Kissmetrics AI Agent is trained on trillions of events to deliver real‑time predictions, trend spotting, cohort insights, conversion boosts, churn alerts and smart growth recommendations
Product Category
Product Analytics
Product Subcategory
AI Functions
KissAI “agent” generates insights, predictions, and recommended actions from behavioral data
Real time trend spotting and churn risk signals to retain customers
Copy and strategy guidance to automate marketing plays tied to observed patterns
Product Core Functions
Kissmetrics tracks what people do across your site and product, then ties those actions to revenue so teams can see which features, campaigns, and paths drive conversions and retention. You define key events and properties, instrument via JavaScript, GTM, or Segment, and start exploring reports that answer who your power users are, where people drop in funnels, and how behavior differs by cohort.
Core reports include Funnels to visualize step drop off, Cohorts to measure retention by signup date or behavior, Revenue to calculate LTV, ARPU, and churn, Paths to see common journeys, and A/B Test reporting to evaluate experiments. “Populations” and People Search help you create living segments based on attributes and actions, then monitor those audiences over time.
Teams that need deeper analysis can query raw data with the SQL Report or export scheduled CSVs for BI. Campaign features let you send targeted messages and tie engagement back to events and revenue so outreach and measurement live together.
Integrations pull in and push out context. With Segment as a destination, your product and web events flow into Kissmetrics without custom pipelines. Hotjar and Appcues connect qualitative feedback and in product flows to the same user IDs so product, growth, and UX have a shared picture. The net result is a practical stack for SaaS and ecommerce teams to diagnose friction, ship improvements, and prove impact on revenue.
Key Features
Event tracking with people and properties, cross site and cross product
Funnels, Cohorts, Revenue, Paths, A/B Test, Activity, Live, and Populations reports
SQL Report, scheduled exports, and email “Daily Metrics”
Campaigns with audience targeting and merge tags
Tracking via JS library, GTM, Segment destination, and mobile guides
Appcues and Hotjar integrations for flows, heatmaps, and feedback
Ease Of Use
Setup — Easy for a product or growth lead: Add the JS snippet or connect through Segment or GTM, define a few events, launch core reports. Same day visibility is realistic.
Daily use — Easy for product, growth, and UX: Check funnels and cohorts, watch key populations, review revenue deltas, and trigger or evaluate campaigns without leaving the workspace.
Collaboration — Easy to moderate for cross functional teams: Share projects and standards for events and naming, review Appcues and Hotjar context alongside metrics. A short walkthrough gets each role comfortable.
Integrations — Moderate for an operator: Segment, Appcues, Hotjar, and common marketing tools connect with documented steps. Map fields, test an event, and in a couple of hours you are operational.
Admin — Light to moderate for a manager: Govern access, maintain taxonomies, schedule exports, and monitor data freshness and plan limits.
Use Cases
SaaS product teams measuring activation, feature adoption, retention, and LTV
Ecommerce teams tracking checkout drop off, campaign impact, and repeat purchase
Growth and RevOps teams unifying product, marketing, and revenue reporting
UX researchers pairing behavioral data with recordings and in product surveys
Agencies running analytics and experimentation for multiple clients