Compare # DataTrue: pricing, alternatives and how it compares DataTrue walks the journeys you define, on a schedule, and its team maintains them for you. Trackingplan reads the hits your real users send. This page covers what DataTrue does, what it charges as published, and when each method fits. discover ## Two methods, two questions DataTrue DataTrue describes itself as “Automated tag, analytics, and consent testing for websites and mobile apps.” It scans your pages, walks journeys such as checkout and signup step by step in real browsers, repeats them on a schedule across regions and consent states, and its team configures and maintains the tests and reviews each report. Trackingplan Trackingplan reads the hits your real users send to your analytics, marketing and product tools, infers the schema from that traffic, and tells you when a release, a tag or a consent state changes what arrives. No journeys to walk, no schedule, nothing to keep in step with the site. ## What DataTrue is and who it fits DataTrue is a testing service for tags, analytics and consent. Its site, in October 2026, says it “continuously tests and monitors the analytics tags, cookies, and consent on your live website and mobile apps”, and that “Our team does the configuration, maintenance and reporting for you.” Every plan comes with a dedicated DataTrue expert and a human-reviewed report. The work it does: coverage scans of a whole site, step-by-step tests of journeys such as checkout and signup, scheduled runs with alerts by email, Slack or webhook, consent tests per region including Global Privacy Control signals, checks for events that stop firing, wrong IDs, double counting and dataLayer mismatches, validation of iOS and Android SDK events, and pre-release tests of an unpublished Google Tag Manager container or Adobe Tags library. An API comes with the Team plan and an MCP server with Enterprise. It fits teams that want the synthetic method without running it themselves: an analytics or privacy team that can list the journeys and regions that matter, wants someone else to script and maintain them, and values a report a person has read before it lands. ## DataTrue pricing: what is public DataTrue publishes its [plans and prices](https://datatrue.com/pricing), billed annually and invoiced up front, in US dollars: - **Starter**, $16,000 a year: 10,000 pages scanned a month, 2 domains, 2 users, the base test suite and a monthly report. - **Team**, $32,000 a year: 50,000 pages a month, 6 domains, 5 users, the API and the integration toolset. - **Enterprise**, $48,000 a year: 500,000 pages a month, unlimited domains monitored, 50 custom journeys built and maintained for you, mobile app testing, the MCP server. - **Unlimited**, $90,000 a year: no page metering; journeys, setup and reports by agreement. There is no setup fee, journey runs are not metered separately, extra domains and journeys are quoted, and a 30-day free trial covers one domain with the base tests. A 90-day exit option exists on a full contract, with the first quarter paid up front. What the bill scales with: pages loaded during scans and journey steps, domains, and the custom work DataTrue’s team does for you. Coverage is a budget line you set in advance. ## Where DataTrue is strong - **Done for you.** The scripting and the upkeep that make synthetic testing expensive to run in-house are part of the service. - **Consent by region.** The same journey runs accepting, rejecting and with a GPC signal, from the locations you choose. - **Before the release.** An unpublished GTM container or Adobe Tags library can be tested before it goes live, when there is no traffic to watch yet. - **Published prices.** You know the price range before the first call. ## Where scheduled journeys fall short A journey sees the steps it walks, on the schedule you set, under the consent states you chose. Between two runs, and on every path that was not scripted, nothing is watched. A property that disappears from the add-to-cart event on one Android version, or a pixel that starts firing before consent in one market, shows up only if a journey happens to pass there. Metering by pages makes coverage a decision rather than a default: the larger the site, the more you choose what not to scan. And a monthly report, however well reviewed, is a monthly cadence. As Rasmus Frølund of Fact puts it in his story, the question is whether you want to know about problems when they happen, or two weeks after. ## How Trackingplan differs Trackingplan does not walk journeys. One tag, SDK or server-side hook, and it reads the hits your real users send to 170+ analytics and ad providers: GA4, GTM, Adobe, Meta, Google Ads, TikTok, your CDP, your consent vendor. Events, properties and funnels are inferred from that traffic, so there is nothing to script, nothing for a team to maintain, and nothing to choose: every page a user visits is covered the moment it gets traffic. Issues arrive when they appear, grouped, with a root cause and sent to the team responsible for them. The consent state travels with every hit, so a vendor that fired before the banner was answered is caught on the visitor who saw it, not on a simulated one. Pricing follows sessions, not pages scanned: Starter is 89€/month with 300k sessions, Growth 699€/month, Enterprise 2,000€/month, and the 9-day free trial runs on your real traffic. Where it stops: a page nobody visits produces no hits, so a pre-release test of a container on an empty staging site is a job for a scanner. Teams that need both keep the scanner for the release gate and Trackingplan for everything after it. ## DataTrue alternatives - **Same method, another vendor.** [ObservePoint](/alternative-to-observepoint) prices page scans and journey runs on a public calculator; [Tag Inspector](/alternative-to-tag-inspector) simulates users for consent audits with a governance focus; [Seenaptic](/alternative-to-seenaptic) and [Data On Duty](/alternative-to-data-on-duty) also run scheduled synthetic tests. - **A different method.