Google’s Integrated Conversion Measurement opens a new chapter for mobile

Tighter privacy rules and disappearing device IDs have already rewritten mobile measurement. Google’s Integrated Conversion Measurement (ICM) pushes that transformation into overdrive. At Singular, we see Integrated Conversion Measurement as both evidence and catalyst of a broader reality: ID‑level attribution is giving way to privacy‑first, modeled measurement. Marketers who adapt now will compound learning and growth while everyone else plays catch‑up.

What is Google’s Integrated Conversion Measurement?

Integrated Conversion Measurement provides more real-time, comprehensive, and accurate attribution for your Google App campaigns in your third-party App Attribution Partner interfaces. It incorporates innovative technologies, such as on-device conversion measurement using event data, to improve measurement accuracy, all without compromising user privacy. The result is event‑level insight even when user‑level identifiers are missing.

It covers:

  • iOS 14.5+ users who declined App Tracking Transparency (ATT).
  • Android users in the European Economic Area (EEA).

Because Integrated Conversion Measurement feeds data through Google Ads directly into Mobile Measurement Partners (MMPs), you can surface richer conversion details without ripping up your stack.

Why Integrated Conversion Measurement deserves your attention

  1. Wider Device Coverage
    Integrated Conversion Measurement injects fresh event‑level signals from both Android and iOS where data used to be dark.
  2. Privacy‑First On-Device-Measurement
    Signals stay on‑device until aggregated, so you gain accuracy while upholding platform and regulatory standards.
  3. Fast Enablement
    If you’re already integrated with an Integrated Conversion Measurement‑ready MMP (that’s us), turning it on takes minutes…not months.

Singular and Integrated Conversion Measurement

Integrated Conversion Measurement will be available directly in your Singular dashboard.

Our advanced data analytics and optimization will feed Integrated Conversion Measurement signals into probabilistic and cross-device attribution, giving you even more granular insight and reporting; letting marketing teams act while competitors still refresh dashboards.

In June 2025, Integrated Conversion Measurement will be available directly in your Singular dashboard on iOS and Android.

To enable on iOS:

  • Implement on-device conversion measurement using event data, available June 2025 via the Google Analytics for Firebase iOS SDK v11.14.0+, or GoogleAdsOnDeviceConversion SDK (available via CocoaPods or Swift Package Manager).
  • Update to Singular iOS SDK version 12.8.1 or later.
  • Ensure the “Include Integrated Conversion Measurement Attributions” option is enabled in the Singular partner configuration for Google Ads (available June 2025).

To enable on Android:

  • Ensure the “Include Integrated Conversion Measurement Attributions” option is enabled in the Singular partner configuration for Google Ads (available June 2025).

Closing thoughts

Perfect data is a myth, but responsive, privacy‑aligned insight is a competitive moat. Google’s Integrated Conversion Measurement proves that attribution isn’t disappearing, it’s evolving.

With Singular, you can harness every new signal, optimize faster, and keep winning as the measurement chapter turns. Get in touch with a Singular representative to learn more about Integrated Conversion Measurement, and how Singular can deliver you smarter insights and faster growth.

DraftKing’s Jayne Peressini on ghost ads, measuring TV, multivariate testing, scaling a growth team, and much more

Are ghost ads scary? Only if you’re afraid of incrementality measurement.

And, should the onus for ad fraud be on ad networks or on marketers? You might be surprised at the answer from a super-successful growth marketing leader, Jayne Peressini.

DraftKing’s senior director of growth marketing started with Glu Mobile in London, worked for Cisco, then Razorfish. She also ran ad operations for Machine Zone and was a director of revenue for Reddit. In other words, she knows growth marketing.

Jayne Peressini joins us for the fourth episode of Growth Masterminds, the podcast where we talk to mobile experts so that other mobile experts — you! — can get smarter by seeing and hearing their perspectives.

Listen right here:

Subscribe to Growth Masterminds

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In previous episodes, we’ve talked to European mobile consultant Thomas Petit on ASO, conversion optimization, and more. We’ve also talked to two superwomen in games, Lauren Clinnick and Christina Chen, on getting featured by Google and Apple, running a studio in a non-traditional tech region, and knowing when to scale.

And we spent an hour with the grand master himself, Eric Seufert, on IDFA, GDPR, programmatic, incrementality, and everything else but the kitchen sink.

Some highlights from Jayne Peressini

Jayne Peressini

Jayne on UA managers as mini CEOs of their business:

I think that in UA you can get caught up in what your KPI is, ARPU, ROAS, whatever it is.

But if you think about it — and I tell my team this all time — they’re mini CEOs, they’re investing these dollars and you have to think about it as: how do you mitigate risk? How do you mitigate your investment? Knowing that there is fraud out there, what should we be doing to mitigate that risk?

And that’s on them.

Jayne on ghost ads:

For those that don’t know what ghost ads are, it’s this idea that it randomizes holdout groups, but it also does it in a way that it is segmenting users for expose, but also who would have been exposed to those ads, which is a little different. So ghost ads is a little different than kind of how you would break out like a treatment in a holdout group preemptively.

Jayne on how to minimize the impact of privacy regulation:

Most people have registered, even if they haven’t used our product they have at least created a registration, so we capture some sort of data. For us, it’s easier to tie that because we have a signup, we have a login event. Let’s say you’re a mobile game or you’re a casual app … that might not be the case.

Jayne on advertising campaigns:

Don’t just think about the front end numbers. Think about how expensive it is to nurture those consumers.

And … a full transcript of our conversation with Jayne Peressini

John Koetsier: Welcome to Growth Masterminds. This is the podcast where smart mobile marketers get even smarter.

This is just our fourth episode. In the first one we went to the USA. In the second we went all the way across and down under to Australia, and the third we were in Europe, specifically Spain. And now we’re back to the States.

So our next guest is an amazing mobile marketing expert. You are going to love her. She started her career with Glu Mobile in London. That is not a horrible place to start actually, pretty good company there. She worked for Cisco. That might have been maybe not so interesting, maybe not so boring. She did some PR, but we’ll forgive her for that.

She worked in ad tech with Razorfish, a great experience if you want to be a growth marketer. And she was with Reddit as a director of revenue and ad ops, I mean, that’s gotta be a cool job. She worked for Machine Zone as well in ad ops, and I’m pretty sure just about the smartest people in the world work in Machine Zone, and she’s now the senior director of growth marketing for DraftKings.

Jayne Peressini, please say hello.

Jayne Peressini: Hello. Thank you for having me. I’m so excited.

John Koetsier:  You know, you’ve posted quite interesting articles recently, and so I wanted to start with some of the things that you’ve been talking about. You’ve been in ad tech, you’ve been in the advertising ecosystem for a long time on the inside, and as a buyer as well. You’ve seen a lot of changes over the past few years.

I wanted to ask you, what have you seen that’s really changing? What’s really working now? What’s maybe broken or newly broken?

Jayne Peressini: You know when I post articles, I also try to get the most rise. I try to be a contrarian, but I also, there’s truth and I believe everything I do post.

So, when I look at the industry, I see us replicating things that I’ve done in display, desktop display, when I was a junior buyer just starting out. Which concerns me, but I also see from a mobile perspective, us going in a direction where we have learned from some of our mistakes.

What growth marketers are doing well

So things that I think the industry is doing well, or areas that we’re going towards are, you know, two or three years ago it was not uncommon to be running on upwards of a hundred different sources. And I think what a lot of marketers have realized and the industry has definitely jumped on this bandwagon, is we are as advertisers, we have fueled the fraud ecosystem.

This is not something that was brought upon us by publishers themselves. This was definitely an effect that advertisers brought upon themselves. And I think it’s our job now to fix that. So I see that as being kinda the new thing, the new trend is onus of fraud being back on the advertisers rather than the sources they’re buying through.

I also see marketers more dynamic.

I think a lot of marketers, a lot of smart people in mobile acquisition have been pigeonholed in channel specific buying, and a lot of smart people are now realizing that they can apply the same type of strategies that they’ve used in their channel buying across multiple channels. And you’re starting to see in-house marketing groups work and operate a little bit more dynamically than maybe kind of the static approach that they used to have.

And I think that’s cultivating better talent and retaining people more. I think you kind of saw, if you ever look at peoples’ LinkedIn, people only stay for a year or two and they kind of jump around because they’re not getting exposed to other channels. And I think that this is a good thing that’s in the market where a lot of marketing groups are starting to understand that, hey, if we have smart people, we got to figure out a process, a way that we want to buy and manage media that plays to the strengths of cultivating this kind of new generation of mobile leaders.

And I think the last part is creative.

I think we’ve done such a good job of innovating on the bidding side. And I think creative technology is the next thing that will be big for our industry. The innovation of creative, whether that’s management, tagging, insights from creative, creative, fueling other buying styles, or fueling the algorithms that we use. I think it’s going to be a big change, a big sea change for a lot of marketing groups because it’s been a little bit of an afterthought for some brands and some brands that have taken upon themselves to utilize creative or think about creative from a technical and innovative way are going to be kind of a step or two ahead of their competition.

So…

John Koetsier: Imagine that, marketers rediscovering creative!

How the pendulum has swung and reswung.

Jayne Peressini: It is, I feel like it kind of trends every few years. It’s like, well, we don’t think about creative because we’re not brand marketers, but in fact even brand, now is performance marketing. Even at Machine Zone we were measuring TV. At DraftKings we measure TV.

It’s a performance channel just like any other channel, so there’s no such thing as unmeasurable media these days.

John Koetsier: Absolutely: brand is performance and performance is brand. I mean there’s very, very slim lines separating these right now.

One thing that you said that is very contrarian is that the onus for fraud is on the advertisers. And of course that’s pretty contrarian because a marketer comes and says ‘I have the money, give me what I need’ from an ad network or a media source, right?

But you’re saying, hey, we created this, we have the power to clean it up.

The onus for ad fraud: on advertisers, says Jayne Peressini

Jayne Peressini: Yeah, absolutely. I mean, we’re the ones that hold the purse strings.

I’ve been on multiple sides of the ecosystem, so I feel very confident when I say that because I’ve been on the side where I’m asking for the money from, you know, my days at Reddit, even.  And at an agency where you’re beholden to a client and you’re also trying to help a client, but also interact with these different partners.

And from the advertiser side, if we have the money, people listen to us and we also have to make the smart decisions. And I think that there’s a lot of responsibility in that. It’s not just about kind of managing up and just thinking about your numbers.

I think that in UA you can get caught up in what your KPI is, ARPU, ROAS, whatever it is.

But if you think about it — and I tell my team this all time — they’re mini CEOs, they’re investing these dollars and you have to think about it as: how do you mitigate risk? How do you mitigate your investment? Knowing that there is fraud out there, what should we be doing to mitigate that risk?

And that’s on them. That is not on the inventory sources. The inventory sources are taking direction from us.

If we tell them hit this CPI, they’re going to hit that CPI.

