- Glossary
- Automation
- Canned Response
What is Canned Response?
Pre-written replies that agents can quickly send for common questions
What is Canned Response?
Canned responses (also called saved replies or template responses) are pre-written messages that agents can insert into conversations with one or two clicks instead of typing from scratch. They're designed for questions your team answers repeatedly—shipping policies, return processes, troubleshooting steps, pricing explanations. Good canned responses include personalization variables (customer name, order number) that auto-populate, making the response feel custom even though it's templated.
Canned responses sit between fully manual typing (slow, inconsistent) and full automation (auto-replies that don't require an agent). The agent chooses when and which template to use, can modify it before sending, and maintains control over the conversation.
Why Canned Response Matters
Agents spend roughly 40% of their time typing responses they've written before. Canned responses eliminate this repetition, reducing average handle time by 25-35% without sacrificing response quality. In fact, quality often improves because canned responses are reviewed and refined over time, ensuring customers consistently receive accurate, well-written answers.
Canned responses also accelerate onboarding. New agents can deliver expert-quality responses from day one by using templates created by experienced team members. Instead of learning every product detail before handling conversations, they learn how to find and apply the right template.
Canned Response in Practice
A support team created 25 canned responses covering their most common questions: shipping timelines, return process, size exchanges, payment issues, and account setup. Each template included variables like {{customer_name}} and {{order_id}} that auto-populated from the conversation context. Agents' average handle time dropped from 14 minutes to 9 minutes, and their CSAT actually improved by 3 points because the templated responses were more thorough and accurate than what agents typed ad-hoc under time pressure.