Conversational Marketing Design

Dialog-driven engagement. Design principles, use cases, flows, platforms, integration, measurement.

Why conversational

Conversational marketing uses dialog (chat, voice, SMS) for personalized engagement. Drift pioneered the term; conversational AI (LLMs) is now expanding capability. Mature programs design for conversation, not just one-way broadcasts.

Design

• Conversational tone.
• User-led not brand-led.
• Quick paths to value.
• Easy escalation to human.
• Natural language understanding.
• Context maintained across turns.
• Brand voice consistent.

Use cases

• Website chat for sales / support.
• SMS conversational commerce.
• Voice assistant interactions.
• Email response automation.
• Conversational ads.
• Personalized product recommendations.
• Onboarding and education.

Flows

• Welcome / greeting.
• Intent identification.
• Routing (to information, conversion, human).
• Multi-turn dialog.
• Escalation triggers.
• Recovery from confusion.
• Closing / next steps.

Platforms

• Drift (B2B conversational).
• Intercom.
• Zendesk Sunshine Conversations.
• Voiceflow (voice + chat design).
• Anthropic Claude / OpenAI GPT for custom.
• Hubspot, Salesforce CRM integrations.

Integration

• CRM integration.
• Customer data context.
• Knowledge base access.
• Live agent handoff.
• Analytics integration.
• Cross-channel coordination.

Measurement

• Conversation completion rate.
• Conversion rate from conversations.
• Time-to-resolution.
• Human escalation rate.
• Customer satisfaction.
• Cost per conversation.
• Pipeline contribution.

Advanced

• Conversational design principles documented.
• Intent taxonomy.
• Flow library.
• AI / LLM integration where supports.
• Live agent handoff.
• Customer data context.
• Brand voice training.
• Annual conversational strategy review.
• Cross-channel consistency.
• Compliance review.

Mistakes

• Generic chatbot deployed.
• Flows not designed; reactive only.
• Live agent handoff absent.
• Customer data context missing.
• Brand voice drift.
• Cross-channel consistency broken.
• Compliance not reviewed.
• Annual review skipped.
• AI / LLM rushed without QC.
• Customer satisfaction not measured.

Checklist

• Conversational design principles
• Intent taxonomy
• Flow library
• AI / LLM integration where supports
• Live agent handoff
• Customer data context
• Brand voice training
• Annual strategy review
• Cross-channel consistency
• Compliance review

Part of the Voice Search & Commerce series.