Representative Growth Systems Built for Real Founder Problems

A D2C consumer brand was spending consistently on Meta Ads but the account had become inefficient. ROAS had dropped to 1.8×, CAC had climbed to ₹342, and campaign decisions were being made from unclear attribution signals. Creative fatigue, audience overlap and weak retargeting structure were causing budget leakage across the funnel.

The representative rebuild addressed the account from the inside out — clean event tracking, separated prospecting and retargeting layers, refreshed creative testing system, and campaign decisions restructured around actual customer intent. Within the 90-day representative model, ROAS moved to 3.9× and CAC reduced to ₹214.

A growing e-commerce brand believed its paid campaigns were performing strongly because platform-reported ROAS appeared healthy. On audit, view-through attribution was overstating performance and duplicate events were inflating conversion reporting. Retargeting campaigns were taking credit for sales already influenced upstream.

The rebuild focused on attribution hygiene across Meta, GA4 and campaign-level measurement. After correction, the brand moved from a misleading 4.6× reported ROAS to a more accurate 2.3× operating ROAS. Around ₹1.8L/month in misallocated spend was identified and redirected.

A D2C brand was experiencing rising CAC despite running multiple campaigns. The root cause was audience architecture — prospecting, warm audiences and retargeting pools overlapping heavily, with retargeting consuming budget meant for new customer acquisition.

The rebuild separated the funnel into structured campaign layers with proper exclusion-based suppression. 68% audience overlap identified. After restructuring, CAC model improved by 34% over 60 days.