The Only Future-Proof Measurement Solution
Our top-down measurement is rich, comprehensive, accurate and incremental.
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
Not only is our solution future-proof, it is packed with easy-to-use features that make it easy to get prepared for the post-IDFA era and beyond.
Easy To Test With SKAdNetwork
We make it easy to evaluate 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.
Maintains Your KPIs & Granularity
Our solution 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
Our solution saves you time since it doesn’t require 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 team through the regression algorithms they’ve crafted to democratize top-down incremental measurement.
Facilitates Prioritized Experiments
Add robustness to the models by executing controlled 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 two months 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