8 reasons why digital marketers need need need granularity (from experts at Kabam, Yelp, Nexon, Postmates, & N3twork)

Pebbles on a rocky beach are granular. The white sugar that we all hate to love is granular. The stars of the Milky Way that smudge together into a glorious sheet of light are, under closer inspection by a powerful telescope, also granular.

And so is the very best of digital and mobile marketing.

Why?

“Granularity sustains profitable scale,” says Singular’s Vice President of Customer Strategy Victor Savath. “Without granularity, you can scale… but it’s hard to monitor quality.”

Granularity is important both cross-channel and within channels, Savath said recently at UNIFY conference, where he interviewed experts from Yelp, Kabam, Postmates, Nexon, and N3twork on the topic. It’s important for creative. Granularity is also important for bids and CPIs. It’s critical to evaluating publishers and sub-publishers. And it’s something that impacts your daily budgets.

But exactly what is granularity?

And what does it achieve for digital marketers?

And … how has the concept of granularity changed with iOS 14.5 and SKAdNetwork?

Granularity in digital marketing can be defined as the ability to dissect big blocky chunks of marketing activity and ad buys to see the smaller building blocks. For example:

  • If your ad campaign is spread over 15 different agencies, you can view each one individually
  • If each agency uses multiple ad networks, you can see how each is performing
  • If each ad network employs different publishers and sub-publishers in your campaign, you can dive into sub-publisher metrics
  • If you’re using varying creatives and forms of targeting, you can see how each performs
  • As users or customers engage, you can see their journey and react personally to their preferences and needs

As you can see in the video from UNIFY, experts from top mobile companies had a lot to say about the concept of granularity. Here are eight things they highlighted:

 

1. Granularity tells you how to maximize channels

Clearly, seeing which ad network or publisher is providing the best results is a good thing. But it’s sometimes even more important to really understand what’s working within a network or publisher.

“Obviously Facebook is the biggest social channel, but Pinterest, which is often overlooked, is an interesting play,” says Yelp’s Head of Performance, Eyal Grundstein.

The key to unlocking performance for Yelp on Pinterest was experimentation… and granularity.

Initial generic campaigns produced generic results, but when Yelp started targeting “odd things” like nail salons, click-through rates jumped 5X. Another finding: tattoos are huge on Pinterest, because people search for tattoos that they’ll consider. Targeting on tattoos and showing tattoos in the ads boosting conversions 10X.

“You can be granular not only in the targeting but also in the copy,” Grundstein says.

 

2. Granularity tells you which publishers are performing

Most ad networks fulfill impressions and conversions for their clients by purchasing inventory from publishers or sub-publishers. When this happens, sometimes advertisers lose the ability to optimize for maximum performance because they either lack the capability or are not looking below the top line campaign numbers to the sub-publisher results.

Hint: some will be rock stars; some will be duds.

“We have a two to three times per week process of pruning out the low performers,” says Eric Seufert, Platform at N3twork. “We kill them at the line-item level if they’re not performing.”

That process does vary from week to week, Seufert says, as publishers change. There’s some natural variance between good, acceptable, and bad, so some level of discretion is warranted. Still, the overall learning remains: advertisers need to be able to probe down to sub-publisher levels to really fine-tune performance.

 

3. Granularity helps you avoid ad fraud

Granularity is table stakes for avoiding fraud, says Grundstein. Impression-level data, for instance, is an absolute must.

It’s also a way to tie the technicalities of adtech to the ground-truth realities of customers, users, and your product. And there’s no better way, says Warren Woodward, Nexon’s Executive Director of User Acquisition, to really see what’s going on.

“Show me this ad in the wild,” Woodward will often ask his ad partners. “It’s amazing how many sources break down when you ask them… where is your traffic? Can you show it to me?”

And, just as source-level data allows you to pinpoint top performers, it also allows you to isolate potential fraud. Especially when you explicitly state your goalposts in the ad insertion order:

“This game that usually has a 90% tutorial completion… if we see a source as over ‘x’ number of installs and [it] deviates from that norm by over 50%… we’re going to consider that incentivized or some other type of fraud,” says Woodward.

 

4. Granularity helps you avoid bidding against yourself for adspace

Granularity on the publisher level helps us to “strategize and understand where not to overbid or bid against yourself,” says Yelp’s Head of Performance, Eyal Grundstein. “For example, if you’re buying on two different DSPs and they’re both buying on Mopub… they will bid up against each other potentially, especially on a particular placement if there is enough volume or if it is relevant enough.”

In other words, the ad space is complex and busy. And if you’re a significant advertiser, you’re probably using anywhere from ten to over a hundred advertising partners, which means you could potentially have campaign collisions.

There’s only one thing less cool than ad fraud, and that’s bidding against yourself.

 

5. Granularity helps you customize to different geographies

Country and regional level data is critical when marketing, says Kabam’s Director of User Acquisition, Andy Park.

“How people consume media across geos is different,” Park says, noting that people in China like to like and comment on ads, particularly on Tiktok, the country’s top video platform. “[One] ad got 37,000 likes and 600 comments in two days.”

Creatives come in many different sizes, shapes, and user experiences, Park says. The key is being able to present different creatives to different audiences, and react appropriately depending on which ones work.

This also enables regional targeting, says Postmates’ Director of User Acquisition Patrick Witham.

“We operate city-level targeting,” Witham says, while noting that there are some limitations with ad network data for geotargeting.

Separating campaigns for different geographies can also make overall campaign analytics more challenging, he added, and does put some limits on scale. However, tighter targeting almost always leads to better results, and “specificity drives conversions.”

 

6. Granularity allows you to “try wild things” and still be successful

Some of the best things you’ll do in marketing are crazy.

At least, at first glance.

“Our approach has been to build tools that allow us to be radically experimental,” says N3twork’s Seufert. “We’re building about 50 videos a week… we deploy them to test and then deploy more universally.”

Some of those videos are going to be incredible. Some are going to be horrible. But by building the engine to enable creativity at scale and fast failure, N3twork is opening itself up to those rare oddball explosions of lightning in a bottle that drive mass conversions.

Nexon’s Woodward agrees.

“Try wild things,” he says. “You want something that’s going to stand out… when you have a completely different experience, it’ll be the biggest winner or a complete loser.”

One example for Nexon was an ad that featured almost no gameplay — an extreme rarity in the mobile game ad world. Instead, it simply showed fans talking about the game. Essentially, it broke every rule… and it was the company’s biggest winner.

“It carried about a quarter of our user acquisition,” says Woodward.

 

7. Granularity helps you avoid poorly performing genres of publishers

Sometimes you want to avoid one publisher in particular. Sometimes, though, you want to avoid an entire genre of publishers.

That’s exactly the scenario that Kabam’s Park found himself in (watch the video for full details… including precisely what he was trying to avoid.

Some things just don’t work for your company, your brand, your product, or your app. And granularity enables you to avoid them.

 

8. Granularity helps you test creative versus creative

Every marketer wants to know which ad units are performing. That’s table stakes… and yet also an example of granularity.

Smart marketers also want to know their conversions from different creative types: banner, text, interstitial, video… and playable ad. You just might be surprised at what you find.

For example, playable ads doubled Nexon’s app installs from one particular source, says Executive Director of User Acquisition Warren Woodward.

“Now we’re making as many playables as possible,” Woodward says. “If you’re not games, think about other ways you can make interactive ad units. The rest of us are… you won’t be in the game if you’re not.”

 

But what about iOS 14.5 and SKAdNetwork?

Old-school mobile marketing relied on granular device-level data to get detailed data on impressions, clicks, installs, and post-install activity, and on iOS that is no longer all relevant. (For now Android is business as usual.) On devices running iOS 14.5 and later (which is now almost all devices) you can only get that level of data if people opt in to tracking … which you can only know after they install your app.

For that reason — and the fact that 75-85% of people are not allowing tracking via the App Tracking Transparency pop-up — your best source of data arrives via Apple’s SKAdNetwork data.

The good news for mobile marketers: it’s deterministic.

The bad news: it’s incomplete by design, it arrives at variable times, it’s adopted with different practices and policies across different ad networks, and it’s explicitly not device level in order to be privacy-safe.

This doesn’t mean marketing optimization on iOS is over. It does mean that mobile growth marketers need to use new ways of measuring advertising and marketing success and learn to be comfortable with a certain missing layer of granularity. However, using Singular SKAN, marketers can still get good, usable, reliable data on which to base marketing optimization tactics.

 

Summing up

Granularity isn’t just a nice-to-have. It’s an incredibly useful attribute for marketers who want to scale profitably.

The good thing: it’s easy to get on Android.

