Trackingplan auto-discovers your stack, monitors every signal 24/7, and resolves issues before they corrupt your data.
Six steps. One autonomous AI layer. No ongoing maintenance required.
Copy a lightweight snippet into your Tag Manager — or embed the SDK directly. Works with web, iOS, Android, and server-side stacks. Zero impact on performance.
→ Google Tag Manager or direct JS embed
→ Native iOS & Android SDKs available
→ Server-side and API ingestion supported
→ GDPR-safe by design — no PII collected
Instead of relying on synthetic tests where only what is defined gets monitored, Trackingplan builds a living tracking plan based entirely on real user data, discovering every event, property, pixel, UTM pattern, and attribution signal from real traffic. No manual setup or schema definition required.
→ Analytics p`roviders, events & properties (GA4, Adobe, Mixpanel, Segment…)
→ Marketing pixels (Meta, Google Ads, TikTok…)
→ UTM parameters & campaign attribution patterns
→ DataLayer structures and custom properties
→ Consent signals & privacy configurations
Documentation gets outdated, real-time monitoring doesn't. Trackingplan AI learns what "normal" looks like for your stack and continuously compares incoming data against those patterns.
→ Missing or broken events and properties
→ Sudden drops and spikes in event volume
→ Pixel firing issues across all ad networks
→ UTM inconsistencies and attribution gaps
→ Consent and privacy configuration drifts
Go beyond reactive monitoring with real-time automated alerts that surface issues the moment they appear.
→ Smart thresholds – automatically learned from your traffic to avoid noisy false positives from temporary changes or toggled campaigns.
→ Alerts based on real data deviations, not synthetic tests.
→ Real-time monitoring alerts your teams instantly to unexpected deviations, so issues are caught and fixed immediately, avoiding delays from next-day reporting.
No more digging through GTM, GA4, or deployment logs. Trackingplan's AI correlates anomalies with deployments, tag changes, and campaigns, giving you step-by-step instuctions on how to fix them.
→ Correlates with Tag Manager container changes
→ Correlates with code deployment timestamps
→ Correlates with consent config updates
→ Correlates with campaign and pixel launches
→ Step-by-step fix instructions, in plain language
From real sessions to historical snapshots, Trackingplan captures in real time every action your real users take to see exactly how they interact with your site and apps, even for those tricky cases that are impossible to reproduce manually.
→ Complete, daily snapshot of your DataLayer and events, letting teams review historical states days or weeks later to map incidents to production changes
→ Explore real sessions, skip the browser pain. Stop spending hours reproducing issues in the browser. Trackingplan automatically captures every edge-case scenario, letting you explore real user sessions, events, and flows.
As new events, campaigns, and team changes happen, Trackingplan adapts automatically. Your tracking plan stays current, without anyone having to do a thing.
→ New events auto-discovered as they appear in production
→ Auto-dicovery of releases, pixels, and properties.
→ Seasonal and campaign baselines updated continuously
→ Zero ongoing configuration or manual updates needed
Automated observability across tags, pixels, events, consent, and attribution — all in one place.
Every event and property monitored in real time across all analytics platforms.
Validate every ad pixel fires correctly — protect your attribution and ROAS.
Catch UTM inconsistencies before they corrupt campaign attribution and reporting.
Monitor consent signals and cookie configurations — stay GDPR and CCPA compliant.
Native SDKs for iOS and Android bring always-on coverage to your mobile stack.
Detect tag firing issues and container changes before they impact your data.
Replace manual QA workflows with specialized AI agents automating every stage of analytics quality — from discovery to governance.
Maps your entire tracking ecosystem from real user data. No schemas or setup required.
Watches every analytics signal, pixel, and UTM continuously to detect anomalies the moment they happen.
Traces root causes instantly. telling you exactly what broke and how to fix it in plain language.
Enforces naming conventions, UTM standards, and consent compliance across every team automatically.
Automate data quality checks so you can focus on insights you can trust, not defending reports you can’t confidently stand behind.
Every hour chasing broken tags is an hour your team should be spending on what actually matters.
— Manual QA checklist before every release
— Hours debugging broken events in GTM & GA4
— Chasing teams about UTM mistakes
— Data drops discovered days after the fact
— Tracking documentation going stale immediately
— No visibility into pixel or attribution health
→ AI monitors everything, continuously and automatically
→Issues detected instantly, before they reach reports
→ Root cause explained in plain language
→Fixes suggested without digging through logs
→ Living tracking plan maintained autonomously
→ Full-stack visibility: events, pixels, UTMs, consent
