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    Research / from the accounts we run

    Questions we could not answer, so we measured.

    Every study here starts with an argument we kept having with a client and could not settle from opinion. We run the numbers on the accounts we manage, publish the method, and publish the parts where the answer was no.

    Method
    Real client accounts, stated sample sizes, stated limits. No vendor data, no modelled panels, no gated download.
    Study 0161,098 keyword-weeks
    Does Amazon's SQP data reveal your organic rank?

    We matched daily organic rank against Search Query Performance across six US consumer brands, week by week. Impression share identifies the rank band reliably. It cannot see week-to-week movement.

    Amazon USSep 2025 to Jul 20266 brands
    Read the study
    Does Amazon's SQP data reveal your organic rank?
    How we publish

    Including the parts that did not work.

    A study that only reports what confirmed the hypothesis is marketing. The SQP paper's most useful finding is a failure: subtracting ad impressions to clean the signal made the proxy measurably worse.

    Our own accounts
    Data comes from brands we manage day to day, not a purchased panel. Sample sizes are stated up front.
    Method in the open
    Matching rules, thresholds and the metrics we judged against are all in the paper, so you can disagree with them.
    No gate
    Free to read, no email, no form. If a competitor gets better at this from reading it, fine.
    Usable thresholds
    Every study ends in numbers you can act on tomorrow, not a call to book a consultation.

    Got a question worth measuring?

    Most of these studies started as a client asking something we could not answer honestly. If you have one, send it over. It might become the next paper.