What is offline attribution in simple terms?

It answers which offline actions, such as a screen, an end cap or a flyer, led to sales in the store, and how much each one contributed.

How is offline attribution measured in a store?

Shoppermotion records which placements each anonymous trolley or basket path passed, whether it reached the promoted bay, and whether the matched receipt includes the product. Exposed trips are compared with a non-exposed control group to isolate the incremental sales.

What is the most common attribution model?

Last-touch attribution. It is simple and easy to explain, but it ignores everything before the final touchpoint, which in retail usually means ignoring in-store media.

Does in-store attribution need personal data?

No. Shoppermotion tags the trolley or basket, not the person, and matches the trip with its anonymous ticket. It is GDPR compliant by design.

What is offline attribution in marketing?

It measures how offline marketing, such as TV, print, flyers or in-store media, contributes to sales. Common methods are surveys, before-and-after comparisons, tracking codes and modelling; in store, closed-loop matching with the receipt is the most precise.

Offline attribution: definition, models and in-store use

Q: What is the difference between online and offline attribution?

Online attribution follows clicks and cookies. Offline attribution has to connect exposure in the physical world with a purchase at the till, which traditionally required surveys, coupons or statistical models.

Offline attribution

Offline attribution is the measurement of how offline marketing, such as in-store signage, flyers, print, radio or TV, contributes to sales in physical stores. In store, it is most precise when each shopper's exposure to a placement is matched with the receipt of the same trip.

Offline marketing attribution: methods and models

Offline marketing attribution is how a business works out which offline actions, such as TV, radio, print, flyers, in-store signage or screens, led to sales, and how much each one contributed. There are four common methods. Surveys and focus groups ask customers what influenced them. Before-and-after comparisons set sales during a campaign against a previous period. Tracking codes, such as unique coupons, tie a purchase to a specific piece of media. Attribution modelling and marketing mix modelling estimate each channel's contribution statistically, using models such as first-touch, last-touch, linear or time-decay. Each method answers part of the question, but none sees what happens between the ad and the shelf. In a store, the most precise approach is closed-loop: record whether each shopper passed the placement, match that trip with its receipt, and compare exposed shoppers with a similar group that was not exposed. See how it works in Offline Attribution.

Offline attribution links marketing activity to sales that happen in physical stores, so each campaign or placement gets credit for the purchases it influenced. Online attribution follows clicks and cookies; offline attribution has to connect exposure in the physical world with a purchase at the till.

Retailers traditionally measure it with surveys and focus groups, before-and-after sales data, or tracking codes such as unique coupons. Each method answers part of the question, but none sees what happens between the ad and the shelf. Modelling attribution (attribution modelling and marketing mix modelling) estimates the contribution of each channel, but it depends on data quality, carries uncertainty and has to infer the step between exposure and purchase.

The main attribution models are first-touch, last-touch, linear and time-decay. Last-touch is the most common because it is simple, but it ignores everything that built the intent before the final touchpoint, which in retail usually means ignoring in-store media altogether. Our offline attribution guide compares them with a worked example.

Shoppermotion observes the missing step. Tags on trolleys and baskets record whether each shopper passed a placement, slowed down to look or stopped to engage, and at checkout the trip is matched with its ticket. Comparing exposed shoppers with a matched group that was not exposed gives the incremental sales and ROAS of each campaign. This is closed-loop attribution; read more in offline attribution for retail media.