The playbook
Display Advertising: Worked Examples
The following display advertising examples illustrate how to move from an observed problem to a practical decision. They are hypothetical operating scenarios, not customer results or performance benchmarks. The central question is whether the work helps improve qualified visits from approved placements without losing the context needed to judge it.
Put the task in context
Review where ads run as well as how many impressions they receive. Check mobile readability, accidental-click risk, and post-click behavior. Use placement and audience feedback to decide whether the campaign is reaching a relevant context.
Example 1: establish a usable starting point
A team begins working on display advertising but cannot consistently describe placement and asset for the same item. The immediate task is define the campaign's audience and role. The team records the current state, identifies the source of each value, and resolves conflicting information before making a broader change.
The useful output is a campaign or conversion record that another person can interpret. This example does not require assuming an uplift. Success at this stage means the next decision can be made using a shared set of facts, with missing information explicitly identified.
Example 2: correct a specific failure
In a second situation, the team observes buying broad impressions without checking where ads appear. It proposes the correction: review placement relevance exclusions and downstream quality. Before applying that correction everywhere, the owner checks whether the same cause is present in other affected items. A common symptom alone does not prove that all items need the same repair.
| Decision | Illustrative reasoning |
|---|---|
| Observation | Buying broad impressions without checking where ads appear |
| Likely correction | Review placement relevance exclusions and downstream quality |
| Verification task | Create clear assets for supported sizes |
| Result to inspect | Review placement quality and meaningful post-click outcomes |
After the change, the owner repeats the relevant task and records what happened. If the condition remains, the team returns to the evidence rather than declaring the process complete. The example illustrates a repair cycle; it does not claim a particular commercial result.
Example 3: extend a process after it works
A third team already has reliable records for a small scope and wants to expand. It compares the next group with the first: are placement, asset, offer defined in the same way, and does the intended outcome remain qualified visits from approved placements? Differences are written down before the earlier process is reused.
Expansion is appropriate when the assumptions still hold and an owner can review exceptions. Where the new group has different needs, the team adapts the process and tests again. Reusing the structure is useful; reusing a conclusion without checking its conditions is much less reliable.
Apply the examples to your own work
- Write the current problem in observable terms using placement.
- Choose which of the three examples matches the stage of the work.
- Complete this action first: define the campaign's audience and role.
- Keep the resulting evidence and review qualified visits from approved placements on a consistent basis.
Choose an observation period that reflects the buying process. Immediate clicks, later inquiries, and completed sales happen at different times. Keep the attribution window and any incomplete outcomes visible when comparing campaigns.
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