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    CONNECTIONS / Redshift

    Redshift + Datahash: activate the warehouse you already report from.

    Your Redshift tables hold purchases, leads, LTV scores, and offline sales your ad platforms never see. Signals reads them on a schedule through a scoped IAM role and delivers them hashed and consent-aware.

    redshift :: live

    1. ● redshift :: signals live
    2. > data api read sales.pos_fact rows=57,410
    3. > materialized view high_value_customers
    4. hash sha256(email,phone) role=iam_read_only
    5. route meta · google · tiktok · snap · linkedin
    6. ✓ 5 destinations synced · match 85%
    WHAT FLOWS THROUGH REDSHIFT

    The signal Redshift yields, and receives.

    Every kind of signal that moves between Redshift and the platforms, through one hashed, deduplicated route.

    What flows Every platform Offline conversions Lead conversions Custom audiences Lead generation Signals hash · dedupe· route Google Meta Snap TikTok LinkedIn OpenAI
    Offline conversions
    Point-of-sale and closed-won tables leave Redshift hashed and matched to the campaign that drove the sale.
    Lead conversions
    Opportunity-stage tables read through the Data API arrive as conversion events without an UNLOAD to S3.
    Custom audiences
    A high-value segment defined once in SQL becomes a hashed, scheduled audience with no CSV export.
    Lead generation inbound
    Renewal and subscription events sync as the materialized view refreshes, keeping recurring revenue in bidding.
    USE-CASE LISTING

    Pick your platform. Every use case for it, in one place.

    Every way Redshift data moves, grouped by platform and ranked by how many use cases Redshift supports.

    Google 5 Meta 4 Snap 4 TikTok 4 LinkedIn 3 OpenAI 1
    HOW IT CONNECTS

    From authorization to delivered signal.

    1. Connect

      Connect with a scoped read-only IAM role.

    2. Map

      Map columns to event fields and match keys in the visual mapper.

    3. Hash and consent

      Hashing and consent flags applied at read.

    4. Deliver

      Scheduled or incremental delivery, with per-destination match feedback.

    FAQ

    Redshift questions, answered.

    Does Datahash copy our warehouse?

    No. Reads run through the Redshift Data API against a scoped IAM role, delivery is event-level, and nothing from your cluster is copied to our side. Identifiers are SHA-256 hashed before rows leave Redshift, and a self-hosted Core deployment is available when data cannot leave your perimeter, in which case the hashing happens inside your own environment.

    How fresh is the sync?

    On the schedule your materialized views already refresh, from every 15 minutes to weekly, with reads that touch only rows changed since the last run. A view rebuilt nightly delivers nightly and one refreshed every few minutes delivers close to real time, so RA3 load stays low with no full re-scan and no UNLOAD to S3.

    Who writes the SQL?

    You point Signals at a table or a materialized view and the mapper handles the rest, so no new SQL or export job is needed to feed a platform. Custom views are welcome when you want to pre-shape the data, and the mapping can change later without granting the IAM role any new access.

    NEXT STEP

    See your Redshift data working in every ad platform.

    Ready to enable a use case, or still mapping what Redshift data could do? Our team helps you find the right place to start.