The challenge: you have to work for it — and earn it — on iOS, and in some cases, you simply can’t get it.

Dig deeper: See how the best growth marketers succeed.

Tracking and optimizing mobile app installs: The newcomer’s guide to mobile app attribution

How do you measure mobile app marketing?

Mobile is now the default way we consume information. We’re spending an average of 4.3 hours a day on our smartphones, and that means we’re installing apps to access the information, services, messaging, products, and tools we need. That also means even now, a full 12 years after the launch of the first modern mobile app store, thousands of new apps are launched every single day on Google Play and the iOS App Store, joining the more than five million apps already published.

That means new games. New stores. New travel services (yes, someday we’ll be traveling again!). New on-demand services. And much, much more.

It also means a lot of competition. And that means publishers of mobile apps need what we used to call mobile app tracking, and now call mobile attribution, to understand and optimize the results of their mobile marketing campaigns.

The first thing you’ll want to know is that mobile attribution, or mobile app tracking, is very different than web-based marketing attribution. Because web marketers are adding mobile marketing skills to their toolsets, there are always smart, strategic marketers who need an introduction to mobile measurement. One of the key differences: while web attribution relies on cookies and pixel tags, mobile app attribution for Android and iOS apps works very differently.

This post is designed to help you if you’re new to mobile attribution and mobile app marketing to understand how mobile app attribution works, and how it differs from other forms of digital attribution.

——————————————————
See Singular’s mobile app attribution solution
——————————————————

Quick summary: You’re not in Kansas anymore!

Sophisticated data-centric app marketers use third-party mobile device app attribution systems for mobile app tracking, or mobile attribution. They are looking to track and attribute installs and remarketing events like re-engagements, just like web-based marketers might use an ad server like DoubleClick to track and attribute display ad campaigns on the desktop web.

Because Singular focuses on Android and iPhone app tracking or attribution for enterprise marketers, I’ll confine this explanation for how large app publishers get the breadth and depth of information necessary for attribution and campaign optimization at scale.

Web-Based Tracking Versus Mobile App Tracking

If you’ve been active in digital marketing for at least a few years, you’re familiar with both third-party cookies and pixel tags, and how they are used for marketing attribution. Third-party cookies are used by ad servers to anonymously identify users across a variety of touchpoints.

When a user’s browser requests a web page that will contain an advertiser’s promotional creative, the server places a cookie on their device and assigns it a unique user ID. When the user’s browser requests other pages containing ads from the advertiser, the cookie on the device delivers the unique ID to the server, so that the various ad views can be associated to the same user. And, when a purchase or sign-up or other conversion event happens, you can attribute the result to the ad campaign.

In this way, a third-party cookie is designed to associate all of a user’s exposure and actions in that browser to one ID. When a user converts, the completion action is tied back to specific marketing activity through the cookie ID.

Cookies are the go-to technology for most web tracking, but they have serious shortcomings because:

  • Many consumers clear their cookies or set their browsers to block them
  • Most cookies expire — often 28 or 30 days after they are initially placed
  • In addition, many people use multiple browser instances, like one on a home and another on a work PC (plus their mobile phone too)
  • A cookie ID by itself can only track a user’s activity within one browser instance
  • Modern web browsers already deny third-party cookies (Safari, Firefox) or will soon do so (Chrome)

Mobile app attribution (or mobile app tracking)

Many web marketers who transition to the app industry assume that cookies and pixel tags will also play a central role in these mobile analytics use cases. But cookies are problematic in mobile: they don’t work in apps.

Both Google and Apple have deliberately designed their respective iOS and Android device app ecosystems to limit tracking with cookies. So if you want accurate information for attribution and optimization, you need an entirely different system.

That includes brand and performance mobile marketing in apps, and it specifically includes mobile marketing designed to increase app installs or downloads.

App downloads, app installs, and attribution

When a user installs a mobile application, they must first download the software. Once downloaded, it is installed on the device automatically. But an install can only be counted — and can only be confirmed and attributed — at the moment of first launch.

Think of all this as a multistep process:

  1. A user clicks an ad
  2. They visit the app’s page in the appropriate app store
  3. They click to download the app in the app store
  4. The app automatically installs on the device
  5. The user then opens the app for the first time

An iOS or Android install can be counted only after step five is completed. Thus, when advertisers refer to installs, what they really mean are apps that are installed AND THEN used once. This might sound like a pedantic nuance, but it’s important to understand this to get the full value from the rest of this post.

This additional step adds further complexity to an already complex and opaque system.

——————————————————
Get a personal demo of Singular’s mobile attribution tools
——————————————————

Let’s dig a little deeper into the steps and the way that desirable consumer actions like installs can be attributed to specific marketing activity. To do that, we need to draw some distinctions between the processes for Android and iOS, the two dominant operating systems. For both operating systems, the key task is to connect activity that occurs post-app-store with marketing activity that drove the visit to the app store. But beyond that basic similarity, there are some significant differences.

Google Play versus the iOS App Store

There are some process differences between iOS and Android app tracking that require explanation.

First, there is no measurement standard common across both systems. Google Play has been designed to enable a limited amount of tracking through Google’s sister product, Google Analytics. Google offers an SDK, or software development kit, which enables a referrer url and parameter to be passed to Google Analytics when a user clicks on an ad. If the user installs, the marketing activity can be easily credited. Using the referral parameter, you can track back all post-install activity to the referral source.

WIth Apple, things are a little more complicated. The App Store does not permit activity tracking within its walled garden. To connect specific installs to the marketing activity that drove them, you need a separate measurement solution that can trace the device ID to specific marketing activity.

Enter third-party mobile attribution, or mobile app tracking

Brands, of course, want to trace desirable marketing outcomes to the marketing activity that drove them. Third-party mobile attribution, or app tracking, like that offered as part of the Singular Unified Analytics solution, makes it possible to connect paid installs across Android and iOS back to the marketing programs that drove them.

To overcome the measurement issues discussed above — the multi-state app install process — most third-party mobile app tracking is delivered using a small piece of software called an SDK that is installed within the publisher’s app.

The SDK (Software Development Kit) connects the marketing activity to the desirable action like an install by matching the device advertising ID, which is a semi-permanent device identifier specifically developed to enable advertisers to measure marketing effectiveness.

There are two leading device IDs you will hear about a lot.

IDFA

For iOS (Apple) devices, the ID is called the device identifier for advertisers, or the IDFA. IDFAs help an advertiser identify the specific phone where the ad action takes place. The Apple IDFA doesn’t change unless a user decides to change it in their phone settings. Few consumers feel a need to take this action, so IDFAs can offer a great foundation for a persistent and anonymized consumer profile.

Apple introduced IDFA to offer consumers a choice when it comes to interest-based advertising and tracking. IDFA is the only ID that Apple allows advertisers to use to understand the advertising actions on its phones, replacing the Universal Device ID, or UDID.

Note that as of iOS 14, the IDFA is going opt-in on a per-app basis, which means that it will be less available for mobile app attribution. Apple is providing the SKAdNetwork framework for privacy-safe attribution. Singular was the first mobile measurement company to declare support for SKAdNetwork, and has the leading solution for powerful mobile marketing measurement with SKAdNetwork.

Google Advertising ID (GAID)

The Android or Google equivalent to the IDFA is called a Google Advertising ID or GAID. It was previously referred to as the Android Advertising ID. These IDs share critical characteristics with IDFAs, in that they are persistent unless or until the user decides to change them. Before the Google Advertising ID, advertisers could track actions on Android phones using a device identifier called Android ID (or ANDI.) Users have the option to opt out of Android Advertising ID tracking, or to change their ID periodically.

That said, few consumers feel the need to take such action.

With most mobile app tracking, these advertising IDs are the means through which pre-app-store activity like ad clicks are connected to post-app-store activity like first launches.

Sometimes, though, it is not possible to link ad activity to an install with a device advertising ID.

This can be because the consumer has changed their advertising settings by choosing to Limit Ad Tracking on their device (iOS), or turn off ads personalization (Android). In those situations, a second attribution method called fingerprinting was historically deployed. Fingerprinting uses other signals to match marketing activity to an install. Such signals are collected by using non-personally identifiable information like IP addresses to infer a connection between an ad click and an install. The accuracy of matching through fingerprinting varies based on the signals available and utilized by the attribution provider, but such matching can often approach the level of accuracy available by matching device IDs.

Note that as of iOS 14.5, Apple does not allow the use of  fingerprinting.

Attributing credit for an install

Advertisers want to know if their paid marketing programs are driving desirable customer actions like installs. Not every install, after all, is driven by advertising. Some installs will occur naturally, without advertising. Others will occur after a user clicks (or views) an ad. By connecting installs and ad clicks to the same device ID, you can identify which of your installs were driven by marketing activity.

