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Dimitri Wittwer

Tracking & Analytics

A customized analytics concept is crucial for making the success of digital strategies measurable. At Gridonic, we record precise user interactions in order to make well-founded optimizations. Our reports provide valuable insights that enable targeted adjustments and sustainable success.

#Google GA4#Plausible#Google Tag Manager
Ein Liniendiagramm mit dem Titel „Anzahl der Ereignisse nach Ereignisname im Zeitverlauf“ zeigt Benutzerinteraktionsereignisse zwischen dem 25. Dezember und dem 21. Januar. Spitzenwerte treten um den 2., 8., 15. und 20. Januar auf. Linien in verschiedenen Farben stellen Scrollen, Sitzungsstarts, Scrollen im Ansichtsfenster und Erstbesuche dar.

Which Tools Do We Use for This?

For our analyses, we use Google Analytics 4 and Google Tag Manager. If cookieless tracking is required, we use Plausible to enable tracking in compliance with data protection requirements and to protect user privacy. We prepare the reporting in Looker Studio.

The Analytics Process

To make informed decisions, Gridonic follows a clearly structured analytics process consisting of five steps:

Step 1: Define KPIs and Prepare Data

  • Analyze Business Goals: We identify strategic goals such as user retention or increasing conversions.

  • Set KPIs: Select relevant KPIs that reflect user behavior (e.g., clicks, interactions, scroll behavior).

  • Structured Data Collection: Organize data gathering with clearly defined categories, responsible parties, and timelines.

  • Define Data Sources: Determine relevant sources such as Google Analytics 4 and Looker Studio.

  • Prioritize KPIs: We evaluate the relevance and priority of KPIs to focus on the most important metrics.

Step 2: Choose and Configure Tools

  • Evaluate Tool Selection: Assess the best tools based on project requirements.

  • Configure Tools: Set up Google Analytics 4, Google Tag Manager, or Plausible to collect and analyze relevant data.

Step 3: Configure Looker Studio Report

  • Integrate Data Sources: Connect all relevant sources to the analytics tools.

  • Customize Reports: Optimize dashboards and visualizations to clearly present KPIs.

  • Set Up Interactive Elements: Use filters and drill-downs for detailed analysis.

Step 4: Present Recommendations

  • Summarize Results: Identify key insights from the collected data.

  • Visualize KPIs and Trends: Display trends and their impact on the business.

  • Provide Recommendations: Derive action steps to optimize business strategy and user experience.

Step 5: Monitoring

  • Monitoring and Reporting: Regularly check KPIs and provide reports to track developments.

  • Optimization and Adjustment: Adjust analysis and reporting strategies based on the collected data.

  • Training and Maintenance: Ensure content stays up-to-date and teams are trained accordingly.

  • Develop Long-Term Strategy: Evolve the analytics strategy for continuous platform optimization.

Conclusion

In summary, a clearly structured analytics process at Gridonic enables data-driven decision-making and the continuous optimization of the user experience.