Install
Plug & play.
One tag, SDK or server-side hook. Events appear as traffic flows — web, mobile and server.
The AI agent for Analytics & Performance
Trackingplan puts expert digital analytics capabilities in your team’s hands — grounded in what’s actually happening in your data.
Not a sales call. Bring your stack and the data you worry about.
Since 11:02, each purchase goes out to TikTok twice from the same tag: once on the Purchase Confirmation pageview and once on the purchase DataLayer event. TikTok’s bidding has been optimizing on a doubled signal for three hours. GA4 and the other pixels are unaffected.
Cause: the 11:02 publish added the purchase DataLayer trigger to TikTok – Purchase without removing Purchase Confirmation, so both match on every order. One trigger to remove in GTM.
No. Meta is missing 1,642 of this week’s 13,172 purchases — 12.5%, all since March 12.
Look at the rest: Google Ads, TikTok and GA4 sit on the DataLayer line all week. Meta drops on the 12th, when the new consent banner moved the Meta pixel into the marketing category: visitors who decline no longer reach it.
The purchases exist, and every other platform received them. Meta’s bidding has been learning from 87% of your orders for three days.
currency: the ones paid with PayPal. The ad platforms count them with no value. Different bug, different owner: the checkout, not the banner.Meta leads fell 40% from Wednesday, when three prospecting campaigns were paused on that platform. It’s a change in the incoming traffic, not in tracking: Google Ads and organic held their level, and every lead form still reaches all three platforms.
Trusted by 756+ companies putting reliable data in everyone’s hands.

We came across exactly the solution we were looking for. And this is rare; it’s not every day you find something so perfectly suited to your problem.David RascónData & MarTech Consultant, CSA (Havas Media Network)Read the story →

We had to find ways to increase our delivery capacity without increasing workload. Trackingplan helped us do that by automating something that used to be fully manual: analytics QA.Tanya RecousoElogiaRead the story →

Before Trackingplan, issues could easily go unnoticed for two or three weeks, unless we were constantly checking their tracking or reviewing their data.Tyler FrølundFounder & CEO, FactRead the story →

What we needed was a solution that could look at real user sessions and provide live or near-live alerts when something wasn’t working as expected.Persida RoataDigital & Analytics Project Manager, MicroAnalyticsRead the story →


Before Trackingplan, we spent around five to six hours per project every month just debugging and ensuring data accuracy.Álvaro SalmerónDigital Analytics Consultant, On Top MediaRead the story →


Trackingplan is the eye that sees everything, delivering value to our clients even in areas outside our responsibilities.Pablo UrueñaDigital Analytics Manager, SemmánticaRead the story →


Using Trackingplan for our team translates to saving significant resources, both time and money.Bert ReilaAnalytics Manager, RethinkRead the story →
The industry is automating the production of answers without fixing the data underneath. But an agent can’t reliably operate a system it can’t observe.
Without a trust layer underneath, AI doesn’t fix bad data — it just industrializes your organization’s mistakes.
Read the manifesto →Why Trackingplan
Trackingplan works where your data is produced: the hit, the dataLayer, the SDK, the pixel, the CAPI payload, the consent state, the GTM release. That’s where a number becomes true or false — and where Trackingplan actually looks.
Install
One tag, SDK or server-side hook. Events appear as traffic flows — web, mobile and server.
Context
The agent learns your events, names, and what “good” looks like from live traffic. That’s how it distinguishes broken tags from real drops — connecting implementation issues to the numbers they affect.
Monitoring
Anomalies, missing properties, attribution errors, duplicate or broken triggers, consent breaches — caught the moment they appear, posted to the channel that owns them.
Automation
A sentence in plain English becomes a report, a rule or an alert — narrative, chart and evidence, delivered where the team already works.
Paid Media & Performance Teams
Trust the signals your ad spend relies on. Monitor every conversion, UTM, and consent signal across your ad platforms — spotting where you’re losing match rate, where value is missing, where CAPI double-counts, and how much ROAS you’re leaving on the table.
Make sure the signals your bidding agents optimize on are actually trustworthy, before autonomous bidding and budget agents act on bad signals.
Digital Analytics Teams
Trackingplan continuously monitors your implementation — from dataLayer and events to tags and tracking changes — catching issues, regressions, and unexpected behavior as they happen.
Compliance & Legal Teams
Inspect every hit for PII leaks, Consent Mode mis-fires, and vendors firing without permission. The audit your DPO would do manually, on every hit, with the evidence and legal context your privacy team needs to act before a breach becomes a problem.
Agencies & consultancies
Scale your client portfolio, not your payroll. Trackingplan acts as an always-on analyst for every account you manage, automating the work that eats into your team’s time. Increase delivery capacity, reduce operational costs, and turn more revenue into margin.
Reports, rules and alerts that run on the hits themselves, delivered where the team already works, with the evidence behind them. Your cadence, your bar, your channel — and the hours back.
Trackingplan lives where the work already happens: your team chat, the AI tool you already use, or another agent calling it on its own.
Marketing wants ROAS by campaign. Finance wants clean purchases. Product wants funnel drop-off. Trackingplan takes the manual work off the digital analyst’s plate and puts reliable answers directly in everyone’s hand.

