Clean up search terms and build a negative keyword list
A review of your paid search terms report with negatives to add, keywords to promote, and wasted spend to cut.
The prompt
Help me review my paid search terms report.
Business and what we sell: [PRODUCTS/SERVICES, and what we don't offer]
Locations served: [AREAS]
Search terms report: [PASTE: search term, matched keyword, match type, clicks, cost, conversions, conversion value]
Target CPA or ROAS: [NUMBER]
Current negative lists: [PASTE or "none"]
Do this:
1. Group terms by intent: buying, researching, wrong product, job seekers, free/DIY, competitor brand, support or existing customers, irrelevant locations.
2. Flag wasted spend: terms with cost above [e.g. 2x target CPA] and no conversions, and irrelevant terms at any cost.
3. Recommend negatives with the right match type and level (campaign vs. account list), and warn when a negative would block good traffic (e.g. "cheap" blocking "cheap [our product]").
4. Find converting terms not yet added as keywords and suggest match type and ad group.
5. Spot themes that need their own ad group or landing page.
Return:
- Table 1: Negative keyword | Match type | Level | Reason | Spend saved.
- Table 2: New keyword | Match type | Ad group | Evidence.
- Total wasted spend identified, calculated only from my data.
- A monthly routine to keep the list clean in 20 minutes.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Marketing & Brand prompts
What to fill in
- PRODUCTS/SERVICES, and what we don't offer
- AREAS
- NUMBER
- PASTE or "none"
- e.g. 2x target CPA
- our product
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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