CustomerLabs
First-party data + signal engineering
Stop feeding your algorithm noise.
1PD Ops brands are scaling revenue goals.
Fix attribution loss and fragmented data first. Then engineer signals so Meta, Google, and TikTok learn from the orders you actually want more of.
SIGNALS THAT MATTER
Brands built for real growth map every campaign to a business goal
New Customer Acquisition
High Value Customers
Recurring Subscription
Offline Purchase Attribution
Category Scaling
Audience Activation Across All Ads
Omnichannel Retention
Catalog Optimization
Attribution & Analytics Reports
THE 1PD OPS MATURITY CURVE
Why Top Brands Invest in 1PD Ops Early
“Google and BCG found that brands deploying first-party data across all activation methods achieved 2.9× more revenue than brands that didn't.”
Source: “Reasonable Marketing With First-Party Data”, BCG.
First-Party Data Ops lets brands grow on to their business goals
First-Party Data Tracking and Algorithm Training
Most brands fix their tracking and stop there. First-party data ops is what happens when you go further.
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Robust server-side tracking to collect event and audience signals without loss and sync them with ad platforms seamlessly.
Setup Conversions API to Send Data Server-Side
Signal Engineering for Scaling Business Goals
Map your business goals with your campaigns
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Enhance new-customer acquisition by training Meta, Google, and TikTok algorithms with first-party signals so prospecting finds the right buyers.
Scale campaigns with New Customer (nCAC)
Stop trusting platform numbers. Measure with 1PD Attribution Analytics.
Connect BigQuery to build attribution reports by channel, revenue, or product using click-based and data-driven models.
What Your Campaigns Needs And What Has Been Missing
CLIENT RESULTS
Proof that signal engineering drives growth across every business model
Real results from brands using the same signal infrastructure you can deploy for your clients.
37% increase in ROAS by training the algorithm. Retaining the cookies and training algorithm using 1PD Ops.
Read full storyScaled 86% new customer. 14% lower CPP within 7-14 days after optimizing toward new-customer signals.
Read full storyIncremental revenue by re-activating Audience reactivation beyond 180 days.
Read full storyIncrease in revenue by 117%. Sustainable ROAS irrespective of trends and festive seasons.
Read full storyHear from the Signal Engineering Legends
SEE YOUR SIGNALS
See your signals in 30 minutes.
Book a demo and we will map the signal gaps limiting new-customer growth, revenue quality, and platform learning in your current commerce stack.
FAQ
Questions ecommerce teams ask before they switch
Most teams already have CAPI live. The real question is whether the platform is learning from the right purchase signal.
What is Shopify CAPI and why doesn't it improve ROAS on its own?
Shopify CAPI restores purchase event delivery — it fixes the volume problem from iOS 14. CustomerLabs adds the layer above: separating new vs. repeat buyers, firing AOV-segmented events, splitting prepaid from COD orders, and routing refund retractions. The delivery problem is solved. The training problem is what CustomerLabs fixes.
Can Shopify CAPI separate new customers from repeat buyers?
No. Shopify CAPI sends every purchase as the same generic event — Meta and Google can't tell first-time buyers from repeat ones. CustomerLabs tags each order with new_customer = true/false at the source, so your prospecting campaigns optimise toward first-time purchasers and your retention campaigns optimise toward returning ones.
Can ecommerce conversion tracking handle COD and fulfillment feedback?
Yes. CustomerLabs sends only prepaid purchases as your conversion signal — COD orders are filtered out. When an order is fulfilled, cancelled, or refunded, that status flows back to Meta and Google as well, so the platforms learn from real revenue, not gross checkouts. RTO drops, prepaid mix improves, and margin per order rises.
How do I send high-AOV or category-level purchase signals to Meta and Google?
CustomerLabs lets you define the signal per campaign. Set a rule — order_value > ₹5,000, or category = 'skincare', or subscription_started = true — and only matching purchases fire as the conversion event. Meta's and Google's algorithms then optimise toward that specific business outcome, not a flat purchase count.
How long does better ecommerce conversion tracking take to change performance?
Most brands see EMQ scores climb to 8–10 within the first week of deploying CustomerLabs. Campaign learning shifts follow within 7–14 days as Meta and Google retrain on the new signals. CPP, new-customer share, and ROAS typically move meaningfully inside the first 30 days.
Do we need engineers to move beyond Shopify's default conversion tracking?
No. CustomerLabs is built for ecommerce marketers, not developers. Shopify and WooCommerce setups use a plugin with no code required. Other platforms drop in a JavaScript snippet. Most teams are live within 30 minutes — and signal rules are configured through the dashboard, not deployed by engineering.
What is Shopify CAPI and why doesn't it improve ROAS on its own?
Shopify CAPI restores purchase event delivery — it fixes the volume problem from iOS 14. CustomerLabs adds the layer above: separating new vs. repeat buyers, firing AOV-segmented events, splitting prepaid from COD orders, and routing refund retractions. The delivery problem is solved. The training problem is what CustomerLabs fixes.
Can Shopify CAPI separate new customers from repeat buyers?
No. Shopify CAPI sends every purchase as the same generic event — Meta and Google can't tell first-time buyers from repeat ones. CustomerLabs tags each order with new_customer = true/false at the source, so your prospecting campaigns optimise toward first-time purchasers and your retention campaigns optimise toward returning ones.
Can ecommerce conversion tracking handle COD and fulfillment feedback?
Yes. CustomerLabs sends only prepaid purchases as your conversion signal — COD orders are filtered out. When an order is fulfilled, cancelled, or refunded, that status flows back to Meta and Google as well, so the platforms learn from real revenue, not gross checkouts. RTO drops, prepaid mix improves, and margin per order rises.
How do I send high-AOV or category-level purchase signals to Meta and Google?
CustomerLabs lets you define the signal per campaign. Set a rule — order_value > ₹5,000, or category = 'skincare', or subscription_started = true — and only matching purchases fire as the conversion event. Meta's and Google's algorithms then optimise toward that specific business outcome, not a flat purchase count.
How long does better ecommerce conversion tracking take to change performance?
Most brands see EMQ scores climb to 8–10 within the first week of deploying CustomerLabs. Campaign learning shifts follow within 7–14 days as Meta and Google retrain on the new signals. CPP, new-customer share, and ROAS typically move meaningfully inside the first 30 days.
Do we need engineers to move beyond Shopify's default conversion tracking?
No. CustomerLabs is built for ecommerce marketers, not developers. Shopify and WooCommerce setups use a plugin with no code required. Other platforms drop in a JavaScript snippet. Most teams are live within 30 minutes — and signal rules are configured through the dashboard, not deployed by engineering.