At the end of the day, we’re trying to increase monthly reoccurring revenue. We’re trying to increase new user growth. Those are different challenges. Those require different strategies. And from a fraud perspective, that’s us mitigating that. That is not an inventory source where all they’re trying to do day in and day out is perform for us.

And I feel like it’s kind of playing this hot potato game that a lot of advertisers do. They have to really think about that. It requires a lot more data. Not a lot of advertisers are set up that way to be able to manage fraud.

And I think that is a reflection point as well, as you can’t be running on a hundred different ad networks, expecting every single inventory source to manage the fraud themselves. And not have the infrastructure to do it yourself. I think that if you’re going to grow, if you’re going to decide that you’re in housing, everything, you’re going to be operationalizing your media internally.

You have this massive marketing group. Fraud has to be an aspect of that.

It could be an ancillary layer, whatever it is, but it requires a lot of infrastructure, a different skillset, a whole different team even that’s not for a junior marketer to even manage themselves from a fraud perspective. It’s not an afterthought. It is a, it should be, a central part of your marketing group.

John Koetsier: Right, right, right.

Well, good segue actually, because the next thing I wanted to talk about is scaling ad spend. And often when you’re scaling ad spend, it’s challenging because you open yourselves up to potentially fraudulent sources of traffic, of clicks, of users, of customers.

It’s also kind of interesting, you were at Unify, the conference that we had this past summer, and I’m just writing about some of  the sessions we had at Unify. And in one of them, I believe it’s somebody from Airbnb or Stitch Fix talking about lift tests, incrementality and measuring that.

And you know, if you throw $100,000 at it, one of them was saying, that’s almost nothing these days. This is not a normal thing for most people who are out there, even many marketers who have very minimal budgets. But at DraftKings, at many of the other companies that Singular works with, you’re talking hundreds of thousands of dollars daily budget and other things like that.

So let’s talk about scaling ad spend. What are some of the obvious pitfalls that you have? What are some of the non-obvious pitfalls and what’s a safe way to grow fast? Is there one?

Netflix, ghost ads, and measuring incrementality

Jayne Peressini: Yes, there is. Let’s start at the top.

So when marketers think about scaling, it’s not about adding a new ad network to the media plan. It’s really scaling your business, which is, yes, not a new logo. So the way to scale naturally … a lot of it is reflection on the incremental kind of lift of additional media spend. And Airbnb, a lot of smart marketing groups, whether you’re Lyft or Airbnb, or Netflix is a perfect example of a marketing group that has embraced incrementality.

There’s a paper, a white paper out there from someone within their group that I don’t know if they created ghost ads, but they definitely champion ghost ads.

For those that don’t know what ghost ads are, it’s this idea that it randomizes holdout groups, but it also does it in a way that it is segmenting users for expose, but also who would have been exposed to those ads, which is a little different. So ghost ads is a little different than kind of how you would break out like a treatment in a holdout group preemptively.

And I think that those types of innovations that Netflix has in place are really good ways to operationalize how to measure incrementality. Because to your point, it is expensive.

A lot of people do it where they will serve a PSA ad, a public service announcement ad. So you know, these users get this ad and these users get our brand ad and we look at the lift. Now ghost ads, I think helps with, like most of us work in biddable media, so we have to bid for these users. And so you capture the bid of that potential user as well.

So you’re actually getting more of a true value of what you would have spent on those users.

And I think that the idea of incrementality keeps us a little bit more honest than just throwing more money at a problem that potentially is not about the money, more money to spend. So there’s a lot that we can do. It’s not just new user growth, but it’s also the treatment of how do we retain and grow our current and existing users as well.

And that should be with us.

I think that our industry has some of the smartest marketers in the world, and a lot of them are just looking at the problem of more users, more users, new users, new users, not how do I retain and grow monthly reoccurring revenue as if I’m almost the CFO of my company.

And I think metrics like revenue, but not just new revenue, incremental recurring revenue is a really good approach. A lot of that is kind of this incrementality idea.

You can waste a lot of money with incrementality tests that are a little bit meaningless too. So I think that it’s, you go here, you have to go in with a pretty good game plan. You can’t just throw random incrementality tests out there because it’s not going to get you anywhere unless you’re trying to solve some sort of business problem with the incrementality tests or kind of a cadence of incrementality tests.

Marketing measurement and privacy

John Koetsier: Right, right. Interesting. Tough stuff. That’s kind of a neat segue as well. I mean, we’re talking about incrementality, one of the things that you’ve written about recently and that I’ve talked to multiple marketers about.

Eric Seufert is one example.

There’s obviously a shift towards privacy that we’ve seen. GDPR has been around for some time, California, the Democrats are selecting who will be their candidate for the presidential elections, and privacy and big tech is a big part of that conversation.

If we have more of a shift towards privacy, how will that impact measurability? Are you concerned about that? Do you think that it’s a radical shift or do you think that this move towards incrementality is something that will help us get through this and we don’t need to worry so much about attribution of this particular user ID to that particular campaign, to this particular bit of revenue?

Jayne Peressini: You know, I kinda consider myself lucky and maybe I should knock on wood right now because for DraftKings it’s a little easier for us to measure, and not like everything’s sunshine and roses in a sense, but most people log in when they use our product.

Most people have registered, even if they haven’t used our product they have at least created a registration, so we capture some sort of data. For us, it’s easier to tie that because we have a signup, we have a login event. Let’s say you’re a mobile game or you’re a casual app … that might not be the case.

And I think for those types of categories or those types of industries, these types of laws might impact that. I think that that is a real reality. For us we operate in a very privacy safe way already. Every partner we work with gets a third party data agreement that they can’t obviously use our users’ data or our data. And we already operate with a level of scrutiny on how we manage data, and I don’t foresee us operating any other way.

It hasn’t interrupted our business. I don’t think it will because we already kind of play it safe in that sense.

I also think that this actually gets into more of the conversation that eventually not just and I’m putting all responsibilities now back on us, so now we have to manage fraud … but this might actually make us have to manage our own attribution in a sense too, because if there’s a privacy, if there’s a lot of implications on the strictness of what we can share, what we can capture, that might just put more pressure on the advertiser at the end of the day to be their own attribution partner.

And this is where you get into it might shift, that instead of user-level attribution you do have to go back to the days of channel-level attribution.

Now it’s not ideal. I hope that doesn’t happen. That’s kind of how early 2000’s, that’s what you did. We could go back there if we really want to. I really don’t want to, but we’ll figure it out.

Maybe I’m a little too optimistic about it, but I think that we have to play out every scenario and every game plan. And so we have multiple game plans for whatever’s going to happen in our industry from a legal perspective. So I don’t see this as we’re putting our head in the sand about it. We have multiple ways to approach this and everyone’s going to be in the same boat.

But I do think there’s going to be some categories, some business kind of categories that will do better in the market if these changes occur, versus others, just inherently based on whether they have a registration and signup.

And that might sound super trivial but I just think we’re going to see that in market.

John Koetsier: I think that’s a really interesting insight and I really look forward to seeing what will happen, what kind of business models will be more effective.

The kinds of business models where a customer is really engaged, puts his or her hand up and says, this is who I am, this is how I’m creating an account, this is how you get in touch with me. And I know that person is less of a user, per se, which we’ve fallen into the trap of calling people ‘users’ I tend to hate that, and more of a ‘customer.’

And it’d be just very interesting to see what that’ll change in terms of business models that succeed, but also marketing practices that succeed. We already talked about KPIs that you optimize for, and when you optimize for eyeballs, and maybe it doesn’t matter exactly which eyeballs, or just the eyeballs that are most profitable, that’s a different model than optimizing for logged in, signed up users/ customers.

And that’ll be very, very interesting how that plays out.

Let’s dive into your vertical a little bit. I’d love to talk a little bit about DraftKings, who you target, who’s your competition. You know what people really get out of playing on DraftKings and how’s that impact your key marketing messages?

Jayne Peressini: Of course. We’ll start at the top then.

So our target audience, I don’t want to say it’s everyone, but I do believe that we are trying to broaden our audience. So you can probably imagine that when I was at Reddit, there was a very particular type of audience.

At DraftKings, it actually is very split by vertical.

We have a very different audience that plays DFS (Daily Fantasy Sports) than we do that play Sportsbook and that we do that plays Casino. Some interesting insights that you know from the category in general. In the state of New Jersey since launching, if you look at a year after New Jersey’s implemented or allowed mobile sports betting, 70% of the bets that happen in New Jersey happen on a mobile device.

John Koetsier: Wow!

New Jersey: the sports betting capital of the US?

Jayne Peressini: I think that’s kind of an interesting stat if you think about that.

Actually, New Jersey has passed Vegas in terms of number of bets. So you know, technically you can kind of now consider New Jersey the sports betting capital of the United States, which is kind of weird to think about.

Now that that said, March Madness still from a retail perspective — so people actually going to a Sportsbook. people still fly to Vegas with their buddies and go and bet for March Madness — one of the largest days for Vegas.

I don’t fly to Vegas with my friends to bet on March Madness, but I play Daily Fantasy Sports with my family pretty consistently every week. And it’s kind of a social thing now for us. My grandma even plays, and I think that’s an aspect of the casual or just engagement, we call it ‘skin in the game,’ that daily fantasy sports can have.

Or even Sportsbook, but for daily fantasy sports, which is more of a national product, you can play with your friends on the couch. And you can draft your lineup and it’s almost a conversation starter. And I think that that’s something that a lot of people are starting to realize about sports is that if you don’t want to talk about politics, especially in this day and age, with your family or friends, which can be a little tough.

Sports is a great next topic when you have nothing else to talk about.

John Koetsier: It really is, and the Thanksgiving season is coming up.

Jayne Peressini: Right?

I mean, what better time to talk about sports in the holidays when you don’t want to engage with your aunt or uncle about their views on politics.

So I think sports is emotional too. Like my father is a huge Oakland A’s fan and we went to go see Moneyball as a family with him because we knew that it would be really important for him. And he cried so hard that, you know, the lights came on at the end when the attendants were cleaning the theater, because he was trying to find his contact because he had cried his eyes out so much.

And so you’re playing up to that, right?

It’s an emotional thing for people: who they support, who they root for. There’s multiple ways to be invested in it. So, for Daily Fantasy Sports maybe you’re invested because you want to talk to your family more or your friends more. And this is a way to do that for sports betters that are in States that allow it.

Now that they have more in terms of they don’t have to go drive three hours from a Metro city to go and bet on a game, they can be on their couch still, or at a sports bar even. So we’re actually finding really cool ways to engage with users like that. So for instance, we have some tests going on around leveraging geolocation, so kind of doing a split test between users that have been to stadiums or have been to retail sports books or sports bars and seeing if those users do well when we target them specifically, or geo-fencing, maybe they’re in real time.

So we have some products within Sportsbook that allow you in real time to, you know, within the game bet that match point by point. Whether this play’s going to be a run play, or a pass, or it’s going to be a kick. And the scalability of that and the way that you can play that is very different than if you’re just betting on the outcome of the game. And that just creates different data points, right?

If you want to be in the moment, target those users, it’s a very different idea and concept and strategy, then you want to get them well before the game even starts.

