Audit Purpose and Methodology
A Google Ads audit systematically evaluates every element of account configuration, targeting, creative, and measurement to identify waste, inefficiency, and missed opportunity that accumulate in accounts over time. Even well-managed accounts develop performance leaks as campaigns scale, market conditions shift, and platform features evolve — quarterly audits catch these issues before they compound into significant budget waste. The audit methodology should follow a structured top-down approach, beginning with account-level settings and strategy alignment, then drilling into campaign structure, ad group organization, keyword targeting, ad creative, bidding, and finally measurement infrastructure. Most audits reveal that ten to twenty percent of spend is wasted on search terms that do not convert, underperforming ad variations that should have been paused, or campaigns structured in ways that prevent Google's algorithms from optimizing effectively. Beyond identifying waste, audits surface expansion opportunities — keywords with strong conversion signals that deserve increased investment, ad formats not yet tested, and audience targeting strategies not yet deployed. For organizations managing [PPC campaigns](/services/advertising/ppc-management), scheduling audits at regular intervals prevents the gradual performance decay that occurs when accounts run on autopilot without systematic review.
Account and Campaign Structure Review
Account and campaign structure determines how effectively budget flows to the highest-opportunity areas and how granularly you can control targeting, messaging, and bidding. Verify that campaign organization reflects distinct business objectives — separate campaigns for brand keywords, non-brand prospecting, competitor targeting, and remarketing enable independent budget control and performance evaluation for each strategic function. Check that geographic targeting is correctly configured — campaigns targeting national audiences sometimes inadvertently include or exclude regions, and location options should use presence rather than presence-or-interest targeting unless you intentionally want to reach people showing interest in a location without being there. Review network settings to confirm search campaigns are not opted into display network accidentally, which dilutes performance data by mixing fundamentally different ad placements. Assess ad group organization for keyword-to-ad relevance — ad groups containing more than fifteen to twenty keywords likely lack the thematic focus needed for highly relevant ad copy, and splitting large ad groups into tighter themes typically improves Quality Score and click-through rate. Verify that campaign naming conventions are consistent and descriptive, enabling efficient filtering, reporting, and management across accounts with dozens or hundreds of campaigns.
Keyword Targeting and Match Type Audit
Keyword targeting audits evaluate whether your keyword portfolio captures relevant demand without wasting budget on irrelevant or non-converting searches. Pull the search terms report for the past ninety days and analyze every term that received clicks — identify irrelevant searches that should be added as negative keywords, relevant searches not yet added as targeted keywords, and high-performing searches that deserve dedicated ad group treatment. Assess match type distribution — accounts heavily dependent on broad match without robust negative keyword lists typically waste twenty to thirty percent of budget on tangential queries, while accounts using only exact match may miss valuable variations and long-tail opportunities. Review negative keyword lists for completeness — examine both campaign-level and shared negative keyword lists for terms that should be excluded, and check for conflicts where negative keywords inadvertently block desired traffic. Evaluate keyword Quality Scores across the account — keywords scoring below five indicate relevance problems between keyword, ad copy, and landing page that inflate costs and reduce impression share. Identify keywords with high impressions but low click-through rates — these terms occupy budget opportunity without generating engagement and may need ad copy improvements, match type changes, or pausing if fundamentally misaligned with searcher intent.
Ad Copy and Creative Assessment
Ad copy assessment evaluates whether your messaging maximizes click-through rate, communicates relevant value propositions, and differentiates from competitor ads appearing alongside yours on the same results page. Verify that every ad group contains at least two active responsive search ads providing Google's algorithms sufficient variation to optimize headline and description combinations — ad groups with single ads miss optimization opportunity and lack the comparative data needed for creative learning. Review headline and description assets for each responsive search ad — ensure variety across value propositions, calls-to-action, and benefit statements rather than repetitive variations of the same message, because diverse assets give Google's machine learning more creative combinations to test. Check that ad copy aligns closely with the keywords in each ad group — generic ad copy applied across thematically diverse ad groups produces lower Quality Scores and click-through rates than tailored messaging addressing specific search intent. Audit ad extension usage — verify that sitelinks, callouts, structured snippets, image extensions, and location extensions are configured and performing, as extensions improve click-through rate by fifteen to twenty percent on average. For teams working with [advertising agencies](/services/advertising/digital-advertising), ad copy audits should include competitive ad monitoring to ensure messaging differentiation and identify competitor claims worth addressing.
Bidding Strategy and Budget Analysis
Bidding strategy and budget analysis determines whether your investment is allocated and optimized to maximize return across the account portfolio. Review each campaign's bidding strategy against its maturity and conversion volume — campaigns with fewer than thirty monthly conversions typically lack sufficient data for automated strategies like Target CPA or Target ROAS to optimize effectively and may perform better with manual CPC or Maximize Clicks. Analyze budget utilization and impression share metrics — campaigns consistently limited by budget are missing available demand that could be captured with incremental investment, while campaigns spending budget without delivery constraints may benefit from tighter targeting or lower bids. Check for budget conflicts where multiple campaigns compete for the same audience with separate budgets, creating internal competition that inflates costs — consolidation or portfolio bid strategies can resolve this inefficiency. Review bid adjustments for devices, audiences, locations, and schedules — outdated adjustments based on historical performance that no longer holds can distort automated bidding signals and prevent algorithms from reaching optimal performance. Assess Target CPA and Target ROAS targets against actual performance — targets set too aggressively constrain volume by causing the algorithm to bid too conservatively, while permissive targets may overspend on low-quality conversions.
Conversion Tracking and Attribution Verification
Conversion tracking verification ensures that the data driving all optimization decisions accurately reflects actual business outcomes rather than inflated or misattributed conversions that mislead algorithms and analysts alike. Audit every conversion action configured in the account — verify that each action fires correctly by testing the complete conversion path from ad click through conversion completion, confirming that tags trigger at the right moment and record accurate values. Check for duplicate conversion counting — if both Google Ads tags and imported Google Analytics goals track the same action, conversions are double-counted and automated bidding strategies optimize toward inflated numbers that do not reflect reality. Verify conversion window settings match your actual sales cycle — a thirty-day window is appropriate for impulse purchases but insufficient for B2B transactions with ninety-day consideration periods, causing attribution to miss conversions that automated bidding then fails to optimize toward. Review enhanced conversions implementation — first-party data matching through enhanced conversions recovers fifteen to twenty percent of conversions lost to browser privacy restrictions and cross-device journeys. Assess conversion value accuracy for value-based bidding — if conversion values do not reflect actual revenue or lead quality, Target ROAS optimization drives toward the wrong outcomes. For organizations investing in [marketing analytics](/services/marketing/marketing-analytics), conversion tracking audits should extend beyond Google Ads to verify consistency between platform-reported conversions and CRM-recorded business outcomes.