Measure What Matters — From First Message to Resolution
Comprehensive dashboards with real-time data. Track every metric that matters for your AI-powered customer operations.
No credit card required · Free forever plan · 5-minute setup
Real-time
Data updates
15+
Tracked metrics
Per-bot
Performance ranking
Built-in
Sentiment tracking
You can't improve what you can't measure. Most chatbot platforms give you basic stats at best.
Without proper analytics, you're flying blind. You don't know which bots are underperforming, where conversations drop off, whether customers are satisfied, or how your AI compares to human agents. Basic message counts aren't enough — you need actionable insights that tell you exactly what to improve and where to focus your resources.
Why teams choose LoopReply for Analytics
Real-Time Dashboard
Live data that updates as conversations happen. No waiting for daily reports or exporting CSVs. See current active conversations, agent performance, and trending topics as they unfold.
Conversation Volume Trends
Track daily, weekly, and monthly conversation volumes with visual charts. Identify peak hours, seasonal trends, and the impact of marketing campaigns on inbound conversation volume.
Resolution Rate Tracking
Measure how many conversations are fully resolved by AI versus escalated to humans. Break down resolution rates by bot, topic, channel, and time period to pinpoint areas for improvement.
Customer Satisfaction Scores
Collect CSAT ratings after conversations and track scores over time. Segment satisfaction by channel, agent, bot, and conversation type to find what's working and what needs attention.
AI Handling Rate vs Handoff Rate
See exactly what percentage of conversations your AI handles autonomously and how many require human intervention. Track this over time to measure the ROI of knowledge base improvements and workflow optimizations.
Sentiment Analysis
LoopReply analyzes customer sentiment throughout each conversation. Track positive, neutral, and negative sentiment trends across all your bots to catch emerging issues before they become widespread complaints.
Analytics in 5 simple steps
Conversations Generate Data
Every message, handover, resolution, and customer rating is automatically logged and processed. No manual tagging or data entry required — analytics collection is built into the platform.
Real-Time Processing
Data flows into your analytics dashboard in real time. Sentiment analysis, categorization, and metric calculations happen as conversations progress — not in batch jobs hours later.
Dashboard Visualizations
Charts, graphs, and summary cards present your data in an intuitive layout. Filter by date range, bot, channel, agent, or conversation status to drill into the metrics that matter.
Identify Patterns and Issues
Spot trends like increasing handoff rates, declining satisfaction in a specific channel, or a bot that's underperforming. The dashboard highlights anomalies so you can act fast.
Optimize and Iterate
Use insights to improve workflows, expand knowledge bases, adjust routing rules, and train your team. Then watch the metrics improve in real time as your changes take effect.
LoopReply vs the rest
| Feature | LoopReply | Others |
|---|---|---|
| Real-time analytics | Intercom: Delayed (hourly updates) | |
| Sentiment analysis | Built-in | Tidio: Not available |
| AI vs human resolution rates | Chatbase: Basic message counts only | |
| Per-bot performance breakdown | LiveChat: Per-agent only | |
| Customer satisfaction (CSAT) | Chatbase: Not available | |
| Conversation volume trends | Charts + filters | Tidio: Basic counters |
| Channel-level metrics | Intercom: Partial | |
| Export capabilities | CSV, API | Varies by platform |
| Custom date ranges | LiveChat: Preset ranges only | |
| Starting price | Free (basic), Pro for full | From $49–$199/mo |
Most chatbot platforms provide vanity metrics — total messages sent, total conversations. LoopReply gives you actionable analytics: resolution rates, AI handling percentages, sentiment trends, and per-bot performance breakdowns that actually help you improve.
Who uses Analytics?
Operations Managers
Monitor team performance, track SLA compliance, identify bottlenecks in conversation routing, and allocate resources based on real-time workload data and historical trends.
Product Teams
Analyze which topics generate the most conversations, what questions the AI can't answer, and where users drop off — feeding product roadmap decisions with customer voice data.
Marketing Teams
Track conversation volumes around campaigns, measure chatbot-driven lead conversion rates, and understand which channels drive the highest quality conversations.
Customer Success
Monitor customer satisfaction trends, identify at-risk accounts based on negative sentiment patterns, and measure the effectiveness of support improvements over time.
Common questions about Analytics
Ready to get started?
Try Analytics free — no credit card required.
Free plan includes 1 AI agent, 1,000 messages, visual workflow builder, and knowledge base. Pro starts at $49/month.