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.
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 .
To make informed decisions, we at Gridonic, a digital agency , follow a clearly structured analytics process consisting of five steps:
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.
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.
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.
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.
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.
In summary, a clearly structured analytics process at Gridonic enables data-driven decision-making and the continuous optimization of the user experience.