DATA COLLECTION
Bring store purchases, CRM stages, and backend events into your ad platforms.
Your store knows every order. Your CRM knows which leads closed. Meta and Google see neither. CustomerLabs connects them.
Pull from your store, CRM, webhooks, POS, and backend systems. Filter, transform, and send clean events to Meta, Google, and LinkedIn.
WITHOUT THIS
You have the data. It never reaches the algorithm.
Zapier and CSV uploads move data. They don't control event names, identity, or field mapping. Ad platforms get noise.
Revenue data stays outside your campaigns
Purchase events, CRM stages, offline sales — your ad platform never sees them. It optimizes on clicks instead.
Junk events train your algorithm
Unfiltered source data reaches Meta and Google. The algorithm learns from noise.
Every source change needs a dev ticket
New CRM stage? New webhook? Marketers wait weeks for engineering.
Marketers can shape and standardize source data before it ever reaches an ad platform, instead of stitching together disconnected native connectors and CSV handoffs.
HOW IT CONNECTS
Store, CRM, and backend data → CustomerLabs → every ad platform
Your data
EcommerceCRMWebhooksPOSCollect
Filter junk events. Map user identity. Standardize field names. Route clean signals to Meta, Google, GA4, and LinkedIn.
Process
Filter, transform, resolve identity
Deliver
Route to every connected platform
Your platforms
MetaGoogle AdsGA4LinkedIn“CustomerLabs transformed our data accuracy and ad performance. Server-side event tracking, easy setup, and seamless integration with Facebook and Google Ads. 180-day persistent customer audiences. Exceptional support.”
HOW IT WORKS
Connect a source. Shape the data. Send it.
No code. No CSV exports. No engineering sprints.
Connect
Add your ecommerce platform, CRM, webhooks, POS, or any backend source. CustomerLabs ingests the raw events.
Filter
Drop junk events. Keep only the stages, statuses, and actions your campaigns need.
Transform
Rename events. Map fields. Attach user identity so platforms can match the conversion.
Route
Send clean events to Meta CAPI, Google Ads, GA4, LinkedIn — all from one place.
Test filters on sample data. Keep only the events worth sending.
WORKFLOW CONTROL
Rename, filter, and enrich events before they hit your ad platform
Raw source data is messy. Clean it before any platform sees it.
Rename events on intake
Split 'purchase' into 'new_customer_purchase' and 'repeat_purchase'. Turn 'status_changed' into 'SQL_qualified'.
Attach deal value and category
Add deal value, product category, or lead score. Platforms can't optimize on what they can't see.
Standardize across sources
CRM, webhook, and backend events arrive in one schema. Every destination gets the same payload.
Rename fields, filter junk, and standardize events before delivery.
MONITORING & DEBUGGING
See every event from ingestion to delivery
Real-time visibility into what's flowing, what's failing, and why.
Event delivery logs
See every event sent to every destination — status, timestamp, payload, and errors.
Source health monitoring
Track which sources are active, which are dropping events, and which have schema drift.
Preview before you ship
Test sample events before going live. Catch missing fields or broken identity mapping.
Debug without engineering
Trace any event from source to destination. Find the problem in minutes, not days.
Enrichment and workflow visibility keep source data trustworthy.
WHAT THIS UNLOCKS
Once source data flows clean, you can:
Clean source data is the foundation.
Create business-specific conversion events
New-customer purchase, high-AOV order, MQL, SQL, Closed-Won. Each as a separate signal.
See offline conversionsBring offline purchases into attribution
POS and in-store transactions map back to the original ad click.
Add backend events to your signal stack
Subscription renewals, feature activations, support tickets — any backend action becomes a signal.
RESULTS
Results from teams that fixed their source data
Real brands. Real metrics.
MECHANISM PROOF
4-step workflowConnect source → filter junk → transform fields → route to platforms
Visual workflow for sources, filters, transforms, and routing. No engineering required.
CUSTOMER PROOF
+20%Fateh sent CRM stages to Meta as conversion events
Lead-to-opportunity ratio improved 20%. Click-to-conversion improved 12%. The algorithm learned what a real lead looks like.
Read the Fateh case study →“Excellent first-party tracking without the gimmicks. We identify more customers than other services and feed that data back into Meta and Google to target users who are actually purchasing.”
FAQ
Common questions about data collection
Direct answers first.
What data sources does CustomerLabs support?
Website, ecommerce platforms (Shopify, WooCommerce, Magento, BigCommerce, custom stores), CRM (HubSpot, Salesforce, Zoho), webhooks, POS systems, backend APIs, and offline event imports.
Can I send purchase events or CRM stages to Meta as conversions?
Yes. For ecommerce: send new-customer purchases, high-AOV orders, or category-specific events. For lead-gen: send MQL, SQL, Opportunity, or Closed-Won. Each becomes a separate conversion event.
Why not use Zapier or native CRM integrations?
Zapier moves data but doesn't control event names, user identity, or field mapping. CustomerLabs standardizes the payload so ad platforms can use it.
Do I need a developer to set this up?
No. Marketers configure sources, filters, transforms, and routing in a visual workflow builder. No code required.
How fast can I go live?
Most teams connect their first source and send events within a day. Complex CRM integrations take 2-3 days.
READY TO DEPLOY
Stop letting purchase data and CRM stages sit outside your campaigns.
Connect your sources. Shape the events. Send clean signals. Book a demo.