Beton × Pocus

Feed Pocus with Fresh Product Signals

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.

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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.

Start enriching leads in minutes

Spin up Beton in the cloud or self-host it, connect Pocus, and start shipping enriched leads straight into your CRM.

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X (Twitter): @stochasticmacaw
LinkedIn: Company page
LinkedIn: Vlad Nadymov
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