AI-native analytics that ships the action, not just the chart
TrackCrumb tracks user behavior, surfaces AI insights, and lets you act in one click — without stitching together five tools.
Features
Everything you need to build a better product
Lightweight SDK
≤25 KB gzipped. Autocapture clicks, pageviews, form submits. First event in 5 min.
// Installnpm install @trackcrumb/sdk// InitTrackCrumb.init("your-write-key")Trends, funnels, retention
Time-series, ordered conversions, weekly cohort grids — no SQL required.
Session replay & heatmaps
rrweb v2 playback with PII masking by default. Click density per URL.
AI-Native Intelligence
Multi-turn AI chart builder, anomaly detection with natural-language explanations, predictive churn scoring — gated by per-tenant budgets and zero-retention LLM routing.
AI chart builderAnomaly detectionChurn predictionAI explanationsCohorts & groups
Dynamic + static segments with compound conditions. Company-level analytics across every chart.
In-app messages
Modals, banners, tooltips. NPS + rating + choice + text. Rule builder with cohort targeting.
Experiments & flags
Bayesian engine, SRM auto-pause, holdouts, segment breakdown, power calculator.
AI-native
Not a chatbot bolted onto a dashboard
The model has structured access to your schema, your metrics, and your users — gated by per-tenant budgets and zero-retention LLM routing.
AI chart builder
Multi-turn chat with conversation history; Claude writes ClickHouse SQL and renders the chart.
Anomaly detection
Rolling 28-day median + MAD on your top 20 metrics; flagged automatically.
AI anomaly explanations
Claude Haiku explains why a metric moved, with semantic-cache for repeat queries.
Churn prediction
XGBoost binary classifier + Cox PH survival curves, refreshed nightly with SHAP attribution per user.
AI "why" for at-risk users
Natural-language summary of churn drivers for each high-risk account.
At-risk users
Predictive Intelligence
XGBoost binary classifier + Cox PH survival curves, refreshed nightly. SHAP attribution explains exactly why each user is at risk — so you can intervene before they churn.
✨ AI: Alice M. is high-risk — dropped from daily to weekly sessions, skipped onboarding step 3.
Why TrackCrumb
How we compare
Factual feature comparison. Claims sourced from public docs.
Early customer testimonials will appear here.
Pricing
Simple, event-based pricing
Start free, upgrade as you grow. No overage surprises.
FAQ