Frameworks & Guides

Step-by-step framework for building a measurement architecture connecting media channels to in-store outcomes. Covers tagging, data sources, and model selection. Structured for teams implementing without a CDP.

Five stages from no offline tracking to full incrementality measurement. Includes diagnostic questions and minimum capability requirements for each stage — useful for gap analysis and roadmap planning.

A structured audit of which digital channels in your mix are currently connected to offline measurement, and which gaps create systematic blind spots in your attribution and budget decisions.

Pre-launch audit for local search, display, and social campaigns. Every item includes the measurement implication if skipped — structured so the business case for each item is visible.

Clear definitions for the technical vocabulary of omnichannel measurement — from footfall attribution to incrementality testing, store visit modelling, and data clean room terminology.

The primary and secondary sources behind the benchmark data published on this site, with notes on methodology, sample scope, and how to interpret the figures for your specific context.

A tactical guide to GBP features with documented impact on in-store visit rates: categories, service attributes, photo strategy, post types, and Q&A management.

A step-by-step configuration guide for Google Ads offline conversion import — covering the data requirements, file format, upload frequency, and common setup errors.

A method for calibrating platform-reported Store Visit data against independent signals (POS, loyalty, footfall counters) — to understand the accuracy profile for your specific locations.

How to design and execute a geographic holdout test to measure the true incremental footfall impact of your campaigns — without a dedicated measurement platform.