But advertisers want to know more than just whether an install was driven by paid marketing.

They also want to know which programs, partners, and creatives were responsible for the install. When a user clicks only one ad prior to an install, it is very straightforward to connect that install to a specific campaign, media vendor, and execution.

But many installs occur after a user has taken multiple ad actions. For those instances, attribution providers play a critical role in pinpointing which marketing program and partner was ultimately responsible.

To attribute credit, attribution providers usually leverage last-click attribution, which attributes 100% of the credit for an install to the last partner that drove a click. Think of it as an assumption that the last click is the one that got the user to install.

Last-click attribution is the generally accepted model for attribution even though most people in the industry recognize that it has some shortcomings. It’s almost certain, for example, that clicks other than the last click prior to an install deserve some of the credit for that install. That said, last-click is viewed as the best available option given the complex measurement dynamics. And, in iOS 14 with SKAdNetwork, last-click attribution will literally be the only option for most devices.

One key issue is that many of the largest vendors are “self-attributing” ad networks. In fact, self-attributing networks make up 80% or more of ad spend across the industry.

Here’s how a third-party attribution provider can capture necessary information from a self-attributing network.

A self-attributing network must be queried after an install has occurred to determine whether they drove an ad click. By contrast, most partners automatically report all ad clicks immediately after they occur. Here is a simplified version of the steps for querying a self-attributing partner:

  • The attribution provider captures the device ID when a user first launches a new app
  • The attribution platform queries all self-attributing partners, asking whether the device ID was influenced by marketing activity on their platforms
  • Any self-attributing partner responds by telling the attribution provider about the last click that occurred in their networks for a given app’s advertising, and when it occurred
  • The attribution provider compares the timestamps from those self-attributing networks to the timing of installs recorded by other partners
  • The most recent click prior to an install is credited with the install
  • Since self-attributing networks do not report every click — only the most recent one, there would be no way to attribute installs using a method other than last-click

All partners accept last-click attribution as the accepted attribution method.

Third-party attribution tools for mobile app tracking

Without a third-party attribution platform, it would be impossible for marketers to understand which program and partner drove an install. Further, attribution partners ensure that an install is credited only once. This is so that an app publisher doesn’t double-pay or triple-pay multiple vendors for the same install.

To properly credit every paid install to a marketing program, your attribution provider must have visibility into activity across all your media partners. While many media partners will integrate with any attribution provider, some strictly limit such integrations to a small number of partners.

——————————————————
Attribution on iOS is changing. Find out more here …
——————————————————

Facebook, for example, limits access to attribution information, including timestamps, to a handful of companies that they have identified as high quality partners that adhere to stringent data and privacy regulations. Since Facebook often represents 20% to 40% of an advertiser’s spend, visibility into this leading platform is a critical component of a robust attribution offering.

These partners are called Facebook Mobile Measurement Partners, or MMPs.

Similarly, other self-attributing networks choose a select set of partners for attribution. Singular is very proud to offer its clients universal visibility into all of their app media providers, including Facebook, Google, Apple, Snap, Twitter, Pinterest, and more.

In addition to tracking installs, attribution providers also track post-install events like registrations, purchases, and the like. These can also be tracked back to the last-click media partner.

Re-engagement tracking

Marketers are increasingly investing time and ad spend to drive desirable consumer actions other than installs. For example, many brands now use advertising to drive incremental purchases or to get cart abandoners to return and purchase items that they added to a shopping cart but did not immediately buy.

Mobile app attribution or tracking providers can also be used to track in-app actions like purchases to the media partner that drove them.

Mobile app attribution or tracking without an SDK

Some brands do not want or permit the addition of SDKs into their apps. For these companies, server-to-server-based mobile app tracking offers a viable measurement alternative. In such cases, mobile app attribution tasks are still executed by the attribution provider, but the transmission of information becomes the responsibility of the advertiser.

Server to server integrations are fairly uncommon. For Singular, SDK-based attribution accounts for more than 70% of our client business.

View-through attribution

An increasing number of advertisers are now measuring view-through attribution when no clicks precede an install. View-through identifies the media partner or campaign that displayed an ad to the user, even if there were no clicks. View-through measurement is generally only used when no click precedes the install.

Get in touch with Singular to learn more about our attribution services and our unified mobile analytics platform.

What Advertisers Should Keep in Mind During COVID-19

In good times, I’m usually more cautious than most. I’m the person who takes shoes off before walking through the house, goes straight to wash my hands, opens windows while cooking, and uses “gentle” detergents and cleansers.

Needless to say—we’ve all been compelled to take things up many notches due to COVID-19.

As more teams and groups work remotely and gather screenshots and recordings of video conference galleries, one thing stands out—we’re coming together, like never before, to support each other through an unprecedented moment in modern history. 

As Singular data has shown, some industries are preparing for slowed business. Others are ramping up marketing activity as we all stay at home with new distractions and needs.

Thriving industries: bringing relief in a stressful time

As we previously reported, gaming has seen a 25% jump in ad spend since the outbreak of COVID-19. To quote Singular’s top executive in China, gaming companies “are reaching their revenue peak … because everybody is just playing games.”

And, with much of the country sheltered in place, food delivery has become the current norm, with some predicting the behaviors may stick. 

These are just a couple of the examples we’ve shared of how COVID-19 is upending industries. Here, we provide guidance for digital advertisers working hard to meet heightened demand, as well as those who must plan in terms of “long haul.”

Recommendation for Gaming: continuously test new ad networks

To stay competitive, gaming advertisers should make sure they’re constantly testing new ad networks to understand which ones are generating the best ROI. (Tip: read Singular’s 2020 ROI Index to see which ad networks are bringing in the best ROI for our customers.)

Also, based on research from VentureBeat, we know that successful mobile marketers use more media sources: 78% with average LTV use five or less media sources, but 65% of mobile marketers with high LTV use six or more.

In short: bump up your media sources!

Another thing gaming advertisers should do: continue to boost ad spend, and test what’s working to allocate budget in the right places and maximize impact. As the potential user base increases so does the opportunity to fine-tune ad campaigns.

Considering creative optimization? Now’s the time to get granular with your testing framework.

Guidance for Retail: rise to the moment and brand accordingly

Think creatively: videoconferencing as “the current normal”

As video conferencing platforms like Zoom hit record usage highs, other brands are quickly pivoting to keep their brands interesting and relevant. For example, West Elm just rolled out new Zoom backdrops to highlight their offerings. 

covid-19
Source: West Elm

Provide offers and discounts

Macy’s is offering deals usually reserved for its loyalty members. Inviting shoppers to “Relax, recharge, and WFH,” they’re featuring free shipping on purchases of $25 or more or $25 of beauty products. 

Featuring prominent links to gift cards is another way to shore up activity and entice people to stay connected to your brand.  

Guidance for On-demand & Marketplaces: hyper-localized strategies win

Order online, drop off at home

On-demand and marketplace brands can meet consumers where they’re at by offering discounts, communicating their enhanced sanitization and safety procedures, and making sure their inventories are kept up to date.

For example, San Francisco organic food distributor Good Eggs has provided customers with accurate estimates of food delivery and sends periodic text updates when drivers are en route. 

Like other mobile food delivery services, they’ve placed their offerings front and center on their website and tweaked their messaging for increased demand because of COVID-19.

covid-19
Source: Good Eggs

Use data to identify opportunities

To reach the right audiences in the right way, it’s important for on-demand advertisers to implement hyper-localized strategies and relevant creatives.  

During COVID-19, people are showing a heightened level of intent—they’re going online to find exactly what services and products they want. 

Use this information to optimize your creative, and deliver relevant content and experiences that match the behaviors of a changing online audience.

For example, Postmates—a Singular client that uses couriers to deliver local food, groceries, and alcohol—uses hyper-localization to test various creatives tailored to a location or food. You can deep dish anywhere, but where is it prominently known? Chicago! 

Postmates was able to significantly increase click-throughs, conversions, and first-time purchases by calling out “Chicago” and popular Chicago pizzerias. Use the same strategy to highlight products people are focusing on as they stay at home.

With our creative analytics capabilities, Singular allows you to see all your ad assets, including images and videos, side by side with their respective performance metrics. You can then use these insights to refine your hyper-targeting strategies.

Make use of robust channels and ad formats

Social media: the answer to social distancing

People are finding ways to connect with the ones they love and live near—whether it’s singing on balconies, doing across-the-street workouts, or organizing drive-by birthday celebrations.

If you’ve held off on boosting your social ad campaigns, try testing carousel ads versus static versus video. Or create a sense of community with your brand through a virtual event like a message from someone in the C-suite, or offering something from your brand to help people cope with the anxieties of the current moment.

