Paste search terms. See which ones are wasting your Google Ads budget.
This tool compares search terms against the business context, offer, services, location, and conversion intent. It flags obvious negatives, weak-intent terms, review terms, and searches worth keeping.
Analyze search terms against the business, not a generic keyword list.
A term is not bad just because it has broad wording. It is bad when it does not match the service, location, customer stage, price point, or conversion goal. Add your context first, then paste search terms from Google Ads.
Business context
The URL helps humans understand which page this relates to. For this Elementor-safe version, paste page copy or describe the business so the tool can classify terms locally.
Ready to analyze
Paste terms from Google Ads and the tool will classify them as Keep, Review, or Add Negative based on business fit and intent.
Terms likely to waste spend.
Terms that need judgment or data.
Terms aligned with intent.
How risky the current list looks.
| Search term | Decision | Reason | Negative suggestion |
|---|---|---|---|
| No terms analyzed yet. | |||
How the analyzer makes decisions.
The goal is not to kill every broad search. The goal is to separate terms that can become revenue from terms that only create activity inside Google Ads.
Wrong intent or wrong buyer.
Jobs, free, DIY, templates, classes, definitions, support searches, cheap-only searches for premium offers, unrelated brands, and wrong-service terms usually need to be blocked or isolated.
Could be useful, but needs evidence.
Broad category terms, cost terms, near-me terms, and comparison terms can work if the page, location, bid, and conversion quality support them. They should not be blindly scaled.
Matches service, intent, and market.
Terms that include the actual service, product, location, commercial language, and buying intent are usually worth keeping, especially when lead quality or revenue confirms it.
Why URL context matters.
The same search term can be good for one business and terrible for another. "Bathroom ideas" may be useful for a content campaign, but it is weak for a high-CPC lead gen campaign trying to book renovation consultations. "Cheap bathroom remodel" may convert, but it can be wrong for a premium renovation company that needs higher-budget homeowners. "Interior designer near me" may be a good search for a design studio, but wrong for a furniture ecommerce store.
That is why the tool asks for the URL, services, location, and page copy. Search-term decisions should be made against the business model and offer, not against a universal list of words. A good PPC manager looks at query intent, then asks whether the landing page can satisfy that search and whether the business actually wants that customer.
What a real version with backend crawling could do.
The current version is built to work inside Elementor without external infrastructure. A more advanced version can be built with a small backend that fetches the URL, extracts page title, headings, service language, location signals, price positioning, schema, and page intent. Then it can compare those signals against search terms and return a stronger decision. That is absolutely buildable, but it needs a server endpoint or WordPress plugin code because browsers block direct crawling from a simple HTML widget.
A search term is only good if the business can profit from it.
This tool is a fast first pass. The final decision should also look at CPC, conversion rate, qualified lead rate, sales feedback, revenue, and whether the term belongs in a separate campaign instead of being blocked completely.
Block the obvious leaks.
Jobs, free, DIY, unrelated locations, wrong products, and support queries should not eat budget in commercial campaigns.
Do not mix every intent.
Research, competitor, brand, high-intent service, and broad discovery terms need different budgets and expectations.
Use better conversion signals.
If bad terms are generating form fills, offline conversion tracking helps Google learn which queries become real opportunities.
FAQs about search term analysis.
Can this tool automatically read my URL?
This Elementor-safe version does not crawl the URL because most browsers block direct page fetching from embedded HTML widgets. That is a security limitation, not a design choice. The workaround is to paste the landing page copy or business summary. A fully automated URL crawler is possible with a small backend or WordPress plugin endpoint.
Should every bad term become an exact negative?
No. Some terms should be phrase negatives, some should be exact negatives, and some should move into a different campaign instead of being blocked. For example, research terms may be poor for a lead gen campaign but useful for SEO or remarketing. The tool gives a first-pass decision, but the final negative match type should be chosen carefully.
Why are some terms marked Review instead of Add Negative?
Some queries are ambiguous. Cost terms, near-me terms, broad category terms, and comparison searches can produce good customers in one account and poor leads in another. They need performance data, sales feedback, and landing page context before being blocked.
Can this help with lead quality?
Yes. Many bad leads start with bad or weak search terms. If the campaign buys the wrong intent, the form fill may still happen, but sales quality suffers. The tool helps identify where lead quality may be breaking before the visitor reaches the page.
Want a real search-term cleanup?
Book a strategy call. We will look at your search terms, match types, conversion quality, and campaign structure so you can see what to block, what to keep, and what to separate.
Book a Strategy Call →