Michele Eccher
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A Google Ads audit is a structured review of the account’s measurement, demand capture, campaign design, creative, landing pages, bidding and commercial outcomes. Its purpose is not to produce the longest checklist. It should identify which problems materially distort decisions or waste qualified demand, then turn those findings into an ordered implementation plan.
Accounts rarely fail because every setting is wrong. More often, one broken conversion action teaches bidding the wrong lesson, broad demand hides inside an attractive average, or a strong keyword reaches a page that cannot resolve the visitor’s question. Auditing each screen independently misses those relationships.
This guide follows the customer and data journey rather than the menu in Google Ads. If you need ongoing analysis and implementation, explore Qreativa’s Google Ads agency service. For budgeting, use our Google Ads cost guide.
Trust
Confirm that conversion and revenue signals mean what they claim.
Demand
See which searches, products and audiences consume spend.
Experience
Connect intent, ad promise and landing-page response.
Priority
Order fixes by value, confidence, effort and dependency.
Preserve the evidence before changing the account
Record the date range, attribution settings, conversion definitions, campaign status and any major changes before interpreting performance. Export enough historical detail to compare campaigns, search terms, devices, locations, schedules and conversion actions. Note promotions, stock changes, website releases and sales-process changes that could explain discontinuities.
Capture before implementation
- Account and campaign change history
- Conversion actions, values, counting and attribution settings
- Budget, bidding and targeting configuration
- Search-term, asset, audience and placement evidence
- Landing-page destinations and tracking parameters
- CRM outcomes or ecommerce revenue where available
Verify what the account is being taught to value
| Check | Failure mode | Commercial consequence |
|---|---|---|
| Primary conversions | Micro-actions included in bidding goals | Spend optimises toward easy but weak outcomes |
| Counting | Repeat events counted when one business outcome matters | CPA looks better than customer acquisition |
| Values | Every lead or product reports the same value | Automation cannot distinguish contribution |
| Deduplication | Browser and server events both claim one action | Reported performance is inflated |
| Offline outcomes | Qualified leads and sales never return | The platform learns from form completion only |
| Consent and diagnostics | Tags fail silently for parts of the audience | Trends reflect data loss as well as behaviour |
Test events from ad click to CRM or purchase record. Compare platform totals with analytics and business systems, but do not expect perfect equality because attribution methods differ. The objective is to understand the difference well enough to make consistent decisions.
Find where unlike intentions are being averaged together
Review actual search terms, not just keywords. Group spend by customer problem, commercial intent, geography and product economics. Look for brand and non-brand demand combined in one result, informational searches consuming sales budgets, duplicated coverage, excluded profitable queries and settings that expand reach beyond the documented strategy.
Search intent
Can one ad and page answer the needs grouped together?
Budget control
Can the business protect the priorities that matter most?
Learning volume
Is structure concentrated enough for meaningful signals?
Economics
Are unlike margins or lead values hidden inside one target?
Audit the promise from search to landing page
Read the query
Identify the job, urgency and evidence implied by the search.
Inspect the ad
Check whether the promise is specific, supportable and distinct.
Open the destination
Confirm message continuity, mobile clarity, proof and speed.
Complete the action
Test forms, calls, checkout, confirmation and data routing.
Google describes Quality Score as a diagnostic tool rather than a KPI. Its components—expected clickthrough rate, ad relevance and landing-page experience—can help locate weaker patterns, but the audit should connect those patterns to real customer and business outcomes. See Google’s official Quality Score guidance.
When the destination is the constraint, use the separate guide to building a high-converting landing page for Google Ads.
Check whether automation has the right objective and room to work
Evaluate bidding only after conversion quality is understood. Check whether targets reflect current margins and sales reality, whether budget caps systematically constrain the most valuable demand, and whether abrupt changes repeatedly reset the account’s learning conditions. Review seasonality and portfolio strategies where relevant.
Google’s Recommendations page groups suggestions across bidding and budgets, ads and assets, keywords and targeting, and technical fixes. Treat these as inputs to professional judgement, not instructions to apply automatically. Review Google’s official recommendation categories and its explanation of how optimisation score works; both reflect current account settings and can change over time.
Before changing a bid strategy, confirm
- The conversion goal is commercially meaningful
- Values and imported outcomes are trustworthy
- The campaign has enough relevant volume for the approach
- Targets do not contradict the available auction opportunity
- Budget and operational capacity support the intended growth
- A monitoring window and rollback condition are documented
Turn findings into a sequence the team can implement
| Priority factor | Question | Practical meaning |
|---|---|---|
| Impact | How much qualified value could this affect? | Protect major spend and high-value demand first |
| Confidence | How strong is the evidence for the diagnosis? | Separate verified failures from hypotheses |
| Effort | What people, access and development are required? | Identify quick corrections and larger projects |
| Dependency | What must be fixed before another change can be judged? | Repair tracking before evaluating bidding |
| Reversibility | Can the change be controlled or rolled back? | Test uncertain interventions safely |
Write each recommendation as a small decision record: evidence, consequence, proposed action, owner, success signal and review date. A list of vague best practices creates work; an ordered backlog creates accountability.
Google Ads audit FAQs
How often should a Google Ads account be audited?
Use a full audit after major strategy, tracking, website or ownership changes and when performance cannot be explained by routine monitoring. Ongoing management should already include regular quality checks, so a formal audit is not a substitute for responsible operations.
What should a Google Ads audit include?
At minimum: conversion measurement, business values, search terms or placements, campaign structure, targeting, ads and assets, landing pages, budgets, bidding, change history and downstream outcome quality. The exact scope should match the campaign types in the account.
Is Google Ads optimisation score an audit?
No. It is a platform-generated estimate accompanied by recommendations. It can surface useful opportunities, but it does not understand every commercial constraint, data-quality problem or responsibility outside the account. Review each suggestion against the strategy.
Should changes be made during the audit?
Critical failures such as broken destinations or unusable tracking may require immediate containment. Otherwise, preserve the baseline, document findings and implement changes in an order that keeps cause and effect understandable.
How long does a Google Ads audit take?
It depends on account size, campaign types, tracking complexity, market count and access to commercial data. A small search account and a multi-market ecommerce account need different evidence. Define deliverables and dependencies rather than promising one universal duration.
