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A $120M GMV skincare brand · Beauty · Skincare

Replacing three point tools after outgrowing what one dashboard could answer

Anomaly detection, creative ranking, and signal recovery each lived in a different tool. Adding two more meant four disconnected systems.

3 tools → 1
Consolidated intelligence layer
$120M
GMV scale supported
First 90 days
Issues caught during onboarding

Their unseen challenge

Outgrowing a single dashboard

Issue
  • Triple Whale stopped answering enough questions once the brand crossed $120M GMV.
  • Anomaly detection, creative ranking, and signal recovery each lived in a separate tool.
Effect
  • Adding two more point tools to cover the gaps would have meant four disconnected systems.
  • No single dataset underpinned the answers, so cross-tool questions went unanswered.
Result
  • Fragmented intelligence at scale.
  • A growing tool bill with shrinking clarity.
Impact
Three tools consolidated into one

The solution

The full agent portfolio on one dataset

Attribution, anomaly detection, creative performance, and signal recovery running on the same data rather than four vendors.

One intelligence layer

The full agent portfolio replaced the separate tools with a single system on shared data.

Cross-domain answers

Questions that span attribution and site health resolve in one place instead of across vendors.

Built for scale

The stack holds up at $120M GMV, where a single dashboard had already hit its ceiling.

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$15B in brand revenue under management · all inbound