Google Ads guide

How to Set Up Google Ads Search Terms Report for B2B Companies

To set up a Google Ads search terms report for a B2B company, define target accounts and buyer roles first, then organize searches by buying stage and connect them to CRM outcomes. Review expensive mismatches and valuable account language, route uncertain queries to sales or product, and apply negatives only when their scope is safe. A B2B report should preserve useful research demand while separating it from unqualified or unsupported intent.

Google’s search terms report shows searches that resulted in ads being shown. It does not know whether a searcher is a decision-maker, evaluator, student, vendor, or target account. The setup below adds those business distinctions without pretending that a long sales cycle can be measured by a same-day form alone.

Define the B2B account and buyer rules

Before exporting rows, write the rules that make a company or contact worth pursuing. Include target industries, employee or revenue bands, regions, technologies, use cases, buying roles, contract value, and current sales capacity. Add disqualifiers such as students, job seekers, unsupported integrations, very small accounts, free-only requests, or markets without sales coverage.

Then list the stages the team recognizes. A practical sequence might be problem research, solution discovery, comparison, technical evaluation, pricing or procurement, and sales conversation. The words in a query may suggest a stage, but the form and CRM evidence may change that interpretation. “Demo” is not proof of fit, and a definition query is not proof of irrelevance.

Keep one question in view throughout the setup: what would the sales team do with this person or account? If the answer differs by role or stage, the report should retain that field rather than compressing every search into lead or non-lead.

Prepare the report and CRM fields

In the search terms report, include search term, campaign, ad group or asset group where available, keyword, match type, impressions, clicks, cost, conversions, and conversion value. Add landing page, content type, device, region, submitted company, role, account name, and CRM status where the data is trustworthy.

Keep platform conversions separate from business outcomes. Useful labels may include raw form, marketing-qualified lead, sales-accepted lead, opportunity, pipeline value, closed revenue, and disqualified reason. If a field is missing, use unknown rather than inferring a stage from the query alone.

Choose a date range that gives the sales cycle time to mature. A weekly view can identify waste and language changes, but it may be too early to judge pipeline. Pair an early operational review with a later outcome review. Annotate product launches, new content, pricing changes, sales territory changes, campaign restructures, and CRM outages.

Classify searches by stage, role, and fit

For each important query, record three separate judgments:

  1. What problem or solution is being searched?
  2. Which buyer role or research role does the wording suggest?
  3. Does the account or use case fit the business?

This keeps the analysis useful. A finance leader, system administrator, procurement manager, and student can use related language while representing very different opportunities. A technical evaluator may not fill a form but can influence a later opportunity. An executive query may be vague but valuable if it comes from a target account.

Put rows into actions such as retain and observe, expand coverage, improve content, validate with sales, or propose an exclusion. For a query that deserves more coverage, document the exact wording, stage, role, destination, and expected signal. For a query that needs validation, assign a question to the right owner. For an exclusion, state the client-specific mismatch and likely scope.

Do not add a keyword just because the phrase looks commercially close. First check whether the account has the right page, proof, integration, pricing path, and sales response. Sometimes the best action is a technical article or comparison page rather than direct lead generation.

Review high-value and high-risk rows first

Sort the report so the review starts with meaningful decisions. Inspect expensive searches with no relevant activity, searches from target accounts, repeated product or use-case themes, and rows that produced forms or calls. Then review new language that could inform positioning or content.

For each row, note:

  • the exact search and match context;
  • likely problem, role, and buying stage;
  • company or segment fit;
  • destination and next-step quality;
  • cost and platform conversion; and
  • CRM outcome or missing evidence.

Read the surrounding search language carefully. “Software” may be an early category query or a student project. “API integration” may indicate a good technical evaluator or an existing customer seeking support. “Pricing” may be a strong buying signal or an unrelated pricing assignment. The action depends on the offer and account evidence, not the word alone.

Treat repeated relevant research as a content opportunity even when it does not convert immediately. A B2B account may need implementation documentation, a security page, a use-case page, or a comparison guide before it can request a sales conversation.

Add negatives only after a scope check

Use the Google Ads negative-keyword guidance as the technical reference. Keep a negative proposal log with the query, mismatch, proposed wording, campaign or ad-group scope, good searches checked, approver, and review date.

Separate universal disqualifiers from campaign-specific decisions. Jobs or homework may be irrelevant across a lead campaign, but training or certification can be the actual product in another business. Support terms may be negative for acquisition while valuable for a customer campaign. “Free” may exclude a commercial request or describe an early-stage resource that the team wants to promote.

When unsure, start with a narrow scope or investigate more. Check whether the proposed negative would block a longer query that contains a valuable use case. After applying it, look for changes in target-account impressions, qualified leads, and opportunity creation—not only a reduction in clicks.

Do not use negatives to hide a weak landing page, missing proof, poor form, slow sales response, or broken tracking. Send those findings to the owner that can fix them.

Join queries to pipeline evidence

The report becomes a B2B tool when the team can compare query themes with CRM progression. Join search themes to accepted leads, account match, opportunity stage, expected value, close status, and lost reason where possible. If attribution is incomplete, show the limitation and avoid claiming that a query caused revenue.

Google’s measurement guidance helps frame platform conversion data. The company’s CRM and sales process add information the ad platform cannot see. A form may be a raw inquiry; an opportunity may be created after research, email, or a sales conversation. Preserve that difference.

When a query looks relevant but creates poor pipeline, inspect the path:

  1. Was the searched problem in the current product offer?
  2. Did the ad and page match the buyer’s stage?
  3. Did the form capture role, company, and use case?
  4. Was the lead routed and followed up promptly?
  5. Did sales accept or disqualify it, and why?
  6. Did the account progress toward an opportunity or revenue?

This turns a search terms review into a shared diagnosis. It may reveal that advertising needs a targeting change, or that content, routing, qualification, product fit, or CRM measurement needs attention instead.

Build a recurring decision log

Give every material finding an owner and a next step. A useful entry includes the query theme, classification, proposed change, campaign or page, reason, approver, date, and success or warning signal. Keep “approved,” “implemented,” and “observed” as separate states.

For a monthly B2B review, summarize:

  • language from target accounts and roles;
  • relevant research that should inform content;
  • high-intent searches and downstream quality;
  • repeated disqualifiers and scoped negative proposals;
  • questions awaiting sales, product, or operations; and
  • changes whose effect needs another cycle.

Explain tradeoffs. Excluding a broad research term can improve lead efficiency while reducing early-stage visibility. Expanding a use-case theme can create more unqualified traffic before content and qualification catch up. The expected time horizon matters in a long sales cycle.

Use the B2B Performance Max guide for broader PMax context. adz.so can help inspect supported account data and organize the report, but it does not qualify accounts, replace CRM ownership, or guarantee pipeline from a search term.

Validate the B2B setup

Before making the workflow routine, confirm that:

  1. target account, role, industry, region, and disqualifier rules are current;
  2. the report has the correct account, date range, campaign, and conversion scope;
  3. search stage, buyer role, and account fit are separate fields;
  4. expensive, repeated, target-account, and outcome-producing rows were reviewed;
  5. negative candidates have wording, scope, evidence, and approval;
  6. platform events are not presented as qualified pipeline or revenue;
  7. content, page, form, routing, sales, and product issues have owners; and
  8. the next review matches the company’s sales-cycle timing.

The right B2B setup makes search language useful to marketing, sales, product, and revenue teams. Protect early research from premature exclusion, protect budget from clear mismatches, and let account fit plus pipeline progression determine what should change.