Austin Harrison and Sean Frank discuss how incrementality testing can cut waste and challenge common myths about test duration and data accuracy.
Austin Harrison and Sean Frank discuss how incrementality testing can cut waste and challenge common myths about test duration and data accuracy.
A data-driven breakdown of eight real-world incrementality tests performed on AppLovin to determine if the platform generates true incremental demand.
A comparison of Meta’s new Incremental Attribution Tool against other methods, featuring results from three separate internal tests and geo-holdout experiments.