Mobile application tracking: how to effectively overcome this challenge and ensure reliable and compliant monitoring?

Avec des applications qui deviennent de plus en plus le centre de notre utilisation quotidienne du digital, comprendre et maîtriser le tracking des applications mobiles est crucial. Cependant le suivi analytique des applications présente de multiples défis techniques. Depuis 2022, le trafic issu des applications mobiles a surpassé celui des sites web traditionnels. En France, […]

With applications that are increasingly becoming the center of our daily use of digital technology, understanding and controlling the tracking of mobile applications is crucial. However, the analytical monitoring of applications presents multiple technical challenges.

Since 2022, traffic from mobile applications has surpassed that from traditional websites.

In France, users spend more than four hours a day on native applications. Check your own screen time to get to the bottom of it!

Despite their omnipresence in our daily lives, the analytical monitoring of these applications represents a real technical challenge. Numerous tools are available on the market to overcome these difficulties, including Firebase/GA4, Mixpanel, Data.ai, Adjust, and Amplitude. However, their SDKs can be complex to master.

The challenges of tracking mobile applications include: Multiplatform management:

this concerns Android and iOS, but also frameworks such as Flutter, Ionic

or React Native.

Offline event tracking.

The complexity of monitoring marketing campaigns, with intermediaries such as stores that can complicate the link between viewing the advertising and installing the application.

Privacy compliance requirements, such as Apple's App Tracking Transparency (ATT)

The actual implementation of these processes is often complex and may require the use of proxies like Charles, as well as the installation of certificates and other specific configurations.

The cost in terms of workload is significant, especially because a tracking problem in an application version remains in production not only until the next update, but also until all users have completed this update. This process can take several months, even if the problem is fixed quickly.

Seenaptic comes into play to meet these challenges by regularly recording and testing user journeys, in particular before each deployment, by verifying the correct triggering of all tags for all versions of applications still supported, by ensuring that user consent is respected.

Optimizing the monitoring of mobile applications is not only a technical challenge, but also a strategic necessity for any company wishing to remain competitive in the digital space. With tools like Seenaptic, you can not only navigate but also master these complexities, ensuring the efficiency and compliance of

your mobile solutions.

Reading time

4 min

Similar content

Gouvernance Tracking : des données auxquelles vous pouvez enfin faire confiance

Governance & Tracking: data you can finally trust

Maybe your dashboards are accurate.

However, the data that feeds them must also be fed.

Today, digital teams are investing in ever more efficient analysis tools. However, they continue to face tracking anomalies detected too late, alerts that are difficult to interpret, or incidents that go unnoticed until they impact business decisions.

The real challenge is therefore no longer just to measure the performance of a site or an application.

It is to be able to trust the data that is used to manage the activity.

Comment j’ai sécurisé le tracking et garantit la qualité des data de Boulanger avec Netvigie Tracking

How I secured the tracking and guaranteed the quality of Boulanger's data with Netvigie Tracking

To guarantee reliable data and avoid tracking errors in its digital ecosystem, Boulanger chose Netvigie Tracking. Thanks to the automation of monitoring, the web analysis and data teams detect anomalies more quickly and guarantee collection in accordance with the GDPR, a key challenge for the brand.

Business Talk Data & AI

AI doesn't turn bad data into good decisions. In this Business Talk, Thomas Pinte (Netvigie), Nicolas Malo and Hugo Stepien (Optimal Ways) explain how to make your digital and e-commerce data reliable before entrusting them to AI.

RUM et Monitoring Synthétique : les deux piliers du monitoring web

RUM & Synthetic Monitoring: the two pillars of web monitoring

RUM or synthetic monitoring: should you choose? The answer is clearly no. These two approaches complement each other perfectly to ensure the quality of your data and offer the best possible user experience. In the world of web monitoring, two methodologies stand out: RUM (Real User Monitoring), which is based on data from [...]