Key points:
- Search Match can match your ad to a wide range of related terms, some of which will never convert for your specific app.
- Negative keywords block your ad from showing for a specific term entirely, stopping wasted spend at the source.
- The Search Terms report shows the actual queries triggering your ad. That’s where real negative keyword candidates come from, not guesswork.
- Add negatives based on real data, one at a time. Too broad a negative can block searches you actually wanted.
You check your Apple Search Ads spend and a chunk of it went to searches that were never going to convert. Negative keywords are the setting built to stop exactly that, and most campaigns barely touch it.
Where the wasted spend comes from
Search Match, Apple’s automatic targeting mode, matches your ad to a broad set of terms it judges related to your app. Broad is the operative word. A budgeting app might get matched to “budget” searches with no financial intent at all. A game with “solitaire” in its name might get matched to unrelated card game searches. None of this is a bug. It’s just what automatic matching does without a check on it.
| Without negative keywords | With negative keywords |
|---|---|
| Ad shows for every related term Search Match finds | Ad is blocked from specific terms you’ve ruled out |
| Budget spent on searches that never convert | Budget concentrated on relevant searches |
| No record of what’s actually wasting spend | Search Terms report shows exactly what to block |
How to actually find what to block
Your Search Terms report lists the real queries people typed before your ad appeared. That’s the actual data, not a guess. Scan it for three patterns: searches with clearly different intent than your app serves, searches for a competitor’s exact brand name if you’re not deliberately bidding on it, and broad terms pulling in volume with zero installs behind them.
Add negatives from that list, one at a time, and keep watching the report. A term that looked wasteful on day one might convert differently once you’ve collected more data. Going too aggressive too fast, adding a long list of negatives before you have real search term data, risks blocking legitimate searches you actually wanted.
Real-world scenario: A meditation app running a Search Match campaign noticed a steady stream of impressions and clicks with almost no installs. Checking the Search Terms report showed a pattern: a chunk of clicks came from searches for a specific competitor’s brand name, and another chunk came from generic “sleep sounds” searches with a completely different use case in mind. They added both as negative keywords over two weeks, watching install rate after each change. Their cost per install dropped as spend concentrated on searches that actually matched what their app did.
What to actually do about it
- Check your Search Terms report weekly, not just when spend feels off. Wasted spend accumulates quietly if nobody’s looking at the actual queries.
- Add negatives based on real data, not assumptions. A term you assume is irrelevant might already be converting. Let the report tell you.
- Go one negative at a time when you’re not sure. A broad negative added too fast can block real, converting searches along with the bad ones.
- Recheck old negatives occasionally. A term that wasted spend six months ago might behave differently after an app update or a new feature.
AppRankr’s ASO Inspector shows you the real keywords your listing already ranks for organically, a useful cross-check before you decide which paid searches are actually worth bidding on at all.