Results that move the needle

Challenge

Konfetti, a Mumbai-based D2C fashion label, had solid product-market fit but was burning through ad budget with diminishing returns. Their creative team was producing 8–10 ad variants per month. Their ROAS had declined for three consecutive quarters.

Our approach

1. 01We deployed our AI creative testing framework to generate 200+ ad variants — different hooks, visuals, copy angles, and CTAs — in 30 days.
2. 02Our performance models ran real-time analysis on creative signals: scroll stop rate, click patterns, and conversion sequencing. Within two weeks, clear winners emerged.
3. 03We rebuilt their creative brief process around the AI findings, giving their human team a data-backed creative direction instead of gut instinct.

Results

• ✓3× ROAS improvement in 90 days
• ✓Creative production cycle cut from 3 weeks to 4 days
• ✓Cost per acquisition reduced by 58%
• ✓Revenue up 2.2× quarter-over-quarter

Challenge

A Bangalore-based legal-tech SaaS was spending ₹8L per month on content — writers, editors, SEO consultants, and an external agency. Output was 20 pieces/month. Quality was inconsistent. Organic growth had plateaued.

Our approach

1. 01We ran a full audit of their content archive, identifying their 200 best-performing pieces by organic traffic, backlinks, and conversion signals.
2. 02From those insights, we built a custom content brief template and trained an AI system on their voice, audience, and category language.
3. 03We rebuilt their entire content operation: AI-first production pipeline, editorial QA process, and a 90-day content calendar focused on high-intent, bottom-of-funnel topics.

Results

• ✓Content output increased to 60 pieces/month
• ✓Monthly content spend reduced from ₹8L to ₹3.2L
• ✓Organic traffic up 140% in 6 months
• ✓Lead generation from organic up 85%

Challenge

Cashflow, a consumer fintech app, was generating 50,000+ monthly leads from paid campaigns. But their human support team could only qualify 15% of them during business hours. The rest were going cold. They had a conversion problem, not a traffic problem.

Our approach

1. 01We mapped their top 40 objection scenarios and FAQ patterns from 6 months of support transcripts.
2. 02We designed and built a conversational AI — deployed on web, WhatsApp, and in-app — trained on their product, compliance requirements, and brand voice.
3. 03The AI handled qualification, answered objections, and moved warm leads directly to a booking flow. Human agents only stepped in for complex cases.

Results

• ✓40% lift in lead-to-qualified-call rate
• ✓Response time reduced from 4 hours to under 2 minutes
• ✓Human agent load reduced by 65%
• ✓NPS for the support experience increased from 31 to 67