Calculate your customer support costs, identify automation opportunities, and find tools to reduce expenses while maintaining (or improving) service quality.
Understanding your cost per ticket and channel-specific costs helps justify investments in automation. Most companies can automate 30-40% of tickets.
Calculate your customer support costs and automation savings potential
Ticket Distribution (must equal 100%)
Every ticket costs money. The average support ticket costs $15-$25 to resolve. Multiply that by thousands of monthly tickets and costs add up quickly.
Phone support costs 3-5x more than chat or email. Without self-service options, customers default to expensive channels.
40-60% of tickets are simple, repetitive questions that could be answered through FAQs, chatbots, or knowledge bases.
Unclear onboarding, confusing features, and common bugs drive support volume. Every product improvement prevents future tickets.
$15-25
Average cost per ticket (email/chat)
$40-60
Average cost per phone support call
30-40%
Tickets that can be automated
These platforms help you automate routine inquiries, deflect tickets through self-service, and improve agent efficiency:
AI chatbot platform for customer support, with no-code builder and focus on deflecting common questions.
Buyer fit
Enterprise, Mid-Market teams that need AI-Driven Training and Suggestions and Customer Segmentation coverage.
Google conversational AI platform for voice and chatbots with developer-friendly interface and NLU.
Buyer fit
Enterprise, Mid-Market, Small Business, Startup teams that need Intent Recognition and NLP Engine coverage.
Enterprise conversational AI with NLU for intent detection, entity extraction, and backend system integration.
Buyer fit
Enterprise, Mid-Market teams that need Intent Recognition and NLP Engine coverage.
Suite to design, test, and deploy AI assistants across channels with natural language understanding.
Buyer fit
Enterprise teams that need Intent Recognition and NLP Engine coverage.
No-code/low-code chatbot platform integrated with Microsoft Power Platform and Azure AI.
Buyer fit
Enterprise, Mid-Market teams that need Intent Recognition and NLP Engine coverage.
Open-source conversational AI framework for developers wanting full ML control and data privacy.
Buyer fit
Enterprise, Mid-Market, Startup teams that need Intent Recognition and NLP Engine coverage.
Voiceflow is an enterprise AI agent platform for customer support and CX teams to build, test, and deploy AI agents across chat and voice. Support and CX teams use Voiceflow to automate tier-1 questions, hand off cleanly to human agents, and keep control over how the AI responds. It works across chat and voice and is model-agnostic, so teams can bring their own LLM.
Buyer fit
Enterprise, Mid-Market teams that need Bring Your Own LLM (Model-Agnostic) and Autonomous AI Frontline Support coverage.
All-in-one CRM with Marketing, Sales, and Service Hub in a unified interface.
Buyer fit
Mid-Market, Small Business, Startup teams that need Marketing Automation and Multilingual Support coverage.
Microsoft CRM suite with tight Office 365 integration, AI copilot, and the Power Platform.
Buyer fit
Enterprise, Mid-Market teams that need AI-Powered Recommendations and Speech Analytics coverage.
ROI: 20-30% ticket deflection rate
Implement searchable FAQs, help articles, and video tutorials. Every self-served answer saves $15-25. Cost: $200-2,000/month.
ROI: 30-50% ticket deflection rate
Deploy AI chatbots to handle FAQs, account questions, and simple troubleshooting. Typical payback: 6-12 months. Cost: $500-5,000/month.
ROI: 15-20% efficiency improvement
Automate ticket categorization, priority assignment, and routing. Reduces handle time and improves first-contact resolution.
Email and chat tickets cost $15-25 on average, while phone support costs $40-60 per call. Social media support is similar to email/chat. Costs vary by industry and complexity.
Most companies can automate 30-40% of support tickets through chatbots, self-service knowledge bases, and automated workflows. Some achieve 50%+ deflection rates with mature automation programs.
No - when done right. 69% of customers prefer self-service for simple issues. The key is to offer escalation paths to human agents when needed and ensure your automation actually solves problems (not just deflects).
Knowledge bases typically pay for themselves in 3-6 months. AI chatbots have 6-12 month payback periods. The ROI depends on your ticket volume and cost per ticket - higher volume companies see faster payback.