Retail media gives brands access to hard shopping data and a clearer view of sales impact. But even the best tools will not work without well-defined KPIs. How should teams set retail media KPIs so they avoid attractive-looking reports and focus on business outcomes?
Why retail media KPIs need a different approach
Retail media is not classic display and it is not only a brand campaign in social media. It is advertising embedded in a shopping context: apps, e-commerce, marketplaces, and retailer environments. The user is planning or making a purchase, so the campaign is closer to the decision than in most digital channels.
This means that KPIs should be connected with the funnel stage in which the campaign operates. Awareness campaigns need different indicators than campaigns focused on sales and ROAS.
Start with the business goal, not the metric
A common mistake is to start with a number such as "let us set CTR at 1%". CTR can be useful, but it is not a business goal on its own. It does not tell you whether the campaign influenced sales.
Before choosing KPIs, answer a few questions:
- Do we want to increase sales of a specific SKU?
- Do we need to support distribution in a new retail chain?
- Are we building awareness of a new brand in the category?
- Do we want to increase the brand's share of basket?
Only then should the KPI set be selected.
Match KPIs to the funnel stage
Upper funnel: awareness
If the goal is brand visibility, KPIs may include reach, impressions, viewability, and CTR as a supporting signal. In retail media, even awareness has an additional layer: the ad appears in a shopping environment, so it is closer to sales than classic display.
Example: a new beverage brand enters a national retail chain. The KPI may be reaching 300,000 users of shopping apps in locations where the product is available.
Mid funnel: consideration
At this stage, deeper interactions matter: product clicks, brochure opens, add-to-list actions, and time spent with the offer. In shopping apps, adding a product to a list is a much stronger signal than a simple click because it reflects purchase intent.
Example: a coffee brand sets a KPI of 50,000 add-to-list actions during a retail media promotional campaign.
Lower funnel: conversion and sales
Here the key indicators are hard metrics: ROAS, estimated sales, cost per add-to-list or add-to-cart, growth in brand share of basket, and sales uplift in a retailer when sell-out data is available.
This is where retail media is strongest. First-party data can help estimate the real impact of a campaign on purchase behavior.
Watch out for metric inflation
Not every high number means success. CTR can vary depending on how a platform defines a click; some systems may count accidental interactions. When evaluating performance, teams should look not only at the metric, but also at the methodology behind it.
In retail media, it is especially important to ask how clicks are defined, whether real interactions are reported, and whether the data comes from first-party sources. Methodology transparency should be part of the conversation with the publisher.
KPIs and the specifics of FMCG categories
In FMCG, purchase decisions are quick and often repeated. KPI planning should therefore include purchase frequency, seasonality, retailer promotional cycles, and location. A good KPI should be connected with purchase intent, not only with a click.
Five rules for setting retail media KPIs
- Always start with the business goal.
- Match KPIs to the funnel stage.
- Do not rely only on CTR.
- Check the measurement methodology.
- Combine soft indicators, such as engagement, with hard indicators, such as ROAS and sales.
Summary
Setting KPIs in retail media is not about choosing one perfect metric. It is about matching measurement to a real business goal. Retail media offers something many other channels lack: the ability to connect campaign activity with actual shopping behavior.
Well-designed KPIs help teams optimize budget with data, measure sales impact, and close the shopping funnel. If you need KPIs adjusted to your category and distribution model, the Listonic Ads team can help choose indicators that work for sales, not only for a report.
