Well, you can't accurately aggregate those results. To do so, you would 
need a replacement value for "<10%" and ">90%", and, whatever you do you 
know you will be wrong. And even if you have none of such values I doubt 
the numbers add up. For instance, on campaign level the number of missed 
impressions because of insufficient campaign budget is included. It's 
doubtful such numbers are also included on lower levels. But that is a 
discussion to be held outside this forum, as it's not related to API.

Anyway - the only solution is to download more reports, with different 
settings. In our case, we also have results segmented by date, and 
therefore we download aggregated by day, by month, and by quarter. Not nice 
but there is no other way. Although requested, we decided NOT to download 
per week or US-week, the latter goes from Sunday till Saturday. Sacrifices 
are needed here.
In your case I suggest to download by keyword AND group AND campaign AND 
account (four reports). And, if necessary, download these reports with and 
without segments device and network, bringing you to sixteen reports per 
account.


Further, you mentioned you are doing this because of the sunset of average 
position. You should realize impression share is a different metric.


Hope this helps.





On Tuesday, September 17, 2019 at 12:34:34 AM UTC+2, Jamie Tomkins wrote:
>
> We're trying to aggregate the data pulled from the keywords performance 
> report up through the hierarchy - keyword>ad group>campaign>account (the 
> data is also segmented by device and network). However we're having issues 
> with the various imp. share values as the ">10%" results are making it 
> impossible to aggregate upwards accurately. There are big discrepancies 
> between our numbers and what we're seeing in the online interface
>
> We need some sort of view on this for internal reporting and are 
> struggling to come up with a solution. Is anyone else looking at doing this 
> with the sunsetting of avg pos/does anyone know any way around the issue?
>

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