“Before Trackingplan, issues could easily go unnoticed for two or three weeks, unless we were constantly checking their tracking or reviewing their data.”

“What we needed was a solution that could look at real user sessions and provide live or near-live alerts when something wasn’t working as expected.”

“We had to find ways to increase our delivery capacity without increasing workload. Trackingplan helped us do that by automating something that used to be fully manual: analytics QA.”

“Before Trackingplan, we spent around five to six hours per project every month just debugging and ensuring data accuracy.”


“We came across exactly the solution we were looking for — and this is rare; it’s not every day you find something so perfectly suited to your problem.”
Trackingplan is your digital analytics agent. It works the way a digital analyst works: it sees the data as it is produced, monitors it continuously across 80+ providers, investigates what happened before it answers, and shows the evidence behind its conclusions.
Ask it a question, give it a task, or let it run an automation. It works from your actual traffic — not from assumptions — and can deliver the answer where your team already works: Slack, Teams, email, your app, or your IDE.
Every request your website, iOS and Android apps, and server-side endpoints send to 80+ providers — including GA4, Meta, Google Ads, TikTok, Bing, Mixpanel, Segment, Amplitude, Snowplow, your CDP, and your consent stack — plus the dataLayer underneath them.
Trackingplan captures the schema, values, providers, consent signals, timing, and implementation context as data flows through your stack. The agent reasons over your actual traffic and its history, rather than filling gaps with a model’s guess.
Because an AI agent can only reason about what it can see.
A warehouse tells you what data eventually arrived. It doesn’t tell you whether the pixel fired correctly this morning, whether a consent state changed, whether a GTM release dropped a parameter, or whether Meta started receiving a different payload after a deployment. By the time the problem reaches the warehouse, the evidence about how the number was produced may already be gone.
Trackingplan starts at that layer. It observes the hits, dataLayer, pixels, SDKs, server-side payloads, consent signals, and implementations that determine what eventually reaches your analytics stack. It automatically builds the schema and semantic context around your real traffic, so the agent can understand what happened, what changed, where it happened, and whether the resulting data can be trusted.
No. Trackingplan is designed to start observing without asking you to build a data model first.
Add one tag, pixel, server-side connection, or our iOS/Android SDK. No tables to expose, no relationships to define, no semantic layer to build, and no tracking plan to configure before the agent can start working. As data flows in, Trackingplan automatically infers your schema and semantic model from what is actually happening.
We are fully committed to respecting user privacy and maintaining compliance with global privacy regulations such as GDPR and CCPA. Trackingplan only observes the data your site or app is already sending to analytics or marketing tools — and only for the purpose of monitoring tracking quality and detecting implementation issues.
In short: Trackingplan never introduces new tracking mechanisms, never stores personal data, and never builds user profiles. We act only as a passive observer of the data you’re already sending to your vendors, with strict safeguards against access to personally identifiable information.
If you want to review the decompiled script under NDA, contact our support team. For a complete overview, visit our Privacy & Security documentation.
It should cannibalize the work nobody wants to bill for.
For agencies and consultants, the value isn’t in spending hours manually checking pixels, chasing broken implementations, or answering the same tracking question for the tenth time. It’s in being able to take on more sophisticated work, serve more clients without adding proportional headcount, and spend your time where expertise actually matters.
Trackingplan automates the repetitive operational layer. Your expertise stays in the loop where judgment matters.
Not a sales call. Bring your stack and the data you worry about.
Trackingplan watches every event and property across web, mobile, and server-side, learns your hour-of-day and day-of-week baselines, and tells you the moment something drifts — in the channel that owns it.
How it works
Anomalies
A traffic drop isn’t always a problem. A spike isn’t always a success. Trackingplan looks at your historical patterns and uses statistical signals — including z-scores and absolute changes — to distinguish meaningful shifts from normal variation.
Implementation issues
Missing properties, dead tags, duplicate fires, broken triggers, naming inconsistencies, orphan events — caught in the wild, on real traffic.
Consent breaches
Vendors firing before opt-in and Consent Mode misfires, tracked per market and per hit.
Noise control
It knows what not to flag: sparse hours, partial buckets, holidays, and the campaign you launched on purpose.
Ask it

