AMOCC · eCommerce · Paid media · Measurement
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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
Business intelligence report

Weekly report (example)

This is an example of stacked KPIs in action. Early on, users and engagement can act as revenue proxies while you collect first‑party data. As volume grows, measurement shifts to higher‑intent actions—add to cart, checkout—and ultimately transactions.

Example BI report using stacked KPIs
Example weekly BI report showing KPI “stacking” from users to commerce outcomes.
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