From early-stage validation to structured D2C revenue — a performance-driven growth model built on controlled acquisition, conversion optimisation, and brand-led demand.
Vrishta is a direct-to-consumer brand that came to StradonAI at early-stage — with a product and vision, but without the growth infrastructure to scale reliably. The brief was to build a D2C growth model that could take the brand from validation to structured revenue generation.
The engagement covered the full growth stack: brand positioning for online-first audiences, performance marketing infrastructure, conversion optimisation across the purchase funnel, and brand-led demand creation to reduce paid-only dependence.
Early-stage D2C brands face a fundamental tension: they need to acquire customers to generate data, but uncontrolled acquisition burns cash before the model is proven. The challenge was to scale Vrishta in a controlled, measurable way.
Conversion rates across the purchase funnel were unoptimised, brand demand was minimal, and the acquisition model was entirely paid-dependent — all of which needed to change simultaneously.
Without a structured CAC model and controlled bidding approach, performance marketing spend was unpredictable and unit economics were unclear.
Significant drop-off at multiple funnel stages — product pages, cart, checkout — meant that even traffic generated wasn't being converted efficiently.
With no organic brand demand, every acquisition required paid spend — making scaling costly and brand-building essential to long-term economics.
Designed a D2C growth model with clear CAC targets, LTV assumptions, and scaling thresholds — giving the business a framework for when and how to increase spend.
Built the full performance marketing stack — channel selection, creative framework, audience architecture, and bidding strategy — optimised for controlled acquisition costs.
Audited and optimised every stage of the purchase funnel — product pages, cart experience, checkout flow — to improve conversion rate before scaling traffic.
Launched brand-led content and community initiatives to build organic demand alongside paid — reducing long-term dependence on performance spend.