Trackingplan will start listening to all the data your sites and apps are sending to your third-party integrations right after its installation.
From there, our algorithm automatically discovers all the analytics, marketing and product providers you're sending data to, including the ones that don't have APIs or are expensive, or even the ones built in-house.
All teams involved in the data collection process keep working as they used to without forcing you to pass all your data through us to process it.
Setups that take between weeks and months or even force you to change how you code your analytics.
Marketing or sales integrations are not supported, or simply don't understand the data in the payloads at event level, making it difficult to work from the Product Manager & Devs perspective.
They force you to pass all your data through their systems in order to process it. Expensive because they need to process all the data.
Installing Trackingplan is as simple as copying and pasting a code snippet.
Trackingplan auto-detects your actual analytics schema by continuously monitoring your web and app traffic, product data, marketing pixels, campaigns, and data privacy.
Have your implementations automatically audited around the clock with real-time data, knowing you’ll be instantly notified about any error or change happening in our digital analytics.
Requires manual setup, forcing users to manually define and update user paths and tags.
Focuses solely on tag-level error detection, limiting its scope to identifying tagging errors within specified journeys, cookies, new technologies, website time responses, and 404s.
Since they don't understand the data in the payloads at event level, they can't check if events are sent correctly or have changed over time, nor create alerts based on integration semantics.
Offers comprehensive tracking implementation and continuous monitoring, including plug-and-play installation, automated schema discovery, and real-time alerts for errors or changes.
Comprehensive monitoring of all the data your apps and websites send to your third-party integrations, no matter their nature.
Installing Trackingplan is as simple as just copying and pasting a code snippet into the head of your site. If you ever decide to stop using Trackingplan, you can simply remove it to to discontinue its functionality.
Focuses on collaborative analytics governance, providing tools for tracking plan documentation, version control, and collaboration among cross-functional teams.
Focuses solely on product analytics governance, concentrating around documentation, management and governance of tracking plans.
You need to manually insert their code into each event you implement for them to monitor it. This code then remains scattered throughout your entire website or apps, and entangled in all your events.
Trackingplan’s automatic discovery of your actual analytics schema provides an always-updated overview of your analytics setup without requiring manual input.
Trackingplan directly captures live data from users’ real devices via SDKs, ensuring accurate insights based on actual user interactions.
Trackingplan provides continuous, automated monitoring to catch tracking issues in real-time, ensuring proactive issue resolution and consistent data integrity.
Seenaptic requires manual definition of journeys for validation, which can be time-consuming and less adaptable to changes in user behavior.
Tests in Seenaptic are run through simulated environments, relying on predefined scenarios executed in device farms.
Seenaptic runs tests on a scheduled basis, lacking continuous, real-time monitoring. This can result in missing issues that arise during live user interactions, potentially delaying the detection of tracking problems.
Trackingplan automatically provides an overview of your analytics and tracking setup, eliminating the need for manual configuration.
Trackingplan directly captures live data from users’ real devices via SDKs, ensuring accurate insights based on actual user interactions.
Explore the behavior of your data and your visitors' journeys and sessions in real-time, including data collected through pixels and any other integrated tools, without waiting for analytics platform consolidation.
Requires users to import, design, and generate their tagging plans manually, requiring more time compared to solutions that provide out-of-the-box insights.
Tests in Dataonduty are run through simulated environments, relying on predefined user scenarios with hypothetical paths to test functionalities and user flows.
Dataonduty runs tests on a scheduled basis, lacking continuous, real-time monitoring. This can result in missing issues that arise during live user interactions, potentially delaying the detection of tracking problems.
Once the audit is complete it truly is a breeze to keep an eye on things as soon as they break.
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