CONNECTIONS / PostgreSQL / PostgreSQL to Snap Leads CAPI
Your PostgreSQL tables, wired to Snapchat qualified-lead reporting.
Signals reads your PostgreSQL tables through a read-only database user scoped to the PostgreSQL tables you name, then sends qualified-lead events so Snapchat bids toward leads that convert offline so Snapchat sees lead conversions without an export.
- ● postgresql → snap.capi :: live
- > read lead_pipeline rows=36,686
- hash sha256(email,phone) consent=filtered
- route snap deliver
- ✓ delivered · 29,716 matched
WHAT THIS ENABLES
PostgreSQL to Snapchat Leads CAPI
Snapchat Leads CAPI for PostgreSQL: Signals sends qualified-lead events so Snapchat bids toward leads that convert offline straight from your PostgreSQL tables, hashed and consent-screened each time the read runs.
- Signals sends qualified-lead events so Snapchat bids toward leads that convert offline, reading your PostgreSQL tables each time the read runs.
- Spend steered toward leads that qualify, with no export step out of your PostgreSQL tables.
WHAT FLOWS WHERE
PostgreSQL to Lead Gen CAPI, mapped.
Signals reads the qualified-lead and pipeline signals from your PostgreSQL tables each time the read runs, hashes and screens each record, and posts the lead conversions to Snapchat's Leads Conversions API, keeping qualified-lead signals in view.
Signals reads the qualified-lead and pipeline signals from your PostgreSQL tables each time the read runs, hashes and screens each record, and posts the lead conversions to Snapchat's Leads Conversions API, keeping qualified-lead signals in view.
Built for the teams that own the number.
Engineering teams running PostgreSQL who need Snapchat optimizing on qualified leads instead of raw submissions out of PostgreSQL tables.
From kickoff to verified events.
-
Connect
A read-only database user scoped to the PostgreSQL tables you name, mapped to Snapchat's Leads Conversions API and tuned for qualified-lead signals.
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Map
Columns from your PostgreSQL tables align to Snapchat's Leads Conversions API in the visual mapper, hashed as the read runs and checked for qualified-lead signals.
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Deliver
Each time the read runs, Signals reads your PostgreSQL tables and sends qualified-lead events so Snapchat bids toward leads that convert offline, reads only the records changed since the last run, with qualified-lead signals watched in the debugger.
What ships with this use case.
Snapchat optimizing on qualified leads instead of raw submissions from your PostgreSQL tables, delivered each time the read runs.
Spend steered toward leads that qualify out of your PostgreSQL tables, delivered each time the read runs without read load on the database climbing.
Match feedback on qualified-lead signals from Snapchat's Leads Conversions API each run, tied back to your PostgreSQL tables.
What Lead Gen CAPI actually receives.
- ● signals :: event payload
- > POST /v2/conversion source=postgresql.lead_pipeline
- event_type "QUALIFIED_LEAD" · event_conversion_type "OFFLINE"
- hashed_email "4ac910…" · hashed_phone_number "7e30bc…"
- timestamp 1784465874
- ✓ accepted · match=true
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How often does the PostgreSQL Snap Leads CAPI sync run?
Delivery tracks PostgreSQL, run by engineering teams running PostgreSQL: a near-real-time or scheduled sync of your PostgreSQL tables feeds Snapchat on that cadence. Each run reads only the records changed since the last run, so spend steered toward leads that qualify holds up on qualified-lead signals. The live debugger confirms every delivery inline.
What match rate should a PostgreSQL-sourced Snap Leads CAPI batch expect?
Coverage of hashed identifiers across your PostgreSQL tables decides it, and engineering teams running PostgreSQL own that inside PostgreSQL. A live email or phone matches into Snapchat; neither, and it will not. First-run feedback flags qualified-lead signals, which engineering teams running PostgreSQL then raise inside your PostgreSQL tables.
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