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D2C / India Anonymized

Performance media rebuild for a lifestyle D2C brand

Growth-stage lifestyle D2C brand, ₹80–120 Cr GMV, Meta-dominant spend

4.9x
Blended ROAS
+18pp
New-customer share
97% match
Signal recovery
3x
Creative velocity
The Ask

ROAS had eroded from ~4x to ~2.2x across two quarters. Creative fatigue, no incrementality view, and audiences over-reliant on one lookalike seed.

Approach
  1. 01

    Server-side tracking + Conversions API rebuilt end-to-end to restore signal loss after iOS + consent-mode changes.

  2. 02

    Creative testing framework: hook × format × offer matrix, 3-week cadence, statistical guardrails on winners.

  3. 03

    MMM light model built on 24 months of spend + revenue data to inform budget allocation across Meta / Google / affiliate.

  4. 04

    CDP-driven audience architecture - first-party segments (repeat, VIP, lapsed, high-AOV) synced from Segment to Meta and Google.

  5. 05

    Landing page + PDP testing loop tied to the same creative themes for consistent message match.

Deliverables
  • Full-funnel tracking rebuild (server-side + CAPI)
  • Creative testing framework + weekly readouts
  • MMM light model + monthly allocation recommendation
  • First-party audience taxonomy and sync jobs
Outcome

Blended ROAS climbed to 4.9x within two sprint cycles, new-customer share of revenue grew, and the brand exited the quarter with the strongest contribution margin in its history.