Search Term Report Analysis Checklist for Google Ads and Microsoft Ads

Overview

This guide gives you a reusable search term report analysis checklist you can return to before making changes. Instead of scanning queries and reacting to a few obvious outliers, the goal is to review search terms in a structured order: confirm the context, sort by impact, label intent, decide the right action, and document the change.

A good ppc search query review is not just about finding waste. It should help you answer five practical questions:

• Which search terms should become managed keywords?
• Which search terms belong on a negative keyword list?
• Which queries suggest an ad copy or landing page mismatch?
• Which terms indicate a campaign structure problem rather than a keyword problem?
• Which findings should be monitored before action is taken?

This matters in both Google Ads and Microsoft Ads because broad match behavior, close variants, audience layering, automated bidding, and campaign maturity can all affect which queries appear. The exact interface may evolve over time, but the review logic stays useful.

Before you begin, set a few ground rules:

• Review a meaningful date range. Too short, and you may act on noise; too long, and current patterns may be hidden.
• Segment by campaign or theme before making account-wide decisions.
• Use business outcomes, not just click data, where possible.
• Separate one-off oddities from recurring patterns.
• Document why you added a negative or promoted a query to a keyword.

If your account is spread across multiple channels, it also helps to compare search-term findings with a broader reporting rhythm. A weekly channel-level dashboard can make this easier; see Cross-Platform Ads Dashboard: What Metrics to Track Weekly by Channel.

Checklist by scenario

Use the scenario below that best matches the account or campaign you are reviewing. The checklist steps are intentionally practical so you can work through them in the platform interface, an export, or a spreadsheet.

Scenario 1: New campaign or recently restructured account

In an early-stage campaign, your main job is to shape traffic quickly without overreacting to low-volume noise.

1. Confirm campaign purpose. Write down the campaign's primary conversion goal, target geography, offer, and landing page. This prevents mixed judgments later.
2. Pull the search terms by campaign and ad group. Keep brand and non-brand separated. Also separate prospecting terms from competitor or problem-aware terms if those are part of your setup.
3. Sort by spend first. Start with the highest-cost queries, then review clicks and conversions. Cost usually shows where mistakes become expensive fastest.
4. Mark terms as relevant, questionable, or irrelevant. Use a simple label system. Questionable means the term might fit, but the ad or landing page may not serve it well yet.
5. Add obvious negatives. Exclude irrelevant searches tied to the wrong intent, wrong audience, wrong product, job seekers, support queries, research-only traffic, or unrelated modifiers.
6. Promote strong recurring queries. If a search term is consistently relevant and materially important, add it as a keyword in the right theme rather than leaving it unmanaged.
7. Check match type exposure. If too many irrelevant queries stem from a small set of broad terms, tighten coverage instead of only adding negatives one by one.
8. Review ad and landing alignment. When relevant queries underperform, ask whether the issue is message match rather than keyword selection.
9. Log each action. Note date, term, action taken, and reason. This creates a useful history for later reviews.

Scenario 2: Mature campaign with stable conversion history

For a mature campaign, search term analysis checklist work shifts from basic cleanup to precision. You are looking for incremental gains, creeping waste, and opportunities to improve coverage.

1. Compare the current period with a prior baseline. Look for changes in search term mix, not just changes in top-line metrics.
2. Identify converting search terms not yet covered as keywords. These may deserve their own ad group, tailored ad copy, or dedicated landing page treatment.
3. Look for duplicate intent across multiple keywords. If different keywords trigger the same family of queries, your structure may be competing with itself or diluting learnings.
4. Find low-efficiency query clusters. Group weak terms by modifier, category, location phrase, or intent pattern. This often reveals better negative keyword decisions than reviewing single rows.
5. Assess query-to-query consistency. A few good conversions do not always justify a whole cluster if most related searches are low quality.
6. Review assisted performance carefully. Some terms support early research rather than immediate conversion. Do not cut them blindly if they are part of a proven path.
7. Check budget interaction. If a campaign is budget constrained, a search term report can show whether spend is being absorbed by lower-priority queries.
8. Refine negatives at the right level. Decide whether the exclusion belongs at ad group, campaign, shared list, or account workflow level.

Scenario 3: High spend, weak efficiency

When cost rises faster than results, use a stricter query review framework.

1. Filter for highest-spend non-converting terms. This is often the fastest place to start.
2. Separate poor-fit intent from poor-fit execution. A relevant query with weak conversion rate may need a better offer or page, not exclusion.
3. Look for broad modifiers causing drift. Words like free, cheap, jobs, DIY, definition, template, meaning, near me, or competitor names may require deliberate treatment depending on your business.
4. Review device, location, and audience overlays. Sometimes a query problem only exists in a certain segment.
5. Check whether automated bidding is amplifying weak traffic. Smart bidding can only work with the demand it receives. If the query pool is poor, bidding will not fix the root issue.
6. Pause before mass exclusions. Build a negative keyword list carefully, especially if terms overlap with profitable variants. For a deeper process, see Negative Keyword List Guide: How to Build, Organize, and Update It Over Time.

Scenario 4: Seasonal campaigns or changing inventory

Seasonal demand and product availability can make search term patterns shift quickly.