Some are using Facebook Live for DJ sets. Others are doing things like looking out for parents now homeschooling their children.

For example, The Cincinnati Zoo has started a Facebook Live series with their local celebrity, Fiona the Hippo. We’ve most likely all seen examples of businesses, groups, and organizations welcoming users through their virtual doors with similar incentives.

Plan now for future spikes in performance

There’s no doubt that some sectors have been greatly affected by the coronavirus. The good news is that measures are being taken around the globe to slow the spread of the virus and achieve zero new domestic cases, as China has done. Scientists race to find a vaccine.

In short, life will eventually return to normal. We’ll be in gyms again and crank our investments back up.

Advertisers in spaces negatively impacted by COVID-19 need to stay aware of rapid shifts in the advertising landscape. It took two months for China to reign in the virus. Although other countries vary in their response, advertisers should plan for the future by keeping close track of what’s being done in their region to “flatten the curve.”

Use the latest data insights to inform your decision making

In this rapidly changing environment, a single source of truth for marketing performance is not a nice-to-have—it’s critical for fast, adaptive decision making. 

To keep pace with quickly shifting advertising tides and know the exact impact of their ad spend and ROI, marketers need centralized, easily accessible, actionable data.

Singular can help. Try us free for 30 days to learn how to use marketing data insights for maximum performance. No code required.

Our best days are ahead

“The future is uncertain… but this uncertainty is at the very heart of human creativity.”
— Ilya Prigogine

In these uncertain times, it helps to recall that some of humankind’s greatest work followed difficult events. We hope that everyone’s finding avenues of solace and relief as we await the next great work—finding effective ways to combat this global pandemic.  

We’ll continue to provide advice and information on how to ride the current tides of digital advertising. Stay safe and be well.

Ditched the spreadsheets, but still stuck manually uploading cost data?

Out of necessity, app marketers have become comfortable with copying and pasting total cost data from partner dashboards or reports into their own master marketing spreadsheet. 

That’s a lot of annoying work.

Five years ago, Singular set out to solve the problem of cost aggregation. Since then, we’ve mastered the art and science of data analytics. We provide app marketers with an automated, streamlined process to accurately and reliably collect spend data so they can optimize their marketing campaigns in the moment and boost ROI. 

cost data - data analytics - cost aggregation

Now more than ever, having complete, accurate, timely marketing ad spend reporting is just as important, if not more so, than counting installs. Despite this and record programmatic adoption, there are still many out there who haven’t bought into a marketing analytics platform that provides this efficiency, for one or more reasons: 

  1. They’re only running on ad networks like Facebook, Google, or Twitter (which use their own attribution and billing despite third-party MMPs ruling on attribution).
  2. They don’t think they run ad campaigns with enough partners in order to justify the cost of a solution to automatically collect their marketing cost data from all their partners.
  3. Their current attribution provider offers a solution that may seem faster than making sense of cost data in a spreadsheet, but “cost ingestion” still requires manually uploading error-prone data.

Complete costs: the full picture

First, the basics. What can you do—or not do—with complete cost data on a daily basis? 

For instance, how do you know where you’re pacing? Can you spend more today? What are your effective cost per install rates? What does the ROAS look like? 

Now, if uploading an email report is on your to-do list for today, then you’re a few steps behind those managers nailing these questions right after their morning coffee.

That’s where an automated platform like Singular comes in. We automatically collect your marketing costs, saving you time, headaches, and the possibility of errors in your data. 

How fast is “fast”?

Let’s walk through each scenario of working with a handful of media partners, to provide a clear view of just how fast and efficient we’re talking. 

Scenario #1: the manual spreadsheet report

Here’s the reality of working with even just five media sources and doing manual reporting for each network in a spreadsheet.

Spreadsheet example:

  1. Start my computer and auto-login to each partner dashboards (2 minutes)
  2. Find my Excel spreadsheet and open it (1 minute)
  3. Download reports from my reporting tool and paste them into Excel (5 minutes)
  4. Copy and paste ad spend data (source-level only) from each partner dashboard (2 minutes)
  5. Allow my Excel macros to update or copy and paste a formula down many rows of data to calculate ROI (1 minute)

Total time: 11 minutes

Scenario #2: the cost ingestion tool into your attribution provider

  1. Start my computer and auto-login to each partner dashboard (2 minutes)
  2. Download reports from each ad network (5 minutes)
  3. Format each report as required (5 minutes)
  4. Upload individual reports from each network (5 minutes)
  5. Wait for my uploaded reports to get processed or troubleshoot any errors (15 minutes minimum)

Total time: 32 minutes

So the bottom (ROI) line…

Neither of these scenarios is helping you make fast decisions. 

How Singular can help

What’s the easiest way to save time, bring in more revenue, improve ROI, and make better, faster marketing decisions? We recommend finding a provider who:

  • Has years of experience collecting cost exactly as the media sources display it within their systems
  • Can work with your existing attribution provider to pull in the results from your marketing campaigns
  • Can then connect this to your spend data and report your ROI whenever you need it 

Singular has a tried-and-true process for automating the collection of ad spend that can save app marketers 15 hours+ a week on average, which is why we’ve become the de facto solution for teams scaling their growth. Go ahead, try us for free today.

Ad monetization webinar: How to align your monetization and user acquisition teams to acquire better users

Ad monetization is growing fast. But traditionally, user acquisition teams don’t see ad revenue and can’t account for it when calculating return on ad spend (ROAS). That means they make sub-optimal user acquisitions decisions with inadequate information.

How do you fix the problem?

Align your user acquisition and admon teams.

Of course, that’s easy to say, but it leaves plenty of open questions. How do you calculate ad monetization revenue, for instance? How do you know which users are more valuable than others? And how do you merge in-app purchase revenue with ad revenue to obtain a blended real number for total revenue? What is your true ROAS?

Aligning Ad Monetization and Acquisition

The short answer?

We’ve had Singular’s Director of Customer Success, Liz Lauer-Lopez, and Ironsource’s VP of Growth, Yevgeny Peres on the call to work through three steps that will help you align ad monetization and user acquisition. The result: you’ll acquire more users that generate higher ROI and revenue.

Liz and Yevgeny will talk about:

  1. Measuring user revenue behavior for IAPs and ads together
  2. Attributing user revenue across all channels and combining it with cost data
  3. Taking action based on data

Add it all up, and you’ll be able to predict true LTV with all revenue accounted for. And that will help you analyze and optimize your user acquisition marketing much more effectively.

Even if you can’t make it tomorrow, that will ensure that we’ll send you a full version of the webinar later, which you can watch at your leisure. And, if you’re seeing this days or weeks after the webinar occurred, you’ll still get a copy to consume.

ad monetization webinar
One slide from the webinar

Data-driven creative: 13 sometimes contradictory secrets from Supercell, Earnin, & Vungle

How do you do data-driven creative optimization for digital advertising campaigns? Should you do data-driven creative optimization? Should you localize creative? And, should you always follow the data?

It’s not always obvious.

And, just to make it more confusing, top experts at leading mobile brands don’t always agree.

While there are commonalities between how leading mobile experts approach these questions, there’s also considerable diversity. That diversity is often tied to companies’ different strategy and tactics. It’s also a function of short versus long-term goals. It depends on how digital marketers do data-driven marketing in general.

And, this diversity suggests that there is not one true answer for your company and your brand either … but that you’re going to have to make an informed decision for yourself on how to proceed with data-driven creative optimization.

unify-panel-data-driven-creative

So while top mobile experts don’t always agree, what they say and how they disagree can help you formulate a customized data-driven creative strategy that works for your brand.

Here are the top 10 secrets we learned from marketing strategy experts at Supercell, Earnin, and Vungle at Singular’s big UNIFY mobile marketing conference.

(You can also watch the full presentation here … and get all of the UNIFY sessions in our free UNIFY @ Home mobile marketing masterclass.)

1. Testing matters (a lot) for data-driven creative

It’s probably not a shock to most people that testing matters when you’re trying to do creative optimization.

“Test everything,” says Earnin’s Director of User Acquisition Vanessa Chang. “Not just your in-house creative but your buttons, your copy, everything that can help impact your creative.”

Why do people test? It’s simple, says Supercell’s Emily Tierney:

“The best creative yields the best performance metrics.”

This is especially important when you scale data-driven marketing. (It’s also harder … which is why Singular’s Creative Analytics tool comes in handy for high-volume digital marketers.)

“When you scale and have a ton of volume, it gets more important to iterate quickly and you need to evaluate your results quickly as well,” Chang says. “What Singular has really allowed us to do is it answered questions we weren’t able to answer without the platform.”

