Hi,
We’re seeing a HUGE difference b/w spend/impressions/etc on the Twitter Analytics page (i.e. https://ads.twitter.com/accounts//campaigns_dashboard…) vs the API data (segmented by Location for example).
for instance, on the webpage (and the report you export from the webpage) has round # for Spend for a specific account/campaign/location/day (refer to Website screenshot). Whereas, in the API data, the same grouped data (billed_charge_local_micro/1000000) rarely sums up to match the value on the webpage and rarely it’s rounded evenly (refer to API/excel screenshot) like we see on the webpage.
Why are the values so different? Where are the spend/impressions/etc values on the website coming from? How does one match these values to API’s queried data?
Update: We pull API data based on Cities, Location, Device, and Gender segmentation type. Which type should we use to get matching data? Location?