“What we needed was a solution that could look at real user sessions and provide live or near-live alerts when something wasn’t working as expected.”
One tag in GTM or your <head>, an SDK in your iOS & Android apps, or a server-side connection — working from day one. No schema to define, no rules to write: Trackingplan automatically discovers every event as real users navigate your websites & apps.
How it works
<head>, the iOS or Android SDK, or a server-side hook.<script async src="https://cdn.trackingplan.com/tp.js" data-tp-id="TP1234567"></script>Web
A GTM template or one script tag. Every request your pages send to every provider, captured at the source.
iOS & Android
Lightweight SDKs that watch your analytics and ad SDKs, without changing how you track.
Server-side
CAPI, Measurement Protocol, or your own backend. The same visibility into the hits that never reach a browser.
Nothing to configure
Events, properties, providers and baselines — all discovered automatically. Your tracking plan builds itself as real-user data flows in.
Ask it

“We came across exactly the solution we were looking for — and this is rare; it’s not every day you find something so perfectly suited to your problem.”
Ask anything. In plain English. Trackingplan builds the automation for you — writing the narrative, creating the chart, linking the evidence, and delivering it where your team already works.
Reports
A weekly leads report, a Monday conversion-gap email, a daily traffic digest. The numbers, the chart, and what changed — written for the people who read it.
Ad-hoc monitoring
Turn the checks your team cares about into always-on monitoring: “Logged-in users must always carry user_id”, “Every purchase must include currency”…
Routing
Slack, Teams, email, Jira, or a webhook. Every automation goes where its audience already works, with the evidence linked.
Your touch
Add your reading of the numbers before it goes out. The analyst’s note travels with the report.
How it works
Ask it

“Trackingplan allows you to direct your efforts to the most impactful areas, which means better outcomes with fewer resources wasted.”
GA4, GTM, Meta, Google Ads, TikTok, Pinterest, your CDP, your consent vendor. Trackingplan inspects every request to more than 80 analytics and ad providers and cross-checks them against each other.
Analytics
GA4, Adobe, Amplitude, Mixpanel, Piwik, Matomo and the rest — events, parameters and user properties as they are actually sent.
Ads
Meta, Google Ads, TikTok, Pinterest, Bing, LinkedIn: conversions, values, click IDs and match keys, pixel and CAPI side by side.
CDPs & tag managers
Segment, Tealium, mParticle, GTM: what goes in, what comes out, and what got lost in between.
Consent
OneTrust, Cookiebot, Didomi, Usercentrics and Consent Mode: the consent state travelling with every hit.
Ask it

“Trackingplan is the eye that sees everything, delivering value to our clients even in areas outside our responsibilities.”
From the first hit, Trackingplan learns your schema, your naming, and what “revenue” or “signup” mean in your stack — and keeps that knowledge current as your data changes. No rules to build, no setup project, no time spent teaching AI your data.
How it works
Auto-inferred tracking plan
Every event, property and value range, discovered from real-user traffic and kept up to date.
Semantic model
Raw events mapped to the concepts your team talks about, so anyone can ask about revenue, not about purchase.value.
Release awareness
What changed, when, and in which GTM version or app release. Every answer knows what shipped.
Living documentation
The plan you never had time to write, always current, with the evidence one click away.
Ask it

