CONNECTIONS / Snowflake / Snowflake to Snap Leads CAPI
Send Snap the leads your warehouse already marks as qualified.
A Snap lead form fill and a row your data team has flagged as qualified are not the same signal. Signals reads the qualification table and routes the stage change to Snap server-side, so campaigns learn the difference.
- ● snowflake → snap.leads_capi :: live
- > sync table LEAD_QUALIFICATION_TABLE rows=3,760
- hash sha256(email,phone)
- route snap.leads_capi conversion=stage_mapped
- ✓ delivered · match 68%
WHAT THIS ENABLES
Snowflake to Snapchat Leads Conversions API
Snowflake to Snapchat Leads Conversions API reads a lead-qualification table already maintained in your warehouse and routes the stage changes back to Snap server-side, so lead-based Snap campaigns optimize on the outcomes that predict revenue rather than raw form-fill counts.
- Lead-qualification changes delivered to Snap as server-side conversion events.
- Snap optimization weighted toward the same stage table your revenue reporting already uses.
- Closed-won revenue passed through for value-based bidding where the table carries it.
WHAT FLOWS WHERE
Snowflake to Lead Gen CAPI, mapped.
A scheduled Snowflake read picks up stage changes from the qualification table, hashes the contact identifiers on each, and posts the result to Snap's Leads Conversions API as a stage-mapped conversion.
A scheduled Snowflake read picks up stage changes from the qualification table, hashes the contact identifiers on each, and posts the result to Snap's Leads Conversions API as a stage-mapped conversion.
Built for the teams that own the number.
Teams already reading that table to feed Meta or Google who want parity on Snap.
From kickoff to verified events.
-
Connect
A read-only Snowflake role scoped to the qualification table carrying stage and identifier columns.
-
Map
Qualification stages mapped to Snap conversion events in the visual mapper.
-
Deliver
Each read delivers server-side, hashed and deduped, with delivery status monitored per row.
What ships with this use case.
Snap optimizing toward the same qualification signal your revenue team already trusts.
Qualification changes reaching Snap on the warehouse task's own schedule, with no export job to babysit.
Hashed, consent-aware identifier handling from the warehouse through to Snap.
What Lead Gen CAPI actually receives.
- ● signals :: event payload
- > POST /v2/conversion source=snowflake.LEAD_QUALIFICATION_TABLE
- event_type "QUALIFIED_LEAD" · event_conversion_type "OFFLINE"
- hashed_email "4ac910…" · hashed_phone_number "7e30bc…"
- timestamp 1784235300
- ✓ accepted · match=true
Adjacent moves on the same stack.
from Snowflake
Snowflake to Meta Conversion Leads
Snowflake to Meta CAPI for CRM reads a funnel-stage table already maintained in your…
Learn more
from Snowflake
Snowflake to Google EC for Leads
Snowflake to Google Enhanced Conversions for Leads reads a warehouse table that already…
Learn more
same use case
ActiveCampaign to Snap Leads CAPI
ActiveCampaign to Snapchat Leads CAPI: Signals reads your ActiveCampaign contacts and deal…
Learn moregeneric
Snap Lead Gen CAPI
Route qualified lead stages from your CRM back to Snap via server-side CAPI so campaigns…
Learn moreAsked on almost every call.
Which columns in our qualification table should we send back to Snap?
Whichever stages the table already marks as predictive of revenue, commonly a qualified flag and a closed-won flag. Snap's optimization needs steady volume on at least one of those down-funnel stages to learn anything useful, and the working session is where we settle on which column clears that bar first.
Is this limited to leads that originated from Snap Lead Generation Ads?
No. It works with rows from any originating source, since the pipeline reads the qualification table rather than the lead's origin. Running it alongside Snap Lead Generation Ads simply means that channel's own form fills get carried through to the same qualified status without a separate build.
How is this different from a one-time export of qualified leads to Snap?
A one-time export goes stale the moment the underlying table changes again, since the qualification list it captured reflects only that moment. This reads the table on a schedule instead, so every stage change the warehouse records reaches Snap automatically, without anyone remembering to rerun the export or reconcile which rows already went out.
NEXT STEP