See what your AI assistant really does for your business
Track engagement, conversions, revenue, LTV and deflection in one place — and get executive-ready reports that show exactly how AI impacts your support and sales.
Engagement • Funnels • Topics & intents • Revenue & LTV • AI Excellence Reports
Understand who talks to your bot, when and how
Go beyond raw chat counts. Analyze unique visitors, engagement rates, busiest hours and satisfaction — so you can staff better, optimize prompts and spot demand spikes early.
Chat volume & visitors
Track unique visitors, total chat volume and visitor-to-chat conversion — see how often people actually choose to talk to your bot.
Activity overview
Identify your busiest hours and days to plan staffing, maintenance windows and escalation rules without guessing.
Engagement quality
See how often chats are completed, abandoned or escalated — and which prompts or pages trigger the most meaningful conversations.
Satisfaction & feedback
Use simple ratings (thumbs up / thumbs down or stars) and comments to measure how users feel about AI-based support, per topic or channel.
The engagement layer shows how your AI assistant fits into daily customer behavior: how many people see the widget, how many start conversations and how many actually complete flows or leave feedback.
You can break down traffic by time of day, day of week, device type and channel to see when support pressure is highest and where the bot carries most of the load. Combined with simple satisfaction scores, it becomes clear where to improve flows and where the experience already delights users.
For fast-growing teams, engagement analytics helps with staffing and planning: you know your peaks, can adjust agent schedules accordingly and see where adding more automation will bring the biggest payoff.
Outcome: you know exactly when, where and how your bot is used — and how customers feel about it.
Measure how conversations turn into leads, orders and subscriptions
Follow the funnel from visitor to chat, lead, order or subscription — and attribute real revenue and LTV impact to your AI assistant.
End-to-end funnel tracking
Visualize the full journey: visitor → chat → lead → order → subscription — with drop-off points at each stage.
Revenue attribution
Attribute new orders, upsells and renewals influenced by the bot, based on last-touch or multi-touch models you configure.
Customer journey analytics
See how different segments move through the journey, which paths convert best and where automation removes friction most effectively.
LTV & cohort impact
Compare lifetime value, retention and expansion for users who interact with the bot against those who do not — and prove long-term impact.
Conversion analytics connect chat behavior to hard business outcomes. You'll see how many visitors start a conversation, how many of them turn into qualified leads or buyers and how much revenue is influenced by the bot along the way.
Every important milestone in the customer journey — email captured, demo booked, cart started, order placed, subscription upgraded — can be tracked as a conversion event. The platform ties these events back to specific conversations, topics and campaigns.
Over time, you can compare bot-influenced cohorts with baselines: track LTV impact, renewal rates and expansion revenue for customers who engaged with the assistant vs. those who didn't. That's how AI stops being a "cost center experiment" and becomes a measurable growth driver.
Outcome: you can answer the key question: "How much revenue does our AI assistant really generate?"
See what customers really ask about — and what AI deflects
Use topic overviews, heatmaps and intent analytics to understand root causes of contact, improve content and track AI deflection across support and sales.
Topic overview & heatmaps
Get a ranked list of most frequent topics and a heatmap of how they trend by day, week or month — across all channels.
Intent & root-cause analytics
Break questions down by intent and root cause: pre-sales, billing, bugs, logistics, onboarding, feature confusion and more.
AI deflection tracking
Measure how many contacts are fully resolved by AI and how many still need human help, per topic and channel.
Content & product feedback loop
Use topic and intent data to prioritize new help articles, training data and even product roadmap changes that reduce contact volume.
Topic and intent analytics group thousands of unstructured questions into clear categories: pricing, onboarding, shipping, technical issues, refunds, product features and more. You instantly see what drives most conversations — and where to focus content and product changes.
Heatmaps show how topics evolve over time: which questions spike after a release, which problems keep coming back, and where agents still need to step in. Intent-level views go deeper, separating pre-sales questions from support issues or feature requests.
On top of that, AI deflection metrics measure how many conversations are fully handled by the bot vs. escalated to humans — per topic, channel, segment or time period. This helps you understand where AI is already strong and where more training or process changes are needed.
Outcome: you finally have a clear, quantified view of "what people keep asking us".
Monitor response times, resolution rates and team performance
Track how fast the bot and agents reply, how often issues are resolved on first contact and how your team performs across channels and topics.
Response & resolution times
Track how fast the bot answers, how quickly agents join and how long it takes to fully resolve an issue, per channel or topic.
Peak load & capacity
Monitor peak load periods, queue lengths and handoffs to plan staffing and automation initiatives with real data, not intuition.
Team performance dashboards
Compare performance across agents, teams, brands or regions and see where AI assistance lifts productivity and where more training is needed.
AI vs. human workload
Quantify how much workload AI takes off the team via deflection and automation — and track how this changes as you improve flows.
Performance analytics show how well your AI + human support stack is operating. You can monitor response times, handle times, resolution rates and peak load periods to identify bottlenecks and optimize staffing.
Team-level views reveal how agents and teams perform with the help of AI: how many chats they handle per hour, where they rely on the bot, where they override its suggestions and which combination of bot + human leads to the best CSAT and deflection.
For larger organizations, you can break performance down by brand, region or queue, ensuring SLAs are respected everywhere — and seeing where additional automation, training or headcount is needed most.
Outcome: you can keep your SLAs under control and prove where AI delivers real operational leverage.
Get a monthly AI Excellence Report for your leadership team
Summarize time saved, revenue influenced and key insights in a single, executive-ready report that makes AI performance easy to understand and share.
Time & cost savings
Quantify hours saved for your team through AI deflection and automation — and translate them into estimated cost reductions.
Revenue & upsell impact
Highlight revenue influenced by the bot: new orders, upgrades, cross-sells and recovered opportunities from abandoned flows.
Key insights & risks
Surface top changes in topics, intents and satisfaction, plus any risk areas where automation might need adjustment or oversight.
Actionable recommendations
Get concrete suggestions on new flows, training data, integrations or staffing changes that will move the KPIs next month.
The AI Excellence Report turns dozens of metrics into a clear narrative: how much workload AI handled, how much revenue it influenced, how customer experience evolved and what needs attention next month.
Instead of sending your leadership team to complex dashboards, you can share a concise summary that highlights impact on support costs, sales performance and customer satisfaction. It also surfaces key trends in topics, intents and deflection, along with recommended actions.
This makes it easy to keep AI initiatives visible at the executive level: you can align stakeholders, justify budgets and track progress against targets — with numbers everyone understands.
Outcome: your AI program has a clear, board-ready story backed by numbers, not gut feeling.
Together, Analytics gives you a 360° view of AI performance.
From engagement and funnels to topics, revenue, LTV and executive reports — you finally have the data to scale AI with confidence and prove its impact to every stakeholder.