Grow faster: How ‘Dual Integration’ unlocks vastly more value than vanilla mobile attribution

Peanut butter is just peanut butter. And chocolate is just chocolate. But if you have the creativity and insight to combine them, you create a magical mystery confection that makes your mouth cry out for joy and high-five your stomach. You get, perhaps, dual integration.

Imagine the peanut butter is marketing campaign data.

Imagine the chocolate is attribution.

Put them together, and the result is not magical and not mysterious: it’s marketing science that unlocks ever-increasing but previously hidden value. And that’s just one of the secrets revealed in our No Bullsh!t Guide to Mobile Attribution.

But what exactly is dual integration? And how does it work?

Dual integration technology

“Simplistically, dual integration technology is connecting marketing data with outcome data,” says Singular VP of Client Services Victor Savath. “On the marketing side, we’re talking about information on campaigns, publisher, creative, and sub-campaigns. On the outcome or attribution side, we’re talking about user or customer install and event data.”

Ultimately, you’re combining spend data with mobile attribution data.

But … at as granular a level as you implement your marketing spend.

That means every outcome, or attribution, is enriched with campaign information. Now you know not only that you acquired a new customer, or user, from Ad Partner XYZ. You also know what campaign it was from. Where the campaign and the customer intersected. And what specific creative cued the conversion.

When you combine these two datasets, you get true granular ROI, says Savath.

“It’s not about whether or not a network performs, it’s what is performing within a particular network,” Savath told me yesterday. “Sometimes we see that marketers are quick to dismiss performance marketing, or a particular ad network, because the results are all blended. But granularity highlights the pockets of value. For example, in one network … one specific set of creative might work very, very well, while another does not. With granularity, you know.”

Alternatively, some publishers or traffic sources that an ad network uses for your campaigns might be horrible: poor quality or even fraudulent. But other traffic sources are amazing. Seeing this close up means that marketers can optimize for the best-performing publishers within an ad network. That unlocks potential pockets of profitable growth.

The problem?

Most marketers aren’t able to get to that point.

Missing out on magic (or marketing science)

There are many different types of granularity: creative, publisher, network, campaign, region, with metrics from both the network and attribution side. But what matters the most is ROI granularity … which is inherently matched to your ability to tie both sides of the equation together.

The problem is that most marketers don’t have a tool that connects and aligns all the data properly.

And that means they’re making future resource allocation decisions based on limited information.

“For example, if you’re just using vanilla attribution data, you might say that a certain publisher is generating revenue for you,” Savath says. “The problem is, you’re not exactly clear at what specific cost you’ve achieved this revenue.”

Dual integration might show you that A, B, and E campaigns are really working well with a certain ad network, while C and D are not: they’re complete duds. That insight may mean the difference between writing off an ad network as a total loss versus optimizing your efforts with that partner.

And, of course, achieving much better results.

The big aggregated campaign picture alone has its own challenges, of course.

“Alternatively, if you’re just using spend data, you don’t understand your outcomes at all,” says Savath.

Magic isn’t hard. It’s science

The best part is that with Singular, dual integration isn’t any integration at all. At least, not on your part.

Singular does it for you. And it’s not a back-end thing, it’s a built-in thing.

Most attribution solutions provide tools to create tracking links, or make them in bulk, or allow marketers to import them. The problem is that most marketing managers build tracking links in a vacuum, without knowledge of how a partner will report spend back to you. With Singular, there’s no manual link building … Singular removes the whole element of manual creation of tracking URLs from the measurement workflow.

“Instead, Singular creates the links for you and automatically embeds campaign, creative, publisher, ad network, and other data into your tracking links,” says Savath. “Since our marketing data is informing what the link structure should be, you have automatic alignment between marketing data and attribution data. And thanks to Singular’s deep integrations to thousands of ad networks and marketing partners, your URLs will always have the right parameters and the right values.”

ROI versus IOR

Thanks to the performance-based nature of much of modern mobile marketing, marketers are not so much calculating return on investment as investment on return. In other words, they get the attributed results of their marketing and determine how spend and marketing activity relates to those results.

While there’s definitely a big place in performance marketing for spending based on results, only being able to look at marketing data this way creates serious challenges.

One of the biggest: data reconciliation problems.

“Singular’s approach is matching conversions to spend versus matching spend to conversions,” says Savath.

