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Analyze Google Ads paid-search quality-to-pipeline signals with Claude

Distinguish inexpensive form fills from sales-usable demand using search terms, campaign structure, landing pages, conversion actions, values, and imported downstream outcomes available in Google Ads.

What you will have

A quality-to-pipeline scorecard, optimization-risk diagnosis, and approved campaign action plan.

Setup time
6-10 hours
Time saved
8-14 hours per paid-search review
Estimated cost
$20 to $220 per month
Tools used
2 tools

Why this works

Google Ads can optimize efficiently toward the wrong outcome when every conversion is treated as equal. This workflow evaluates query intent, conversion action, value, lag, and downstream quality signals available in the platform. Claude identifies patterns and risks, while bidding or budget changes remain human-approved.

Step-by-step workflow

Preview the workflow

The first 2 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.

1

Define the decision, scope, and accountable owners

30-45 min

Write a one-page operating charter for paid-search lead quality and downstream pipeline signals before exporting any data. State the exact decision this workflow supports: which campaigns, queries, conversion actions, and bidding inputs should be scaled, corrected, limited, or investigated. Define the in-scope business units, pipelines, regions, date window, record types, and exclusions, then name one analysis owner, one Google Ads data owner, and one final approver. Record the review cadence as weekly or biweekly and specify where evidence, approvals, and exceptions will be stored. Review the charter with the approver and do not proceed until the scope and decision rights are accepted.

Output

An approved operating charter with scope, owners, cadence, and decision rights.

Google Ads
Pro tip

A narrow decision produces better analysis than a broad request to “find insights”; keep out-of-scope questions in a separate backlog.

2

Translate the policy into testable rules

45-75 min

Convert the operating policy into a rule register that can be checked against Google Ads campaigns, search terms, assets, and conversion actions. Create one row per rule with rule_id, rule_name, business_reason, required_fields, calculation_or_test, pass_condition, exception_code, severity, owner, and policy_version. Start with these minimum checks: primary and secondary conversions are separated, conversion values reflect approved business meaning, search-term and campaign data use the same date and attribution settings, offline imports are monitored for delay and coverage, and small downstream samples are not used for aggressive bidding changes. Give every rule an example that should pass and an example that should fail so reviewers interpret it consistently. Have the business owner approve the rule register and record any unresolved policy questions before data is scored.

Output

A versioned rule register with pass conditions, examples, severity, and exception codes.

Google Ads
Pro tip

Version the rules independently from the workflow; changing a threshold should not erase which policy produced an earlier decision.

Pro workflow preview

Previewing 2 of 16 steps

Pro membership

Unlock the full workflow

Get the remaining 14 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and weekly new workflows.

$9/month

Build the required Google Ads reports and views
Create the data dictionary and evidence-key convention
Export a dated and access-controlled source package
Normalize joins, dates, and controlled values
Run the readiness and data-quality gate
Build the reusable Claude Skill and project workspace
See Pro plan
3Build the required Google Ads reports and views
Locked
4Create the data dictionary and evidence-key convention
Locked
5Export a dated and access-controlled source package
Locked
6Normalize joins, dates, and controlled values
Locked
7Run the readiness and data-quality gate
Locked
8Build the reusable Claude Skill and project workspace
Locked
9Run the evidence-linked Claude analysis
Locked
10Validate a stratified sample against source records
Locked
11Convert validated findings into a prioritized action backlog
Locked
12Create the decision artifact in Claude
Locked
13Run the human approval and exception gate
Locked
14Apply approved changes safely in Google Ads
Locked
15Add read-only MCP and optional n8n automation after stabilization
Locked
16Measure outcomes, close the run, and update the system
Locked

Expected results

Audit coverage

100% of the approved in-scope population

The workflow begins with a frozen scope and reconciles the analyzed row count to the platform control report, so coverage can be verified rather than estimated.

Evidence traceability

Every approved finding linked to a source evidence key

The data dictionary and evidence-key convention require each factual conclusion to point to a specific record, field, and as-of date.

Controlled execution

No source-system change without recorded approval and rollback data

Recommendations, approvals, and writes are separated into different steps, with pre-change exports and pilot validation before broader application.

Reusable operating cadence

A repeatable weekly or biweekly review system

The Claude Skill, rule register, acceptance tests, run manifest, and closeout process turn the work into a maintained operating system rather than a one-time analysis.

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