Loyal Llama

Loyal Llama

Customer Retention Platform

10 followers

Loyal Llama helps reduce client churn with CRM-driven insights. Predict risk, act faster, and retain more customers.
Loyal Llama gallery image
Loyal Llama gallery image
Loyal Llama gallery image
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Launch tags:User ExperienceSaaSCRM
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Flowstep
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What do you think? …

Daniel Harvey
Maker
📌
Hey Product Hunt! 👋 I’m Daniel, Co-Founder of Loyal Llama — a B2B client retention platform that helps teams reduce churn and boost engagement using real CRM data. We built Loyal Llama because we were tired of client relationships slipping through the cracks. Our dashboard shows risk scores, engagement levels, and lets you take action right away. Would love to hear your thoughts and feedback! Happy to answer any questions or dive deeper into how it works 🦙 Thanks for checking us out 🙌
Desmond

Client retention just got smarter!​​ How is the risk score calculated? If a client stops opening emails but keeps paying invoices, does it still flag them as high-risk?

Daniel Harvey

@desmond_ren1 Hey Desmond — great question!


If a client doesn’t engage with emails but has been active through calls or meetings recently, they can absolutely still be marked as low risk.


Our risk score is calculated using multiple CRM data points, each with its own weight. So while email inactivity might raise their score slightly, it doesn’t tell the whole story. If the client is still paying invoices or engaging through other channels like regular calls or recent meetings those positive signals help balance things out. We look at overall engagement, not just one contact method, so they won’t be flagged as high-risk based on email alone.


What’s really powerful is how our platform adapts to that data. If a client has a history of responding well to phone calls, Loyal Llama will recommend that approach. It’s about spotting early signs and helping you take the right action in the right way based on what actually works for each client.


Thanks again for the kind words and appreciate you checking us out! 🦙