D2C and Retail Fashion (Online + Offline blend)

8 Person Growth and Analytics Team

Shopify (online), POS data (offline stores), Meta Ads, Google Ads, MoEngage, Northbeam

A Multi-Channel Fashion Brand Finally Got Attribution Right Across Online and Offline

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The Problem

The brand sold through three channels. Their Shopify store, two offline retail outlets, and a wholesale network. Meta and Google were driving a meaningful share of footfall to stores, but none of that was showing up in ad platform ROAS. So on paper, their campaigns looked average. In reality they were doing a lot more work than the numbers suggested. The deeper problem was that they had no single version of the truth. Meta said ROAS was 2.2x. Google said 3.1x. Northbeam was showing a blended number that didn't match either. Their MoEngage email and push campaigns were generating revenue too, but that attribution was sitting in a completely separate system. Every platform was taking credit. Nobody could agree on what was actually driving growth. The team was making budget decisions based on whichever number felt most trustworthy that week. That's not a strategy. That's guessing.

The Problem

How They Use Predflow

This is where Predflow's Semantic Layer and first-party pixel made a real difference. Rather than stitching together data from platform-reported numbers, Predflow's pixel captures the customer journey directly, from the first ad impression to the final purchase, across online and offline touchpoints. Combined with the Semantic Layer, metrics like ROAS and new customer are defined once and mean the same thing whether you're looking at Meta, Google, offline POS, or MoEngage:

With Predflow's Web pixel handling attribution data collection and its Semantic Layer sitting on top of all connectors, the team could finally ask questions that were impossible before

"What is our true blended ROAS including offline store revenue from Meta-led customers?""Show me the assisted conversion value of Google campaigns across both online and offline channels over the last 90 days"
Which MoEngage campaigns are driving repeat purchases from customers originally acquired through paid social (Meta)?
Compare first-touch vs last-touch attribution for our top 5 campaigns this quarter
Meta is showing 1.5x ROAS on our prospecting campaign, is this actually bringing in first-touch users who are converting later through other channels? Or should we pause it?
The team uses these answers to hold a weekly attribution review where budget decisions are made on agreed numbers, not platform-reported ones.

The Results

All metrics represent approximate results. Individual outcomes will vary based on industry, ad spend, product-market fit, and connector configuration.

"We were about to pause our Meta campaign because the ROAS looked terrible: 1.5x. Predflow showed us that 60% of customers who converted that month had their very first touchpoint on that exact campaign. We were looking at last-touch numbers and making first-touch decisions. That one insight saved a campaign we'd have killed, and two weeks later our retargeting pool was 40% larger. We now never make a budget call without checking the attribution on Predflow first."

Head of Growth and Analytics

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