LiftLedger

LiftLedger is a web app (with optional lightweight desktop agent) that helps marketers measure true incremental impact across channels using practical experimentation and causal inference. It guides teams to run geo-split tests, time-based holdouts, and audience holdouts without needing a data science team, then translates results into budget recommendations. The product connects to ad platforms (Meta, Google, TikTok, Amazon Ads), web analytics, and a warehouse to pull spend and outcome data, then automates experiment design, power checks, and guardrails to avoid invalid tests. It outputs a simple “incremental ROAS” and confidence intervals per channel, plus a plain-English explanation of what changed and why. This is an AI + traditional app: AI assists with experiment setup, anomaly notes, and executive-ready summaries, but the core value is rigorous measurement. Realistically, it will face sales friction because it challenges existing attribution narratives.