Kustomer Alternative at a Fraction of the Cost
Kustomer is enterprise-focused and expensive. Chatsy delivers similar AI-powered support at a fraction of the cost, accessible to businesses of all sizes.
No credit card required
Based on feedback from teams who migrated from Kustomer.
For most businesses, yes. Chatsy handles AI support, live chat, ticketing, and knowledge base. Custom support arrangements are available for larger teams. Note: Chatsy does not currently offer SSO or audit logs. If those are required, contact us about your needs before switching.
Meta's acquisition created uncertainty for many Kustomer customers. Chatsy is an independent company 100% focused on customer support innovation.
Kustomer starts at $89/user/month with annual contracts. A team of 5 costs over $5,300/year minimum. Chatsy's Hobby plan at $35/month includes unlimited users with no annual commitment, that's a 90%+ savings for most teams.
| Knowledge Base |
| Affordable Pricing |
| Quick Setup |
| No Minimum Contract |
Kustomer pricing
From $89/user/mo, annual contract
Chatsy pricing
Free tier, Hobby $35/mo (no contract)
Independent, focused company
Chatsy focuses on web chat, with integrations for Slack and Microsoft Teams. For email and social channels, Chatsy works alongside dedicated tools connected via API. We prioritize doing chat support exceptionally well over spreading thin across every channel.
That depends on your Kustomer agreement terms. Many teams run Chatsy alongside Kustomer during the contract wind-down period. Our free tier lets you evaluate Chatsy fully before making the switch official.
Yes, Kustomer is a cloud-based SaaS customer service platform, now owned by Meta (acquired in 2022). You access it through a web app and mobile clients with no on-premise deployment option. Chatsy is also SaaS, hosted on AWS with workspace isolation.
There's no single "best", it depends on use case. For enterprise-scale resolution: Ada and Intercom's Fin. For mid-market AI-native support: Chatsy and Chatbase. For e-commerce: Gorgias and Re:amaze. For tight Salesforce integration: Einstein. The honest answer is to test 2-3 with your real questions and measure containment, accuracy, and handoff quality on your specific content.
