Recover a cart with the right argument
I know why your customer dropped their cart. And I go get them with it.
The client
Maya, a cart-recovery product for e-commerce, plugged into Shopify. The playing field isn't acquisition, it's conversion: people who already added an item to their cart and left.
Every abandoned cart triggers a follow-up based on the real reason for hesitation, with an argument, a competitive comparison computed on the spot, and an answer to the objections specific to the situation. The follow-up runs through a personal page for the cart, a voice touch, and an email sequence. It's conversion intelligence, not a queue of reminders.
The problem
The standard cart reminder is generic, you forgot something, and it ignores the only thing that matters, why the person hesitated. A doubt about price, a lack of trust, a competitor open in another tab, these are not the same objections, and a single message misses them all.
How it works
On abandonment, the system gathers the cart and customer context, computes a competitive comparison at the moment of the follow-up rather than from a frozen table, renders a personal page per cart, gives it a synthetic voice to break out of the cold email register, places an agent behind it that answers objections, and orchestrates a four-email sequence over several days.
Key decisions
- The follow-up argument is built on a real reason for hesitation, not a template.
- The competitive comparison is computed at the moment of sending, to reflect the real state of the market, not stale data.
- The setup is multi-channel by design, page, voice and email, because a single channel doesn't convert the same profile.
What it proves
My engine isn't only for finding prospects, it also converts. Reading a context and extracting the right angle plugs into acquisition as well as conversion. For an e-commerce, it's an edge its competitors don't have, because they still follow up with a single message.