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    CONNECTIONS / Vultr / Vultr to Google Customer Match

    From Vultr Object Storage files to Google Customer Match.

    Connect Vultr and point Signals at your Vultr Object Storage files; it projects your segments into Google Ads as Customer Match lists each time a new file lands, hashed and consent-checked for Google Ads.

    Talk to our team Explore the setup

    vultr -> google-customer-match :: live

    1. ● vultr → google.match :: live
    2. > read segments rows=55,541
    3. hash sha256(email,phone) consent=filtered
    4. route google deliver
    5. ✓ delivered · 49,987 matched

    WHAT THIS ENABLES

    Vultr to Google Customer Match

    Vultr to Google Customer Match: Signals reads your Vultr Object Storage files and projects your segments into Google Ads as Customer Match lists, hashed and consent-checked each time a new file lands.

    • Customer segments from your Vultr Object Storage files activated for Google Ads, as Signals projects your segments into Google Ads as Customer Match lists.
    • Customer Match lists that add joiners and drop lapsed members each sync, drawn from your Vultr Object Storage files by developers on Vultr Object Storage.

    WHAT FLOWS WHERE

    Vultr to Customer Match, mapped.

    Signals picks up the customer segments from your Vultr Object Storage files; Signals hashes and consent-screens each record before Google Ads' Customer Match API accepts the match-ready audiences for the serving-size threshold.

    Signals picks up the customer segments from your Vultr Object Storage files; Signals hashes and consent-screens each record before Google Ads' Customer Match API accepts the match-ready audiences for the serving-size threshold.

    WHO THIS IS FOR

    Built for the teams that own the number.

    Growth teams feeding Google audiences from governed first-party data, with the records already in Vultr Object Storage buckets and objects.

    Developers on Vultr Object Storage activating Google Customer Match straight from Vultr Object Storage files.

    HOW DATAHASH SETS IT UP

    From kickoff to verified events.

    1. Connect

      A read-only S3 key scoped to the Vultr bucket you name to feed Google Ads' Customer Match API, sized for the serving-size threshold.

    2. Map

      Signals picks up your Vultr Object Storage files, and its columns map to Google Ads' Customer Match API in the visual mapper, hashed and checked for the serving-size threshold.

    3. Deliver

      On each run, Signals pulls your Vultr Object Storage files, projects your segments into Google Ads as Customer Match lists, and processes only the newly dropped file, with the serving-size threshold in the debugger.

    WHAT YOU GET

    What ships with this use case.

    Customer Match lists that add joiners and drop lapsed members each sync on every run, as Signals reads your Vultr Object Storage files and processes only the newly dropped file.

    Lists that self-maintain across syncs from your Vultr Object Storage files, with transfer overhead steady because Signals processes only the newly dropped file.

    A per-run match report from Google Ads' Customer Match API on the serving-size threshold, straight out of your Vultr Object Storage files.

    ON THE WIRE

    What Customer Match actually receives.

    signals :: vultr.google-customer-match :: wire

    1. ● signals :: audience upload
    2. > POST /user_list_operations source=vultr.segments
    3. operation ADD · user_list "segment_73723"
    4. hashed_email sha256 "b02cf1…" · hashed_phone sha256 "3ad990…"
    5. members_uploaded 55,541 · members_matched 49,987
    6. ✓ accepted match=90%
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    FAQ

    Asked on almost every call.

    How often does the Vultr Google Customer Match sync run?

    You set the cadence, from near-real-time to a nightly Vultr sync of your Vultr Object Storage files into Google Ads. Since Signals processes only the newly dropped file, Customer Match lists that add joiners and drop lapsed members each sync keeps pace and developers on Vultr Object Storage watch the serving-size threshold. One scoped connection sets it up, cadence adjustable later.

    What match rate should a Vultr-sourced Google Customer Match batch expect?

    In Vultr, match rate tracks the email and phone quality your Vultr Object Storage files carry. Clean identifiers land for Google Ads; blank ones never will. The first Customer Match API report shows developers on Vultr Object Storage where the serving-size threshold needs work, a data-quality task handled in Vultr.

    NEXT STEP

    Vultr to Google Customer Match, in production this week.

    Talk to our team All Vultr use cases