AMOCC · eCommerce · Paid media · Measurement
AMOCC logo

Transition from B2B to D2C eCommerce Brand

How we helped AMOCC build a D2C eCommerce engine from scratch—without seed data or historical benchmarks—using a stacked KPI approach.

Results
Revenue — Year 1
$1M+
Built without first‑party seed data.
Consistent ROAS
$10
Across campaigns.
Peak ROAS
$14
Peak periods.
ROI (50% margin)
291.78%
Return on media with margin assumption.
Question

How do we transition from B2B to D2C—using eCommerce as the main channel?

A Japanese furniture manufacturer with strong wholesale distribution needed to build a consumer brand and eCommerce revenue stream. The challenge: no first‑party seed data and no past D2C benchmarks.

Hypothesis

Build awareness, then prove performance by stacking KPIs through the funnel.

Use Facebook/Instagram and Google to drive high-intent traffic, tag the site thoroughly, and measure performance at each funnel stage. Each stage KPI creates signal—even before purchase volume is meaningful.

Stacked KPI approach

A KPI Stack That Made Optimization Possible Without Initial Sales Data

Stacked KPIs are a practical way to grow eCommerce when you have no seed data: start by optimizing to reliable proxies (users and engaged sessions), then graduate to higher-intent actions (add‑to‑cart, checkout), and finally optimize to transactions once purchase volume is stable.

Stacked KPI diagram

A KPI Stack That Made Optimization Possible Without Initial Sales Data

Awareness → Consideration → Conversions
Awareness
Site Visit / Social Visit
  • Facebook + Instagram (Display)
  • Google Display
Email & Social Sign Ups
  • Display + Remarketing
Consideration
Add to Cart
  • Remarketing (FB/Google)
  • Social posts
  • Email
  • Organic + Paid Search
Checkout Step 1
  • Organic + Paid Search
  • Email + Bookmarks
Conversions
Transactions
  • Email
  • Organic search
  • Paid search
  • Referrals
Start with proxies
Build first‑party audiences
Optimize to sales
Business intelligence report

Weekly report (example)

This is an example of a report from early right after launch, when we optimize first for awareness and consideration KPIs before there is enough sales volume to learn from. These early-stage KPIs act as proxies and predictors of future sales—then we ladder up to higher-intent actions and, ultimately, transactions as first-party data accumulates.

Example BI report using stacked KPIs
Example weekly BI report showing early-stage KPI proxies that ladder up to commerce outcomes.
Next

Want this system for your business?

Every strategy starts with a conversation.