A Purchase Is Not a Bigger Basket

The subject here is the set of sales outcomes that can follow exposure to in-store digital signage. The focus is the difference between a higher chance of buying the featured product, spending among those who buy, broader brand or category movement, and the timing of the purchase. Keeping those outcomes separate lets you state what the study reports about value without turning one positive result into a claim about every part of the shopper's basket.

The distinction is more than accounting language. “Sales went up” can describe several different changes. More shoppers may have bought the advertised item. Existing buyers may have spent more. Other products from the same brand may have moved. A purchase that would have occurred next month may have happened this week. Each change matters for a different business decision, and each needs a different denominator and observation window.

A Higher Chance of Buying Does Not Mean More Spent

The field study reports that digital signage increases the likelihood of purchasing featured products by 8.1%. That headline concerns purchase incidence: whether a shopper buys the item featured in the message. It does not describe the amount spent by a shopper who buys. The study's abstract makes the distinction explicit by reporting that, unlike price promotions, digital signage does not affect spending for those who purchase the products.

A simple hypothetical makes the difference visible. Imagine that 100 eligible shoppers are observed. If a campaign causes more of them to choose the featured product, purchase incidence rises. Now suppose the shoppers who do buy spend the same amount on that product as buyers in an otherwise comparable situation. The campaign may have changed the number of buyers without changing spending conditional on buying. A report that calls this “larger baskets” has changed the outcome.

In broad terms, product revenue can be thought of as the number of purchasers multiplied by the amount associated with each purchase. That relationship is useful for diagnosis, but it is not a finding about this study's exact revenue model. It shows why the two factors should be reported separately. A change in the first factor can coexist with a flat second factor. Conversely, average spending can rise even if the number of purchasers does not. A single sales total cannot tell the reader which component moved.

This matters for how a brand evaluates the campaign. If the objective is to get more shoppers to try a featured product, purchase incidence may be the appropriate first outcome. If the objective is to increase basket value, the analysis must examine spending among purchasers or total basket spending. If the objective is to improve margin, revenue is still not enough; margin, discounts, and media cost would be needed. The accessible study record does not provide those economic inputs, so the reported purchase-likelihood effect should not be presented as a financial multiplier.

The comparison with price promotions is informative but should also be bounded. The abstract reports that digital signage does not affect spending for those who purchase, unlike price promotions. That describes the study's reported contrast in conditional spending.