Real-user monitoring
Tracks actual web and app traffic rather than relying only on synthetic tests or manually defined journeys, so it can surface issues in real user scenarios.
Trackingplan is an automated quality and observability layer for marketing and analytics data. It monitors real user traffic across web and app environments to detect tracking, consent, privacy, and campaign issues before they distort reporting or waste budget.
Trackingplan is an automated observability and quality layer for marketing and analytics data. It watches real user traffic across web and app environments, detects breaks in tracking and campaign setup, and helps teams investigate issues before they distort reports, budgets, or decisions.
The product is positioned for analytics, marketing, agency, and IT teams that need continuous QA without relying on manual checks. Its workflow centers on install, automatic discovery, real-time monitoring, alerting, and guided debugging, with separate views for tracking, privacy, consent, and campaign performance.
Tracks actual web and app traffic rather than relying only on synthetic tests or manually defined journeys, so it can surface issues in real user scenarios.
Sends automated alerts when tracking, marketing, consent, or privacy issues appear, helping teams catch breaks as they happen instead of weeks later.
Helps identify what changed, why an event or pixel failed, and how to resolve it with guidance from the AI-assisted debugger.
Checks consent, cookies, and CMP behavior so tags fire only after proper opt-in and privacy-related issues are easier to spot.
Monitors UTM naming and campaign tagging problems to protect attribution and reduce waste in marketing performance workflows.
Supports web, iOS, Android, and backend tracking, with additional tools such as journey exploration and data exports mentioned on the pricing page.
Teams use Trackingplan to catch broken events, pixels, or tag changes after front-end releases, consent updates, or other implementation changes that would otherwise go unnoticed.
Marketing teams use it to spot UTM and campaign tagging mistakes before they damage audience targeting or attribution quality.
Agencies use the platform to watch multiple client setups, reduce manual QA, and detect silent breaks before clients do.
Product and engineering teams use it to validate analytics in real time without recreating complex user environments or digging through raw network requests.
Privacy and compliance teams use the consent and cookie checks to verify that tags fire only after the right opt-in and to surface data collection issues earlier.
Trackingplan is installed by pasting a lightweight JavaScript snippet into a tag manager or by embedding its SDK in iOS and Android apps. After setup, it begins learning from real user traffic and monitoring activity continuously.
It is designed for teams that need to monitor analytics, marketing, consent, and tracking quality across web and app environments. The site highlights analytics teams, technical marketing, agencies, and IT teams as primary users.
Trackingplan watches real user traffic and surfaces issues through automated alerts, then helps pinpoint root causes and step-by-step fixes with its AI-assisted debugger. It also includes views such as web tracking monitoring, app tracking monitoring, consent and cookie checking, and marketing performance monitoring.
The pricing page shows a Free plan, a pay-as-you-grow option billed monthly, an Enterprise option with custom pricing starting at $1,750 per month billed annually, and an Agencies path that says to contact sales. It also mentions a 14-day free trial for the pay-as-you-grow plan.
The source does not describe strict implementation limits, but it does note that some features and support vary by plan, including standard roles, live setup help on paid plans, API access for enterprise, and SLA-backed support for enterprise customers.