2. Creative exhaustion is over-rated (sometimes)

Creative exhaustion is almost an item of faith for modern digital marketers. But sometimes it’s over-rated, as Singular CEO Gadi Eliashiv discovered in a data-driven creative exhaustion study he recently published.

For Supercell, there are higher priorities than optimizing for creative exhaustion or even individual ad performance.

“Optimizing for brand [is] very important for us,” Tierney says. “It’s more important to elevate our company so that people recognize Supercell as a global brand, so that when we create new IP, people immediately associate that it will be high-quality games with high-quality animations.”

brawl-stars-supercell

As a result, Supercell invested nine months in building one piece of creative … a 60-second long cinematic that is essentially a fully animated world-class 3D movie.

The result, “No Time To Explain,” brought in the lion’s share of new users for Brawl Stars with very low CPI, Tierney says. It had both long view time on both Facebook and Google and active engagement, and is still being used for user acquisition more than six months after launch.

Consumer behavior, clearly, does not always require new creative assets and new creative strategies.

3. And yet … creative exhaustion exists

On the other hand, marketers know that for many brands and campaigns, creative exhaustion is a very real thing. Digital marketing assets don’t last forever. Advertising ages.

“Ad fatigue is real,” says Vungle’s Global Head of Creative Labs Gavin McNicholl.”Our clients want to do testing … it’s expected in the space now.”

That’s something that Earnin sees as well, particularly when scaling spend. And it forces EarnIn to scale creative production as well.

Does this creative exhaust you?

“The more we were spending money, especially in the same channels, the more we needed to keep up the rotation and keep feeding the channels to find new winners,” Chang says. “We needed more message types, more actors.”

Even Supercell, which Tierney calls “lucky” for having some evergreen creative that she can run for a long time, sees decay.

“They do decay over time,” she said about her creative. “It’s not like we can run it for six years.”

The goal, according to Vungle is to keep looking for new evergreen creative while running iterations. The company’s algorithm, therefore, allocates a certain percentage of impressions for new units to try to find that new evergreen material.

4. Data-driven creative: Localization is not ALWAYS required

Localization is religion to marketers burned by stories of brands releasing culturally inappropriate messaging or products in different cultures. Often that even extends to different ad creatives and marketing campaigns by audience segment.

Supercell pays attention to culture, but it doesn’t focus on building geo-focused campaigns or creative.

Instead, Supercell goes for the universal in its creative process:

“We really believe in one true global creative,” says Tierney. “When we launch any new games, we really try to generate creative that resonates with all our communities and all regions, and it’s quite challenging. As you know, western creative sometimes doesn’t translate well to the east. Our games are games that people will play forever, and our creative is creative that people will remember forever.”

That may not work for every brand or every app. Advertising in general should focus on being relevant to its audience.

But Supercell is clearly doing something right … on a global scale.

5. BUT … localization is OFTEN required

As GM and its creative agencies found out when naming a car “Nova,” or “no go” in Spanish, not every name works in every culture. Similarly, not every image works for every culture.

When Vungle was working to localize Sherlock Holmes, the British actor Benedict Cumberbatch and the American actor Robert Downey Jr made perfect sense, although it’s possible they could have found one star to cover both countries.

But Japan … Japan was another story.

Suffice it to say: the creative process was entirely different.

sherlock-holmes-different-cultures

Now that’s localization with an added dose of gender-switching.

But you can go farther and do hyper-localization based on seasonal events, Vungle’s McNichol added.

Chinese New Year is a very significant revenue period for us, so we’ve looked to scale out specific kinds of end cards that incorporate cultural elements,” he said. “So for Chinese New Year you have the red envelope — obviously, the connotations around that [are that] good things are coming your way. It was no surprise that clickthrough rates went through the roof there.”

6. Data-driven creative: Shockingly, data is incredibly important

It shouldn’t be surprising: data matters.

That’s not just the case on upper funnel. Lower funnel is probably even more important.

“When you scale and have a ton of volume, it gets more important to iterate quickly and you need to evaluate your results quickly as well,” says Earnin’s Chang. “What Singular has really allowed us to do is it answered questions we weren’t able to answer without the platform.”

By leveraging community as well as in-house creatives, Earnin was able to build 5X more creative concepts. Now, 50% of their ad impressions originate from community-sourced ads. And that’s resulted in a 25% funnel step improvement. Data drives actionable insights which can be fed into future creative thinking and marketing efforts.

Ultimately, Vungle looks at three kinds of data, says McNichol: performance, contextual, and user data:

How Vungle analyzes data-driven creative performance
How Vungle analyzes data-driven creative performance

Performance data includes installs, conversions, and retention. Contextual data includes geographical location, time, and placement. User behavior is engagement, duration, and interaction points, as measured by heat mapping and lab testing.

Also important: target audience and some understanding of the customer journey.

7. But being purely data-driven could be the wrong approach

It’s not controversial to be data driven, and to be evaluating results for your data-driven creative. It would be controversial, on the other hand, if a digital marketer said that they’re not data driven.

Supercell has an interesting nuance on this.

“This is a philosophy we use a lot in Supercell: to become a data-informed marketing team instead of data-driven,” says Tierney. “It actually means optimizing for the brand, for the IP, for the company.”

That’s worth unpacking.

Supercell cares about data and performance of their ads and campaigns, but not the overall brand matters more than any given ad. And it matters more than individual campaign performance..

That’s why the first second of  every Supercell video is alway the Supercell logo. Supercell knows that the first five seconds of every video is the most important, and that they’re sacrificing 20% of that attention-grabbing time.

But they’re betting that positive long-term association with the Supercell brand outweighs individual ad performance. That’s data-informed — and you could argue data-driven on the macro level.

8. Your mobile ads CAN work on TV

You have to build creative assets uniquely for each platform or medium, right? Such as social media ads versus search ads, and mobile ads versus traditional TV ads?

Well … not necessarily, according to data-driven marketing experts. At least in the case of repurposing mobile ads to traditional and streaming TV platforms.

“As we scaled in streaming TV and linear TV, a lot of people were telling us that we should use very branded versions of creatives that were more for TV,” Earnin’s Chang says. “And I would challenge that because I think we have seen a lot of success in using our community-generated ads across many different platforms. It’s not necessarily about the format or the placement, I think it’s really about assessing how you want your message to go in all your different channels.”

That means that you actually can use a “low-quality” portrait creative on TV, she added. You just have to be aware of delivering that in a way that makes sense to the audience.

That’s a role reversal, Vungle’s McNichol says.

When Vungle first started building ads for mobile, they’d get a lot of executive asking them to run TV ads on mobile ad networks … something that doesn’t really work. (Especially back then.)

“What’s very interesting is the idea of the visual language of mobile and web finding its way onto TV,” says McNichol.

9. Your customers can make your ads

We’re not in the dawn of user-generated content any more. But there still aren’t many CMOs who are jumping up and down agitating for their customers to make their ads.

It make a ton of sense, however, if you don’t have enough time to produce a wide enough variety of creative. Just maybe, your community can help.

earnin-data-driven-creative-community

“We focus a lot of our efforts on using creative generated by our community,” says Chang. “This is really at the core of what we believe is one of our biggest differentiators as a financial tech brand … we have a real community supporting us.”

10. UA and creative need to be In Sync

User acquisition and the creative team need to be completely in sync … and co-location helps.

“We’re very aligned with our creative team,” says Chang. “First, we sit next to them so that makes it easy to share insights. And second, we actually have a weekly creative performance review where we share insights.”

Easy access to the same numbers doesn’t hurt either.

All creative producers at Earnin are well versed in the company’s dashboards — and Singular data — so they can check whenever they want on what’s performing well, what has high click-through rate, conversion rate, and so on.

11. Data-driven creative: Make playables MORE interactive

Playables are the highest-performing creative on the Vungle Ad Network, McNichol said. But by analyzing three million views of one particular playable ad, they learned how to make them better.

One hint: add more interactive elements.

“Always give the user something to interact with,” McNichol says. “They’re engaged … they want to get involved.”

Interaction heat maps show that users are tapping and swiping all over playable ads, including in places where there are no interaction points. Providing more interactive elements is important for engagement: when users are starting to engage, they stay in the experience.

And once they’re engaged, there’s a lot less “X’ing out” of the playable.

12. RPG game? Put characters in the ad

Many games, including RPG games, are character-driven. While it might seem important to demonstrate game-play in your video ads, Vungle has found that focusing on characters is critical.

Why?

People connect with characters, and connection drives engagement.

kings-game-mobile-characters

The result for for one Korean client’s mobile RPG game, King’s Raid, was 5X return on ad spend by day seven.