John Koetsier: Yeah.

Jayne Peressini: And so it’s adding kind of these new cool marketing problems to my team, and every day they’re learning something new, like another step or another cool thing that we’ve found even for Casino.

0Weather, right? You’re sitting at home, and especially now when the weather’s changing, maybe you’re in the middle of a snow storm. Casino product plays very well to people that are indoors for a long periods of time. And that’s just an interesting, cool thing that you can target.

So layer on weather data to your media!

John Koetsier: What’s super interesting to me about what you just said is that we’ve been in this zone where social media has been the virtual place where people have occupied tons of time, hours and hours daily.

And that’s still the case, but we see an increasing flood of people, I had one on my Facebook feed just yesterday, said ‘I’m taking a break from Facebook.’ And that’s a pretty normal thing for me to see these days. And sometimes it’s a week break, sometimes it’s a month break. Some people are saying, I’m quitting this social network and I’m moving over to that social network. You can join me there if you’re there, or something like that.

But we see that people may be starting to reduce their hours on those things, and perhaps other social experiences that are around a topic like yours, sports, might be replacing that.

Jayne Peressini: I hope so. Man, I hope so. I mean, wouldn’t that be a great day if that were the case.

I recently went to a comedy show with my wife and they did a cool thing where they made us lock up our phones. So we had these lockers and they made us lock the phones. I mean, I’m sure it was basically so that we couldn’t record the comedy show, but what it did is we were sitting in the theater and you know, we’re killing time an hour almost before the comedian was going to go on, and everyone was talking to each other as if it was the first time in the history of the world that people lifted their heads.

And I think sports plays to that.

A lot of the time that I spent even growing up was playing on sports teams. I was a very active athlete growing up. I was always on sports teams. I felt this gravitation, this sense of community around sports, and what better way than, and I don’t want to say sports is going to bring our nation together in a sense, but it is just a nostalgic, and hopeful and it brings up these emotions that a lot of people, I think just sometimes you just need that.

And it makes me feel good, even if I don’t want a daily fantasy sports contest. I’m happy that I participated with my family. And then everyone makes fun of me for having the worst lineup because I work at Draft Kings.

So like, how could that even happen?

Jayne Peressini’s best advice on …

John Koetsier: Cool. Very cool. We have a few moments left and I wanted to do some sort of rapid fire stuff , best advice for growth marketers. So I’ll shoot and you shoot back.

Best advice for growth marketers on messaging.

Jayne Peressini: Don’t get caught up in A vs B. Think about modified versions, version one, two, three.

John Koetsier: Nice. Multi-variate.

Best advice for growth marketers on advertising campaigns.

Jayne Peressini: Don’t just think about the front end numbers. Think about how expensive it is to nurture those consumers.

John Koetsier: Best advice for growth marketers on building a team.

Jayne Peressini: It’s really hard. It’s really hard. Have faith and manage your team like a soccer manager or a football coach and you’ll be fine.

John Koetsier: Excellent, coaching versus managing, love it.

Best advice for growth marketers on when to scale.

Jayne Peressini: Always be scaling. When you are asked to do it, it’s too late that you’re thinking about it just then. Always be looking for those opportunities. It’s like building your pipeline in sales.

John Koetsier: And last one … best advice for growth marketers on how to scale.

Jayne Peressini: Start by tightening the screws on your current and existing partners, and then after that, look inward at your data and your decision making. And then look outward at new inventory.

John Koetsier: Wonderful, wonderful.

Jayne, thank you so much. This has been such a pleasure. I hope you’ve enjoyed it as well, and I really appreciate you taking the time.

Jayne Peressini: Thank you, it’s been great.

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Ad spend on TikTok jumps 75X from May to November

There are space shuttles and there are rocket ships. And then there’s TikTok.

TikTok has grown an amazing 614 million users this year, according to SensorTower. The social network that’s basically a hybrid of Vine and YouTube is now closing in on 1.5 billion users. That’s serious scale — and serious growth. We haven’t seen that kind of growth since perhaps Pokemon Go, which exploded in 2016 and captured 750 million downloads in a single year.

And some of us never expected to again.

The reality is that when you grow an ad-supported social media platform by more than half a billion users, you’re probably going to grow ad revenues too. In fact, you better … because supporting all those hundreds of millions of new users is going to cost some cash.

Based on data Singular is seeing, TikTok has done just that.

And is well-positioned to continue growing ad revenues significantly for the foreseeable future.

TikTok spending blasts off

In fact, TikTok ad spend by Singular customers has jumped 75X between May of this year and November. (Singular optimizes well over $10 billion in annual ad spend for customers like Lyft, Nike, Rovio, LinkedIn, Airbnb, Twitter, and many others. So we have good visibility into where top advertisers direct their dollars.)

Ad spend on TikTok Jumped 75X from May to November

At the beginning of the year, we saw very limited spend.

The company has been growing fast, however, and in June, TikTok quietly showed plans for a self-serve ad model to select clients. It’s still early days in those efforts, and TikTok will very likely be continuing to iterate on efforts to make it easier for advertisers to build campaigns on the platform. (TikTok, by the way, is integrated with Singular for analytics, attribution, and ad monetization.)

One advertiser I talked to said that he’s “pretty impressed with how quickly they’ve built up the platform,” but that sometimes the speed shows. In other words, there are occasional glitches.

But clearly, whether it’s difficult or easy to access, TikTok’s audience is simply too large to ignore.

And, since 41% of TikTok users are between 16 and 24 years old, it’s the young audience that advertisers crave, because they can drive trends. (Caveat: that stat is from January of 2019 … the average age has almost certainly skewed older as Gen-Xers pile in to find out what the young-uns are doing these days anyways.)

Still a lot of room to grow

To add context, in the beginning of the year ad spend on TikTok was easily less than 1% of advertisers’ combined spend on Facebook and Google. By August and October, TikTok was running between 3-5% of spend on those platforms.

It’s still a small fraction of what you see on those leading and well-established platforms, but there’s clearly room for more. Ad load — the frequency at which users see ads — is about 22% on Instagram, for instance. That means for every 5 pieces of content, roughly one of them is an ad. And, Facebook is testing higher frequency in Stories. On TikTok, however, the current ad load ranges from a similar high of one every five videos down to a low of one every 20, @mattcatbat, a Tiktok user with over 450,000 followers, told me.

That high-water-mark is not common, in my experience. In my personal testing — yes honey, all that time on TikTok is actually work — I’m seeing very low ad loads … definitely on the low end of the scale.

Which, very simply, means that as TikTok ramps its self-serve platform and other features for advertisers, there’s a lot more potential for growth.

What’s working on TikTok?

In spite of the platform’s massive growth, it’s early days still on TikTok.

TikTok ads: retail & marketplace

We see retail taking the lion’s share of the ad spend on TikTok, along with marketplaces. Retail makes perfect sense: you’ve got a young and presumably fashion-conscious audience on TikTok. These are people who are likely to be influenceable with the latest trends and fashions, and they’re incentivized to purchase.

Markeplaces is a category at Singular into which we put customers who are looking to acquire at least two sets of platform participants. A classic example would be an on-demand food delivery service. These services typically want to acquire both customers (food buyers) as well as delivery personnel (drivers), and probably also food providers (restaurants).

Many of these brands have similarities to retail.

Essentially, they’re looking to add buyers: end-user customers. But TikTok also has a large audience of young adults — some of whom drive — and who probably need a bit more disposable income. So many marketplaces could conceivably add service providers here as well.

We don’t see a lot of gaming yet, which is surprising (at least for us: many Singular customers are game publishers, and they’re usually pretty quick to test new things). We don’t see a lot of financial services, either, which is not surprising.

But that doesn’t mean that no game publishers or fintech companies are active on TikTok. Quite the opposite.

Fintech and gaming: on TikTok?

In fact, one advertiser I talked to is advertising on TikTok for his fintech company.

They haven’t made their content especially TikTok-friendly, but they’re still seeing similar returns compared to other platforms. This suggests two things. First, investing in making content that is more TikTok-friendly should boost engagement and likely also conversions. And second, advertisers in verticals that have a preconception that TikTok would not a good fit for them … should reconsider and test the platform.

Another advertiser I chatted with had similar results in the gaming vertical: not great, but similar to other channels.

One benefit here: since the younger demographic that TikTok specializes in is not on Facebook and might not be accessible via Google either — other than via YouTube, perhaps — TikTik could be accessing a whole new audience for your app or brand.

Of course, you’ll need to do your incrementality testing.

But you may find that you’re accessing a previously unreached audience.

Summing up: test away!

There’s a lot of activity on TikTok, and it’s growing fast. As seasoned advertisers know, the greatest opportunity often comes when platforms are young and there’s less competition.

That means you should be diving into TikTok and testing it for your vertical and your offers. If you do in fact reach a new audience and find ways to connect effectively, you’ll reap greater rewards than those who wait.

It is important to note that while we do see a lot of ad activity, our results, very naturally, are biased to our customer set. So it’s not clear that what we’re seeing is completely representative of TikTok’s reality. However, it should be a good indicator.

How Singular can help

Singular is a mobile measurement partner for all the major platforms, and we’re also integrated with TikTok for analytics, attribution, and ad monetization.

Do a demo, and get a free trial of the Singular offering.

We can help you test and measure your results on all advertising platforms, including TikTok.

Growth marketing: 5 trends to watch from Singular CEO Gadi Eliashiv

Growth marketing is going through a major transition, especially in mobile marketing.

It’s not the growth hacking of a few years ago, with tips and tricks to juice user acquisition. And it’s not just about social media or a limited set of marketing channels. Rather, it’s a set of holistic marketing efforts based on a complete growth strategy, built with data-driven scientific marketing via tracking/measuring tools and incrementality data.

Singular CEO Gadi Eliashiv spoke about five key trends impacting the state of growth marketing at our recent UNIFY conference in Napa Valley. You can see his entire presentation — and almost all of the presentations at the conference — at UNIFY @ Home right here.

Or, watch it right here, starting at about 5:30 after our co-founder Susan Kuo’s intro to the conference:

So what are these key trends in growth marketing?

Trend 1: Convergence into a single platform

You’re using too many marketing analytics and other MarTech tools: maybe as many as 91 across your larger enterprise. And that’s a massive problem.

With so many different systems, you’ve got non-matching datasets and no clear way to combine the data together. So much for a single source of marketing truth!

The result is a new focus for marketing teams:

“People want to establish a single source of truth. They want to have one system with numbers they can count on,” Eliashiv says. “People want consistency … being able to consolidate your stack to the right platform really helps do that.”

That’s why Singular has evolved so much from its founding.

Where at the beginning Singular started with a single simple idea — data is at the core of marketing — the company has added analytics, automation, data governance, deep links, and deterministic fraud prevention. And that’s not all: Singular now also does audience management, bids and budgets, creative analytics, web measurement, automation, and (of course!) mobile measurement as an MMP.

Singular remains vendor agnostic, Eliashiv says. Marketers can plug different components in and out. And, they can use third-party vendors to complement what Singular does.

