Identify your true ad spend efficiency. We use scientific split-testing and holdout groups to calculate exact incremental conversion lift, eliminating wasted spend on customers who would buy organically.
Receive a free analysis of your ad accounts to identify overlapping organic conversions.
We use advanced statistical models to isolate ad-driven purchases from baseline organic conversions.
Split your audience into exposed vs. control holdout cohorts to measure exact incremental conversion lifts.
Segment marketing regions into test vs. control zones to determine the offline and online sales lift.
Sync conversion data streams directly with Meta Conversion Lift API and Google Ads Lift experiments.
Isolate and eliminate double-counted conversion credits claimed by both Google and Meta campaigns.
Leverage secure Snowflake and Amazon Web Services clean room protocols to match customer lists safely.
Combine experimental lift results with statistical modeling to calibrate your budget distributions.
Adjust sliders below to view how much of your reported conversion revenue is actually non-incremental.
How Conversion Lift studies differ from standard in-platform pixel reports.
Platforms claim credit for purchases from existing brand-advocates who searched for your brand name organically.
Google and Meta both claim 100% credit for the same single purchase when a buyer clicks on ads from both networks.
Spending up to 40% of budget showing retargeting banners to shoppers who had already initiated a purchase sequence.
Exclude control groups systematically from bidding, measuring the absolute conversion difference caused by the ads.
Isolate exact multi-channel conversion paths to calculate real, non-duplicated incrementality values.
Shift budget from high-overlap brand keywords to net-new cold audience acquisition strategies.
How we configure and execute randomized conversion testing for your accounts.
Analyze historical brand overlaps and design the geographic or audience split parameters.
Configure Meta Conversions API and Google Lift experiments to build holdout audiences.
Run lift studies for 14-30 days to collect baseline and ad-exposed purchase variables.
Redistribute budgets to isolate high-lift customer acquisition campaigns.
Real-world accounts of how we eliminated wasted ad spend through lift studies.
Discovered 45% of branded search sales were non-incremental, reallocating ₹4.2L monthly to cold customer acquisition.
Ran a Meta Conversion Lift study proving 24% incremental lift in app-downloads, securing next-stage funding approvals.
Optimized retargeting pools using geographic split tests, scaling true incrementality from 1.1x to 1.8x ROAS.
Everything you need to know about our incrementality and lift testing systems.
