D2C CUSTOMER ANALYTICS

Turning your customer data into revenue

Figure out who your best customers are, what and why they buy

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The Problems D2C Brands Face

↑
Rising CAC, shrinking margins
↻
Guessing why customers churn - and buy
▦
Bundles and promos built on gut feeling, not data
⏤
Growth plateaued with no clear reason why

This Lead To

$
Wasted ad spend - acquiring low-value customers
◐
Silent churn - losing high-value customers with no early warning
▦
Missed cross-sell - leaving revenue on the table every order
≈
Guesswork compounds with bundles, promo, and campaign decisions

My Approach

RFM
RFM — Who's Valuable
Recency, Frequency, Monetary segmentation
MBA
Market Basket — What They Buy Together
Product affinity & bundling analysis
JTBD
Jobs To Be Done — Why They Buy
The real motivation behind purchases

What Customer Understanding Unlocks

P
Positioning
Sharper messaging for new customers → lower CAC
P
Product
Build/improve what customers actually need, not what you assume
P
Place
Smooth the customer journey, cut friction → higher CVR
P
Promotion
Target ads around real customer problems → improved ROAS

Case Studies

CASE STUDY 1 / 3
MarieMur (lingerie)

JBTD-blind messaging is leaving your best customers underserved and focusing on the wrong segments.

MarieMur (lingerie) case study
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Packages

Starter
Know who your valuable customers are
  • ✓RFM segmentation
  • –Market basket analysis
  • –Jobs-to-be-done research
  • ✓Presentation + dashboard
  • –Customer interviews
Book a call
Growth
Add what they buy together, for smarter bundles and promos
  • ✓RFM segmentation
  • ✓Market basket analysis
  • –Jobs-to-be-done research
  • ✓Presentation + dashboard
  • –Customer interviews
Book a call
Recommended
Full Picture
Add why they buy, for messaging that converts
  • ✓RFM segmentation
  • ✓Market basket analysis
  • ✓Jobs-to-be-done research
  • ✓Presentation + dashboard
  • ✓Customer interviews
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Portrait

Why Me

7+ years in eCommerce Data Analytics
Built eCommerce Data Infrastructure for 10+ D2C brands
Worked with 6–9 figure D2C brands, from early-stage to scaled
Fortune 500 experience
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Let's find the revenue opportunites in your customer data