Dataviz (Data Visualization)

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

🎯 Objectives:

• Quickly understand large volumes of data,
• Visually identify behavioral patterns, friction points or performance levers,
• Make informed decisions, backed by readable data,
• Effectively share insights at all levels of the organization (product, marketing, management…).

📈 Challenges in a CRO approach:

In conversion rate optimization, dataviz is essential for:

• visualizing drop-off rates in conversion funnels,
• analyzing comparative performance of A/B variants (uplift, confidence, volume),
• tracking key KPIs (CVR, AOV, RPV) by segment, channel, device or page,
• identifying behavioral anomalies (e.g., drop in mobile conversion, friction on a form),
• creating CRO monitoring dashboards for tracking tests, hypothesis backlogs and results per sprint.

🛠️ Examples of tools:

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