1. Review recent query language before the season starts. People may search by urgency, delivery expectations, occasion, or product constraints.
2. Flag new modifiers tied to timing. Examples include seasonal use cases, holiday phrases, weather-related intent, or event-based wording.
3. Remove outdated negatives if necessary. A term that was irrelevant in one period can become relevant during a promotion or product launch.
4. Audit landing page readiness. If new search terms reflect changed demand, make sure the destination page still matches.
5. Coordinate with operations. If fulfillment or pricing changes affect which terms are viable, reflect that in your query handling.

For businesses affected by shifting logistics or margins, related planning may be useful alongside query reviews: Dynamic Keyword & Pricing Strategies When Global Shipping Gets Disrupted and When Fuel Prices Squeeze Costs: Adjusting E-commerce Ad Budgets and Marginal ROI.

Scenario 5: Cross-platform search management

When you manage both Google Ads and Microsoft Ads, the search term review should be similar, but not assumed identical.

1. Export both platforms separately first. Do not merge too early or you may miss platform-specific patterns.
2. Normalize your columns. Keep a consistent view of campaign, ad group, keyword, search term, clicks, cost, conversions, and value where available.
3. Compare intent patterns, not just exact rows. The same theme may appear differently by platform due to audience mix and volume.
4. Port negatives carefully. A good exclusion in one platform is often useful in the other, but validate before applying broadly.
5. Track promoted keywords centrally. If a query deserves intentional coverage, decide whether to add it to one platform, both, or a shared keyword management process.

This is where disciplined ad platform management matters. A shared review template keeps decisions consistent without assuming every platform behaves the same way.

What to double-check

Before you add a negative keyword, expand a keyword set, or restructure an ad group, run through these checks. They reduce avoidable mistakes during Google Ads keyword management and Microsoft Ads query reviews.

• Intent versus wording: Similar words do not always mean similar intent. A term can look close to your offer but imply research, support, education, or employment interest.
• Singular, plural, and modifier differences: Small language changes can alter commercial intent.
• Brand contamination: Brand terms mixed into non-brand campaigns can distort results and make generic terms look better than they are.
• Conversion lag: Some queries convert later. Be cautious when reviewing short windows.
• Landing page fit: A search term may be relevant, but the page may not answer it clearly enough.
• Ad copy match: If a query theme keeps appearing, consider whether your headlines and descriptions should acknowledge it more directly.
• Search term volume threshold: Avoid creating new keywords or negatives from a single low-volume outlier unless it is clearly harmful or clearly valuable.
• Shared negative conflicts: Make sure an account-level or shared-list negative will not block valuable traffic elsewhere.
• Campaign-level differences: The same term can be useful in one campaign and unhelpful in another because the offer, audience, or landing page differs.
• Tracking quality: Weak attribution can make search terms look worse or better than they are. If your tagging discipline is inconsistent, fix that too. A standard UTM builder and campaign tracking workflow can help maintain cleaner analysis across channels.

If your paid search journeys connect closely with email or owned audience traffic, it is worth reviewing how channel quality affects downstream behavior. Related reading: How Better Deliverability Improves Paid Audience Performance and Implementing AI to Boost Email Deliverability: A Technical Guide for Marketers.

Common mistakes

Most problems in search term report analysis come from speed, not lack of data. These are the mistakes worth avoiding.

• Reviewing only clicks, not business value. High click-through rate does not make a query commercially useful.
• Adding too many negatives too quickly. This can shrink reach before you understand the full search pattern.
• Treating every converting query as a new keyword. Some terms are better handled as part of an existing theme.
• Ignoring query clusters. Looking row by row can hide the bigger pattern behind poor performance.
• Mixing brand and non-brand analysis. This leads to misleading conclusions about relevance and conversion rate.
• Assuming platform parity. Your google ads search terms findings may overlap with a microsoft ads search term report, but they should still be validated on their own merits.
• Using search terms only for exclusions. Query reviews should also improve ad copy, landing pages, keyword clustering, and campaign structure.
• Failing to document changes. If performance shifts later, you need a history of what was added, excluded, or promoted.
• Forgetting campaign maturity. A new campaign needs broader learning room than a mature campaign under cost pressure.

One useful habit is to classify each finding into one of four action buckets: negative, add as keyword, restructure, or monitor. That simple framework makes routine PPC keyword management more consistent over time.

When to revisit

The best checklist is the one you use repeatedly. Search term reviews should not be a one-time cleanup. They should be part of a standing optimization routine that adapts as account inputs change.

Revisit this process:

• Weekly for high-spend or fast-moving search campaigns
• Biweekly or monthly for stable lower-volume campaigns
• Before seasonal planning cycles
• After launching new match types, new campaign structures, or new landing pages
• When budget pacing changes sharply
• When product mix, inventory, pricing, or service scope changes
• When workflows, exports, or reporting tools change
• After major negative keyword list updates

For a practical recurring workflow, keep a lightweight review sheet with these columns: date range, campaign, search term cluster, issue type, action, owner, date implemented, and follow-up date. That turns search term analysis checklist work into a repeatable system rather than a reactive task.

Here is a simple action-oriented cadence you can use next time you open a report:

1. Choose one campaign only.
2. Sort by spend.
3. Label the top 20 to 50 terms by intent.
4. Add obvious negatives.
5. Promote any high-value recurring terms to managed keywords.
6. Note at least one ad copy or landing page insight.
7. Schedule a follow-up review after enough data accumulates.

That final step matters. Query management is strongest when tied to a decision cycle, not a single export. As campaigns mature, platforms evolve, and demand shifts, this checklist remains useful because it focuses on the underlying judgment: what users asked for, what your account allowed, and what should change next.