How do you handle data in analytics to gain greater insights into our audience’s behaviour?

Segmenting data in analytics allows you to break down your audience into smaller, more specific groups based on shared characteristics or behaviors. This provides deeper insights into how different user types interact with your website or content, enabling more targeted and effective marketing strategies. For example, you can segment users by geographic location, device type, or pages visited. Partitioning data is a database management technique for dividing large tables into smaller, more manageable parts, which is not directly about audience behavior analysis. Sampling data involves analyzing a subset of the data to infer insights about the whole, which can be useful but doesn't offer the same detailed breakdown of audience groups as segmentation.