13. Playables aren’t just for gaming brands

Playables are just for games, right?

The short answer is no.

“We actually started introducing playable to some of our brand clients, including TikTok,” McNichol says. “We actually produced this playable unit where you kind of gamify it.”

Essentially, Vungle made a tapping game: as a cool video plays, you tap on it to make social-media-style love hearts pop up. That unlocks an even cuter video, and repetition unlocks an even cuter yet video. All of which represents what people actually do on Tiktok in a pretty authentic way, and yet is fun and playable for a complete Tiktok newbie.

“It became our highest-performing creative for Tiktok,” McNichol says. “So you can definitely gamify: take elements of the brand and have fun with it.”

Next steps: see all the sessions

Check out all the rest of the UNIFY @ Home sessions here.

And, if you’d like to see how to do data-driven creative on Singular’s platform, schedule a demo. We’d love to show you how top mobile marketers are beating the competition with a little help from our data and insights.

Bids, bid types, bid strategies: campaign properties you didn’t know your marketing reports were missing

There’s a set of campaign properties that are incredibly important for growth decisions that you don’t have easy access to. We’re not talking about clicks, impressions, or installs. It’s not CTR, ROAS, or ROI either, although all of these are important metrics.

Instead, we’re talking about bids and bid strategies.

Performance marketers have a few key levers to pull in campaign management. There’s creative, which Singular has a solution for. You have call to action, which you can test and optimize. There’s channel mix, where Singular makes experimentation and analysis painless. In addition, there’s targeting — who you want to deliver your messages to — and finally there’s bids and budgets.

Bids and budgets are critical. How much you’re willing to spend has huge implications for how often your ads get seen, how much scale you can drive, and how much ROI you can generate. But to date there have been almost no tools to help marketers optimize their bid strategies. Or, even see how bid parameters impact campaign performance.

Now that’s changing.

Campaign properties: metadata

Think of campaign properties as metadata: data about your campaigns. What made a campaign successful? What made it fail? More to the point, what specifically changed about your campaign at the moment in which it went from failing to succeeding, or vice versa?

You might have upped your bid. Decreased it.

Maybe you changed your bid type from CPM to CPI, or perhaps CPE.

Whatever you did had a material impact on your Google Ads campaign, or your Facebook ads, just like changing creative or switching offers. The problem is, a week or a month from now, how will you remember what you did? And how will you know what impact you made? Will you be able to check back, see changes you made, look at their impact, and be able to design informed future strategies from those learnings?

Probably not.

It’s probably just not a standard part of your workflow.

Mostly because you don’t have anywhere to save, record, or see that data. And yet, it’s some of the most vital data you have on what is making you successful (along with creative optimization and not wasting money on fraud). Unless, of course, you kept a record yourself, perhaps in Excel or some other document, every time you made a change.

Which is — let’s be honest — not the most reliable method.

You forget, you miss a change, you lose the document, you enter the wrong date or wrong bids. Or you get the junior member of the team to do it, and he takes off for Cancun. There’s dozens of challenges to manually storing the data.

Not least of them: now it’s not associated and queryable in relation to all of your other data.

Problem solved: Singular now surfaces this data

The good news is that Singular now records campaign property changes. And, like everything else in Singular, campaign properties are queryable, analyzable in reference to other marketing data and campaign data, and always available.

campaign properties in Singular

I spent some time with Singular product manager Evyatar Ram to learn more, and to see how mobile marketers can build bid data and bid strategies into their user acquisition workflow.

Here’s a lightly edited version of our conversation:

Why bid data is critically important for marketers

John Koetsier: Let’s take it from the top. What exactly are campaign properties?

Ram: Campaign properties are a new set of dimensions that we have started pulling into Singular. They include bids, bid types, bid strategies, campaign statuses, and others.

John Koetsier: Is this just an addition of new dimensions?

Ram: Yes and no.

While this feature does include adding new dimensions to the Singular dataset, this is actually a new category of data. This data represents a snapshot of your campaign analytics in a given point in time as opposed to pulling data which is stored historically.

To illustrate the difference between this data and regular data, with campaign properties there is no concept of historical data out there that Singular can access. We have to check the current state on a regular basis and then store it. In order to implement this our development team had to build new tools to pull in campaign properties data, a new pipeline to process the new data, and a new process to enrich the regular campaign statistics with campaign properties data.

John Koetsier: Why do marketers and user acquisition managers need this?

Ram: Campaign properties data is essential for user acquisition teams to be able to evaluate campaigns, see key parameters of their bid strategies, and make smart decisions for future changes.

One of the main levers UA teams have is to set and optimize bids. We know that many customers don’t have a good method today to log all the bid changes they make. They mostly rely on Excel sheets to manually document changes. Now, having this data in Singular makes it easier for them to have visibility into their activities. It also helps them have a single source of truth for all their user acquisition data.

To give a more specific example, pulling campaign properties data into Singular’s analytics can help user acquisition managers determine what impact changing the bid in a campaign had on the number of impressions or installs they got. Or, what their ROI was.

John Koetsier: So what’s the impact of having this new campaign properties data?

Ram: At a really high level, user acquisition is an operation where you make a lot of decisions every day and every week. Essentially, they go into a black box, and then you measure the impact of those decisions. Today you measure the impact of those changes in aggregate: you made 300 decisions, and you see the overall result in number of installs, ROI, CTR, engagement, and so on.

But you’re not looking at it decision by decision. And you’re not even looking at groups of decisions, like all your bid changes.

Now, with campaign properties in Singular, you can compare all the bidding decisions you made over a year in a specific geo, and see the results.

You sometimes hear from mobile marketers that user acquisition is more art than science, but really it shouldn’t be. This is yet another step to help UA teams be more scientific.

This also helps people not over-optimize, which can be an occupational hazard for high-scale, high-speed marketers. You’re dealing with literally dozens of campaigns on multiple platforms, and you don’t remember that you just changed your bid two days ago — or yesterday — so you change it again. There’s a definite danger in making too frequent updates to campaigns.

And, if you’re doing anything around automation, building an auto-bidding solution … you need this data to enable it.

John Koetsier: So how did user acquisition managers do this in the past?

Ram: We talked to a lot of customers about this and there wasn’t any one particular workflow for this.

There was a real mix: some used Excel spreadsheets, as I mentioned. Others used calendar reminders every time they would create a campaign … just a note in their calendars. One company actually built a small web app to track bid changes. Eventually they stopped using it because it was too manual, and it ran into issues of granularity. For example, the data included bid and country, but skipped publisher. So that tapered off.

Some did not track it at all.

And, bear in mind … even if you do track it somewhere, it’s not connected to all the rest of your marketing analytics data. So if you wanted to look at the impact of your bid changes, you had to remember to go get that data, you had to pull the data, and then you had to actually combine it with your campaign analytics in some way.

So some customers were trying to track bid changes … but the bottom line is that no-one really had a good solution.

John Koetsier: What networks are supported?

Ram: At launch we will support Facebook, Google, Snapchat, Apple Search Ads, and AdColony.

Others are in the works.

John Koetsier: What granularity of bids are you supporting? And what about the parameters … what are the standardized campaign properties you’re using?

Ram: We generally try to pull the bid data at the required granularity. For example, in AdColony we are pulling publisher level bids while for UAC campaigns we pull campaign level bids.

In addition to Bid Type and Bid Strategy dimensions, there are also dimensions called Standardized Bid Type and Standardized Bid Strategy.

These can be thought of as preconfigured custom dimensions that standardize bid types into CPA, CPC, and so on, and bid strategies into Manual bid, Auto bid, etc.

John Koetsier: What about customers who use the Singular API … will campaign properties data be available in the API?

Ram: Yes, and it’s in the API documentation as well.

John Koetsier: What kind of lift or overall benefit do you see this data having for mobile marketers and marketing teams in general?

Ram: I think ultimately the benefit is that you make better decisions. You can be a better user acquisition operator. You can get more scale and better ROI, or you can maximize scale at your target ROI.

It’s hard to see what kind of lift we’ll see at this point. We’ll likely have better data on that in time.

But another way to think about it this: How efficient are user acquisition organizations now?

Are they 95% efficient, as in 95% of their decisions are the best that could be made? I think it’s pretty clear that most teams are pretty far away from that level. Well, our goal is to provide tools that get them as close to optimal as possible, such that 100% of their decisions are better. Every time they create a campaign and every hour they spend in campaign management: we want them to have the data to be smarter.

There’s a lot of room to grow here.

It’s important to note that this is something UA managers and their teams will have to learn how to use. Because there haven’t been good ways to do this in the past, it’s been inefficient. It’s new, and it’ll take some time to become standard practice.

