Polaris: The Only Future-Proof Incremental Measurement
Ready-to-use, turnkey, drop-in replacement for last touch
that involves no change to your marketing or UA processes.
Superior Measurement Signal To SKAdNetwork
SKAdNetwork is a deficient signal with serious limitations, but it will be the only measurement option for the unprepared. Data granularity is limited to only 100 campaign IDs. KPIs can’t be cohorted by install date. Most importantly, all performance KPIs including retention, revenue, LTV, and ROAS, disappear.
The Only Measurement You’ll Ever Need
Polaris does not need IDFA or GAID and is packed with easy-to-use features
that enable you to quickly prepare for the post-IDFA era and beyond.
Easy To Use With SKAdNetwork
We make it easy to deploy our solution and SKAdNetwork in parallel. Start combining top-down incrementality with your available last touch signals.
Utilizes Historical Data
All we need is two months of your existing historical data to get you started. In many cases, we can pull it in with a single API key to your MMP.
Preserves Your KPIs & Granularity
Polaris supports all existing KPIs including retention, revenue, LTV, and ROAS. Avoid the surprise of losing all of those KPIs when IDFA is deprecated.
No SDK, No Code Changes
Polaris saves you time by not requiring any SDK or code changes. It uses our integrations with your MMP, cost aggregator, or media partners.
Our interactive reports offer rich detail to give you full command of your measurement.
Data Science Expertise
Benefit from our data science expertise captured in the fine-tuned regression algorithms, crafted to unleash the power of top-down incremental measurement.
Facilitates Prioritized Experiments
Add robustness to the models by executing auto-generated experiments that measure ground truth incrementality while minimizing opportunity cost.
Understand model internals like uncertainty and prediction error. Share model data with your data science team to boost confidence.
Ditch legacy last touch in favor of the ideal future: incrementality. Measure the true value of each granular traffic source in the context of your overall media mix.
How Does It Work?
Ingest Your Historical Data
Quick ingestion of your existing historical app event and ad spend data to feed our models.
Train Models, Test & Analyze
Conduct model training, automated backtesting, and automated ground truth experiments to unveil incremental results.
Deliver Measurement Output
Via API and dashboard at the same granularity as your spend data. Can be fed into our UA Automation solution.
"From having led a data science team, there is an awful lot of important insights that can come from having algorithms just analyze data at massive scale. That's something that people are not physically capable of doing."
– Anthony Cross, Former VP of Data Science, UA & Product Management,
Big Fish Games