Future-Proof Mobile Marketing Solutions
Top-down incrementality measurement. LTV prediction and end-to-end UA automation.
Driven by machine learning. Built for a privacy-centric world.
Polaris: Top-Down Incrementality Measurement For The Post-IDFA Era
SKAdNetwork has serious limitations. Overcome those by adding a future-proof incremental solution, Polaris, that is a ready-to-use, turnkey, drop-in replacement
for last touch and involves no change to your marketing or UA processes.
Polaris relies only on daily aggregated data that will never be restricted.
Polaris also measures offline spend including influencer and finds cross-channel interactions.
Polaris measures incrementality in terms of lift over paid advertising and organic demand.
Cutting Edge Algorithms
Our machine-learning models deliver 97% backtested prediction accuracy while they produce results that are at least 30% more accurate than last touch attribution in terms of incrementality. Plus, our models indicate an average 50% reduction in misattribution to self-attributing networks like Facebook and Google compared to last touch.
Our strong integrations with MMPs like Adjust and AppsFlyer, cost aggregators like Singular, and channels like Facebook, Google, AppLovin, ironSource, Vungle, and Unity, allow us to shrink your onboarding effort to sharing a single API key. No app code or SDK is required. Custom data integrations are simple and easy as well.
Limited Post-IDFA Signals
Will Require Data Science
Gone are the days when one can get away without a data science team by relying on simple last touch attribution. Polaris gets you there faster, easier, and cheaper.
Automate Ad Network User Acquisition
Truly hands-off automation predicts LTV, applies media partner-specific logic, and optimizes bids to maximize your investment in ad networks outside of the walled gardens of Google and Facebook.
Constantly collects data, updates models, and protects your media spend, even when you’re asleep.
Combines powerful algorithms and decades of ad network experience to produce unparalleled accuracy.
A robust set of features including automation rules allows teams to stay hands off while retaining full control.
"The incremental approach is really the most interesting long term solution for companies to be looking at because it has the ability to measure that is not going to be impacted by any policy changes that Apple makes today or Google might make in the year ahead."
– Anthony Cross, Former VP of Data Science, UA & Product
Big Fish Games