John Koetsier: Thank you for your time.

Next steps: using campaign properties

Interested in learning how you can get access to bid data and start to incorporate that into your user acquisition strategies?

The best way to request a Singular demo. We’ll have a product expert walk through what Singular does, how it works, and how you can grow faster than your competition with marketing intelligence.

Singular wins 2019 Technology Innovation Award from Frost & Sullivan

We’re pleased to announce that Singular has won the 2019 Technology Innovation Award for marketing analytics in North America from Frost & Sullivan.

Past recipients of Frost & Sullivan awards include Google, Verizon, Cisco, and IBM. Frost & Sullivan is a global research consultancy. 98% of the Fortune 1000 are clients, and the company creates original research for dozens of industries and sectors.

Singular wins Technology Innovation Award

That research included investigating five key technology attributes including Industry Impact, Product Impact, Scalability, Visionary Innovation, and Application Diversity.

Frost & Sullivan’s study also examined five future business value criteria: Financial Performance, Customer Acquisition, Technology Licensing, Brand Loyalty, and Human Capital.

“Against the backdrop of extensive primary and secondary research across the entire value chain, Frost & Sullivan is quite pleased to recognize Singular as the Technology Innovation Leader in the marketing analytics industry,” David Frigstad, Chairman of Frost & Sullivan, wrote in a letter of congratulations.

“Achieving excellence in technology innovation is never an easy task, and it is made even more difficult considering today’s competitive intensity, customer volatility, and economic uncertainty—not to mention the difficulty of innovating in an environment of escalating challenges to intellectual property,” Frigstad wrote. “In this context, your selection as recipient of this Award signifies an even greater accomplishment.”

It’s important to note that this was an independent study. Singular did not pay for it to be produced; we did not request that this report be created, and we did not apply for a technology innovation award.

And all of which, of course, makes winning that much sweeter.

Global brands have lauded Singular’s marketing intelligence platform as one of the strongest and most irreplaceable tools in their arsenal that has helped them obtain a clearer picture of their marketing effectiveness and maximize their return on investment.

– Frost & Sullivan report

More than anything else, Singular is focused on the success of our customers — the best marketers in the world. That makes this external validation of our recent progress particularly gratifying.

[Singular] has been an integral partner to some of the most innovative companies worldwide that have achieved phenomenal success with their marketing efforts.

– Frost & Sullivan report

That’s precisely what we’re seeing with customers like Ilyon: growing 98% with a little help from Singular. And Postmates: decreasing cost per buyer 80% with unified marketing analytics. And LinkedIn, which established a single source of truth for marketing performance using Singular.

“We’re very excited to get this award from Frost & Sullivan,” says Singular CEO Gadi Eliashiv. “It confirms that the most important thing we’ve been working on over the last year — our customers’ growth and success — is actually happening.”

Mobile ad monetization: Analyzing true ROI by tying in ad revenue

Can accounting for ad monetization revenue in your user acquisition ROI analysis help your app business grow smarter and faster? According to Singular Product Manager Lisi Gardiner … yes, it can!

It’s not shocking to most in mobile that ad monetization is growing fast. In fact, App Annie says that 60% more apps will build ad monetization into their overall mobile revenue strategies this year. So it’s clear that in-app advertising is a major — and growing — contributor to mobile publishers’ revenue.

For hyper-casual gaming publishers, it could get to 100% of their revenue.

The ad monetization challenge

But there’s a challenge.

When you only drive revenue via in-app purchases, your income is pretty easy to calculate. And so is your ROI on app install ads, because purchases can be connected to users. And, thanks to Singular and other companies like us, users can be connected to where you acquired them from.

But ad revenue is different.

measure-optimize-ad-revenue-AD-MONETIZATION

It’s harder to connect granular ad view or ad click information, such as the publisher, line item and payout, to individual users, and consequently to calculate cohorts. It’s harder to total up receipts from mediation platforms, ad networks, and monetization partners. And it’s much harder to connect those revenues with user acquisition costs to make smart, informed decisions about future marketing investments.

Enter Singular’s Ad Monetization Attribution & Analytics.

I spent some time with Singular’s Product Manager for Ad Monetization, Lisi Gardiner, to learn more.

How savvy marketers are figuring it out

Koetsier: Let’s start at the beginning … what percentage of revenue do apps get from advertising?

Gardiner: Easy question, harder answer. Ultimately, it really depends on the vertical and the individual app developer. For each, it’s really about finding the right balance of in-app purchase revenue and ad revenue.

Many app developers will constantly play around with that balance, trying to ensure they don’t show so many ads that it would cause the users to churn.

Hyper-casual games often have between 50-100% of their revenue from ads, and media apps (news apps, lifestyle apps, etc.) might have more ad-focused monetization as well. Other kinds of apps have much lower levels if any at all.

Koetsier: I’m guessing that figuring out the right number of ads is not the only challenge …

Gardiner: Absolutely not. Another key challenge is figuring out the right network fit. Many ad networks focus on gaming apps and gaming consumers, while others cater to other verticals, and you’ve got to find the ones that access consumers — potential users — who fit your app.

Koetsier: So how do most app publishers account for incremental ad ROI? How do they even know how much they’re making from each new user in their apps?

Gardiner: It really depends how sophisticated they want to get and how many resources they have. App developers that have a big percentage of ad revenue have some sort of way to combine the data, but ad networks don’t typically provide transparency on a user-level of how much ad revenue they make, although that is starting to change.

So publishers look at other measurements: sessions, geos, clicks.

But the most important thing to take into account is the business model of how you are getting paid.

If you’re getting paid on a rev-share basis, you’re getting paid for the user to not only view an ad, but click on an ad or complete an install. As an app publisher you ideally want to be selling your traffic on a CPM model, because then it doesn’t matter whether the ad actually works and an app gets installed: you get paid.

And, of course, the more eyeballs you have in your app, the more you’ll get paid.

Koetsier: What about those semi-mythical creatures, ad whales?

Gardiner: Some publishers just want to maximize those eyeballs — any eyeballs. But the other perspective we see is app developers who really only care about ad whales … the 20% of their users who view and/or engage with a lot of ads. And they come up with different flows to maximize ad whales.

Koetsier: What kinds of flows?

Gardiner: As an app developer, I have different places in the game where I can place ads. Like Candy Crush, which I play… if you’re out of lives, you can watch an ad and get a new life. But they’ve also added a different flow. If you’ve lost the game, you can add five more moves by watching a video ad.

So app publishers are testing different placements and formats for the ads.

And, of course, different perspectives: focusing on all users versus focusing on ad whales.

Koetsier: That’s quite a difference.

Gardiner: It is. When I talk to people in the industry, no-one is completely sure they’re doing it the right way. Everyone is asking: what is the best method? They want to know what everyone else is doing, and they want to know what maximizes revenue.

They also want to know: what is the best way to measure ad revenue? Should I measure it via eCPM, or track individual ad whale activity?

Koetsier: How do app publishers typically combine ad revenue with any IAP revenue or other revenue they might have, in order to understand overall ROI?

Gardiner: They’re either doing it manually, or they have a BI team that’s helping them combine it.

Since you’re trying to combine the data on device IDs, that’s a lot of data to be ingesting. Especially for hyper-casual games with small BI teams … that could be really costly in terms of time and money.

Koetsier: I assume you have a better way? Give me a high-level overview of the Singular’s ad monetization solution.

Gardiner: On the highest level, we pull in your user-level in-app purchase revenue and your ad monetization revenue, and then connect it with your cost data so you have a complete view of ROI and ROAS.

Singular gives you four different methods for calculating ad revenue:

  1. First, the in-house Singular solution
    For customers using our attribution, we have a plug and play solution that calculates the average revenue per session and automatically connects it with your user acquisition cost. The result is accurate, cohort-level insights into your ROI which you couldn’t get before because you were missing the ad revenue stream. We’re also able to account for more sophisticated setups that use multiple ad revenue events and more complex calculations.
  2. We also work with Ironsource
    We pull in all the user-level revenue data from Ironsource’s mediation platform and then connect it to your cost data.
  3. And we work with MoPub
    MoPub offers impression-level revenue data. We receive Mopub events that report revenue data, then cohort it for every device and combine it with ad spend across all of your acquisition sources.
  4. Finally, we work with Soomla
    We pull ad revenue data from Soomla and then apply/combine it to your cost data, or any other upper-funnel metric, for comprehensive ROI analytics.
Ad Monetization Attribution

Koetsier: How is this different from competing ad monetization solutions on the market?

