We’ve connected our Shopify store to Google Analytics using the Google & YouTube app. However, we use CookiesYes for our consent banner, which means conversions from visitors who reject optional cookies are not being tracked in Google Analytics.
As a result, we’re seeing a significant discrepancy between our Shopify sales data and what’s reported in Google Analytics. We plan to start running Google ads and want to have our analytics dialed in.
For those of you facing similar issues:
How are you dealing with the underreporting of conversions due to cookie rejection?
Are there any workarounds or tools you recommend to get more accurate conversion data?
Any advice on how to bridge this data gap would be super helpful!
For conversion data in Google Ads, the only option is to enable enhanced conversions, which means you send customer data to Google, and based on AI, will Google fill in the gap. It’s not going to catch all conversions, but you should see around 6% more conversion (but it’s AI, so it’s not factually correct)
To clarify, I am asking how you account for the difference in Google Analytics Sales and key events reporting due to website visitors not accepting the cookies. I prefer the reports in GA compared to Shopify but the variance is wildly different from day-to-day so we can’t do a simple formula to adjust.
That sounds correct, think of it this way. Is it every day that the same amount of consumers opt out of tracking? Not really, you can put simple formula on somethign that is dynamic every day.
What you want to achieve could work, if you have hundreds of sales every day, and then use an average percentage, but not a accurate one.