Still, people are consolidating their vendors:

“60% of our customers are streamlining their stack with us,” Eliashiv says.

Trend 2: Rise of the CGO (or growth organizations)

Marketing teams aren’t what they used to be. They’re not just awareness-generating machines, though they’re also not exactly sales teams. Nor are they simply silo-focused only on user acquisition or customer acquisition.

Instead, they’re growth teams, often led by Chief Growth Officers, VPs of Growth, or a growth manager. (Not, you’ll notice, growth hackers.)

Their focus, Eliashiv says?

These experts in digital marketing build a marketing team that can catalyze growth across the company.

“They are cross-functional by nature,” Eliashiv says. “They can deal with product, data science, with finance, with engineering, and with marketing of course … when these functions become successful, they take on more and more responsibility around the company, and that trend is very positive to companies being aware of their data.”

That means they pay attention to product-market fit. To the overall business. To product itself. To content marketing, where appropriate. And, of course, to some instances of growth hacking strategy and other elements of digital marketing … where they can be applied to long-term growth.

Interestingly, according to research we recently did, growth-focused organizations tend to have bigger teams — twice the size of typical companies. And a big component of what they do is data science and artificial intelligence.

Trend 3: Cross-platform and cross-device

We don’t just live on one digital platform anymore. Instead, we access services and information across a wide range of devices and platforms … and brands need to be able to serve people intelligently wherever that contact happens.

And adapt marketing strategies accordingly.

“Cross-platform is picking up steam really fast,” Eliashiv says. “In the past, a lot of products were built for a single platform: web, mobile, console. Now, a lot of products are really holistic across platforms.”

A growth marketer knows that the marketing funnel is actually multiple funnels, and the customer journey is perhaps as many journeys as there are customers.

That leads to a new set of challenges: incomplete and incompatible datasets across multiple marketing channels including web, mobile, and other platforms. Getting consistency of communication and customer state across platforms is a major challenge. Plus, measuring customer activity and conversion rate across multiple devices is hard, making ROI calculation difficult or impossible.

Ultimately, your strategy and your marketing campaigns need to adapt. Traditional marketing won’t cut it anymore.

The solution, Eliashiv says, is that Singular expanded data collection across about 500 new platforms.

“We are empowering unified data,” Eliashiv says, which enables cross-device attribution. “Often we receive customer data across platforms and do the stitching together on the back end … the key idea here is to be flexible.”

Trend 4: Doubling down on ad monetization

Ad monetization is not just about hyper-casual games.

“You can build quite a unique business model based entirely on ads,” Eliashiv said, hinting at the monetization model behind literally some of the biggest companies on the planet today.

But in traditional mobile publisher structures, that creates challenges for growth marketing teams: divided loyalties, or at least different goals.

The user acquisition team wants to do what it has always done: grow new users or customers. The monetization team wants to do what it has always done: maximize revenue. But now, the datasets are colliding.

Monetization teams need to look at in-app purchase (IAP) revenue plus ad monetization revenue (and any other way they’re building revenue). And they need that data consolidated, not separate. UA teams, in contrast, need to see ad revenue in ROI calculations so they can accurately understand return on ad spend (ROAS) and profitability for each new cohort of users.

Fortunately, Singular has a solution:

“To be able to see all the data in a single place, we worked on an analytics capability to aggregate, normalize, and provide all the key metrics that monetization teams care about,” Eliashiv says. “Like, what is my eCPM? What is my fill rate? That’s not necessarily tied to user acquisition but tied to my monetization. What kind of instances do I have, or placements?”

In addition, Singular has tied ad monetization into the ROI formula so that acquisition teams can get good data on their returns from their efforts.

Trend 5: Ad fraud

Ad fraud is still a “pain in the ass,” Eliashiv said. It’s a hidden cancer that both takes your money and destroys your optimization … because you don’t know what is true anymore.

That seriously cuts into your growth rate, brings in fake users, and stymies digital marketing campaigns.

But there’s a bigger problem in the fight against ad fraud:

“Two years ago … there was a lot of buzz,” Eliashiv says. “But then afterwards there pretty much was stagnation. There wasn’t any key innovation in the space. And what happened is that fraudsters got more and more sophisticated, to the point where people feel secure when they have ‘something’ that prevents fraud, but it doesn’t mean that it’s 100%. It doesn’t mean that it’s capturing what they need to capture. It doesn’t mean it’s even staying up to date.”

Attacks today are much more sophisticated, and growth teams might not even know that they’re losing money because their tools just are not intelligent enough or aware enough to block or identify new forms of fraud.

Singular took a different path and has been looking for 10X solutions to ad fraud, Eliashiv says.

That’s resulted in next-generation iOS fraud prevention and an industry-first: deterministic Android install validation, which we formally released in August of this year and has been saving companies hundreds of thousands of dollars.

There are a lot of misconceptions about fraud in the market.

“Not all solutions are alike,” Eliashiv says. “That’s probably the biggest misconception. People think: ‘I have a solution,’ but it doesn’t always mean that you truly are protected. People often think it’s a specific bad channel that you should avoid. We found fraud even in the biggest channels.”

That is why Singular now offers a complimentary “fraudit” … a fraud audit courtesy of our cybersecurity specialists. Solving fraud will kickstart user acquisition and customer acquisition by providing much better returns on marketing investments.

Next steps

The full video is available above, and all of the UNIFY videos are available at UNIFY @ Home.

In addition, if you’d like to see how Singular is addressing these issues in person, or if you’d like to have a fraud audit, talk to us about a private demo.

Singular CEO Gadi Eliashiv on chief growth officers and the rise of marketing intelligence [video]

Over the past decade we’ve seen the rise of the marketing technologist, who has one foot in the marketing department and another in engineering. And we’ve seen the data scientist role jump from almost nonexistent to being one of the fastest-growing jobs in just a decade.

Increasingly, as marketing is changing, technology is central to how marketers perform. Growth is now a key unifying function in brands and enterprise, and we’re also seeing the rise of the Chief Growth Officer.

We’re releasing a report on that in about a month.

But … our CEO Gadi Eliashiv gave a sneak peak at some of the results recently at Mobile Apps Unlocked in Las Vegas.

The rise of chief growth officers

Ultimately, the way chief growth officers lead their organizations is by using data-driven insights. Some of the most successful leaders drive those insights via marketing intelligence platforms like Singular.

The primary function of a marketing intelligence platform?

To provide insights for growth by connecting effort with outcome at granular and aggregate levels.

Ultimately, that’s how CGOs and other growth leaders get the score. Understand if they’re winning or losing. And know at both as high level and as granular as they want: how successful are our marketing, our campaigns, our ads, our creative.

Knowing that — and getting smart insights for optimization — powers breakthrough improvement in conversions and ROI. And that’s exactly what most brands, enterprises, and companies need.

Finished the video?

Click here to get a demo. See how Singular enables unprecedented growth for the most sophisticated marketers on the planet.

Singular ROI Index 2019: The unmissable advertising ROI webinar

Singular’s ROI Index is the largest study that ranks top ad networks globally based on their ability to deliver ROI for advertisers. We’ve already published the Index and made it available to the world, giving you the ability to find the best advertising ROI available.

But now it’s time to dig deeper.

This webinar goes beyond the Index to talk about not only where individual media sources rank, but also what some of the key differentiators are.

Meet the experts

To do that, we’re going to bring in the experts: Susan Kuo, Brian Sapp, and Christen Luciano. (Yours truly, John Koetsier, VP of Insights at Singular, will moderate.)

Susan and Christen have deep insight into how various ad partners performed in the Index. Brian has an even deeper insight into what mobile marketers look for, and what they need in terms of advertising ROI from ad networks.

Susan Kuo
COO, Head of Business Development
Susan has an extensive background in mobile ad tech, analytics, and gaming. Prior to Singular, Susan held senior leadership roles at Onavo and InMobi. Susan is an active member of the mobile community and serves on the advisory board for several mobile-focused start-ups.

Brian Sapp
VP, User Acquisition Marketing, Jam City
A mobile veteran with previous roles at Tapjoy and Web Games, Brian manages user acquisition for Jam City, which currently has six of the top 100 highest-grossing games across the App Store and Google Play.

Christen Luciano
Director of Partner Development
Christen oversees Singular’s relationships with key partners. Prior to Singular, she was a product marketing manager with Kenshoo and held multiple additional marketing roles. Her focus is collaborating with top marketing platforms to help advertisers grow reach and maximize performance.

We’ll review the 2019 Singular ROI Index, but also talk about fraud, things marketers need to know about their ad campaigns, some of the biggest surprises, and the role SANs (self-attributing networks like Facebook and Google) should play in marketers’ ad campaigns alongside some of the mid-tier players.

Advertising ROI is critical, of course, but it doesn’t happen in a vacuum.

So we’ll also talk about how to find niches of profitable growth, new innovative players, and what to look out for.

One of the things that the 2019 Singular ROI Index makes very clear is that Snap and Twitter have made significant moves recently in terms of the value they offer to advertisers. We’ve seen that in their recent quarterly reports: Snap grew quarterly revenue almost $100 million year over year, and Twitter had record quarterly earnings.

We’ll talk about what we’re seeing in the platforms that is driving increased advertiser adoption, and we’ll talk about everything else the Index reveals about advertising ROI.

We asked 1500 marketers how they choose ad networks, and the answer was ‘all of the above’

Is it scale? Quality? Lack of fraud? Personal service, or a great digital experience? Amazing technology? Or perhaps a tight focus on your particular niche?

We recently asked 1,500 marketers a simple question:

How do you choose ad networks? And what are the most important elements of that decision?

According to the responses, it’s pretty much all of the above. If they were absolutely forced to just pick one, completely compelled to isolate one single most important factor — on pain of losing their quarterly bonuses or maybe even the free triple-venti-soy-no-foam-lattes at the office — it’d probably be scale and reach.

But it’s a tight competition with the other options.

We only surveyed marketers who actively run ad campaigns. And the results make it clear that ad networks have their work cut out for them, because marketers are not easy customers. Quite simply, when it comes to choosing an ad network, they want it all, and they want it now.

most important factors when choosing an ad network

As we all know, when everything’s a priority, nothing is a priority.

Looking at the results, we’d almost be tempted to say that when marketers are asked to choose ad networks, they don’t have a clue what the most important factors are.

But that’s probably unfair.

Individual marketers probably have a pretty good idea what works for them … and how to improve it. However, it is clear that marketers as a group lack consensus on what’s most important in finding new ad partners.

And that might just be the nature of the beast:

It’s not like this is easy.

Of course fraud protection is important. Of course scale matters. Of course a media source’s target tech can be a difference-maker. It never hurts when an ad network has special ability to focus on your specific vertical. And getting the best quality traffic, users, or customers is essential.

So it’s no surprise which ad networks marketers trust most.

We asked the same marketers that question, and the top four were names your grandparents recognize: Google, Facebook, Amazon, and Apple. They’re all massive companies, name brands, and have largely walled garden ad ecosystems, which typically means extremely low fraud.