Gardiner: First off, Singular is the strongest in pulling and calculating ad spend for every media source you’re working with. That’s in our DNA. We guarantee complete coverage and are not limited to Google and Facebook. That means that ad spend is accounted for in every type of report, at every granularity. You can see the ROI for any aspect of your marketing, whether it’s a channel, campaign or creative. There’s a lot of proven tech around this, which now also applies to our Ad Monetization solutions.

Second, we are integrated with all of the platforms that report user-level and device-level ad revenue. This means that regardless of which vendor you’re working with, we make the best effort to account for every portion of your data.

Third, we are the only MMP that has done the extra work to build comprehensive Ad Monetization Analytics that monetization teams can leverage to grow ad revenue. We want everyone to use Singular and have a single source of truth, and that should not be limited to the UA team. Our Ad Monetization reports can replace your manual reports or reporting vendors, and again uses our tech for pulling data from every type of format with automatic error detection and scalability.

Lastly, we’re flexible. If you want to use a custom ad revenue event, that’s supported. If you’re working with multiple vendors across your app portfolio, we will connect to all of them.

Koetsier: So, let’s say I’m an app publisher. What can I expect if I implement this?

Gardiner: As soon as you implement our SDK and connect your publishers to Singular, ad revenue will be available in every single report we have.

First off, we’re giving you complete visibility into your total ROI, which you never had before. Channels and campaigns that you thought had a specific ROI could look completely different once you factor ad revenue into the ROI calculation. Now you can make better decisions about the actual performance of campaigns and channels.

Plus, we’re going to save you a lot of time. If you’re doing this manually and optimizing just one network every day, we’re easily saving you a couple of hours a day.

Koetsier: And what does that change about how I do my job?

Gardiner: You can optimize your campaigns much more frequently … and you have way better insight into how to do it.

Koetsier: So, bottom line: how does it make me better at growing my app?

Gardiner: We provide a full picture of all your revenue … before you didn’t have a complete view of your revenue.

That means you make better-informed marketing decisions. That means you have what it takes to hit your goals. And, that means you know which media sources provide the most valuable users.

For example, some ad networks might be more expensive, and you might be tempted to cut them, but having ad monetization data from them could indicate that they provide more valuable users, who engage with the ads in your app … so they actually have high ROAS and you should be increasing spend with that network.

At the end of the day: you know more and you’re smarter. So you grow faster.

Koetsier: Thank you for your time!

Want to learn more about tying in ad revenue to your ROI analysis?

>> Schedule a demo today.

CEO insights: Why creative fatigue isn’t as simple as it sounds

CEO Insights is a new column by Singular CEO Gadi Eliashiv focusing on some of the most challenging issues in scientific marketing.

Most sophisticated growth organizations we’re working with are placing an enormous importance on creatives. These companies usually have in-house design teams dedicated for making creatives, plus processes and metrics around the production and launch process.

All of it is designed to ensure optimized results.

These companies understand the power of creative optimization, and distribute shared responsibility for amazing creative throughout the organization. Designers have been educated about performance metrics, and they’re savvy enough to combine their art with science in the form of cold, hard metrics.

These top brands also have periodic meetings (bi-weekly or more) where the design team sits down with the marketing team. Together they carefully examine the performance of various assets, and find a balance between introducing new winning concepts, sustaining proven concepts, and eliminating bad ones.

More advanced marketers also apply particular conventions to how assets are managed and tagged, so that tens of thousands of creative variations can be grouped by a handful of key concepts, which helps identify key trends.

All of these workflows and analysis capabilities are available out of the box for our customers through Singular’s creative optimization suite, and it gives our customers an enormous edge. Click here if you want to learn more about that, or email me if you’d like to see a demo.

So: what is the right process?

One area that was of interest to me was the pace at which companies swap out creative assets.

When asking various companies, I got a range of answers from: “we don’t have bandwidth for that at all” to “we have a constant refresh rate.” Some companies update on a fixed period of time (every two weeks or a month), while others update their creative “whenever design creates a new one.”

Obviously, not all creative costs the same to produce, and some creative is super expensive to produce in time and money like playables and videos. Other assets, however, can be produced quickly and efficiently, and when infused with time-specific context (such as a big concert, or a particular live event in a game) they can produce great results.

A common theme I’ve heard is the following way to run analysis on your creatives:

  • Cadence
    • Weekly or bi-weekly
  • Data input
    • Creative asset performance from all channels (Singular does that out of the box: check out our API)
    • Campaign targeting option data, particularly around the major self-attributing networks, to identify targeting methodology (value optimization, bid optimization, etc. …)
    • Channel, country, region, plus any other breakdowns that makes sense to you
    • Four weeks of data
      • Period A: first 2 weeks of data
      • Period B: second 2 weeks of data
  • Two simple data outputs
    • Check the trend of currently running creatives to detect big drops that might suggest these creatives should be cycled.
      • The drops could be in clicks, installs, eCPM, or any other metrics that make sense
      • For customers using Singular’s attribution, we enable ROI granularity all the way down to the creative level, so you can check for a drop in your main KPI (which is often what the ad engines optimize against)
    • Isolate the creatives that did not exist in Period A, but existed in Period B, and identify how they are trending. Learn from new concepts that are succeeding well, and some that are failing to ramp up.

One example:

Creative Period A Period B
  CTR     Conversions     eCPM     CTR     Conversions     eCPM  
Creative 1     3% 7,500 $9.50 1.5% 3,300 $11.75
Creative 2 n/a n/a n/a 3.5% 15,000 $11
Creative 3 n/a n/a n/a 1.5% 3,400 $9
Creative 4 1% 2,200 $3.40 2.3% 4,300 $4.23

Creative fatigue and time

As I look at all this data, the questions I keep asking myself are:

  • When is the right time to swap creatives?
  • Do companies know those times?
  • Can they even figure them out?

The answers to those questions, as I found out, are very complex. After dozens of talks with top tier marketers I got literally dozens of answers, and none of them was the silver bullet I was hoping for.

(Mostly likely, there isn’t any one single silver bullet. The techniques that work for one app are different than those that work for another brand.)

The one common thread in all these conversations was the favorite topic of creative fatigue detection. The formal definition of creative fatigue is that consumers/users/customers do not even see your ad anymore. They’ve become so used to it, that it is now just part of the default background for them.

Traditionally, the first thing people think about fatigue is that CTRs drop over time, because people have seen your ad again and again, and those who wanted to click have done that already.

But when I started researching some data, that naive assumption quickly surfaced as being incorrect.

When dealing with optimizing algorithms like Facebook’s and others, they will track the number of exposures each user had seen (frequency) and will cap that at a certain point, because their algorithm understands that it’ll be a waste of an impression, and also lead to a bad user experience.

So FB simply chooses another ad to show.

You can quickly see this phenomenon in the chart below.

In the first chart, CTR does not drop appreciably throughout the campaign. A campaign manager who looks only at this probably thinks that all is well with her ads.

CTR over time: no creative fatigue?

But there is actually a significant problem.

What’s actually happening behind the scenes is that Facebook knows that it has exhausted your chosen audience, and the number of people it is showing the ad to has dropped precipitously:

Creative fatigue … sometimes, Facebook is smarter than you

It’s important to say ads will not always behave that way. That’s why when analyzing fatigue you need to not only know what assets you’re using, but also what ad channels you’re running on, what bidding methodology is being used, and what their algorithms do.

(For example: due to saturation, the algorithm could also start increasing the CPM bid to generate more impressions, which will decrease your ROAS).

In general, even if these algorithms are smart enough to avoid audience fatigue, it is still the responsibility of the marketer to identify it and remedy the situation. You can find new audiences, add new creatives, and so on.

But there can be more going on

Sometimes when you’re looking for creative fatigue you’ll see data that doesn’t make sense at first. For instance, you might have a click-through rate chart like this one, which shows creative gaining strength over time:

Creative fatigue: can ads gain in CTR and conversions over time?

All looks well at first glance. But … if you check impressions, there’s clearly something else going on. The number of impressions is skyrocketing:

Creative fatigue: Oops, impressions are skyrocketing

Something very different is going on here.

Hint: this behavior can be related to changes in bids and budgets … another key thing to think about when testing for creative fatigue. Changing the bid (even if it’s a CPI/CPA bid) will directly impact the amount of money you’re willing to spend on a certain impression, therefore creating more impressions that were not accessible before at your previous bid.

In short: creative fatigue is one of those concepts that seems easy to understand and easy to diagnose … but actually isn’t. To find out if creative fatigue is actually happening, you need to dig deeper into the data than most can or will.

Fortunately, that’s where Singular can help

What’s next

That’s it for this post. In the next post, I’ll look more at how bids and budgets impact click-through rate, impressions, and conversions.