Get the full Guide for much more

The full No BullSh!t Guide to Attribution contains much more insight on how to do attribution right, focusing on seven core topics:

  1. Mobile Measurement Partners (MMPs)
  2. Data combining
  3. Granularity
  4. Reporting
  5. Fraud prevention
  6. Data retention & accessibility
  7. Pricing

Singular <3 Quora: The latest partnership to maximize your ROI

Today, Singular is excited to announce a new partnership to improve the ROI of your user acquisition strategy.

Quora, a platform for people to ask questions and read insightful answers, offers advertisers an opportunity to influence people during the consideration phase of their purchase process. Now, through Singular’s integration with the new Quora API, advertisers can accurately attribute user behavior and measure the true performance of their Quora campaigns all within the same Singular dashboard.

Luno, a power user of Singular and active advertiser on Quora, can attest to the power of bringing the two platforms together.

“Luno provides a safe and easy way to buy, store and learn about digital currencies. Advertising on Quora allows us to target people actively looking for more information on Bitcoin and Ethereum, and now with our data available in Singular we are able to uncover new insights and more effectively ensure the performance of our campaigns,” says Charlie Jobson, Growth Manager at Luno.

Quora has a worldwide audience of 200 million monthly unique visitors. The Quora advertising platform offers marketers the ability to target high intent audiences who are reading relevant questions and answers. Quora allows advertisers to target based on particular topics and then records metrics in the Singular dashboard at the campaign and sub-campaign level so you can measure ROI with granularity.

Adding Quora as a data source for campaign analytics in Singular is easy.

  1. Once you log in to your dashboard, simply navigate to the “Settings” tab and click “Data Sources.”
  2. From there, search for Quora and enter your Quora credentials.
  3. Within 24 hours you will see your data populated in your reporting.  

For more information on how to get started on Quora and how to include this data in your Singular dashboard, please reach out to your Customer Success Manager.

About Quora

Quora is a place to gain and share knowledge. It’s a platform to ask questions and connect with people who contribute unique insights and quality answers. This empowers people to learn from each other and to better understand the world. Since its founding in 2010, Quora has grown to more than 200 million monthly unique visitors. The product is currently available in English, Spanish, French, German, Italian, Japanese, Hindi, Portuguese and Indonesian. Quora launched its advertising platform in May 2017 and has more than 1,000 active advertisers across a spectrum of categories. Marketers can run text or image ads and access a range of strategic targeting options.

About Singular

Singular is a marketing intelligence platform that unifies marketing analytics, giving marketers actionable insights from previously siloed data. By connecting upper funnel marketing data with lower-funnel attribution data, marketers can measure ROI from every touchpoint across multiple channels and optimize spend down to the most granular levels. Singular currently tracks over $10 billion in digital marketing spend to revenue and lifetime value across industries including commerce, travel, gaming, entertainment, media, and on-demand services. Singular customers include companies like Lyft, Yelp, Airbnb, LinkedIn, Symantec, Zynga, Match, and Twitter. Singular is backed by Norwest Venture Partners, General Catalyst, Thomvest Ventures, Method Capital, Translink Capital, DCM and Telstra Ventures. Visit www.singular.net to learn more.

 

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.

Solving cross-channel and cross-platform marketing with a modern tech stack

How do you build a modern marketing tech stack for cross-channel and cross-platform marketing? A good start might be emulating some of the best practices of top marketers from Instacart, Match.com, HER, and Riot Games.

But don’t expect it to be easy.

Finding the right solutions is tough.

“The martech landscape has grown over 40% year over year,” Tim Hsu, head of growth for Riot Games, said recently at Singular’s UNIFY conference. “The 2018 version of the martech landscape came out in April … in 2011 there were 150 solutions.”

“In 2018 there are 6,800 solutions by 6,200 providers in over 48 categories,” he added. “That is really complex.”

Adding to the challenge are all the new telemetry points you can track as a brand.

IoT adds data from internet-connected fridges, smart door locks, and app-controlled lighting. OTT movies and shows add data from providers like Hulu, Netflix, Apple TV, and Chrome TV … and the emerging ad networks that advertise here. Add it all up and you’re dealing with billion of additional data points even compared to marketing five years ago, Hsu pointed out.

And that’s not even mentioning new avenues marketers are exploring: Alexa skills and Google Actions, augmented reality and mixed reality, plus the whole messaging explosion via Facebook Messenger, WhatsApp, SMS, and other platforms.

James Peng dealt with those challenges at Match, one of the biggest dating services on the planet.

Singular SVP Dominic Kelly

“Match is a two-decade old business … they kind of piled on the marketing stack,” he explained. “My job was to adapt to mobile … how to consolidate all the data from all the sources was challenging.”

