Choose Control Group Before Campaign: Define eligible pool using retailer, geography and audience rules.; Randomly assign units before seeing campaign outcomes to reduce bias.; Preserve comparison by agreeing analysis population in advance.
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Incrementality Testing

Part of Retail media incrementality tests

Choosing a control group before a campaign begins

Choose an eligible retail media control before launch, with documented assignment, comparable outcomes and checks for exposure spillover.

Select the control from people or locations eligible for the proposed retail media, then decide who will be withheld before launch. People who did not see an advert may differ in buying intent, so assembling a control afterwards can misstate lift.

Define the eligible pool

Record the campaign’s retailer, products, geography, audience, placement and dates. Apply the same eligibility rules when forming treatment and control groups. If only account holders or certain locations can receive the media, the result will concern that eligible pool. State who is outside it.

Choose an assignment unit that fits the media. Shopper or household assignment may suit addressable ads if withholding and sales measurement work for both groups. Location assignment may suit media that cannot be withheld person by person.

For store media, first qualify comparable locations using pre-campaign sales, product availability and planned commercial activity; location selection needs its own assessment.

Treatment vs Control Group Considerations

Assignment Unit
Shopper/household for addressable ads; location for store media
Eligibility Criteria
Consistent across both groups: includes account holders, specific geographies, product availability
Matching Factors (if not random)
Pre-campaign sales levels, trends, stock, store format, prices, promotions

Select the method before outcomes are known

Where feasible, randomly assign eligible units and retain the assignment record. Inspect pre-campaign characteristics for material imbalance. Randomisation helps reduce selection bias, but it does not prove that later delivery, withholding or measurement worked.

If random assignment is unavailable, set matching criteria before seeing campaign outcomes. Relevant characteristics may include pre-campaign sales levels and trends, product range, stock, store format, prices and promotions. For shopper comparisons, use only suitable prior behaviour available for the study. Document differences that remain; similar recent sales alone do not make groups equivalent.

Preserve the comparison

Agree the primary analysis population in advance. When treatment assignment gives shoppers an opportunity to receive ads, compare the assigned groups as planned. Do not silently replace the treatment group with only people who received an impression: exposure can depend on shopping behaviour related to purchasing.

Ask how the study will detect control exposure elsewhere, treatment delivery failures and unequal sales coverage. Record other campaigns and promotions likely to affect either group. Show exclusions and changes in group size in the final analysis.

Before booking, keep the eligible-pool definition, assignment method, intended outcome, analysis dates and expected delivery checks together. If withholding, comparable outcome measurement or the control’s construction cannot be explained, redesign the study or ask a narrower question before treating a later sales difference as uplift.

Key Metrics to Monitor in Incrementality Testing

Pre-campaign sales trend
Used to assess balance between groups
Product availability
Must be comparable across locations
Store format
Affects purchasing behaviour and must be matched
Promotion history
Can influence baseline sales; track separately

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