** Trackingplan monitors real traffic continuously, without journeys. The table below compares the two. For how the methods compare on privacy checks, read [how to detect PII leaks in marketing tracking](/blog/pii-leak-detection-tools); for the wider market, [ObservePoint competitors for analytics QA](/blog/observepoint-competitors). Competitor facts read on its own site on October 20, 2026. Tell us if something changed. comparison ## DataTrue vs. Trackingplan, feature by feature | Feature | DataTrue | Trackingplan | | --- | --- | --- | | Coverage & monitoring | | | | Coverage | Coverage scans and scripted journeys, metered by pages loaded per month. | Every page, event and property your users touch, with no page metering. | | Visibility | What the journeys walk, when the schedule runs, in the consent states configured. | What real users send, as they send it, in the consent state they chose. | | Cadence | Scheduled runs; a monthly report on Starter and Team. | Continuous; issues when they appear, a daily digest. | | Setup & maintenance | | | | Initial setup | DataTrue’s team configures the base tests; custom journeys are built for you on Enterprise. | Automatic. The schema is inferred from real traffic; nothing to script. | | Maintenance | Done by DataTrue’s team, within the journeys and domains of your plan. | None. New pages, events and releases are picked up from traffic. | | Consent & privacy | | | | Consent tests | Per region, accepting, rejecting and with GPC, on simulated visits. | On every real hit, with the visitor’s actual consent state. | | Personal data sent to unapproved domains | *■*Yes | *■*Yes | | Pre-release test of an unpublished GTM container | *■*Yes | Monitors any environment that has traffic; an empty staging site produces no hits. | | Platforms | | | | Mobile apps | iOS and Android SDK validation on Enterprise. | Web, mobile and server-side on every plan. | | Marketing pixels and ad platforms | Tag validation on the pages scanned. | 170+ analytics and ad providers, seen at the source. | | Alerts & diagnosis | | | | Notifications | Email, Slack or webhook | Email, Slack, Teams or API | | Root Cause Analysis | *—*No | *■*Yes | | Explore any user session | *—*No | *■*Yes | | Track frontend and tag manager releases | *—*No | *■*Yes | | API and MCP | API on Team and above; MCP server on Enterprise. | Trackingplan MCP for Claude, ChatGPT or Cursor. | | Pricing & cost | | | | Pricing | From $16,000 a year, billed annually, by pages scanned, domains and users. 30-day free trial on one domain. | By monthly sessions. Starter 89€/month, Growth 699€/month, Enterprise 2,000€/month. 9-day free trial on your real traffic. | [Start free trial →](https://app.trackingplan.com/signup) [Book a demo](/demo) trackingplan ## What Trackingplan does instead Error detection and root cause analysis on real traffic, in every environment, without a journey to maintain. - ### Plug & play installation One tag, SDK or server-side hook. Events appear as traffic flows, on web, mobile and server. - ### Automated discovery Trackingplan discovers and monitors all the data your apps and websites send to your third-party integrations, whether analytics, marketing automation, pixels or campaigns, right after installation. - ### Alerts with a cause Every hit is audited around the clock. When an event, a property or a pixel changes, the issue arrives with its root cause and goes to the team responsible for it. > At the end of the day, as an agency, you have to decide whether you want to know about problems when they happen, or two weeks after they happen. **Rasmus Frølund** Founder & CEO, Fact ![Fact logo](/images/693166f01ef2191aca02b657_fact-dark.svg) [Read their story →](/customer-stories/how-fact-keeps-analytics-accurate-for-a-growing-client-portfolio) Book a demo ## Let’s see if we’re a match, data-style. This isn’t a sales call. A 30–45 minute conversation about your data quality, where a managed test suite fits and where it doesn’t, and whether Trackingplan would catch what the schedule misses. [Book a demo →](/demo) [Start free trial](https://app.trackingplan.com/signup) Other comparisons ## Trackingplan vs. our competitors See how Trackingplan differs from each of them. - [ObservePoint vs. Trackingplan Page scans and journey runs priced per year on a public calculator. Trackingplan reads real traffic, with no journeys to script. **Check alternatives to ObservePoint**](/alternative-to-observepoint) - [Tag Inspector vs. Trackingplan Consent audits with simulated users, monthly. Trackingplan checks the consent state on every real hit. **Check alternatives to Tag Inspector**](/alternative-to-tag-inspector) - [Seenaptic vs. Trackingplan Manual UTM and campaign checks are slow and error-prone. Trackingplan detects inconsistencies automatically. **Check alternatives to Seenaptic**](/alternative-to-seenaptic) - [Data On Duty vs. Trackingplan Manual setup, simulated tests, and scheduled executions can miss live issues. Trackingplan monitors real user interactions and tracking quality automatically. **Check alternatives to Data On Duty**](/alternative-to-data-on-duty) - [Avo vs. Trackingplan Predefined plans need manual review for changes. Trackingplan validates live tracking automatically. **Check alternatives to Avo**](/alternative-to-avo) - [BigQuery ML vs. Trackingplan Manual model setup, data exports, and rule configuration make anomaly detection complex. Trackingplan monitors real user interactions and validates tracking in real time. **Check alternatives to BigQuery ML**](/alternative-to-bigquery-anomaly-detection) - [GA4 Alerts vs. Trackingplan Manual thresholds and delayed notifications can miss issues. Trackingplan provides real-time alerts for anomalies and broken tracking. **Check alternatives to GA4 Alerts**](/alternative-to-ga4-alerts) - [Why Trackingplan stands apart Move beyond manual setups and synthetic tests with zero-config setup, automated discovery, and real-time monitoring of real user traffic. **The Trackingplan Difference**](/compare)