Hi Ryan,

Thank you for reaching out to the Google Ads API support team.

With regards to your question, you mentioned that this is about an issue 
with the match rate between Google Ads API and Google Ads UI. Having said 
that, could you please provide an uncropped Google Ads UI screenshot and 
the complete *request* 
<https://developers.google.com/google-ads/api/docs/concepts/field-service#request>
 and *response* 
<https://developers.google.com/google-ads/api/docs/concepts/field-service#response>
 logs 
with *request ID* 
<https://developers.google.com/google-ads/api/docs/concepts/call-structure#request-id>
 and *request header* 
<https://developers.google.com/google-ads/api/docs/concepts/call-structure#request_headers>
 generated 
on your end so our team can provide guidance accordingly? If you haven't 
yet, logging can be enabled by navigating to the Client libraries > Your 
client library (ex. Java) > Logging documentation, which you can access 
from this link 
<https://developers.google.com/google-ads/api/docs/client-libs?hl=en>. You 
may then send the requested logs via the *Reply privately to author* 
option. If this option is not available, you may send the details directly 
to our [email protected] alias instead.

Furthermore, with regards to the 429 error, please see this API 
documentation 
<https://developers.google.com/google-ads/api/docs/best-practices/quotas#grpc_limitations>
 
for more information about the said error.

Regards,
Carmela
Google Ads API Team
On Friday, November 25, 2022 at 12:11:26 PM UTC+8 Dung Vien wrote:

> Hi adsapi team,
> We are having an issue with match rate between Google Ads API and Google 
> Ads UI
>
> Reproduce steps:
> 1. Get raw data from local DWH with PHONE(in E.164 format) and EMAIL(with 
> lower and uppercase) columns 
> 2. Hash both columns with SHA256 encryption without normalizing the email 
> (yes, I'm aware that the doc told me to normalized it before hashing) and 
> write to csv file
> 3. Manually upload the csv file to audience A  - got match rate of 91-100% 
> and audience size of 1M-1.2M 
> 4. Using Google Ads API to upload the same csv file to audience B - got 
> match rate of 81-90% and audience size is 760K - 850K
>
> I've tried normalized the data before hashing, for the Google Ads UI it 
> stay the same, but Google Ads API method drop drastically both in match 
> rate and audience size
>
> I got some problems with "429 Resource has been exhausted (e.g. check 
> quota)" before, but i've fixed it by rerun 
> "AddOfflineUserDataJobOperationsRequest" to the same 
> "offline_user_data_job_resource_name", not sure if it cause some operations 
> to miss out 
>
> I can provide you the user list ids, request-response logs and the python 
> script if necesary
> Best regards,
> Ryan
>

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