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Kissmetrics

Kissmetrics

Person-level product analytics with AI-built metrics, funnels, and revenue attribution since 2008.

softwareWeb Analyticsproduct-analyticsperson-level-trackingrevenue-attribution
Our Verdict

Best for

Growth and product teams wanting person-level, revenue-tied analytics with an AI query interface.

Skip if

You need predictable flat-rate billing rather than usage-based per-event pricing.

What is Kissmetrics?

Kissmetrics is a person-level analytics platform, used by more than 10,000 growth and product teams since 2008, that ties behavior data to individual customers rather than just anonymous pageviews. A single tracking snippet auto-captures events, and an AI chat interface ("Ask it") lets teams build metrics and query data conversationally instead of writing reports from scratch. The platform covers funnels, cohorts, activity timelines, revenue attribution, and A/B test reporting, with identity resolution to unify a person's behavior across devices. Pricing is usage-based: a free plan covers up to 100,000 events per month, and paid Growth/Silver/Gold tiers scale from $99/month with a declining per-1,000-event rate as volume grows.

SpecificationsAI-estimated

deploymentCloud/SaaS
open source❌ No
api available✅ Yes
support optionsEmail support, help documentation
key integrationsCLI/API access, 30+ third-party integrations

Key Features of Kissmetrics

Tracks behavior at the individual person level, tying events to a specific customer rather than an anonymous session.
Autocaptures events site-wide from a single tracking snippet with no manual event mapping required.
Includes an AI chat interface ("Ask it") for building metrics and querying data using natural language.
Resolves identity across devices so a person's full journey is unified into one profile.
Provides revenue attribution reports connecting marketing channels to actual paying customers.
Offers funnels, cohort analysis, and activity timelines out of the box as pre-built reports.
Supports 30+ integrations and full CLI/API access even on the free tier.
Prices usage-based, with the per-1,000-event rate declining from $0.20 to $0.10 as volume grows.

Use Cases for Kissmetrics

1

Revenue attribution for marketing

Teams wanting to trace which channels actually produced paying customers, not just leads.

2

Product usage and retention analysis

Product teams tracking cohorts and feature usage to reduce churn.

3

AI-assisted ad hoc reporting

Non-analysts using the AI chat interface to build metrics without writing queries.

4

Cross-device customer journeys

Businesses wanting a unified view of a person's activity across web and app sessions.

Pros & Cons of Kissmetrics

Pros

  • Generous free tier (100,000 events/month) with no credit card required to start.
  • Person-level and identity-resolved data gives deeper insight than pageview-only tools.
  • AI chat interface lowers the barrier to building custom reports without SQL.
  • Usage-based pricing scales down per-event cost automatically as volume increases.

Cons

  • Usage-based billing can become unpredictable for sites with spiky traffic.
  • Advanced behavioral audiences and full reporting require the paid Growth tier and above.
  • Long-established brand; some newer competitors iterate faster on UI.

Frequently Asked Questions

Is Kissmetrics free?

Yes, the free plan covers up to 100,000 events per month with no credit card required.

How is Kissmetrics priced above the free tier?

Paid tiers are usage-based, starting around $99/month and charging a declining rate per 1,000 events as volume grows.

What is 'Ask it' in Kissmetrics?

It is an AI chat interface that lets users build metrics and query analytics data conversationally.

Does Kissmetrics track individual users or just pageviews?

It tracks person-level behavior with identity resolution, unifying a customer's activity across devices.

Pricing Overview

View full pricing →
Freemium

Free

$0

Growth

From $99/month

Silver

Usage-based

Gold

Usage-based

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About the Product

Unclaimed Listing
Platforms
Target AudienceGrowth and product teams wanting person-level analytics tied to revenue and retention

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Tags

product-analyticsperson-level-trackingrevenue-attributionai-analyticscohort-analysis

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