As a company with its roots in the dot-com explosion, Match was initially web-based. Making that mobile was the right way to go, but trying to report on cross-platform marketing data — web and mobile data together in a simple, normalized, usable fashion — was challenging, to say the least.

But executives need a single source of truth to sum up overall performance.

For Match, Peng decided Singular was the right solution.

“Singular … was a way to attack that entire structure and allow reporting across all the platforms in a linear fashion,” Peng said. “Singular was a core solution for reporting and replaced the need for the same solution on the desktop side … the solution actually solved for web also as well as mobile at the same time. That was a nice plus.”

One big benefit?

Having your attribution provider and your overall marketing analytics reporting together reduces your need to standardize events, and pre-emptively avoids many of the complications and discrepancies that otherwise marketers have to solve with BI staff or data science experts.

It’s an even tougher challenge for Noa Gutterman, who is the head of growth marketing for HER. Gutterman’s data requirements include meetups and other live events.

Attendees at the UNIFY conference by Singular

“We use 10 to 15 solutions at any given time … we spend most of our money on Google and Facebook, but look hard for non-traditional sources,” Gutterman said. “Assessing metrics from live events is a big struggle … the data we were missing was data from the ticketing platform.”

For Guillaume McIntyre, the head of digital marketing for Instacart, the way to find the right marketing technology solution is in the wisdom of crowds … as long as those crowds are composed of smart marketers.

“You have to be very curious and open-minded to assess new solutions. But you can’t just talk to new vendors all the time, or that’s all you’ll be doing every day,” he said at UNIFY. “I’ll try to talk to smart people, and if they all mention one solution, I’ll investigate it.”

For Instacart, it’s also all about prioritization.

“As soon as you bring in all the sources, the complexity increases significantly,” McIntyre said. “We really prioritize what data what we need.”

Managing complexity is a massive component of digital marketing success today, especially for cross-platform marketing.

Without organization, marketers drown in data. With consolidation and normalization, marketers make smart real-time data-driven decisions that boost performance and turbo-charge ROI.

“I was an early customer of Singular when I was at Twitter,” Hsu said. “We were using two dozen supply sources … so the data explosion that Gadi talked about was very real for us. The reason we partnered with Singular is that I had my data science pod doing the work initially … and it’s the opportunity cost of what they could be doing otherwise. Partnering with a platform that has done the data integrations and has done the sanitization is a pretty big deal.”

That’s true for both “traditional” customer acquisition and, on mobile, user acquisition.

Dig deeper: See how the best marketers are making sense of cross-channel and cross-platform marketing data.

Data explosion: The ugly truth facing modern marketing technology stacks

Marketing technology is a fast-growing industry. It’s worth $230 billion each year and growing 20% year over year, Singular CEO Gadi Eliashiv said recently at UNIFY.

But that’s slow growth compare to marketing data itself.

“Marketing data is exploding,” Eliashiv said. “It’s growing much faster than the industry itself.”

Why?

There are more connected people, many with multiple devices. That’s more digital activity, all of which generates more data and more statistics. There are more software solutions for both martech and adtech, and each of them ingests, consumes, and generates additional data.

And with that increased digital activity — more of the customer journey is digital now than ever before — marketers have built more metrics to understand what visitors and users and customers are doing.

The current marketing tech stack for an enterprise can easily include more than 100 martech tools, Eliashiv said. The average enterprise currently has 91 cloud services for marketing, according to Netskope data cited by Kleiner Perkins and “chief martech” Scott Brinker.

This puts huge power in the hands of marketers.

But it’s also a huge problem.

“This creates major challenges for marketers,” Eliashiv says. “The data is siloed, the data is non-standardized, and the data is not actionable.”

If it was only siloed, the solution might be simple, though tedious: logging into multiple dashboards, downloading multiple PDF reports, exporting multiple Excel spreadsheets, and combining them all in an internal BI system, or a monster spreadsheet.

And … doing the same task every single week (unless you want more real-time data, in which case you could do it more often.)

But the data is also non-standardized. Naming conventions differ. Definitions of terms like “viewable” differ. Percentages are on different base figures. Conversions mean different things in different systems. So the data needs to be normalized in order to make sense.

Only then is it truly actionable.

“We make sense of it all,” Eliashiv said. “We built an infrastructure that will collect all the information from every solution possible, and then offer insights on top of it.”

That includes marketing data: what the team is doing, where they’re spending money, and what campaigns are going on across all channels and partners. It includes attribution data, which is simply linking that marketing data with outcomes. And it includes customer data: the KPIs or actions that marketing departments are trying to drive.

