Where should you start optimizing a Google Ads account? Audit order and metrics

When advertising continues to consume budget but generates too few inquiries or orders, don’t rush to increase the budget or make sweeping bid changes. Google Ads account optimization should start by checking whether conversion data is reliable, then proceed to review targeting and budget, search intent and traffic quality, ads and landing pages, and finally bidding strategies. This sequence helps prevent tracking issues from being mistaken for poor ad performance and reduces unnecessary changes.

Before taking action, define the audit goal: lowering the cost per qualified inquiry or increasing order revenue. adwords optimisation is not just about click-through rate or cost per click; account data should be tied to actual business outcomes.

First, confirm that conversion tracking is reliable enough to inform decisions

In Google Ads conversion goal settings, check whether actions such as form submissions, phone inquiries, and purchases are still working, and which actions are set as primary conversions and used for bidding. Page views and button clicks can provide useful context, but they should not be grouped indiscriminately with genuine inquiries or orders. Otherwise, the system may optimize for actions that are easy to generate but have no business value.

1. Check triggers: Complete a test action and confirm that the corresponding conversion action and event fire correctly. Make sure test data does not affect official reporting.
2. Check measurement definitions: Review duplicate submissions, cross-domain redirects, order values, and counting methods. Compare the data with your website backend or sales records to identify obvious omissions and duplicate counts.
3. Check attribution and lag: Use the same date range when comparing data, allow for the time it takes conversions to occur after a click, and account for differences in attribution methods across systems.

If form submissions appear normal but the sales team reports few qualified inquiries, also check for spam, duplicate leads, and whether the target market is a good fit. Where possible, import qualified leads or closed sales, and verify data quality before considering these outcomes for bidding optimization.

Next, review where the money is going

Choose a date range that covers a normal business cycle and compare it with a previous period of the same length under similar business conditions. Start by reviewing spend, conversions, cost per conversion, and conversion value by campaign, then break the data down by country or region, device, time of day, and campaign type. When data is limited, extend the observation period to avoid judging a segment ineffective based on just a few conversions.

Look for two main issues: spend concentrated in areas that are not generating the expected conversions, and effective campaigns that are frequently limited by budget. For the first, investigate search terms, audiences, and landing pages rather than pausing everything immediately. For the second, first confirm that conversion quality and costs are acceptable, then consider adjusting the budget. With shared budgets, also check whether campaigns are competing for the same funds.

Impression share and lost impression share due to budget can help indicate whether campaigns are budget-constrained, but they are not sufficient reasons on their own to increase the budget. If conversion tracking is unreliable or the traffic is unsuitable, expanding reach may simply increase waste.

Trace user intent through search terms

For search ads, don’t just review the keyword list; also examine the search terms that are actually visible. Compare high-spend terms with your products, service areas, and the user’s stage in the buying process. Are users looking for procurement services, job listings, free tutorials, or after-sales support for an existing product? Add irrelevant search terms as negative keywords. For relevant terms with substantially different intent, consider adjusting match types, reorganizing ad groups, or creating a dedicated landing page.

Before adding negative keywords, check their match scope to make sure you don’t exclude potential customers. Search terms reports do not show every query, so visible terms should not be treated as a complete picture of traffic. For campaigns with broader reach, also use the platform’s search term insights, ad assets, and conversion data to guide your assessment; don’t simply apply the same troubleshooting approach used for standard search ads.

Getting clicks but no conversions?

First, distinguish between an ad problem and a landing page problem. If impressions are high but clicks are low, check whether the ad copy addresses search needs and whether the keywords align with the ad theme. If clicks are plentiful but the conversion rate is low, check whether the landing page delivers on the ad’s promise—for example, an ad highlights a specific type of equipment, but the page only provides a general company overview.

Open the page on devices commonly used in your target market and test loading, language, product information, forms, and contact details in sequence. Too many form fields, an unresponsive button, or parameters lost after a redirect can all lead to drop-offs. For B2B inquiries, check that the page explains the intended applications, specifications, or delivery options so visitors have enough information to decide whether to get in touch.

A high click-through rate does not necessarily mean the traffic is high quality, and a high conversion rate does not necessarily mean inquiries are qualified. Assess both conversion costs and downstream lead quality. For e-commerce accounts, verify conversion value, order value, and profit margins to avoid focusing solely on the apparent return on ad spend.

Review bids and run experiments only after verifying the data

Check which conversion goals the current bidding strategy uses, and confirm that the target cost or target return aligns with actual business needs. If conversion actions, budgets, or targets have just been changed, allow time for the system to adjust and for data to accumulate. Changing several variables at once makes it difficult to identify what caused subsequent changes.

When testing new ad copy, landing pages, or bidding approaches, record the original settings and key metrics first, then validate the changes through an experiment or another controlled comparison where possible. During the comparison, watch for confounding factors such as promotions, inventory, seasonality, and website redesigns. If conversion volume is insufficient, avoid switching strategies frequently in response to short-term fluctuations. Instead, extend the observation period or focus the analysis on traffic relevance and tracking completeness.

If your business also needs to examine how advertising data connects with financial information, An Exploration of Pathways for the Integrated Development of Enterprise Artificial Intelligence and Accounting Digitalization may serve as a related reference. Account changes should still be guided by actual conversion records, cost definitions, and business objectives.