But your marketing can’t end there.

Why?

We know that most marketers who are successful use many ad networks. In fact, they typically achieve 60% more conversions with 37% less cost. That’s not easy, and it takes work. Profitably scaling media sources is hard.

When everything matters, all your decisions are challenging. Because not all ad networks have huge scale, or super-strong fraud protection, or amazing targeting. But there are typically pockets of profitable growth spread in many different media sources.

200 CMOs on marketing data: ‘Actionable insights’ are top priority for 2019, followed by consumer privacy

What do brands need most out of their marketing data in 2019?

Actionable insights, consumer privacy protection, and full marketing data unification, chief marketing officers say.

I recently asked 199 CMOs, VPs of marketing, and other marketing leaders what their biggest challenges for marketing data will be in 2019 for a story in Inc. (There was far too much to write there, so this post became necessary.) Tops on marketers’ lists of priorities? Actionable insights in an avalanche of data. But just behind it in today’s climate of consumer privacy breaches was privacy – and trust.

Here’s how Felicity Carson, CMO for IBM’s Watson division, put it:

“Among all the marketing data challenges, the biggest in 2019 will be how marketers instill trust in data – both for the marketing discipline and customers – balanced with the need to improve customer experience.”

The 800-lb gorilla in the room?

Marketers have far too much data already. That’s a consumer privacy risk, but it’s also a potential marketing intelligence nightmare.

“Marketers are drowning in data from various analytics systems,’ says Jo Ann Sanders, VP of Product Marketing at Optimizely. “What marketers are going to have to do going forward … is to go beyond analytics data … and adopt new, agile test and learn practices.”

Marketers don’t need more data.

What they need are actionable insights drawn from the data they already have. Marketers’ third priority, unifying all their marketing data, will help.

“With the exponential growth of data over the past decade and into the new year, it’s becoming harder daily to turn information into action,” says SurveyMonkey CMO Leela Srinivasan. “While more data has the potential to deliver more meaningful insights, prioritizing an action plan to address it is critical.”

Consumer privacy and data security

Insights are essential for growth, that’s clear.

But a strong brand untainted by consumer privacy breaches is also essential for growth. Anyone who feels otherwise, just ask any company that experienced a privacy breach in 2018 … and look at its stock price impact.

That’s why, almost shockingly, marketers’ second-biggest concern has now become consumer privacy, the security of consumer data that brands now possess, and regaining the trust of their customers.

“The single biggest challenge B2B marketers face in the coming year will be balancing privacy and personalization to regain the trust of their audiences,” says Penny Wilson, CMO of social media marketing platform Hootsuite. “That starts with respecting [consumers’] privacy, being open and transparent about when and why data is collected, and then leveraging the data that customers are willing to share to create personalized one-to-one experiences that deliver unique value.”

This requires a massive change in data collection policy.

“Going forward, brands must focus less on maximizing reach, and more on generating transparent, quality engagements that add value to their customers,” Wilson adds.

This is not business as usual for marketers and advertisers, who have typically wanted as much data as possible. In fact, a new “social contract” between brands and consumers will become so important, says Lloyd Adams, SVP at SAP North America, that data ethics will become more important than data analytics.

Unifying marketing data: a top-3 priority

What else do marketers care about?

Not far behind privacy/security/trust, marketers rank unifying marketing data as a top-three priority.

The challenge is obvious.

In a universe of 7,000 marketing and advertising technology tools, marketers are both doing and learning so much more from their prospects and customers. But most of those actions and insights are being generated in siloed, dispersed systems.

“The problem is, we’ve put too many tools in place to collect and analyze marketing data that are too hard to use and it’s causing a lot of frustration,” says Tim Minahan, CMO of Citrix. “Marketing professionals are spending way too much time searching for information and clicking through multiple pages in applications to gather the insights they need to design, execute, and measure effective campaigns.”

The result is not pretty.

“Everyone’s data is a mess,” says Peter Reinhardt, CEO of Segment.

Identifying insights from your marketing data and then unifying them for a single view of customers – and a unified understanding of marketing success – is critical to cleaning it up.

“Data lives in different places — sales, customer service, digital marketing,” says Selligent Marketing Cloud CEO John Hernandez. “The biggest data-related challenge [for 2019] will be consolidation and a full 360-degree view of the customer relationship.”

That’s a difficult challenge, Hernandez says, and CMOs agree.

And in fact, not only is it hard right now … it’s getting harder.

“The biggest issue with marketing data is federating it into a meaningful whole picture,” says Eric Quanstrom, CMO of Cience. “As CMO, I live in (literally) a dozen different dashboards, daily. And that number is growing.”

Marketing data used to be fairly simple: survey data, market data, customer data, product use data, and probabalistic reporting on ad performance in traditional channels. New digital channels offer deterministic reporting possibilities, but with web and mobile and apps and wearables and IoT – to say nothing of platform proliferation like email and social and messaging and search – it’s getting harder.

And all of that proliferation leads to siloed data sets.

The problem with siloed data is that fragmentation subverts complementarity, says Rebecca Mahoney, CMO at MiQ. When data isn’t complementary and doesn’t add up to a complete picture, the marketing results is an inability to detect new opportunities, or see weak links in existing marketing campaigns, she says.

Data lakes may not save marketers, says Daniel Jaye, founder of Aqfer, a data lake provider.

In fact, they can actually exacerbate the problem because most data lakes inevitably become data swamps, Jaye says. Widespread data proliferation, chaotic file partitioning and sharding practices, and the lack of traditional data management tools all cost marketers the opportunity to achieve integrated insights.

Marketing intelligence unifies data insights

But there is hope.

Good marketing data practice does result in growth.

“With a holistic view of data, powered by marketing intelligence, campaign performance will drastically improve, and otherwise unidentified business opportunities will become unlocked,” Mahoney says.

It’s true that not every marketer will have a single marketing cloud for all their marketing technology and data needs. And even most marketing cloud customers also use additional tools to engage and understand their customers.

That suggests that centralization of marketing insights, particularly on paid but also on organic marketing efforts, is what will help marketers the most. Engagement happens where the customers are and data lives in the tools a brand uses to connect with them. Marketing intelligence aggregates then insights from the entire gamut of customer engagement into one single unified view.

(Learn more about that here.)

Other top concerns: quality, quantity, and AI

Marketers are also concerned about the quality of the data that they have, and its accuracy. 13% said that accuracy was a top concern in 2019. Another 12% said they have too much data.

“In many ways, marketing has too much data on its hands,” says David Meiselman, the CMO of corporate catering company exCater.

As Citrix CMO Tim Minahan said above, we’ve put too many tools in place to collect and analyze marketing data. The result is frustration.

A potential savior?

Artificial intelligence.

“We … believe marketing and customer engagement will be an excellent first use-case for enterprise AI,” says Patricia Nagle, CMO at OpenText. “AI systems can analyse structured and unstructured data to identify opportunities for marketing outreach, customer support, and other actions that enhance overall customer experience.”

That’s true, and AI is a tool that marketing is already seeing results from in fraud reduction, creative reporting, and other areas.

But it does some with some dangers as well.

“Deep learning models have been shown to be vulnerable to imperceptible perturbations in data, that dupe models into making wrong predictions or classifications,” says Prasad Chalasani, Chief Scientist at MediaMath. “With the growing reliance on large datasets, AI systems will need to guard against such attacks on data, and the savviest advertisers will increasingly look into adversarial ML techniques to train models to be robust against such attacks.”

And finally … all the other quotes

When you ask 200 top marketers for their insights, you get a lot of insights. And they’re too good to bury.

So here are many of the additional quotes that marketers provided, broken down into categories that I’ve chosen. Some of them are partially referenced above, but are given in complete form here. Each of the responses is answering a simple question:

What are brands’ biggest challenges with marketing data in 2019?

Marketers need: Data accuracy and quality

Peter Reinhardt, co-founder and CEO of Segment

The biggest challenge for marketing data in 2019 will be data correctness. Everyone’s data is a mess. Consumers are bombarded with tons of noise, much of it based on wrong data, names, and locations. As a result, customers are burned out. It doesn’t matter how much a company invests in personalization if the underlying data is incorrect. For businesses to truly succeed in 2019 and beyond, they need to prioritize making sure their data is clean and accurate.

Martha E Krejci, The Tribefinder

The biggest challenge with marketing data in 2019 will be determining how good the data really is. Before this rise in cookie awareness people weren’t really flushing the cookies or clearing their cache as much, which lent itself to long-standing good demographic data. Now, the data isn’t as deep, therefore not as reliable. In 2019, businesses will need to learn to re-target.

Joanne Chaewon Kim, Junggglex

Not surprisingly, war against fraud will be the biggest challenges mobile marketers will have to face. In addition to common fraud cases like SDK spoofing and click spamming, more and more new types of fraud will stop developers from obtaining real users. Our job as mobile marketers is to keep educating ourselves about different types of fraud and the pattern of each fraud cases, so that we can take a proper action when we find them.

Marketers need: Actionable insights and marketing intelligence

Mark Kirschner, CMO, Albert

The best tools solve the disconnect between data, insight, and action, incorporating multiple sources of data to execute, allocate, attribute and optimize digital campaigns across channels.

Tara Hunt, CEO + Partner, Truly

Marketing data still struggles with insights and it would be amazing to see more of a focus on this essential craft. There are endless tools for gathering the WHAT – numbers and histories and basic information about your customers – but very little that helps us figure out the WHY. The big challenge in 2019 (and likely for a few more years) is going to be training people to understand how to read the what to get to that why.

Phil Gerbyshak, Digital Selling and Marketing Strategist

With all the data collected, the biggest challenge with all the marketing data is finding the most meaningful data, and then figuring out the most actionable insight from that meaningful data. Too often reports for reports sake are created, even with AI to help us find the patterns. Taking the time to think about what you want to accomplish and setting up your data accordingly will challenge marketers and delight stakeholders in 2019 and beyond.

David Berkowitz, Principal, Serial Marketer

There is so much data out there that ‘big data’ is no longer the priority; there is a need for actionable data that means something to marketers. The other challenge is that the biggest winners on the platform side are increasingly closed and stingy with their access, which may be necessary for consumers and benefits the platforms but hurts marketers. Finally, marketers will have to grapple with a savvier base of consumers who are constantly reading mainstream press coverage about data abuses; marketers will need to determine how cautious they want to be with collecting and accessing consumer information.

Douglas Karr, CEO, DKnewmedia

What is the biggest data challenge for marketers in 2019?

Building actionable results based off of accurate data. We continue to see an inability of our clients to properly read analytics and come to assumptions. I hope continued AI and machine learning will add tools to assist.

Felicity Carson, CMO, IBM Watson Customer Engagement

Among all the marketing data challenges, the biggest in 2019 will be how marketers instill trust in data – both for the marketing discipline and customers – balanced with the need to improve customer experience by identifying meaningful patterns buried deep within the deluge of data. Compounding this challenge is the need to break down compartmentalized martech and adtech stacks that house this information, coupled with the need to have contextualized understanding of aggregated customer data across the organization such as commerce and digital teams. Marketing teams will need to rely on AI to achieve this level of high performance at scale, particularly in the new era of the ‘Emotion Economy’ that requires organizations to engage with customers in relevant ways on issues that personally matter to them.

