Why does Google Ads show more conversions than I actually have inquiries?

When Google Ads shows more conversions than you actually received as inquiries, it usually comes down to how Google counts and attributes conversions. This problem concerns many advertisers, but in most cases there is a technical explanation. The most common causes are duplicate conversion tracking, the counting of micro-conversions, and the attribution model. Addressing these issues is vital for accurate performance measurement and effective campaign optimisation.

Why Google Ads may show more conversions than expected

Google Ads uses the counting method “Every conversion” by default. This means that if a user comes to your website via an ad and fills out two forms, Google counts two conversions, even though it is the same user. This setting can significantly inflate your conversion numbers, especially for users who engage with multiple touchpoints on your site. For instance, a single user might fill out a “request a demo” form and then download a case study PDF. The result is two counted conversions in Google Ads, despite only one unique lead.

Google also captures micro-conversions such as page views, button clicks or PDF downloads if these have been set up as primary conversion actions. While these actions indicate user engagement, they might not represent direct business inquiries or sales. For example, if “viewed pricing page” is a primary conversion, Google Ads can report a large number of conversions that don’t directly translate into revenue. Distinguishing between true macro-conversions and supporting micro-conversions is therefore crucial for accurate reporting.

Another common reason is duplicate conversion tracking. This often occurs when conversion tags are implemented directly in the website’s source code and simultaneously via Google Tag Manager (GTM). Each completed action might then be reported twice. Multiple GTM tags configured for the same action can also lead to overcounting. Duplication like this can easily inflate conversion counts by 50-100% or more and makes it appear that Google Ads shows more conversions than your internal systems confirm.

How the attribution model impacts conversion reporting

Since 2023, Google Ads has used data-driven attribution by default. This sophisticated machine learning model distributes conversion credit proportionally across the multiple clicks or interactions a user has with your ads along their conversion path. For instance, if a user clicks on three different ads and then converts, each ad might receive a fraction of the conversion, such as 0.3, 0.2 and 0.5. While the total sum for one conversion is 1.0, these fractional credits can accumulate across various campaigns and ad groups. This leads to a higher overall conversion count in the Google Ads interface.

The total can therefore appear to show more conversions than actually occurred, particularly when you evaluate the performance of individual campaigns or ad groups. The model attempts to account for the entire user journey and may assign credit to earlier, less direct interactions. Understanding that data-driven attribution focuses on the contribution of each touchpoint, not solely on the final click, is essential for interpreting your data correctly. This matters especially when Google Ads shows more conversions than your raw lead count.

In addition, Google counts conversions within a default lookback window, typically 30 days for most website conversion actions. This means a click from three weeks ago is still attributed if a conversion occurs today. For example, if a user clicks an ad on day 1 and converts on day 29, that conversion is attributed to the initial click. Similarly, if the same user clicks a different ad on day 15 and converts again on day 30, both conversions are counted. This can make Google Ads show more conversions than the unique leads you received within a shorter timeframe. The extended window provides a comprehensive view of ad impact, but it can sometimes lead to perceived overcounting from a strict, immediate inquiry perspective.

Our recommendation when Google Ads shows more conversions than you actually have

To measure your campaign performance accurately, review your conversion settings carefully. Check under Conversions > Settings whether the counting method for your primary conversion actions is set to “One” instead of “Every”. Selecting “One” ensures that if a single user completes the same conversion action multiple times, it is only counted once for attribution purposes. This provides a more realistic count of unique leads or sales. Furthermore, remove micro-conversions like page views or PDF downloads from your primary conversion actions and reclassify them as “Secondary” if they are not direct inquiries or sales. This prevents Google Ads from optimising for less valuable actions and ensures your primary metrics reflect true business outcomes.

Additionally, verify in Google Tag Manager or your website’s source code that the conversion tag is not firing twice due to redundant implementations. Use tools like Google Tag Assistant or your browser’s developer console to debug potential duplicate tags. Moreover, regularly compare your Google Ads data with your CRM or your actual inquiries to identify and reconcile significant discrepancies. Implementing offline conversion tracking or enhanced conversions can further bridge the gap between reported Google Ads conversions and your internal sales data. This rigorous approach is crucial when Google Ads shows more conversions than your internal records, and it ensures you’re optimising for real business impact.

Conclusion

Understanding why Google Ads shows more conversions than your internal records is crucial for effective campaign management. This common problem often stems from incorrect counting methods, the nature of data-driven attribution, or duplicate tracking implementations. By addressing these technical nuances, advertisers can gain a clearer, more accurate picture of their campaign performance.

As a Google Ads agency, we specialise in auditing and optimising conversion setups so that only relevant actions are counted. With precise tracking, you can optimise campaigns for actual business results rather than distorted data, and you avoid the inflated metrics that make Google Ads show more conversions than you actually have. Investing in a robust conversion tracking strategy is therefore paramount for maximising your return on ad spend.