Distinguish irrelevant from merely unconverted
A search can fail to convert because the landing page is unclear, the offer is wrong or the outcome has not matured. None of those automatically makes the query irrelevant. Read the query and investigate customer fit before adding an exclusion.
Create categories such as employment, unrelated products, unsupported locations or services you do not provide. Keep exclusions based on uncertain intent separate from obvious mismatches so the team can revisit them.
Choose the scope deliberately
| Exclusion scope | Appropriate use |
|---|---|
| A narrow ad group | A query belongs elsewhere in the same account. |
| A campaign | The task does not fit that campaign's offer. |
| A shared or wider list | The query is consistently irrelevant across the applicable business scope. |
| No exclusion yet | The query might be suitable but the journey needs investigation. |
Build a review routine
- Review search terms with meaningful cost or repeated irrelevant intent.
- Record the reason for each proposed exclusion.
- Choose the matching behavior and level required to remove that task.
- Check related useful queries that could also be affected.
- Revisit lists when the product, audience or geographical scope changes.
Negative matching does not behave identically to positive keyword matching. Consult the current platform documentation for the specific match type rather than assuming an exclusion will cover every related wording.
Worked example: avoid a broad mistake
Illustrative example: a business sells paid editable templates and sees searches for “free editable template.” An exclusion for the relevant free-seeking task may be sensible. Excluding the single word “template” would remove the very category the business serves.
Similarly, a software business that offers a free trial should not automatically exclude every search containing “free.” The intent might be a legitimate evaluation path. The right decision depends on the offer and downstream customer quality.
Keep an exclusion log
A short log with the query, rationale, scope and date makes later diagnosis easier. When volume falls unexpectedly, the team can inspect recent changes instead of assuming auction demand disappeared. It also prevents two people from applying contradictory rules.
Should competitor names always be excluded?
No universal rule applies. Decide whether that demand fits your strategy, applicable platform rules and honest comparison approach. Avoid accidental brand confusion.
How often should lists be reviewed?
Use a frequency that reflects spending and query volume. Review sooner after a new campaign or major targeting change, then adjust the routine to the actual flow of evidence.
Put this into practice
Audit your broadest exclusions first. For each one, identify the customer task it removes and at least one useful query you need to preserve.
Primary-source reading for platform details: Google Ads: negative keywords.
Related foundation: Google Ads for SaaS: a practical search campaign framework. How these guides are prepared.
Ayoub Mouhachtt
Growth & performance marketing. Explore the portfolio and working background.
Related portfolio work: eGrow. The worked examples in this guide are illustrative and are separate from the portfolio’s project evidence.