Marketing Automation for E-commerce & D2C

Lifecycle flows that do the heavy lifting

Welcome and first-purchase nurture, post-purchase and review requests, replenishment reminders, win-backs for lapsing customers, and cart/browse abandonment, automated flows run these for every customer, forever. In India, WhatsApp often outperforms email for them.

Segmentation and personalisation

Not every customer should get the same message. Automation segments by behaviour, value and lifecycle stage, and personalises offers and recommendations, so a first-time buyer, a VIP and a lapsing customer each get the right nudge, which lifts response and revenue.

Retention that compounds LTV

A small increase in repeat purchase rate transforms unit economics. Automation makes retention reliable, more in D2C retention marketing — and it’s run on the MarTech & Automation stack, tied to your data so you can see what actually moves LTV.

The flows that pay back first, and why they beat more ad spend

Acquisition gets more expensive every quarter, so the cheapest growth a D2C brand has is the revenue it’s currently leaving on the table. Automation captures it, and a handful of flows do most of the work. Cart and browse abandonment recovery wins back buyers who were one step from purchase. The post-purchase and first-repeat sequence catches a customer at peak goodwill and nudges the natural second order. Win-backs revive customers who’ve lapsed past their usual re-order window. People who already know and trust you. Replenishment reminders turn consumables into predictable repeat revenue. Built once over email and WhatsApp and segmented by behaviour, these compound while your ad account resets to zero each month, which is why a small lift in repeat purchase rate transforms unit economics more reliably than buying more first-time traffic. We measure them to repeat rate and LTV, not emails sent.

Segmentation and personalisation that lift AOV and repeat

Blasting the same message to your whole list is the fastest way to train customers to ignore you. The lift comes from behavioural segmentation. Treating a first-time buyer, a loyal repeat customer and a lapsing one as the different people they are. A first-timer needs reassurance and an onboarding sequence; a loyal regular needs recognition, early access and replenishment nudges; a lapsing buyer needs a timely, relevant reason to come back. Layer in personalisation. Recommendations based on what they actually bought, replenishment timed to their real re-order window, and offers matched to their value, and the same list produces materially more revenue without more sends. Done well, this lifts both average order value (through relevant cross-sell and bundles) and repeat rate (through timely, welcome re-engagement), which are the two levers that make D2C profitable. We build the segments off real purchase and engagement data and measure every flow to repeat rate and LTV, so personalisation is judged on revenue rather than open rates. The retention engine behind our e-commerce growth work.