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Advertising & Performance Practical insights

Give AI bidding a margin signal it can actually use

Build a reliable margin-based conversion signal for AI bidding, including fulfilment costs, returns and a controlled transition from order-value reporting.

Revenue is not the same as economic value. A campaign can increase order value while favouring expensive-to-deliver products with little contribution left over. Google’s measurement updates emphasize first-party signals and profitable growth. [1] For advertisers considering value-based bidding, the practical work starts with defining a trustworthy value signal.

Agree the value with finance

Choose a consistent contribution definition, such as net sales excluding tax, less product cost, expected returns and variable fulfilment costs. Specify which costs are included and when the estimate is updated. This is an operating definition for the experiment, not a substitute for financial reporting. Keep confidential unit-cost details in approved systems rather than placing them in an unrestricted AI prompt.

02 / 03From insight to approach
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Test two orders that look similar

Imagine two orders with the same selling price. One ships in a standard parcel; the other needs costly specialist delivery. Their advertising value may differ materially. Use synthetic examples to verify that the pipeline preserves that difference, handles discounts correctly and uses the intended currency. Reconcile a sample of real orders in a permitted environment before sending the signal to an ad platform.

Avoid changing the ruler unnoticed

Retain revenue and contribution as separate reporting fields. If the conversion-value definition changes, annotate the date and explain why historical return-on-ad-spend figures are no longer directly comparable. Document how delayed returns and cancellations are handled using supported adjustments. An elegant formula will not help if the platform receives duplicate or stale events.

03 / 03From evidence to decision
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Evaluate the transition

Introduce the new objective through a controlled comparison where feasible. Review contribution after advertising, order mix and total customer demand, allowing for normal conversion delay. Watch for a system concentrating on a narrow set of high-margin products that cannot sustain growth. Scale only when the signal remains reliable and the resulting commercial trade-off is acceptable to both marketing and finance.

Sources and evidence
  1. Google measurement and data updates

Sources checked on 4 October 2026. Proposed workflows and hypothetical examples are editorial analysis.

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