ROAS was 0.9.Growth was stuck. We made it 8×.
TuteDude was spending on Meta Ads and barely breaking even. We rebuilt the entire targeting structure, restructured creative, and turned every rupee into three.
What changed for TuteDude
The problem wasn’t the budget. It was the strategy.
TuteDude came to us with a live Meta Ads account and a real frustration: they were spending consistently but the numbers refused to move. ROAS sat at 0.9, meaning every ₹1 spent returned less than ₹1. A slow bleed.
The account wasn’t broken on the surface. Campaigns were running. Ads were live. Budget was flowing. But the targeting was too broad, creatives weren’t built for conversion, and there was no audience structure that allowed optimization to work.
The product was strong. The demand was there. The execution layer was the problem.
Bleeding ROAS
0.9× ROAS: every rupee spent returned less than it cost. Sustainable scaling was impossible.
Unstructured Targeting
Broad audiences with no cluster logic: high CPMs, low purchase intent, no room to optimize.
Weak Creative
Generic ads that didn’t speak to buyer psychology. High impressions, low conversion.
Low Average Order Value
AOV stuck at ₹700, with no bundle or upsell structure to increase revenue per transaction.
Three moves. One restructure.
We didn’t add more campaigns. We rebuilt the foundation: audience architecture first, then creative, then scale.
Audience Cluster Architecture
Mapped TuteDude’s buyer into distinct intent clusters (cold, warm, and retargeting), each with its own budget logic and creative strategy. Eliminated wasted spend on unqualified reach.
Conversion-Led Creative
Rebuilt ad creative around the buyer’s decision moment, not the product features. Pain-led hooks, social proof in the first 3 seconds, and offer-specific CTAs per audience segment.
AOV & Revenue Scaling
Introduced bundle structures and price anchoring to push AOV from ₹700 to ₹1,500. As ROAS improved, we systematically scaled spend on the highest-performing clusters.
The numbers after 9 months.
Revenue Growth
Baseline → 8× in 9 months
ROAS
0.9× → 3.1× (+244%)
Average Order Value
₹700 → ₹1,500 (+114%)
Peak Month Lift
Timeline
Month 1-2: Audit & Rebuild
Tore down the existing account structure. Mapped audience intent clusters. Rebuilt campaign architecture from scratch. Zero scaling, only foundation work.
Month 3-4: Creative Testing
Launched pain-led and proof-led creative variants against each audience cluster. Identified the top 2 performing hooks within 3 weeks.
Month 5-6: AOV Optimization
Introduced bundle pricing and upsell structures. AOV moved from ₹700 to ₹1,100. Compound effect started: more revenue per click, better ROAS per rupee spent.
Month 7-9: Scale Phase
With ROAS stable above 2.5×, we systematically scaled budget on the top-performing clusters. Revenue scaled without proportional increase in CPAs.
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