By Craig Parker
Digital product managers are expanding their view beyond in-app analytics to understand users through behavioural data. This broader perspective reveals intent, reduces blind spots, and helps build products that fit within real digital journeys.
Behavioural data captures what people do and why they do it across digital environments, not just within a single app or digital product. It includes searches, comparisons, and switching between apps.
Traditional analytics stop at the edge of the product. Behavioural data fills the gaps by connecting decisions made before and after each interaction. Without that context, even a well-designed feature can miss the mark.
My work sits at the intersection of data and product, focusing on how information is both created and consumed.
I think about two types of users every day:
Most product decisions do not happen in isolation. A search, a social post, or a quick chat with an AI tool can all redirect intent. Measuring only what happens inside the app misses much of the real story.
A user sees a budgeting tip on TikTok, searches for it, asks ChatGPT for a summary, and reopens a finance app they downloaded months ago.
In a traditional funnel, that looks like reactivation.
In behavioural data, it is a cross-app journey shaped by multiple triggers.
Understanding these paths helps teams build for the why, not just the what. It connects product metrics to the real moments driving behaviour.
First-party analytics show how users behave inside your product but not how they discover, compare, or decide elsewhere.
Behavioural data helps product teams:
This wider view turns analytics into a discovery tool rather than a performance dashboard.
Working with behavioural data has reshaped how I think about product craft. It has reminded me that:
Data is part of the user experience. When it is clear and meaningful, it helps others make better decisions, just like a well-designed interface does.
The best product managers focus not only on smooth flows but also on understanding context.
They ask what triggered the moment, what users are trying to achieve, and what will happen next. Product management then becomes less about features and more about orchestrating experiences across time and touchpoints.
Behavioural data gives product managers a fuller picture of how people move, decide, and engage across platforms.
When we design with context in mind, we create products that fit naturally into users’ lives, not just their screens.