Julie Huval, Beck Technology

The biggest challenge with marketing data in 2019 will be to decipher which of the outlier [datapoints] are leading indicators into new market growth.

Leela Srinivasan, CMO of SurveyMonkey

Today, we have access to more data than ever before, but with the exponential growth of data over the past decade and into the new year, it’s becoming harder daily to turn information into action. A study by IDC bleakly projects that by the end of 2025 only 15% of global data will be tagged; of that, only 20% will be analyzed and approximately 6% will be useful.

While more data has the potential to deliver more meaningful insights, prioritizing an action plan to address it is critical. In 2019, B2B marketers will be laser-focused on finding a way to cut through the massive troves of data available and identify the insights that matter most.

Christina Warner, Walgreens Boots Alliance

The biggest challenge with marketing data is the ability to find the useful insights to create concrete actionable next steps. We have so much data, but not enough of an efficient way to sift through the noise accurately for truly useful data.

Lauren Collalto-Rieske, CMO, Contap Social

The biggest challenges we have as a startup are: having easy-to-use data that doesn’t require a ton of training like a Nielsen or IRI platform and being able to triangulate all of our data among a two-person team. Right now, we are using about 8 different vendors to analyze one or more stages within the customer lifecycle, and while it’s great to have all of this data, it’s not easy to triangulate it. It would be great to have 1 platform that could assess all or most of our marketing program’s performance, but those platforms usually come with a large price tag that we can’t afford.

Moshe Vaknin, CEO and CO-Founder, YouAppi

One of the biggest challenges marketers will face in 2019 is how to better analyze consumer behavior and turn those insights into effective marketing. Consumers spend 40 hours a month and three hours a day in apps, mobile time spent will surpass time spent in TV in 2019, so marketers need to change their traditional planning behaviors for this brave new world. They must integrate their traditional teams with their digital teams, combine their video teams into one cohesive team, and integrate the data across all channels so that they can be smarter about how they find their most valuable customers. It is also getting harder with privacy, however, companies with strong technology especially predictive algorithms can predict users intentions based on less data. We are just scratching the surface on data analysis and with new data privacy laws, this challenge will only get harder.

Tim Minahan, Chief Marketing Officer and SVP, Citrix

Every marketing challenge can be whittled down to a mathematical equation – whether it’s measuring customer sentiment, tracking conversions, or weighing the return on a particular campaign. Data-driven marketing can eliminate much of the he-said/she-said friction that has historically muddied sales and marketing relationships. It can cut through emotional biases and drive the right course of action to reach and win the market and deliver the best results. The problem is, we’ve put too many tools in place to collect and analyze marketing data that are too hard to use and it’s causing a lot of frustration. Marketing professionals are spending way too much time searching for information and clicking through multiple pages in applications to gather the insights they need to design, execute, and measure effective campaigns.

To tackle this problem, marketing organizations need to tap into intelligent technologies like machine learning that can make data-driven marketing smarter and easier to execute. Machines can recognize patterns and analyze things with greater speed and efficiency and automatically deliver insights and intelligence that humans can use to make more informed decisions and engage customers and prospects in the most optimal way. And beyond tools that automate tasks and make marketing more efficient, we need to equip our teams with solutions that enable them to push the envelope. Like using artificial intelligence and machine learning to see data in new and innovative ways. Or leveraging augmented reality to create entirely new worlds where we can interact with customers in insanely personal ways.

Julia Stead, VP of Marketing, Invoca

As marketing tools and automated solutions continue to flood the market, the biggest challenge marketers will face is applying data to create timely, emotionally-reciprocal experiences. More and more consumers desire a human to human connection and want to communicate with an empathic human rather than a bot or an algorithm. The year ahead will be a pivotal milestone for marketers and brands, the ones that use their data to better understand consumer behavior and leverage it to create more personalized, human connections will succeed, while the ones that do not will risk losing loyal customers.

Tirena Dingeldein, Research Director, Capterra

In 2018, if you’re a marketing professional that listened to recommendations of marketing experts everywhere, you collected a lot of customer data and used it to formulate campaigns. The problem of moving marketing forward into 2019 is two-fold; security and recognizing changes in data before solid patterns are defined. Data security, obviously, will be most important for maintaining trust between marketing and their audience, whereas recognizing emerging patterns in the data deluge will mean the difference between cutting-edge marketing or just ‘catching up’ marketing in the new year.

Sid Bharath, growth marketing consultant for tech startups

The biggest challenge with marketing data is figuring out what signals to pay attention to and how to prioritize them. With an explosion of data, the bottleneck moves to how fast you can execute on what the data tells you, and unless you have unlimited resources, you need to prioritize them.

Kent Lewis, Anvil Media

The biggest challenge with marketing data in the coming year will be gaining actionable insight from a flood of data generated via a diverse and numerous set of online (and offline) channels, including social media, website, email, events, PR and advertising.

Daniel Raskin, CMO, Kinetica

The Marketing Data Scientist will be focused on deriving detailed insight about customer behavior and producing reliable predictive and prescriptive insights based on complex data models and machine learning. These models will evolve from historical analysis into real-time applications that transform how products are delivered to customers.

Gennady Gomez, Director of Digital Marketing, Eightfive PR

As marketing data becomes not only more accessible but also much more bountiful, there will be an exponential increase in analysis paralysis. As a result, we’ll start to see the focus in martech shift from data mining to insights reporting, driven by data science and machine learning. These new breed of tools will be critical for marketers as they sort through, identify, and filter actionable data.

Jordan Bishop, Partner, Storied Agency

Until our ability to glean insights from all this data catches up to our ability to capture it, we’ll face the same issue as a city with plenty of cars and not enough roads: traffic. Don’t confuse having more data with having more insights.

Marketers need: Unified data

John Hernandez, CEO, Selligent Marketing Cloud

The biggest data-related challenge will be consolidation and a full 360-degree view of the customer relationship. As it stands, data lives in different places — sales, customer service, digital marketing — and migrating it into a single platform and making sense of it all is going to be difficult. I hope that in a year’s time, we’ll see a lot of progress and proof that leveraging data to focus on delivering personalized, more relevant experiences is the optimum path for better engagement, stronger sales pipelines, and more meaningful marketing results.

Latane Conant, CMO, 6sense

Emerging technology has improved marketing strategy, but the challenge marketers are facing is the daunting task of managing a large number of applications. In the next year, more CMOs need to take a platform approach. Investing in a platform that can be integrated into an existing CRM allows organizations to easily unify their revenue teams, and with the addition of AI incorporated into the platform, unified teams have insight into the behavior of modern buyers with the use of real-time data.

Meisha Bochicchio, PlanSource

Connecting the dots between marketing touch points and giving proper attribution has been and will remain a major challenge for marketers in 2019 … it can be hard to get a full 360-degree view of the true marketing and sales funnel … it is still nearly impossible to combine data from multiple touch points … to paint a full picture of marketing efforts and sales results.

Dietmar Rietsch, CEO, Pimcore

Many marketers have so much data from multiple domains on hand, but no way to streamline and manage it in one centralized location to gain valuable insights.

Eric Quanstrom, CMO, Cience

The biggest issue with marketing data is federating it into a meaningful whole picture. As CMO, I live in (literally) a dozen different dashboards, daily. And that number is growing.

Daniel Jaye, Founder, Aqfer

2019 will be the year enterprises discover that serverless data lakes are a thing, and that they inevitably become data swamps due to widespread data proliferation, chaotic file partitioning/sharding practices, and the lack of traditional data management tools. As marketers are still floundering to piece together the data and figure out whether or not campaigns truly succeeded—they will realize that they can’t keep their heads in the sand on data any longer, and must work to get a better grasp on data management in order to get to the truth about their customers.

Kelly Boyer Sagert, Dagmar Marketing

The biggest challenge will be how to tie all the data together to clearly identify what marketing channels are working or not working. There are multiple touch points to a buyer’s journey and it’s very common to see multiple marketing channels involved in the buyer’s decision, which makes it hard for analytics tools to attribute accurately what marketing channel contributed the most.

Amanda Romano, Twenty Over Ten

The biggest challenge in 2019 will be the ability to bring together … multiple sources of data to connect the dots, make informed decisions and act quickly on those insights.

Aman Naimat, CTO, Demandbase

The marketing technology landscape is increasingly fragmented and that’s not going to slow down. But marketers will need to find a solution to stop isolated data sources from negatively impacting their marketing capabilities in 2019. By integrating key marketing technologies such as CRM, marketing automation and ABM platforms, marketers can start to share data across these applications and get the complete customer view that they crave.

Rebecca Mahoney, CMO, MiQ

Businesses have a wealth of valuable marketing data available to them, but complications arise when this data remains in siloes pertaining to the different departments within that business. This prevents the data from being complementary, and businesses cannot detect potential weak links or new opportunities. With a holistic view of data, powered by marketing intelligence, campaign performance will drastically improve, and otherwise unidentified business opportunities will become unlocked.

Brian Czarny, CMO, Factual

In 2019, marketers will be faced with the challenge of data implementation. Marketers know how valuable data is, but struggle to make sense of it as they’re faced with the challenge of navigating numerous fragmented platforms and systems to get accurate and quality data. The goal is to gather data from multiple sources that work together to achieve optimum success, but there isn’t one standard way to streamline data. Eventually, unlocking this will give marketers the capability to improve context, relevance, and develop creative that resonates.

Eric Keating, VP Marketing, Zaius

The key is to centralize … data and connect every interaction to a single customer ID. Then you can actually understand how your customer behaves across channels and devices. But even more importantly, that data has to connect to your marketing execution platforms directly, so you actually use those insights to power your marketing.

Marketers need: AI and machine learning

Prasad Chalasani, Chief Scientist, MediaMath

The increase and abundance of data that is available now due to integrated marketing platforms will demonstrate the flaws in various deep learning models. Deep learning models have been shown to be vulnerable to imperceptible perturbations in data, that dupe models into making wrong predictions or classifications. With the growing reliance on large datasets, AI systems will need to guard against such attacks on data, and the savviest advertisers will increasingly look into adversarial ML techniques to train models to be robust against such attacks.

Pini Yakuel, CEO and Founder, Optimove

Marketers are equipped with more consumer data than ever before, which can give them valuable insights into their customer base. Many are eager to use AI to automate and personalize communications, but lack the proper infrastructure and data know-how for AI to work properly. There are countless marketing AI platforms available, but until brands are able to properly segment their datasets and make their data truly work for them, they won’t have the ability to conduct innately intelligent marketing. What does this kind of marketing look like? All the marketer needs to do is set the framework, and the AI takes it from there to create personalized messaging for consumers. In 2019, we can expect to see a push from brands to organize their data within a framework that allows them to hyper-personalize communications.

