CONNECTIONS / Databricks / Databricks to Meta Conversion Leads
Your Databricks lakehouse, wired to Meta Conversion Leads bidding.
Signals reads the Delta table through a Unity Catalog grant and reports lead-stage progress so Meta bids toward qualified pipeline, hashed on the way out and governed like any other lakehouse job.
- ● databricks → meta.leads :: live
- > read main.crm.pipeline_stages rows=13,500
- hash sha256(email,phone) consent=filtered
- route meta deliver
- ✓ delivered · 10,665 matched
WHAT THIS ENABLES
Databricks to Meta CAPI for CRM
Databricks to Meta CAPI for CRM: A notebook job reads the qualified-lead and pipeline signals in your Databricks Delta tables, and Signals reports lead-stage progress so Meta bids toward qualified pipeline, hashed and consent-checked each time the model rebuilds.
- Signals reports lead-stage progress so Meta bids toward qualified pipeline, reading your Databricks Delta tables each time the model rebuilds.
- Meta bidding tuned to the lead stages that become revenue, fed by data engineers modeling in Databricks notebooks.
WHAT FLOWS WHERE
Databricks to CAPI for CRM, mapped.
The notebook job streams qualified-lead and pipeline signals into Signals for hashing and consent screening, then Meta's Conversion Leads API records the lead conversions with lead-stage selection accounted for.
The notebook job streams qualified-lead and pipeline signals into Signals for hashing and consent screening, then Meta's Conversion Leads API records the lead conversions with lead-stage selection accounted for.
Built for the teams that own the number.
Data engineers modeling in Databricks notebooks who need Meta bidding tuned to the lead stages that become revenue.
From kickoff to verified events.
-
Connect
A Unity Catalog-scoped service principal on the single Delta table in play to feed Meta's Conversion Leads API, sized for lead-stage selection.
-
Map
A notebook job reads your Databricks Delta tables, and its columns map to Meta's Conversion Leads API in the visual mapper, hashed and checked for lead-stage selection.
-
Deliver
Each time the model rebuilds, Signals reports lead-stage progress so Meta bids toward qualified pipeline, reads only the rows the model rebuilt, with lead-stage selection watched in the debugger.
What ships with this use case.
Meta bidding tuned to the lead stages that become revenue on every run, since Signals reads only the rows the model rebuilt.
Bids weighted to revenue-grade lead stages, delivered each time the model rebuilds without job-cluster time climbing.
Each run returns a match report on lead-stage selection from Meta's Conversion Leads API, read from your Databricks Delta tables each time the model rebuilds, at flat job-cluster time.
What CAPI for CRM actually receives.
- ● signals :: event payload
- > POST /conversion_leads source=databricks.main.crm.pipeline_stages
- event_name "Purchase" · value 1478 AED
- em sha256 "6f2a91…" · ph sha256 "d40c7e…"
- lead_id "lsh_78324" · action_source "system_generated"
- ✓ accepted pii=hashed-at-ingestion
Adjacent moves on the same stack.
from Databricks
Databricks to Google EC for Leads
Databricks to Google EC for Leads: A notebook job reads the qualified-lead and pipeline…
Learn more
from Databricks
Databricks to TikTok CRM
Databricks to TikTok CRM Integration: A notebook job reads the qualified-lead and pipeline…
Learn more
same use case
ActiveCampaign to Meta Conversion Leads
ActiveCampaign to Meta CAPI for CRM: Signals reads your ActiveCampaign contacts and deal…
Learn moregeneric
Meta CAPI for CRM
Datahash ingests lead status from your CRM and sends Meta the qualified events it needs to…
Learn moreAsked on almost every call.
How often does the Databricks Meta Conversion Leads sync run?
Cadence follows the job that rebuilds the table: a nightly model gives Meta a nightly feed, an hourly one an hourly feed. Because a run picks up only the rows the model rebuilt, Meta bidding tuned to the lead stages that become revenue keeps pace on lead-stage selection and job-cluster time stays modest.
What match rate should a Databricks-sourced Meta Conversion Leads batch expect?
Identifier quality in the Delta table drives it, not the cluster size. Rows carrying a live hashed email or phone land; rows with neither will not, and no rebuild changes that. The opening run's feedback from Meta's Conversion Leads API flags the gap for Meta lead-gen advertisers whose lead quality swings more than volume tracking lead-stage selection.
NEXT STEP