How D2C brands, retail chains, EdTech platforms, and Shark Tank startups used Flable AI to fix attribution, cut acquisition costs, and scale profitably.
A luxury perfumery D2C brand paid its agency 15% commission on inflated, Meta-attributed sales. An independent attribution layer exposed the real numbers — recovering ₹2.8L/month and lifting POAS 41% in two months.
When attribution is honest, margins follow.
A premium electronics retailer hit its lowest-ever CPL while 70% of leads never visited a store. Connecting in-store data and flipping the signal to store visits and purchases cut acquisition cost 31%.
A cheap lead is not a good lead. Once ads optimized for actual closes, the entire funnel cleaned up.
A premium skincare D2C brand had every AI tool but ROAS flatlined at 1.2x and POAS was negative. Agentic campaign management doubled ROAS to 2.6x and turned POAS positive in the first month.
AI tools generate content. Flable AI runs the business logic. There's a meaningful difference.
An online upskilling platform's ad accounts had never seen a single enrollment. Feeding CRM enrollment data back to Meta & Google cut cost per enrolled student 29% and lifted counsellor connect rate from 38% to 61%.
When ad platforms can see who actually enrolls, they stop sending you people who never will.
A Shark Tank India featured kids and baby clothing brand running Meta and Google at scale — but across five separate dashboards with no per-SKU margin view. Profit-first campaign optimization doubled blended Ads ROI in two months.
Cheap clicks were never the goal. Profit was. Once every campaign optimized for it, Ads ROI doubled.