Patricia Nagle: Senior Vice President, CMO, OpenText

Analytics continue to be a critical way to review the impact of marketing on business objectives. In 2019 the continued adoption of dashboard reporting and analysis systems will improve how we measure marketing programs and tactics. With better understanding of all marketing functions, organizations can take a more strategic approach and focus on what’s performing best. We also believe marketing and customer engagement will be an excellent first use-case for enterprise AI. AI systems can analyse structured and unstructured data to identify opportunities for marketing outreach, customer support, and other actions that enhance overall customer experience.

Jonathan Poston, Director, Tombras

We are collecting and analyzing real time data using AI powered platforms … we are telling the story, giving shape and voice to the billions of data points that would otherwise be a bottomless inkwell of unrealized potential.

Brandon Andersen, Chief Strategist, Ceralytics

Marketing data and insights [will become] cheaper due to marketing AI platforms. It will no longer take big budgets, multiple data vendors, and a team of analysts to get actionable insights.

Marketers need: Data security, consumer trust, privacy

Lloyd Adams, SVP, SAP North America

Data ethics will become more important than data analytics.

Jeremiah Owyang, Jessica Groopman, Jaimy Szymanski & Rebecca Lieb, Kaleido Insights

In 2019, marketers will struggle with the social contract of data exchange between consumers and brands. They’ll wrestle with these questions: How will users be compensated beyond personalization? How can marketers do this without being “creepy”? And, as more biometric data emerges, how can marketers use in an ethical manner?

Augie Ray, Director, Gartner

Making better and more critical decisions about what to collect, how to protect it, how to combine it, and how to use it. The idea of a “360-degree view of the customer” has encouraged brands to collect as much data as possible, but this should never be a goal because it raises risks such as privacy concerns, data breaches, GDPR compliance, and customer distrust. Marketers and customer experience leaders need to focus on prioritizing their data needs, better assessing risks, and developing a data strategy that prioritizes and centers on what data is essential and how it will be used over accumulating more of it.

Penny Wilson, CMO, Hootsuite

The single biggest challenge B2B marketers face in the coming year will be balancing privacy and personalization to regain the trust of their audiences. In many ways, 2018 was a tumultuous year for brands, marketers, and customer experience leaders. Concerns around fake news, fake followers, and data privacy led individuals to question their trust in politicians, media outlets, social networks, and businesses alike. Those same concerns extended to how brands — both B2C and B2B — forge relationships with customers, and the data they use to do so. The priority for B2B marketers in 2019 must be to reassure customers – and their customers’ customers – their data is safe and secure. This has to be achieved in the changing climate of customer expectations. Increasingly customers — be they businesses or individuals — are expecting content that is important, interesting and timely to them. That starts with respecting their privacy, being open and transparent about when and why data is collected, and then leveraging the data that customers are willing to share to create personalized 1:1 experiences that deliver unique value. Going forward, brands must focus less on maximizing reach, and more on generating transparent, quality engagements that add value to their customers.

Mike Herrick, SVP, Urban Airship

The biggest challenge marketers will face in 2019 is activating their first party data and growing its use. Brands are facing a privacy paradox as customers increasingly expect personalized service, but both data regulations and consumer privacy controls whittle away at third-party data and tracking. To remain compliant and provide great customer experiences, brands will increasingly rely on data customers willingly provide in the course of direct interactions across engagement channels–websites, apps, messages, social and in-store interactions and more. The best brands will go beyond gaining opt-ins, subscriptions and followers, and use these interactions to collect context and content preferences for each individual.

Tifenn Dano Kwan, CMO, SAP Ariba

A greater focus needs to be on being data compliant as well as on the ease of leveraging data.

Kedar Deshpande, VP, Zappos

The biggest challenge with marketing data stems from the fact that marketers have so much data available to them today, which they’re able to use to reach customers in a very precise way, yet there’s currently a huge lack of communication between brands and customers as to how and why that data is being used. Without more transparency with customers around why personalized outreach is happening and how it’s benefiting them, the immediate reaction is one of distrust, uncertainty, and even fear or anger. In 2019, brands need to focus on clear messaging that explains to customers why they’re using personalization tactics, how their privacy is protected, and what they stand to gain from it.

Briana Brownell, CEO, PureStrategy

With ad-blockers becoming ubiquitous and privacy concerns reaching a fever pitch, marketers need to rebuild the trust that has been lost with consumers. Some of the most successful marketing campaigns in recent times have been honest and authentic, sometimes to the point of distress: KFC’s apology for running out of chicken and Nike’s partnership with controversial quarterback Colin Kaepernick. The biggest challenge in 2019 and beyond will be to create a new normal between marketers and consumers.

Len Shneyder, VP, SendGrid

May 25, 2019 will mark 1 year since GDPR came into force in the EU. This privacy law sets concrete standards on how EU citizen data has to be treated in addition to strict guidelines on consent. Successful senders will have taken stock of this law and enacted internal processes to ensure compliance with European law.

Ben Plomion, CMO, GumGum

As data protection regulations like GDPR become increasingly prevalent in 2019, marketers will struggle to target customers with individually customized online advertising. The most successful marketers will be those who can deliver individualized experiences, without individual user data. Computer vision and other contextual analysis technologies will be necessary to anonymously align ads with the likeliest potential customers.

Esteban Contreras, Senior Director, Hootsuite

We have more data than ever before in history and that in itself is a challenge. One of the most important problems to overcome is how to effectively handle and leverage data – data engineering, data analysis and data science – with legitimate consumer empathy. We need to consider privacy by design. The ethical use of big and small data is ultimately about creating value (e.g. personalizing and contextualizing experiences) without misleading or dehumanizing anyone.

Marketers need: Less data (or at least, smarter data)

Alyssa Hanson, Intouch Insight

The biggest challenge with marketing data will be having too much of it, specifically for B2C organizations.

Marketers crave access to information, but we’re drowning in a virtual quagmire of data. We want to get granular, digging deeper into every data point, but we’re stuck with analysis paralysis — unable to prioritize actions that will have the greatest impact on our KPIs.

Marketers will need a cutting-edge customer experience platform that recommend strategic actions tied to specific KPIs.

Hillel Fuld, Strategic Advisor

Noise. There is a lot of it and it is increasing exponentially. As data volumes increase, the tools we will need to filter it all and extract the valuable components will have to increase in their abilities accordingly.

Tom Bennet, Head of Analytics, Builtvisible

The sheer volume of data being collected is itself posing a challenge to marketers. As we move into 2019, the ability to separate out meaningful patterns and relevant trends from the vast quantities of background noise will be a real test for many marketing teams.

Neil Callanan, Founder, MeetBrief

Because there’s just more and more data with disparate KPIs coming from different sources, the biggest challenge will be in deciding what to ignore and what to value.

Alicia Ward, Flauk

I predict a big challenge for marketers in 2019 will be remembering to use data as only part of the story and keep an eye on the bigger picture. How many times have any of us been hit with poor targeting because of something else we’ve liked or clicked on? It will be important for marketers to remember that the people they are marketing to are real, complex people who should be considered as more than just a few data points.

Matt Hogan, Head of Customer Success, Intricately

The biggest challenge for marketers is focusing on the data that matters. There is a lot of noise out there and each team member needs to know which data is significant to their success. But, it’s not just about having the data but putting it into context to make strategic revenue-driving business decisions. If you aren’t able to execute on your marketing data, it is useless.

Zachary Weiner, CEO, Emerging Insider

I think the core problem moving into 2019 where marketing data is concerned is that with ever increasing amounts of data, marketers are still looking at each marketing silo individually or in small affiliated clusters as opposed to cross-analyzing insights across the entire marketing, sales and customer service value-chain. Often silo based marketing teams will look individually at social data, demand-gen, PR, sales and customer service rather than studying where they intersect and interact. This has always been faulty and is continuing to be a greater problem as each and every silo continues to yield more data.

Jo Ann Sanders, VP of Product Marketing, Optimizely

The biggest challenge marketers will face in 2019 is getting access to the right data to know definitively what their digital users want. Marketers are drowning in data from various analytics systems that provide a historical view of the past. They then ideate ways to improve based on this past data, spend resources to deploy updates, and then re-measure to see if their ideas worked. This process of guessing at what will improve conversion metrics can take weeks or months.

What marketers are going to have to do going forward to succeed so they can keep pace with rapid innovation is to go beyond analytics data that tells them where they have been and adopt new, agile test and learn practices. This will take the guesswork out of what users want, and better ensure that they are rolling out winning user experiences quickly.

With the proliferation of marketing data the challenge will be how to use the latest tools to narrow 1000 points of data down into the few key quality ones that are needed to improve business operations and to better communicate with your customer.

David Meiselman, CMO, exCater

In many ways, marketing has too much data on its hands. The challenge is to figure out which data helps the most to optimize targeting, messaging, and conversions. Traditionally, marketers would work their way through countless A-B tests to determine what works. Today, machine learning and artificial intelligence is helping us accelerate that process to detect correlations and causal factors to improve marketing outcomes across the board, from which people to target for highest conversion to what message to send when for greatest effect.

Tim Minahan, CMO, Citrix

The problem is, we’ve put too many tools in place to collect and analyze marketing data that are too hard to use and it’s causing a lot of frustration. Marketing professionals are spending way too much time searching for information and clicking through multiple pages in applications to gather the insights they need to design, execute, and measure effective campaigns.

Matt Buder Shapiro, Founder & CMO, MedPilot

For many years we’ve been trying accumulate as much data as possible, and we’re now ironically in a difficult position of potentially having too much data. We need to remember to sit back and discover what is actually happening at different points in time, so that we can figure out how it all fits together. We also can never forget that the most important data point when building attribution is still “Where did you hear about us?”

Marketers need: Many more things

These quotes don’t fit an exact category. But they’re too good to not use.

Jenni Schaub, Strategic Planning Director, DEG Digital

But always still remember, a mountain of data is not a replacement for empathy

Stephanie Smith, Co-Founder and President, MOJO PSG

Thoughtfully exploring and formulating the question you’re actually trying to use data to answer is a key challenge that marketers must face in 2019. Without taking the time to define the problem we’re solving for, we end up wasting a lot of time swimming in seas of data and even potentially misusing the data we uncover. Marketers must also find a balance between using data to inform, rather than dictate, decisions, as the marketing craft will always be a blend of art and science.

Scott Gifis, President of AdRoll Group

Measurement is hard. For SMBs and mid-market companies, it is harder, and the stakes are often higher. Although last click measurement is an archaic way to measure performance and impact, many marketers still rely on it because they don’t see accessible alternatives, as sophisticated tools are often difficult to set up or not flexible enough to work within their data model.. Yet, marketers are hungry for change and searching for a better way to provide visibility and optimize their campaigns. I see 2019 as the year modern marketers stop relying on vanity metrics and outdated measurement models and start looking at what is actually driving sales. Further, marketers need to embrace multi-channel adoption and prioritize creating connected stories across all touchpoints.

