Containment rate

Containment rate is the percentage of customer queries an AI agent or chatbot resolves end-to-end, without escalating to a human. It's the cleanest metric for whether your automation is actually doing its job.

What is containment rate?

Containment rate is the percentage of customer queries an AI agent or chatbot fully handles, without escalating to a human. It's the metric that tells you whether your automation is doing the job, or just adding another step before the human takes over.

If 100 customers start a conversation with your bot and 65 walk away with their question answered, your containment rate is 65%. The other 35 hit human support.

How to calculate containment rate

The simple version: total resolved bot conversations divided by total bot conversations.

The more honest version: only count a conversation as "contained" if the customer didn't come back within 24 hours with the same question. Bots that close conversations early but generate repeat tickets the next day are not actually deflecting anything, just delaying.

What's a good containment rate?

It depends on the use case. For high-volume, predictable queries (WISMO, returns, FAQs) a well-built AI agent can hit 70 to 80%. For broader support, 30 to 50% is more realistic. Anyone quoting 95%+ is either lying or counting differently.

How to improve containment rate

  • Pick the right use cases. Repetitive, predictable, low-stakes. Not emotional, not exception-heavy.
  • Train on real conversation data. Generic models with no exposure to your domain will underperform.
  • Build a clean escalation path. Counterintuitive: knowing when to hand over to a human improves containment, because customers who can escalate easily try the bot first.
  • Iterate on what didn't work. Look at the conversations that escalated. Most patterns repeat.

FAQs

What's the difference between containment rate and deflection rate?
What containment rate should I aim for?
Can a high containment rate hurt customer experience?

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