D2C Fashion Brand - Data Analytics Stack | Turn Data Into Business Growth

Marketing Analytics Customer Analytics 📍 California, USA Shopify · DTC Fashion

Revenue & Marketing Optimization
for a Shopify D2C Fashion Brand

A growing fashion brand was spending heavily on Meta and Google Ads — but had no unified view of which spend was actually profitable. We connected all their data sources and gave them full clarity over true marketing ROI, customer lifetime value, and product profitability.

📈
+29%
Increase in Marketing ROI
💰
$22k
Saved monthly in ad waste
🔄
+34%
Repeat purchase rate
2.8×
True ROAS improvement

A Fast-Growing Shopify Brand Flying Blind on Profitability

A growing Shopify-based fashion brand in California had built a loyal customer base through Meta Ads and Google Ads — spending over $80,000 per month across both platforms. On the surface, revenue was growing. But the founder had no way to know which campaigns, products, or customer segments were actually generating profit after returns, discounts, and ad spend were accounted for.

Their data lived in four separate places — Shopify, Google Analytics, Facebook Ads Manager, and Klaviyo — and each platform reported different numbers. ROAS looked great in Meta Ads Manager but felt wrong when compared against actual revenue in Shopify. The leadership team was making major budget decisions based on numbers they didn't fully trust.

Four Problems Costing Real Money

Challenge 01

No single source of truth

Marketing ROAS looked different in every platform, confusing the leadership team and making budget decisions unreliable.

Challenge 02

Rising cost per acquisition

They couldn't track real-time CAC, true ROAS, LTV, and conversion rates together — making it impossible to optimise spend.

Challenge 03

Inaccurate profit margins

COGS, shipping, discounts, returns, and marketing spend were never combined — so true product profitability was unknown.

Challenge 04

Product performance confusion

It was unclear which products were truly profitable versus which were only driving revenue — a critical distinction at scale.

Four Interconnected Dashboards — One Clear Picture

We connected all four data sources into a single analytics foundation and built four dashboards that answered the questions the business actually needed to run on.

Customer Lifecycle Dashboard

  • Repeat purchase rate by cohort
  • Customer LTV by traffic channel
  • Customer journey funnel
  • New vs returning customer split

Profitability Engine

  • Net revenue after refunds & discounts
  • True cost of goods sold
  • Ad spend allocation per product
  • Net profit per SKU & campaign

Data Connection Across All Channels

  • Shopify orders, refunds & COGS
  • Meta Ads + Google Ads performance
  • Google Analytics traffic & conversions
  • Klaviyo email revenue attribution

Marketing & ROAS Dashboard

  • Platform ROAS vs true blended ROAS
  • CAC vs LTV ratio by channel
  • Funnel performance by campaign
  • Ad spend efficiency by audience

Clear Numbers. Confident Decisions. Real Growth.

Within 60 days of going live, the brand had full clarity over where their money was going — and where it was being wasted. Here's what changed:

+29%
Increase in Marketing ROI
True ROAS data exposed several non-profitable campaigns that were consuming 30% of the ad budget.
$22k
Saved monthly in ad waste
Stopped overspending on high-CAC channels that looked profitable in platform dashboards but weren't.
+34%
Repeat purchase rate
Klaviyo performance insights allowed targeted retention campaigns at exactly the right cohort.
3 hrs
Saved weekly on reporting
Fully automated data updates eliminated manual CSV exports and spreadsheet reconciliation entirely.

"Before this, growing our brand felt like guesswork. Now every marketing decision is backed by real data. We can clearly see which customers return, which products actually make money, and which ads drive real profit. It has completely changed how we run the business."

C
Co-Founder D2C Fashion Brand · California, USA
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