归因与分析
Measured
Measured 是营销测量平台，融合增量性实验、媒体组合建模（MMM）和多触点报告，用地理与受众留存实验校准各渠道真实贡献，帮助品牌据此重新分配预算。
主要用途
Measured answers a single question for paid-media teams: how much incremental revenue did each channel actually cause? It runs continuous geo holdout and audience-based experiments that switch spend off in matched markets, then measures the lift against control to estimate true incrementality. Those experiment results calibrate a media mix model covering the full channel portfolio, including channels too small to test directly, and produce saturation curves showing where the next dollar is wasted. A unified dashboard reconciles experiment, MMM, and platform-reported numbers so analysts can see where last-click overcounts. Outputs feed budget planning scenarios, letting teams shift spend toward channels with proven marginal return rather than inflated platform attribution.
所在链路
Measured sits at the analytics stage, layering incrementality and mix modeling on top of pixels and platform reporting to validate where spend truly pays off.
核心功能
- Continuous geo and audience holdout incrementality tests
- Experiment-calibrated media mix modeling across all channels
- Saturation curves showing diminishing returns by channel
- Reconciliation of experiment, MMM, and platform-reported results
- Budget planning scenarios built from calibrated contribution
适合谁用
- DTC and retail brands spending across many paid channels
- Teams replacing last-click with experiment-backed measurement
- Marketers planning budget reallocation by marginal return
新手提示
- Expect incrementality numbers below platform-reported conversions, because holdout tests strip out the credit each channel claims for itself.
- Give geo experiments enough time and spend contrast to read a clean lift, since underpowered tests produce noisy results.
- Use saturation curves to find over-funded channels before chasing new ones, as cutting waste often beats adding budget.