Wednesday, March 5, 2014

Digest for - 2 Messages in 1 Topic


    Niels Schenk <> Mar 04 05:22AM -0800  

    I'm using the python library to request a report. I'm using quite a lot of
    dimensions which reduces many of the reported earnings per row to zero when
    rounded to two decimal places. This results in large discrepancies when
    adding up all earnings since earnings aren't zero but very small (<0.005).
    The solution we're trying out at the moment is calculating earnings based
    on INDIVIDUAL_AD_IMPRESSIONS_RPM. The problem is that when calculating the
    earnings metric ourselves by
    total earnings are off. They're not off by much. The difference is only
    0.01 based on reporting for one day. Still, we'd like to see no difference
    between total earnings reported by the API and total earnings that we
    calculate. Is there any way to make sure that total earnings for a given
    date range correspond to total earnings reported for a given date range,
    even when requesting a large number of dimensions?


    "Jose Alcérreca (AdSense API Team)" <> Mar 04 06:45AM -0800  

    Hi Niels,
    There's no way to get better EARNINGS I'm afraid, it's always going to be
    rounded hence the problems you're experiencing. Your clever hack is going
    to be as good as it gets.
    Jose Alcérreca
    Developer Relations
    Google UK Limited
    Registered Office: Belgrave House, 76 Buckingham Palace Road, London SW1W
    Registered in England Number: 3977902
    On Tuesday, 4 March 2014 13:22:58 UTC, Niels Schenk wrote:


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