How to Set Up Google Ads Search Terms Report for Enterprise Accounts

To set up a Google Ads search terms report for an enterprise account, preserve business-unit, product, market, language, and campaign ownership on every row. Define fit and buying stages, review expensive and valuable themes, route uncertain language to the right local or central owner, and apply negative keywords only after scope and approval are clear. Join the report to qualified pipeline and revenue without flattening local context.

Google’s search terms report shows searches that resulted in ads being shown. The setup below adds the organizational and commercial information needed to decide what an enterprise account should do next.

Map the account before exporting data

Create an ownership map for customer account, business unit, product, market, language, region, campaign, and landing-page owner. Note who can classify a query, who can approve a keyword or negative, who can change a page or feed, and who owns sales or pipeline outcomes.

Keep the map beside the report. Enterprise structures change, and a central team may not know that a phrase means something different in a regional market or division. The map is not a reason to delay analysis; it is a way to route decisions safely.

Verify customer identifier, account, time zone, currency, campaign, filters, and conversion actions before combining data. A rollup can show patterns across the organization, but each row must retain the context needed to explain cost and value.

Write fit and buying-stage rules

Document target industries, account sizes, markets, supported languages, products, use cases, buying roles, contract value, sales coverage, and disqualifiers. Include jobs, education, support, consumer use, unsupported countries, unavailable products, and other clear mismatches.

Define buying stages such as problem research, category exploration, solution comparison, technical evaluation, security, procurement, pricing, demo, renewal, or support. Treat stage as a working classification, not a guaranteed fact. A “pricing” search may be a student’s assignment; a technical search may come from a valuable evaluator.

For each query, ask which business unit can answer it, which market and language it belongs to, which role is likely searching, and what evidence would make it valuable. If the answer is unclear, send a question to the appropriate owner rather than forcing a global label.

Build a context-preserving report

Use the search terms report with search term, campaign, ad group or asset group, keyword, match type, impressions, clicks, cost, conversions, and conversion value. Add business unit, product, market, language, landing page, device, region, role, account, lead status, opportunity stage, and pipeline value when reliable.

Keep platform conversions separate from qualified leads, sales acceptance, opportunities, procurement progress, revenue, renewals, and margin. An enterprise opportunity may mature after the search date, so pair an early relevance and spend review with a later outcome review.

Annotate launches, localization, product availability, packaging, pricing, territory changes, campaign restructures, feed changes, regulatory events, CRM outages, and sales coverage. These notes explain why themes differ across markets and periods.

Classify important searches and actions

Use a common taxonomy: brand, product, category, problem, use case, comparison, competitor, technical, security, compliance, procurement, support, jobs, education, or unrelated. Add action labels such as retain, expand, improve destination, validate, exclude, or escalate.

Start with costly mismatches and outcome-producing rows, then review repeated and market-specific language. Read the exact query and matching context. A product name may be support for one customer segment, while a procurement term may be a serious commercial signal in another.

For a retain or expand row, record query, business unit, market, role, destination, outcome, and owner. For an improve-destination row, note the missing proof, language, product detail, security answer, or procurement route. For an investigate row, assign the person who can resolve the meaning.

Do not let the central taxonomy erase local context. Keep a standard category and a local reason field so analysts can compare patterns while preserving useful explanations.

Govern negative-keyword proposals

Use the Google Ads negative-keyword guidance alongside the campaign structure. Log exact query, mismatch, wording, proposed scope, business unit, market, good queries checked, approver, implementation owner, and review date.

Separate global exclusions from local exclusions. A support or job term may be universal, but a product, place, industry, or language term may be legitimate in another segment. Shared negative lists need a named owner and a review process.

Start with the narrowest safe scope. If a phrase is wrong only in one product or market, do not block it account-wide. After applying a negative, compare irrelevant spend with target-account coverage, qualified pipeline, local performance, and customer value. If good coverage falls, inspect scope and translation before stacking more exclusions.

Do not use a negative to hide localization, product, page, routing, sales, procurement, or tracking problems. Those are accountable work items.

Connect query themes to enterprise outcomes

Join the important themes to account fit, lead acceptance, opportunity stage, procurement progress, expected value, closed revenue, margin, renewal, or customer value where the systems support it. Mark unknown when the data is not connected.

Google’s measurement guidance helps frame platform events. Enterprise teams should identify the source of truth for pipeline and revenue and avoid claiming that a query caused value solely because it preceded a conversion.

When a relevant theme has weak downstream quality, trace:

1. query and ad promise;
2. market, language, and destination;
3. form, enrichment, and routing;
4. sales response and qualification;
5. product, security, compliance, or procurement fit; and
6. opportunity progression and revenue.

This sequence makes the owner of the next fix visible. The answer may be media, content, localization, sales operations, product marketing, or measurement.

Produce a central summary with local detail

The enterprise output should have a central summary and a drill-down view. Summarize recurring themes, high-cost mismatches, valuable account language, open questions, proposed exclusions, and approvals. Keep exact query, market, language, campaign, page, owner, and evidence in the detail view.

For every recommendation, state what happened, where, why it matters, what will change, who approves it, what could be lost, and when the outcome will be reviewed. Keep proposed, approved, implemented, and observed as separate states.

Share findings with the teams that can act: central media, local marketing, business unit, web, product, sales operations, compliance, or procurement. A central recommendation should not imply that every market has approved it.

The enterprise Performance Max guide can provide wider PMax context. adz.so can help inspect supported account data and organize the workflow, but it does not replace enterprise approvals, local-language review, CRM governance, or revenue systems.

Validate the enterprise setup

Before making the process routine, confirm that:

1. ownership fields identify business unit, product, market, language, and campaign;
2. fit rules, roles, stages, and disqualifiers are current;
3. account, time zone, date range, filters, and conversion definitions are correct;
4. costly, repeated, outcome-producing, and local-language rows were reviewed;
5. negative proposals have exact wording, safe scope, good-query checks, and approval;
6. platform events are separated from qualified pipeline and revenue;
7. localization, page, product, routing, sales, procurement, and tracking issues have owners; and
8. the next review matches the enterprise sales cycle and data maturity.

An enterprise search terms report is set up well when central governance makes decisions safer without erasing local meaning. Keep ownership and evidence visible, protect valuable coverage across markets, and let qualified pipeline and customer value guide the next change.