Targeting
Why broad targeting wins, what retargeting actually does, and first-party data.
Targeting is the most misunderstood part of paid media. Intuition says that narrowing the audience improves accuracy. In practice the opposite holds: narrowing shrinks the model's search space, raises cost, and slows learning.
Why broad targeting wins
Interest layers are a very coarse summary of what the platform knows about a user. When you say "ages 30–45, interested in fitness", you constrain a model that could already work from far finer signals. Narrow audiences also mean:
- Higher CPM, because auction competition is denser
- Frequency climbing fast, so creative fatigues sooner
- Lower weekly conversion volume, so the learning phase never ends
The practical approach: leave targeting as broad as possible (country, language and legally required restrictions aside) and let the creative do the sorting. If you want to reach a specific segment, produce an ad that depicts that segment rather than narrowing the audience box.
There are exceptions: regulated categories, geographically limited services, and very high-ticket B2B offers still need explicit constraints.
Audience types and what they really do
| Type | Source | Real function |
|---|---|---|
| Broad | Platform model | The main source of new-customer volume |
| Lookalike | Your customer list | A bridge when broad is not performing |
| Retargeting | Site visitors, cart abandoners | Bringing back the undecided |
| Customer list | CRM data | Cross-sell, retention, exclusion |
| Exclusion | Existing customers | Protecting the acquisition budget |
The exclusion list is the most-skipped and cheapest win. If you do not exclude customers who purchased in the last 60–90 days from your acquisition campaign, your new-customer cost will look better than it is — while real growth slows.
Sizing retargeting correctly
Retargeting always shows the highest ROAS in the dashboard, because it advertises to people already close to buying. That is not a measure of success; it is selection bias.
In a healthy account, retargeting should not exceed 10–20% of total budget. A growing share is usually a sign that the top of the funnel has dried up: with no new visitors arriving, you are showing more ads to the same people.
How to check: pause retargeting for two weeks. If total revenue does not drop meaningfully, move the budget to acquisition.
First-party data
As third-party cookies narrow, the data you own has become an asset that converts directly into media performance.
| Data | How it is collected | Where it helps |
|---|---|---|
| Email and phone | Checkout, accounts, newsletter | Match quality, lookalikes |
| Purchase history | Order system | Value-based segments, cross-sell |
| Site behavior | Server-side events | Optimization signal |
| Survey response | "How did you hear about us?" | Cross-checking channel contribution |
A one-question post-purchase survey is the cheapest measurement tool you can set up. It does not replace attribution, but it exposes the systematic errors in platform reporting.
Audience–creative fit
Showing the same ad at every stage of the funnel is a common loss. The message has to match what the user already knows:
| Stage | User's state | Message that works |
|---|---|---|
| Unaware | Has not named the problem | A scene or story showing the problem |
| Problem-aware | Looking for a solution | Positioning the solution category |
| Solution-aware | Comparing alternatives | Comparison, proof, demo |
| Product-aware | Knows you, still hesitant | Reviews, guarantee, offer |
The first two rows work in broad acquisition; the last two work in retargeting. Brand Brain builds this mapping from your brand's own audience data.