Kochava Intelligence gives marketers one location for business intelligence tools and spares them the necessity of working with additional providers or spending in-house time on analyses. The suite’s services provide a deep understanding of attribution and attrition, and an unprecedented power to access, analyze, and optimize your data through its services and features.


Campaign Insights

A Business Value Assessment (BVA) has been performed for many customers to help uncover fraudulent campaign activity and also determine the value delivered by media partners. The Client Analytics team goes beyond the interpretation of standard reports by using advanced queries to draw correlations not easily observed initially. Tap into their analytic prowess and learn how to identify less evident forms of fraud, or whether the attribution datastream (signal) sent to Kochava by media partners is accurate.


Churn Modeling

Attrition is a costly problem for mobile marketers who spend millions to acquire new users only to lose many of them immediately after installing an app. The Kochava Data Science team is available to create custom churn models to more accurately identify audiences for retargeting or show users more likely to churn.

Churn modeling is also accessible from the Analytics dashboard where mobile marketers access their core metrics for analytics of in-app user activity. Using the “Predicted Churn” event, they can further segment their data and retarget users at risk for churn.

Read more about predictive churn modeling in our marketing intelligence series here.



Insights Report

Outside of a BVA, marketers can access a new Insights Report from the Kochava Intelligence suite. The report uses machine learning technology to make “buy” and “do not buy” recommendations on certain ad inventory from the partners the marketer is already working with. The report is created using Optimization Beacon technology. Marketers can apply Insights Reports when deciding on their future ad-buying decisions.



Query gives marketers database-level access to their full data set within Kochava.


With Query, marketers can:

    • Leverage real-time access to all of your data via SQL prompt with UI helpers
    • Manipulate, collide and mash data to gain insight on traffic and user behavior
    • Access and collide data across apps to get account-level insight and intelligence
    • Export defensible intelligence to stop fraud in its tracks
    • Over 16 predefined queries to keep track of your publisher sources including click stacking, fast follow click influencers
    • Access all app traffic for your publishers and look at impression, click, install and event performance cross app


Learn more about Query


What if?

What if? provides answers to questions such as, “What if I had increased the lookback window on my campaign?” or, “What if I had eliminated one of the networks from my campaign?” Explore these business intelligence tools below.

With What if? marketers can:

  • Replay historical traffic with changes to your campaign strategy
  • Test real theories in an experimental environment
  • Apply learnings from What if? scenarios to optimize conversion rates
  • Add or remove networks and publishers to your campaign and analyze the resulting impact

What if? Scenario: Remove a Network
What if network (Network D) had been removed from the previous campaign? Would other networks pick up the slack, or would those installs go unattributed?

In this case, the network in question (Network D) is important to the mix. Removing that network caused approximately 68% of the installs to go unattributed, therefore Network D is a strong driver of growth for this app.

What if? Scenario: Enable Fingerprint Equalizer
Network F doesn’t pass any device IDs: It influences more installs than it wins, but the ones it wins are more accretive. What if Fingerprint Equalizer was enabled for the network—Would it win more installs, and would they still be more profitable?

In this case, when Network F’s fingerprint attribution is given the same priority as device ID, the Revenue per Install (RPI) drops by 15% but attributed installs increase by 39%—and the overall revenue difference for the network increases by 18%.

Learn more about What if?

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