13 Interest Score
12 Discussions
0.92 Engagement
Sep 2025 Launched

Your AI-powered retention team that works 24/7. What if you could stop a customer from leaving before they even think about it? Locket’s AI predicts churn and delivers hyper-personalised digital moments that make them stay. Retention will never be the same.

What the Community Said

Why I built Locket: Every DTC brand I talked to had the same nightmare: watching customers they loved just... disappear. They would spend hundreds acquiring a customer, only to lose them weeks later with zero warning. Traditional retention tools are reactive - they tell you churn happened, but never why or how to stop it. I knew with AI I could flip that script entirely. What makes Locket different: Instead of analyzing churn after it's too late, our AI agents live inside your customer relations

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Upvoted! 🚀 As someone who’s been in the DTC space for a couple of decades, Locket feels like the future of personalised customer experiences.

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Really impressed with Locket! It’s not just another analytics tool - it actively helps brands understand their customers and act in real time to drive loyalty...definitely a game changer!

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Finally, a tool that solves the retention problem in a way that actually makes sense. Locket’s AI-driven micro-experiences feel like the future of personalized marketing.

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Excited to support anything that works on DTC retention marketing!

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Frequently Asked Questions

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

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