Industry, D2C

Data, AI, and strategy for D2C brands

For direct-to-consumer brands scaling on Shopify, marketplaces, and quick commerce in India.

Every channel has its own dashboard and its own version of the truth.

You spend on Meta and Google ads without knowing which is actually driving repeat orders. You launch new SKUs without knowing which ones cannibalise and which expand. The data exists, scattered across six platforms. Nobody on your team has time to stitch it together every week.

What we do here

Unified analytics across all your channels

Shopify, Amazon, Flipkart, quick commerce, and your own DTC site, all rolled up so you see one brand performance, not six.

Marketing attribution and ROAS analysis

Tells you which channel actually grew lifetime value, not just first-touch clicks. Stop overspending on what doesn't compound.

Customer cohort and repeat analysis

Find what makes a one-time buyer into a three-time buyer. Then build the product, packaging, and email around that.

AI for customer support, abandoned cart, and email sequences

The repeatable parts of customer ops run themselves so the team can focus on the customer conversations that need a human.

Why this lands

The team has worked with D2C brands going from ₹10 crore to ₹100 crore. The challenges are the same: stop spending blind, start optimising for repeat, build the muscles that scale without scaling cost linearly.