Norman Guadagno, Head of Marketing, Carbonite

The biggest challenge for marketers will be navigating the evolution of what marketing is in a post-truth world. In 2019, marketers will need to ask themselves the difference between truth and propaganda.

Summary

Thanks to all the marketers who participated in this research, which was initially for my column in Inc, but grew beyond that.

Clearly, there’s a significant change in marketing data policy coming. Marketers know that it’s not about quantity of data but quality. They also know that insights on next best actions is the thing they need their data to reveal. And they are more than cognizant now that consumer privacy matters, and companies that violate their customers’ and prospects’ trust do get punished, both financially and in reputation.

We have to give the last word to Jolene Rheaulot from The Bid Lab.

She said this, which every marketer should remember:

The biggest challenge with the breadth of marketing data available to a company is to keep the data human.

. . .

. . .

Looking for a platform to unify your marketing data and derive smart insights on how to grow?

Get a demo and see if Singular is for you.

Market share and the exciting future of Singular

I was recently speaking at a mobile marketing conference in San Francisco and saw a competitor’s booth.

In the booth, the competitor showed the relative market share of the various mobile attribution providers. Predictably, theirs was highest. Other players didn’t show very well, and Singular was one of them.

I loved it. Because they don’t understand what we do.

Playing a different game

Mobile Attribution is a very critical piece in a much larger puzzle.

That’s why we acquired an MMP, re-architected it as part of a holistic solution instead of a point solution, and that’s why we are winning over a massive number of tier one customers.

In fact, Singular has more customers, bar none, in the top 100 grossing apps on Android and the top 100 grossing apps on iOS than any of our competitors. 46% of the top 100 grossing iOS apps are Singular customers (and 50% of the top 50) and 46% of the top 100 grossing Android apps are Singular customers (and 50% of the top 50).

That’s because we offer something different.

Something bigger.

Singular is a marketing intelligence platform. Our mission is to provide actionable insights to our customers, the best scientific marketers in the world.

We do that by solving the massive problem of data explosion and fragmentation in the marketing ecosystem across mobile, web, TV, offline, as well as paid, email, push, organic and any other form of marketing. We go beyond the confines of mobile advertising and mobile attribution, and are the only single pane of glass for all your marketing activity.

Every company in the world needs this.

Looking to the future

Today, we unify the biggest spectrum of more than 2,000 marketing technologies. And it’s just the beginning.

To echo Jeff Bezos, it’s day one.

For us what matters is having the best North Star. And that is the top customers. In every market, the top companies are a constant source of envy and imitation by the up-and-comers and smaller companies.

Since our launch in 2014, and up until this very moment of me typing this, these top customers are the strongest source of influence on our roadmap. That, combined with our vision, is helping us move forward.

We’ve got a lot in the kitchen. You’re going to start hearing more about it in January. Our vision is huge, and we’re well capitalized to make it happen.

For our amazing Singular customers, our sole mission is to be a great, innovative partner that will always put you two steps ahead of the competition. Accept nothing but relentless drive to serve, topped with the whipping cream of world-class innovation.

That is what the best do.

And we aim to serve the best.

How LinkedIn, Lyft, Poshmark, and Calm align teams for maximum ROI

In some fantasy world, growth marketers have all the cash, corporate support, creative assets, and analytics they need, and can do their jobs in splendid isolation. In the real world? No marketer is an island, every team is an integrated component of the overall organization, and marketing alignment is a tough challenge.

Which means that kindergarten lessons still apply.

And marketers need to play nice with others … for their own good.

Marketing alignment in fast-growing companies

That’s exactly what we recently discussed with key executives at fast-growing Lyft, LinkedIn, Poshmark, and Calm during our recent UNIFY conference.

Specifically, we asked them how marketers should align internal teams to achieve ROI.

On the panel: Esther Hwang, Director of Growth at Poshmark, Ben Shanken, Director of Product and Growth at Lyft, Jake Bailey, Senior Manager, Digital Marketing and Strategy at LinkedIn, and Dun Wang, VP of Product and Growth at Calm. Fabien-Pierre Nicolas, Head of Marketing at SmartNews, moderated.

Here’s a summary of their insights.

Aligning with executive teams

Aligning with the executive can be challenging. Most CxOs don’t know growth marketing, and they may also have a different time-frame for decision-making than campaign-driven marketers. Achieving marketing alignment requires tight coordination.

“At Calm we have three KPIs,” says Calm VP Dun Wang. “It’s purchase conversion, subscriber engagement, and subscriber renewals, so all of the conversations come back to those three metrics.”

That simplifies conversations, because those three key performance indicators are identical all the way up and all the way down the organization. Every decision can be weighed by how it contributes to at least one, and hopefully multiple of the top KPIs.

At Lyft, with 1,600 employees, alignment requires structural thinking.

“We actually invest a lot in building a structure for how we think, and disseminating that structure across the whole company, so that people can be in line with how we think,” says Ben Shanken, Director of Product and Growth.

But it’s also about investment, and investment carries risk.

And that’s something else to consider at the executive level.

“We think about things in terms of how much risk we want to take in terms of learning,” says Shanken.

Aligning with finance teams

 

Marketing alignment with finance and the CFO matters too. And it’s often not without some history.

“Historically the relationship between finance and marketing has been kind of contentious, because one is the money-spender and one is the money-protector,” says Poshmark Director of Growth Esther Hwang.

That means marketers need to educate finance.

Finance teams typically don’t understand growth activity or marketing, and nuance escapes them. For example, when one channel is killing it, finance might think: invest all your dollars there. Growth marketers, on the other hand, might know that channel, understand its capacity, and understand that there is not enough scale there to withstand doubling or tripling the budget.

But finance often sees things that marketers don’t.

“At the same time the finance team is a really great ally,” says Hwang. “From their vantage point they have a really great way of looking at certain blind spots that the marketing team might have. For example, at Poshmark it was the finance team that pointed out to us the difference in very long LTV for our male users versus our female users … which the growth team, operating much more short-term, weren’t keeping as close an eye on.”

That’s relevant at LinkedIn too:

“From a finance perspective we have to understand the full evolution of a user,” says Jake Bailey, Senior Manager, Digital Marketing and Strategy at LinkedIn. “We have finance partners that are very baked into our everyday engagement.”

Lyft does the same thing: add a finance executive to the marketing and user acquisition group, says Ben Shanken. It’s easier to run the numbers on LTV and budget allocations — and ensure tight feedback loops — when finance has a seat at the table.

Aligning with engineering teams

Science and art. Data and creativity. Marketing and engineering.

Sometimes it seems like marketing and engineering are oil and water. One promises, and the other has to deliver; one builds, and the other has to market. And they don’t always speak the same language.

That’s not the case in the world’s best companies, however.

“We’re fortunate to have very commercially minded engineers,” says Calm’s VP Dun Wang. “They want to know … if they’re going to spend a week working on a feature, how does that affect the user experience and how does that tie back to more revenue for Calm? So we’re super-transparent with that.”

For Poshmark, it’s all about the relationships.

“Our VP of Growth is an ex-engineer … who has a lot of personal relationships [with engineers],” Director Esther Hwang says. “He still makes it a habit to set up unstructured time with engineers … and that’s proven to be very helpful.”

Just one example: Poshmark has set up car pool routes that intentionally mix staff members across departments. In one case, a growth marketer complained to an engineer about the cost of marketing on Facebook. The engineer brainstormed a solution that involved using Facebook social logins as part of the registration flow. It was super-easy to implement, and had a significant benefit.

“That low-hanging fruit improved our registration conversion rate by about five points,” Hwang says.

Lyft engineers collaboration right into standard workflow and employee organization, says Director of Product and Growth Ben Shanken.

“We have a social pod which is an engineer, a data scientist, a program manager, and a marketer,” he says. “We want the engineer to be a channel manager [and] we want the manager to be a marketer.”

The result?

First of all, Lyft has changed the career path of engineers from building technology to making an impact. And secondly, they’ve empowered engineers with ownership of metrics.

Marketing alignment … with other marketing teams

It may sound silly, but marketing does need to align with marketing. Growth marketers have different imperatives, techniques, technologies, and budgets than brand marketers. Performance marketers and user acquisition marketers look at the world differently. Creative teams are not always aligned with marketing managers.

It’s about size.

“As you scale you’re going to run into these more siloed teams in the marketing space,” says LinkedIn’s Jake Bailey. “You have to find a way to bring those together.”

One way LinkedIn has done it is by creating an internal digital agency.

The agency is horizontal, and flows across silos. It leverages what is working in one team with the others, and derives a whole-company number for ROAS (return on ad spend).

“[This] allows us to work together to grow the business as a whole,” Bailey says.

Lyft has a different way of solving a similar problem, and it involves sometimes intentionally building inefficiencies into the system. It sounds paradoxical — or nonsensical — but it’s actually necessary.

“We have huge brand dollars that we do not control,” says Ben Shanken, Lyft’s Director of Product and Growth. “We can try to align our roadmaps … but every time we do that it sort of fails. It all comes down to agreeing on goals … if you do that, then it becomes easier to sequence how we do things.”

One example: brand marketers tend to like the most efficient ways of buying brand: national advertising. But, if you want to be great at measurement, local spend is the way to go.

The solution: sometimes being less efficient at one goal (in this case, brand advertising) to enable long-term efficiencies in another goal (in this case, local performance-oriented advertising).

Aligning with creative teams

Mistakes are great teachers, and Lyft saw this first-hand.

“We did a really bad thing … we gave the marketing team and the creative team a goal to replace all creative within four weeks with winning creative,” says Shanken. “They started cranking out huge amounts of creative, but the downside was they were cutting a lot of corners on analyzing this stuff … and rolling out creatives that weren’t that amazing.”

 

Lyft adjusted team OKRs (objectives and key results) and fixed the problem.

But this isn’t easy, as Calm also learned.

“For us it was really hard to align creative and UA,” says Dun Wang. “[There were] too many opinions on what ads we should launch and why … most of it not founded on data.”

What helped Calm move faster was empowering user acquisition directors to lead creative as well. Each UA team received design resources … and UA managers were given some leeway in marketing.

“We’re not so precious about the brand,” Wang says.

Aligning with BI/Analytics

Growth marketers live and die by the numbers. So it’s no surprise that the best marketers want super-tight relationships with business intelligence and analytics pros.

“Incorporating biz analytics into your process early is the key to success,” says LinkedIn’s Bailey. “Include them early and include them often. For us, they are the core of the team … without them nothing else would exist.”

Lyft’s Ben Shanken agrees:

“Data science is hugely important to each channel for us, especially as we start to automate and build programmatic,” Shanken says. “Because they’re building the models … they are arguably the most important part of the pod. They are the person making the actual model and algorithm working with the engineer and the marketer to translate logic into model.”

The same is true at Poshmark and Calm, where Wang says that data analysts work on every project and with every team.

Summing up

It’s not often that you can get some of the world’s top marketing experts and user acquisition leaders to open up about the core challenges of their jobs. Watch the whole video to get every last detail.

And one more thing:

Go deeper: check out how top marketers use Singular to get the data-driven insights they need to accelerate their growth.