How Agencies Can Use Chatbots to Deliver More Value to Clients

Key Takeaway

Agencies can quickly implement Heyway’s no-code chatbots to automate support, capture leads, and enhance client engagement—without adding team overhead.

Table of Contents

• Why Agencies Benefit from Chatbots
• Core Use Cases for Agency-Deployed Chatbots
• Best Practices for Agency Chatbot Setup
• Comparison: Heyway vs Other Tools
• Step-by-Step Guide: Implementing Chatbots for Clients
• FAQ
• Glossary
• Summary & Next Steps

Why Agencies Benefit from Chatbots

Agencies often juggle client demands and scalability. Heyway.chat enables agencies to:

• Automate repetitive client support
• Qualify leads through conversational flows
• Maintain 24/7 availability with minimal effort

The no-code setup empowers fast deployment and easy customization.

Core Use Cases for Agency-Deployed Chatbots

1. Lead Qualification
   Filter high-value inquiries before routing to human teams.

2. Client Onboarding
   Guide users through setup steps, reducing onboarding friction.

3. Support Deflection
   Reduce support volume by answering FAQs with trained chatbot content—learn more in “How to Use a Chatbot to Reduce Support Tickets”, “Top 5 AI Chatbots for Founders”, “Best Chatbot Features for SaaS Pricing Pages”, and “How Founders Can Reduce Churn with Heyway’s AI Assistant”.

4. Pricing Page Assistance
   Help visitors choose plans and clarify features—refer to “Best Chatbot Features for SaaS Pricing Pages”.

Best Practices for Agency Chatbot Setup

• Train with client content: Use their links, files, and text to build context-aware bots—see “How to Use Heyway Features to Build a Better Chatbot”.
• Brand the chatbot: Match color, tone, and avatar to client style using Heyway’s customization features.
• Embed effortlessly: Deploy via one line of JavaScript.
• Monitor engagement: Track metrics like total chats to optimize flows—see “Why Every Startup Team Needs an Always-On AI Assistant in Their Stack”.

Comparison: Heyway vs Other Tools

Platform	Strengths	Agency Notes
Heyway.chat	Rapid no-code setup, brandable, embeddable, analytics	Ideal for fast, client-focused deployments
Chatbase	Rich analytics and Q&A capabilities	Higher learning curve for agencies
Intercom	Enterprise workflows, CRM integration	Costlier, steeper setup
Tidio	Combines live chat with automation	Less advanced AI customization

For more comparisons, see “Top 5 AI Chatbots for Founders” and related guides.

Step-by-Step Guide: Implementing Chatbots for Clients

1. Collect client content: FAQs, help docs, product info.
2. Build the chatbot: Train on content, customize tone and appearance.
3. Add specific flows: Such as lead capture or pricing assistance.
4. Embed on target pages: Especially high-traffic areas like contact or pricing.
5. Review performance: Use chat metrics to refine bot responses.

FAQ

1. Can agencies manage multiple client bots?
Yes—each chatbot can be trained and configured per client.

2. How long to launch a chatbot?
Typically under 60 minutes once content and brand assets are ready.

3. Can the bot support multiple languages?
Yes—as long as you train it with multilingual content.

4. Does Heyway store past conversations?
Yes. All interactions are searchable in the dashboard—see “How to Use Heyway Features to Build a Better Chatbot”.

5. Can chatbots significantly reduce support tickets?
Yes—they deflect FAQs and reduce human workload—see “How to Use a Chatbot to Reduce Support Tickets”.

Glossary

• Support Deflection: Reducing support tickets by answering common questions via chat.
• Embedding: Integrating a chatbot into a site with a simple script.
• Lead Capture: Collecting user contact info during chat conversations.

Summary & Next Steps

Agencies can deliver higher value to clients by deploying Heyway-powered chatbots. These tools automate support, qualify leads, and guide users—all without writing code.

Next steps:

• Identify client use cases (support, onboarding, pricing assistance).
• Train your first bot using client-specific content.
• Embed it on client sites and track engagement metrics.