Dataviz (Data Visualization)

A set of techniques for visually representing data to facilitate interpretation, analysis and communication. Dataviz transforms complex and voluminous data sets into clear and accessible graphic representations (graphs, tables, maps, diagrams...), revealing trends, correlations or anomalies that would otherwise be difficult to detect.

🎯 Objectives :

• Understand large volumes of data quickly,
• Visually identify behavioral patterns, friction points or performance levers,
• Make informed decisions, supported by readable data,
• Efficiently share insights at all levels of the organization (product, marketing, management, etc.).

📈 Stakes in a CRO approach :

In conversion rate optimization, dataviz is essential for :

• visualize drop-off rates in conversion tunnels,
• analyze the comparative performance of A/B variants (uplift, confidence, volume),
• track key KPIs (CVR, AOV, RPV) by segment, channel, device or page,
• identify behavioral anomalies (e.g. lower mobile conversion, friction on a form),
• create CRO dashboards to track tests, hypothesis backlogs and results by sprint.

🛠️ Examples of tools :

• Analytics exploration: Google Analytics 4, Mixpanel, BigQuery + Looker Studio
• Visualization of experiments: AB Tasty, Optimizely, Dynamic Yield
• Advanced dataviz tools: Tableau, Power BI, Looker, Datawrapper

‍