“The core challenge for marketers is how you make your data actionable,” Eliashiv says.

“To help marketers succeed in this fragmented space, we’re doing three things: connecting all the data from all the silos, standardizing this information so it is ready for consumption and analysis, and analyzing the information and making it actionable.”

Those three simple-sounding steps?

They take the data explosion — an ugly, inconvenient challenge for many modern marketers — and make it an incomparable asset.

Go deeper: Find out how Lyft and Match accelerate their growth.

Unify: Bringing the Marketing World Together

A little over a month ago we held our inaugural UNIFY conference.

The dream for this conference started years ago. Singular is a community, and our employees, partners, and customers are our family. Our family’s mission is to unify data across the marketing ecosystem, and we do that for the best and brightest in the industry.

Our goal since day one — and our goal at the UNIFY conference — was to share the insights we unlock to marketers everywhere.

The best part about UNIFY?

We learned from some of the best about how to beat the rest. A literally all-star cast of speakers shared some of the ways they became all-stars.

Something even better, however, is that over the next week or so, we’re going to share their insights with you … right here on the Singular blog.

That includes top executives from Lyft and Poshmark. Senior leaders from LinkedIn, and VPs from companies like Calm, JamCity, Postmates, and N3twork. We learned about fraud from IronSource’s head of growth, and multi-touch attribution from Lyft’s head of marketing science. Top marketers from Instacart, Kabam, Small Giant, and Riot Games shared how they build their tech stacks and what drives outsized growth. Yelp execs spoke, along with leaders from Nexon, SmartNews, and Grow.co.

And Singular’s own CEO, Gadi Eliashiv, shared what’s changing in marketing technology, how those changes are impacting growth teams, and what marketing leaders can do to win today.

But there’s more. And it’s just for you.

We’re going to be sharing detailed insights on how all of these marketing superstars lead their world-class organizations … with full video.

I’ll update this post with the links as those posts go live over the next 7-10 days. So I strongly advise you to check this space regularly to learn from the leading stars of our industry. Over the next few days, you’ll get a chance to peek inside the curtain and see part of what made them so successful.

Our goal? Providing the tools that you need so you can join them.

If you came to UNIFY: thank you. You helped make it a truly special occasion.

But if you couldn’t get a ticket this year … we look forward to seeing you next year!

Ad Monetization Reporting & True ROI Made Easy

Since launching Singular 4 years ago, we’ve worked tirelessly to become the de-facto Marketing Data Platform for the top mobile brands around the world. Our clients use Singular to unify their core marketing data sets into a single source of truth. And we take pride in helping them sort through the complexities of the ecosystem and uncover insights to help grow their business.

Singular is dedicated to helping marketers uncover ROI across their entire customer journey. A lot of marketers have a single source of revenue, in the form of in-app purchases, but many others have an additional source of revenue called “Ad Revenue” (similar to how a little company named Facebook makes their money 😉). As a result, ROI shouldn’t solely factor “App Revenue”, but must also “Ad Revenue”.

At Singular’s first annual growth marketing summit, UNIFY, our CEO Gadi Elishav announced the launch of our Ad Monetization Reporting. This product addition is in direct alignment with our vision is to help marketers uncover their business’ unique customer journey and understand every touch point within that journey.

Singular’s Ad Monetization Reporting collects, aggregates and standardizes your ad revenue data from all of your monetization partners into a single reporting view. We’ve taken the same approach and technology that Singular is known for with our new Ad Monetization Reporting. For customers who also use Singular attribution – we will soon provide deeper insights into granular ROI, accounting for both Ad Revenue and In-App Purchases, commonly referred to in the industry as True ROI. We’ve already integrated the most popular monetization partners, and are consistently adding new partners.

 

This is a game-changer for User Acquisition and Monetization teams alike:

  • User Acquisition teams can finally account for Ad Revenue in their ROI formula.
  • With the ability to see the true ROI figures – User Acquisition Managers will be able to make better decisions about the actual performance of their campaigns and channels and scale their marketing efforts efficiently and more intelligently. Channels and campaigns that you thought had a specific ROI could look completely different once we factor Ad Revenue into the ROI calculation.
  • A centralized snapshot of all your Ad Revenue enables better insights and scaling app ad revenue down to the placement level.
  • Streamline work with finance, and have a true end-to-end view of your marketing profit and loss.

Are you interested in next-level Ad Monetization Reporting and analyzing more accurate ROIs? Let’s connect! Reach out to your Customer Success Manager today or contact us.