Marketing ops · Production
Remi drives 60X ROI and 82% post-purchase email open rates with Maverick AI-personalized videos
The problem
Remi's founder Oscar Adelman wanted to build personal connections with tens of thousands of customers but relied on handwritten notes and gestures that could not scale.
Workflow diagram · grounded in source
1
Record base videos per use case
trigger
“Oscar and his team recorded three videos for key use cases - abandoned cart recoveries, post-purchase thank yous and failed payment follow ups”
2
AI personalizes video per customer
ai_action
“With Maverick's magic they are now sending personalized videos where Oscar greets each customer by name”
3
Personalized video delivered to customer
output
“We're very happy to see all the positive replies our customers are sending us after they get their personalized video.”
Reported outcome
Using Maverick's AI-personalized videos, Remi achieved 60X ROI, a 10% cart recovery rate, an 82% post-purchase email open rate, and a 27% post-purchase email click-through rate, with customers sending positive replies.
Reported metrics
ROI60X
Cart recovery rate10%
Post purchase email open rate82%
Post purchase email click through rate27%
Reported stack
Maverick
Frequently asked questions
What did this team achieve with this AI workflow?
Using Maverick's AI-personalized videos, Remi achieved 60X ROI, a 10% cart recovery rate, an 82% post-purchase email open rate, and a 27% post-purchase email click-through rate, with customers sending positive replies.
What tools did this team use?
Maverick.
What results were reported?
ROI: 60X; Cart recovery rate: 10%; Post purchase email open rate: 82%; Post purchase email click through rate: 27% (source-reported, not independently verified).
How is this marketing ops AI workflow structured?
Record base videos per use case → AI personalizes video per customer → Personalized video delivered to customer.