Case Study ยท E-commerce | Attribution

High ad spend, but no clarity on what actually works?

How an e-commerce brand fixed broken attribution and increased ROAS by 27%.

Attribution ROAS Channel Analytics
Headline result: +27% ROAS after reallocating spend.
E-commerce attribution

Context

The brand spent heavily across search, social, affiliate and email. Platform dashboards each claimed success, but overall profitability was under pressure.

Leadership needed to know which channels genuinely drove incremental orders vs. simply capturing sales that would have happened anyway.

Key Challenges

  • Over-reliance on last-click attribution from ad platforms.
  • Retargeting and brand search received too much credit.
  • Upper-funnel and assist channels were undervalued.
  • No clear view of incremental vs. cannibalizing spend.

What DASTATS Built

Customer Journey Dataset

From first touch to purchase.

We created clickstream-style journeys capturing key touches per user before purchase, instead of isolated events.

Multi-Touch Attribution Model

Shared credit, fair credit.

Rule-based and data-driven models assigned credit across assist and conversion channels, presenting multiple attribution views.

ROAS & Budget Shifts

Spend where it truly matters.

We highlighted channels with strong incremental ROAS and recommended moving budget away from low-impact segments of retargeting and brand.

Impact

+27% ROAS

Reallocating budget toward undervalued channels improved blended ROAS without increasing total spend.

Balanced Channel Mix

The brand achieved healthier exposure across discovery, consideration and conversion channels.

Smarter Scaling Decisions

Attribution dashboards became a core input to scaling or cutting channel budgets.

Not sure which channels are really pulling their weight?

We can connect your marketing and order data to build an attribution view that suits your brand.

Fix your attribution