Ensure your Product-Led Sales motion is powered by real-time, clean data.
Pocus scores leads based on product usage, but it needs clean, timely data. Beton acts as the data cleaning layer, ensuring Pocus has the freshest signals from your warehouse and analytics tools.
Open sourceSelf-hostableBring your own keys100+ integrations
Garbage In, Garbage Out
Pocus is only as good as the data feeding it. If your warehouse tables are messy or syncs are delayed, your PLS motion fails. Beton cleans and standardizes data before it reaches Pocus.
Dirty Data
Product usage data has duplicate user IDs and null values, making Pocus scoring unreliable.
Latency Issues
Data syncs run once a day, so high-intent signals don't reach sales reps until it's too late.
Manual Formatting
Engineers spend hours formatting warehouse tables to match Pocus's expected schema.
Why Connect Pocus to Beton
Beton handles the messy middle between your data sources and Pocus. It cleans, deduplicates, and formats data so Pocus can focus on scoring while you focus on selling.
Beton is an open-source Clay.com alternative that orchestrates 100+ enrichment
providers in one flow, including Pocus.
Instead of wiring Pocus directly into
dozens of forms and scripts, you plug it into Beton once, define rules, fallbacks,
and mapping, and send clean data into your CRM or warehouse.
Run Beton in the cloud or self-host it as a Docker container under MIT license, keep
your Pocus usage compliant, and avoid
vendor lock-in.
How Beton works
Connect once, orchestrate everywhere. Beton handles the wiring so GTM teams focus on targeting, not glue code.
1
Connect Sources
Link your warehouse (Snowflake/BigQuery) and analytics tool (PostHog/Mixpanel) to Beton.
2
Define Cleaning Rules
Set up deduplication and validation logic to ensure data quality.
3
Link Pocus
Connect your Pocus workspace and map the clean data to Pocus objects.
4
Stream Data
Activate the pipeline. Pocus now operates on pristine, real-time data.
Concrete ways GTM teams combine Beton and
Pocus.
Real-Time Usage Sync
Stream product events from Segment or PostHog into Pocus with sub-minute latency.
Data Cleaning Pipeline
Automatically deduplicate user records and standardize company names before syncing to Pocus.
Multi-Source Enrichment
Combine signals from multiple tools (usage + firmographics + intent) before feeding them to Pocus for comprehensive scoring.
FAQ about Beton and Pocus
What data can I send to Pocus?
Product events, user attributes, company firmographics, and intent signals.
Does it clean data?
Yes. Beton deduplicates, normalizes, and validates data before syncing.
How fast is it?
Near real-time. Signals reach Pocus within seconds of the trigger event.
Can I combine sources?
Absolutely. Merge data from warehouse, CRM, and analytics before sending to Pocus.
Who uses this?
Product-Led Growth teams and Data Engineers supporting PLS motions.
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