“Trackingplan picks up everything automatically, allowing us to see the data and dig into it without us configuring things on our own.”
Trust the signals your ad spend relies on. Monitor every conversion, UTM, and consent signal across your ad platforms — spotting where you’re losing match rate, where value is missing, where CAPI double-counts, and how much ROAS you’re leaving on the table.
Reliable conversions
Pixel vs CAPI vs GA4: the same purchase, counted once, with the same value, across every platform.
Value accuracy
Wrong values, inconsistent tax or shipping, or the wrong currency — discrepancies that can skew ROAS and bidding.
Click IDs & match rate
gclid, fbclid, event_id, email hashes: the signals that connect conversions back to ads — and how many conversions lose that connection.
UTM & campaign hygiene
Naming conventions, broken UTMs, and campaigns attributed to the wrong source — so you know exactly where your spend is going.
Sounds familiar?
A missing purchase, a duplicate event, a broken pixel — every bad signal teaches your campaigns the wrong lesson.
And your ad spend follows.
Trackingplan monitors your marketing data 24/7 to keep campaigns accurate, compliant, and profitable: every live campaign, every pixel, every UTM and every consent signal, with gaps quantified in money and routed to whoever owns the tag — before bidding acts on them.
Ask it

“Trackingplan has given our media team the visibility and autonomy to understand what’s implemented, what’s not, and how everything is performing.”
70% of your analytics capacity goes to work that never makes it into the dashboard: verifying data, maintaining implementations, diagnosing issues, debugging what breaks. It rarely gets seen, but every number depends on it.
This work is non-negotiable. Doing it yourself is.
Data checks
Every event, property and value verified on real traffic, around the clock: coverage, types, casing, consent — before the number lands in a dashboard.
Implementation maintenance
A living schema of your tracking, kept current with every release: what appeared, what disappeared, what changed shape, and who owns it.
Diagnosis
A drop, a spike, a gap between platforms: Trackingplan investigates before it answers and tells you whether it’s demand or tracking.
Debugging
Real sessions and payloads, from the dataLayer to the destination, with the tag, the trigger or the variable that caused it.
Sounds familiar?
None of them really needed your judgment. But they still need your time. So the work that actually does need an analyst keeps waiting.
And everyone else waits with it.
Trackingplan takes care of repetitive questions, reports, and data checks, giving analysts their time back — and everyone else an answer.
Ask it

“Before Trackingplan, we spent around five to six hours per project every month just debugging and ensuring data accuracy.”
Trackingplan inspects every hit for PII leaks, Consent Mode mis-fires and vendors firing without permission — across web, mobile and server-side. The audit a DPO would do manually, on every hit, automatically, with the legal context attached.
PII in payloads and URLs
Emails, names, IDs and addresses travelling in parameters, page paths or referrers, to any provider.
Consent Mode & CMP
The consent state on every hit, checked against what actually fired: analytics, ads, personalisation.
Vendors before opt-in
Pixels and SDKs that load or fire before the banner is answered, per market and per platform.
Evidence, ready for legal
Findings land in your privacy channel with the hits, the vendor, the market and the regulation involved.
Sounds familiar?
New tags, vendors, markets, releases, consent rules. One small change can quietly change what data is collected, where it goes, or when it’s collected.
Trackingplan reads the consent state travelling with every hit, on every device, checks every vendor and every payload against it continuously, and reports breaches with the exact hits — so the fix is a tag change, not an investigation.
Ask it
Scale your client portfolio, not your payroll. Trackingplan acts as an always-on analyst for every account you manage, automating the work that eats into your team’s time. Increase delivery capacity, reduce operational costs, and turn more revenue into margin.
One digest for every client
Every morning: what is red, what is yellow, what moved — per client, in one channel. Triage, then drill into any of them.
Routed to the account team
Alerts land with the team that owns the client, not in one inbox. Criticals page whoever is on call; the rest waits for the evening digest.
Patterns across clients
The same template, the same migration, the same mistake: seen once, fixed once, and the clients that haven’t published yet are warned first.
Client-ready reports
Monthly audits and dashboards with your brand on them and an evidence link behind every number, ready for the client review.
Sounds familiar?
But when you’re juggling multiple clients, things can easily slip through the cracks — until a client raises an issue you wish your team had caught first.
No more last-minute debugging marathons before client calls. No more “we’ll get back to you once we check the tracking.” Just reliable data, from tag to report.
Ask it

“We had to find ways to increase our delivery capacity without increasing workload. Trackingplan helped us do that by automating something that used to be fully manual: analytics QA.”