Search Term Reports: Goldmines Hidden in Your Data
The search terms report is the most underused asset in Google Ads. Marketers open it once a quarter, scan for obvious negatives, close it. Buried inside is the actual voice of the customer — every literal query that triggered an ad, with conversion data, with cost data, with time-of-day data. Mined systematically, it reveals new product opportunities, untapped keyword themes, brand misconceptions, and content gaps your competitors haven’t noticed.
This guide is the systematic workflow for extracting value from search term reports.
What search term reports show
In Google Ads → Tools → Reports → Predefined Reports → Search Terms, you see:
- Every literal query that triggered an ad (subject to privacy thresholds)
- Match type that captured it
- Clicks, impressions, CTR
- Cost per query
- Conversions and conversion value per query
- Average position
- Quality Score signals
The report is comprehensive within privacy constraints (queries with very low volume get aggregated for user privacy).
The five gold-mining motions
1. Negative keyword discovery
The classic use. Filter for:
- High-spend queries with zero conversions
- Queries with conversion rate <10% of campaign average
- Queries that obviously don’t match your audience
Add as negatives. Recover 5-15% of spend typically.
Covered in detail in our negative keywords article. The basics are essential but only the start.
2. New keyword theme discovery
Filter for high-converting queries that aren’t your current target keywords. Patterns to look for:
- Queries with unexpected modifiers (e.g., you target “google ads agency” but high-converters say “fractional google ads management”)
- Queries with industry-specific phrasing (e.g., “performance max for healthcare”)
- Geographic specificity (“seo agency for new york startups”)
- Use case specificity (“google ads for series A SaaS”)
Each of these is a new ad group, campaign, or content opportunity.
Add the high-converting variants as new exact-match keywords for tighter control. Build dedicated landing pages where the variant has 50+ conversions.
3. Voice-of-customer mining
Beyond keyword discovery, search term reports show how customers describe their problem. This is gold for:
Content strategy: blog posts that use customer phrasing rank for queries competitors who use industry jargon miss.
Ad copy: ad headlines using customer language outperform industry-speak.
Landing page hooks: hero copy that reflects exact customer queries converts higher.
Product naming and feature descriptions: customers describe features in different language than product teams. Bridge the gap.
Mine queries with high CTR but low conversion. Those are users who almost converted but didn’t. Reading those queries tells you what they expected vs. what they found.
4. Brand misconception identification
Branded queries reveal what customers think your brand does (vs. what you actually do). Patterns:
- Queries asking about features you don’t have (product gap or marketing miscommunication)
- Queries combining your brand with competitors (positioning opportunity)
- Queries asking about specific industries you don’t serve (potential market expansion or rebranding needed)
- Queries with negative sentiment (reputation issues)
Each pattern surfaces a strategic insight. Many product roadmap conversations should start with the previous quarter’s brand-related search term report.
5. SEO opportunity discovery
PPC search terms = SEO target candidates. Patterns:
- Queries you pay for repeatedly that you don’t rank organically: SEO content brief
- High-CTR queries: terms users definitely care about
- Long-tail queries with clear intent: ideal organic content targets
Build SEO content for these. Eventually you stop paying for queries you can rank for organically — pure margin improvement.
A systematic monthly workflow
The discipline that makes this work:
Monday morning of first week each month: pull last 30 days of search term reports for all major campaigns.
Hour 1: scan for negative keyword opportunities. Add aggressively.
Hour 2: identify top 10 new keyword themes (high-converting variants not currently targeted). Document.
Hour 3: scan for voice-of-customer patterns. Note language patterns and unmet expectations.
Hour 4: flag SEO content opportunities. Add to content backlog.
End of session: brief team summary — key findings, actions taken, content briefs created.
Four hours per month. Compounds across months. Most marketing teams skip this entirely.
What to pay special attention to
Three categories of queries deserve extra scrutiny:
1. High-cost, no-conversion queries
If you’ve spent $500 on a specific query in 30 days with no conversions, two options:
- Add as negative (kill it)
- Investigate why it doesn’t convert (landing page mismatch, intent mismatch)
2. High-conversion, low-volume queries
Queries with 5+ conversions but only 50-100 impressions are hidden winners. Push them with exact-match targeting and dedicated ad groups to scale.
3. Repeated themes
If you see 8-12 variations of the same theme (e.g., different phrasings of “marketing for series A startups”), that’s a real keyword cluster. Build a dedicated campaign or landing page for it.
Performance Max search terms
PMax has limited search term reporting — by design, Google wants you to trust the algorithm. Available views:
- Insights → Search Themes (aggregate categories Google detected)
- Search Terms Insights report (more detailed, accessible via UI or API)
Less granular than Search campaigns but still valuable. Mine for:
- Themes you wouldn’t have targeted manually (positive surprise)
- Themes that don’t match your ideal audience (add to brand exclusions or negative keyword list)
- Patterns informing your Search campaigns
Tools that help
For account-level analysis at scale:
Google Ads natively: filter and export. Free.
Optmyzr, Adalysis, AdEspresso: paid tools with automated search term recommendations.
Custom scripts: Google Ads scripts to flag high-cost, no-conversion queries or repeated themes.
Looker Studio dashboards: visualize search term performance trends over time.
For most accounts, Google Ads native + occasional Excel/Sheets analysis is sufficient.
Common search-term mining mistakes
1. Treating it as one-time work. This is monthly hygiene, not a quarterly project.
2. Only looking at negatives. Missing the positive discovery (new keywords, voice of customer, SEO opportunities).
3. Not sharing findings. Search term insights should feed content strategy, product roadmap, sales messaging. Keep them in PPC silo and the value diminishes.
4. Ignoring low-volume queries. Some of the highest-converting queries have tiny volume but reveal niche customer language worth scaling.
5. Acting on one month of data only. Some patterns require 60-90 days to be reliable. Don’t overweight short-window data.
6. Ignoring branded queries. Brand misconception patterns are strategic gold, easily missed in routine PPC optimization.
7. Letting Smart Bidding’s broad-match expansion drive your decisions without review. Smart Bidding expands queries algorithmically. Without periodic search term review, you accept whatever the algorithm decides. Use search term reports as oversight.
A 30-day search term mining habit
Week 1: Pull last 90 days of search terms across all campaigns. Spend 4-6 hours doing a deep first pass.
Week 2: Add negatives. Build new exact-match keyword lists from positive discoveries.
Week 3: Use voice-of-customer insights for ad copy refresh. Test new headlines.
Week 4: Brief 3-5 SEO content pieces from queries you don’t rank for organically.
After month 1, the ongoing cadence becomes weekly (30-60 minutes) or monthly (3-4 hours of deeper analysis).
Frequently asked questions
Why doesn’t Google show all search terms anymore? Google withholds low-volume queries for user privacy. You see queries with sufficient impression volume.
How do search term reports compare to Search Console? Search Console shows queries that earned organic clicks (or impressions). Search term reports show queries that triggered paid ads. Different data sources; both valuable.
Can I export search term reports automatically? Yes — Google Ads API supports automated reporting. Most teams use weekly automated pulls into Sheets or BigQuery.
Are search terms different by campaign type? Yes. Search campaign terms are very granular. Performance Max terms are more aggregated. Display terms are less query-focused (more about placements).
Should agency clients see raw search term reports? Yes — full transparency. Hiding search term data from clients is a red flag in agency relationships.
Search term reports are the most under-utilized data Google Ads gives you for free. The four hours per month you spend mining them returns 10-20× in optimization, content opportunities, and strategic insight. The accounts we audit that have systematized this beat accounts that haven’t on nearly every metric. Build the habit; the compounding starts immediately.