admetrics

What it does

Admetrics provides attribution and conversion measurement tools for e-commerce businesses and digital marketing teams who need clearer crediting across channels and more robust conversion reporting. Multi-touch attribution and journey reporting Admetrics offers a configurable multi-touch Data Studio where teams can apply and compare multiple attribution models (first touch, last touch, linear and others). The interface is presented as a reporting layer for inspecting how touchpoints across the customer journey share conversion credit and for comparing the effects of different model choices and lookback windows. Server-to-server tracking and conversion forwarding The product supports server-side (S2S) event forwarding to send conversions from merchant servers to ad platform APIs rather than relying solely on client-side pixels. Documentation includes guides for connecting to major ad platform APIs and examples for Shopify merchants to preserve measurable conversions in environments with restricted browser signals. AI-driven audiences and Quantify engine Admetrics documents AI features for building predictive audiences (lookalike/remarketing) and a Quantify Engine that applies Bayesian methods for creative and experiment analysis. These features are described as ways to estimate contribution, inform targeting segments and feed audience or campaign workflows. Marketing Mix Modeling (PRISMA MMM) A separate PRISMA MMM capability is offered to model broader channel effects and halo impacts beyond direct attribution windows, positioned as complementary to the multi-touch Data Studio for omnichannel budget analysis. Privacy, configuration and measurement tradeoffs Admetrics documents privacy- and configuration-related limits: platform privacy changes, consent choices, session definitions and lookback windows affect attribution results. The product encourages comparing models and understanding how configuration choices influence reported credit rather than presenting a single definitive model.