Illustrative examples of the kind of results you receive. Your report is built on your own data.
Context
An e-commerce company ran a 6-week ad campaign and wanted to know its true incremental effect on weekly sales.
Estimated effect
+18% weekly sales during the campaign
Estimated cumulative lift of 340k in revenue, with a 95% credible interval of [+9%, +26%]. The effect faded within two weeks after the campaign ended.
Context
A SaaS business raised its subscription price and needed to separate the price effect on new sign-ups from seasonal growth.
Estimated effect
-6% sign-ups, revenue neutral
Sign-ups dipped slightly (-6%, 95% CI [-11%, -1%]) but the higher price kept total revenue on its expected trajectory.
Context
An organization introduced a new operational policy and wanted to verify it actually reduced processing delays.
Estimated effect
-22% average delay
Processing time dropped significantly below the counterfactual forecast (95% CI [-30%, -13%]) and the effect persisted over the following quarter.