Infrastructure
FastTrack Analytics
UX analytics with owned data: event ingest, session replay, heatmaps, and alerts on your infrastructure.
First tenant: FastTrack BKK. Browser SDK only, no shared database with the booking app. Data ownership by design.
FastTrack Analytics was first deployed for FastTrack BKK, capturing real booking funnel traffic across consumer sites. The browser SDK runs independently from the booking application database. Session replays and heatmaps informed actual UX fixes under production load, not synthetic test data.
The problem
Third-party analytics rent you a dashboard while holding your behavioral data, session replays, and event pipelines hostage. Export limits mean your data never compounds on your side.
For a booking-heavy travel site, that means funnel drop-offs, rage clicks on payment flows, and session replays that could explain conversion loss sit behind a vendor's event quota. You pay more as traffic grows, but the underlying data remains theirs. Cross-referencing analytics with your own booking database requires exports, ETL, and hope the vendor does not change the schema.
The solution
A production-grade analytics platform with browser SDK ingest, replay chunk storage, heatmap rollups, and alerting, all running on infrastructure you own. First deployed for FastTrack BKK under real booking traffic.
The browser SDK batches events to your ingest API. Replay chunks land in blob storage you control. Heatmaps roll up from click and scroll depth events in your Postgres. Alerts fire to Slack webhooks you configure. Retention crons and weekly reports run on your schedule, not a vendor's data plan.
What you own
- ▸ Raw event data, session metadata, and replay chunks in your Postgres and blob storage
- ▸ The ingest API endpoints and browser SDK, no shared vendor pipeline
- ▸ Heatmap rollups, alert rules, and report schedules under your control
- ▸ API keys, retention policies, and data deletion workflows you define
What you stop paying for
- ▸ Event-volume tiers and session replay quotas from product analytics vendors
- ▸ Hosted dashboard access that gates your own behavioral data behind export limits
- ▸ Vendor lock-in on replay storage, funnel definitions, and alert integrations
Own vs rent
| Category | Rented (SaaS) | Owned (FastTrack Analytics) |
|---|---|---|
| Pricing model | Event-volume tiers and MTU limits that increase with traffic growth | Flat infrastructure cost with predictable scaling as pageviews grow |
| Data location | Events and replay chunks stored in vendor pipeline you cannot query directly | Raw events in Postgres, replay chunks in blob storage you control |
| API control | Vendor SDK and ingest endpoints with schema changes on their schedule | Browser SDK and ingest API you deploy and version yourself |
| Vendor risk | Quota changes, feature deprecation, and pricing hikes as traffic scales | No vendor gatekeeping on your behavioral data or replay storage |
| Export / retention | Data export limits and retention windows tied to plan tier | Retention crons and deletion workflows you configure |
| Uptime dependency | Dashboard and ingest unavailable during vendor outages | Ingest and dashboard uptime on infrastructure you monitor |
Architecture overview
Talk about FastTrack Analytics
Tell us how FastTrack Analytics would fit your stack. We built it in production first and can speak honestly about what it does and what it does not.
Built in production. Shipped under real load.
Capabilities
- Browser SDK with batch event ingest and consent-aware session tracking
- Session replay chunk storage on your blob layer, not a vendor CDN
- Heatmap rollups from click and scroll depth events
- Configurable alerts with Slack webhook delivery
- Retention cron and weekly report generation you schedule
Architecture
Ready to own this layer?
Start a direct conversation about deploying FastTrack Analytics on infrastructure you control.