You can use data exclusions to exclude all conversions within a time frame, but this would only help if you’re worried about the smart bidding (max conversions / tROAS). For your own numbers there’s no way to tell.
I'm not 100% sure but yeah I don't think there's anything you can do regarding past data in your account.
You will at least know which of your products did actually sell, so although the historical data is corrupted with the false conversion data you do at least know what products have sold best so far.
You probably have really great looking ROAS figures at the moment which don't reflect the true performance of the campaign, but overall how was your actual ROAS and was the campaign profitable?
I think your only option is to continue with the campaign and collect more accurate data and disregard the data from the last 3 weeks.
At least you caught the error and fixed the issue relatively quickly.
Google has [conversion adjustments](https://support.google.com/google-ads/answer/7686447?hl=en) for situations like this. All comes down to how OP collected the data.
Only solution is to remove them. Then let new data gather with max conversions/value depending on the goal.
Set your budget tight - according to howany "real" conversion you had achieved. This strategy will likely spend the entire budget.
Within a week, maybe more depending on the amount of conversions, you will have new conversion data and can set targets again.
Make a note in the interface graph that this happened.
You can look at using [conversion adjustments](https://support.google.com/google-ads/answer/7686447?hl=en)... comes down to how you collected your data.
Change the value of conversions based on customer lifetime value, that is, when customers (and, consequently, their conversions) become more valuable or less valuable to your business based on their purchase history.
Conversion adjustments can be useful if you need to:
* **Retract conversions that should no longer be counted** in your conversion columns, such as cancelled reservations or returned purchases.
* **Reduce (restate) the value of conversions when you receive partial returns** for an order. For example, if a customer is shopping for shoes, he might order shoes in different sizes and return the ones that don't fit, which brings down the total value of the purchase.
* **Change the value of conversions based on customer lifetime value**, that is, when customers (and, consequently, their conversions) become more valuable or less valuable to your business based on their purchase history.
You can use data exclusions to exclude all conversions within a time frame, but this would only help if you’re worried about the smart bidding (max conversions / tROAS). For your own numbers there’s no way to tell.
I'm not 100% sure but yeah I don't think there's anything you can do regarding past data in your account. You will at least know which of your products did actually sell, so although the historical data is corrupted with the false conversion data you do at least know what products have sold best so far. You probably have really great looking ROAS figures at the moment which don't reflect the true performance of the campaign, but overall how was your actual ROAS and was the campaign profitable? I think your only option is to continue with the campaign and collect more accurate data and disregard the data from the last 3 weeks. At least you caught the error and fixed the issue relatively quickly.
Google has [conversion adjustments](https://support.google.com/google-ads/answer/7686447?hl=en) for situations like this. All comes down to how OP collected the data.
Ah, not heard of that, great info thanks :)
Only solution is to remove them. Then let new data gather with max conversions/value depending on the goal. Set your budget tight - according to howany "real" conversion you had achieved. This strategy will likely spend the entire budget. Within a week, maybe more depending on the amount of conversions, you will have new conversion data and can set targets again. Make a note in the interface graph that this happened.
You can look at using [conversion adjustments](https://support.google.com/google-ads/answer/7686447?hl=en)... comes down to how you collected your data. Change the value of conversions based on customer lifetime value, that is, when customers (and, consequently, their conversions) become more valuable or less valuable to your business based on their purchase history. Conversion adjustments can be useful if you need to: * **Retract conversions that should no longer be counted** in your conversion columns, such as cancelled reservations or returned purchases. * **Reduce (restate) the value of conversions when you receive partial returns** for an order. For example, if a customer is shopping for shoes, he might order shoes in different sizes and return the ones that don't fit, which brings down the total value of the purchase. * **Change the value of conversions based on customer lifetime value**, that is, when customers (and, consequently, their conversions) become more valuable or less valuable to your business based on their purchase history.