What is behavioural analytics

Adobe for Business Team

11-10-2025

A woman at a desk with a laptop, with overlays showing marketing triggers, a personalised cart email, and instant engagement insights.

Understand how customers truly behave – and what to do about it.

Note: Adobe Analytics is no longer sold to new customers. Behavioural analytics capabilities are now available through Adobe Customer Journey Analytics, built on Adobe Experience Platform.

Why behavioural analytics matters more than ever

Today’s customers rarely follow a linear path from awareness to purchase. They search anonymously, switch between devices, and expect every touchpoint to read their intent. Traditional metrics – such as impressions or click-through rates – struggle to keep pace with this complexity.

Behavioural analytics is the process of capturing, measuring, and analysing customer actions – clicks, views, scrolls, form interactions, and other digital signals – to understand how users navigate digital experiences and why they convert, drop off, or return.

These insights enable teams to improve journeys, tailor content, and increase ROI across channels.

It helps businesses:

By focusing on behaviour – rather than outcomes alone – brands can finally close the gap between insight and action.

What behavioural analytics looks like in practice

Here’s how high-performing teams apply behavioural analytics in practice:

Track what matters

From scrolling and searching to feature usage and cart activity – every action is a signal. Adobe Analytics (and now Adobe Customer Journey Analytics) captures these signals across web, mobile apps, and in-product experiences in real time.

Group users by behaviour, not assumptions

Use drag-and-drop tools to compare cohorts – those who browse but never buy, those who engage with key features, or those who abandon at checkout. Segment comparison reveals what drives or blocks action.

Find opportunities and issues automatically

AI-powered features such as anomaly detection surface patterns that might otherwise go unnoticed – for instance, a spike in drop-offs following a recent release, or a sudden increase in revenue linked to a campaign you thought had already concluded.

Activate smarter journeys

Once you know what works, Adobe Experience Platform tools let you share behavioural segments with Adobe Journey Optimizer, Adobe Target, or Adobe Advertising – to personalise experiences, trigger timely offers, or optimise media.

Where Adobe Analytics fits in

Adobe Analytics set the standard for digital behavioural analytics, giving teams the power to turn behavioural signals into real-time action.

That legacy continues – and evolves – with Adobe Customer Journey Analytics, which brings those capabilities into a more modern, composable architecture built for scale.

Here’s what teams can do with Customer Journey Analytics:

If you’ve used Adobe Analytics, Customer Journey Analytics brings a familiar interface – with the scalability and extensibility of Adobe Experience Platform underneath.

Real-world examples of behavioural analytics in action

ServiceNow: Proving ROI with behavioural insight

Before Adobe Analytics, ServiceNow’s channels operated in silos. 'Impressions aren’t interesting,' said their marketing lead. 'What’s interesting is what users do after that.'

After adopting Adobe Advertising and integrating Adobe Analytics:

‘We’re seeing huge results,’ they shared. ‘Now we can measure everything and launch smarter campaigns.’

Home Depot: Scaling an omnichannel experience

Home Depot’s analytics team supports one of the world’s largest retail businesses – and they rely on behavioural data to connect online and in-store journeys.

With Adobe:

‘We’re not just the reporting team anymore – we’re the strategic advisors,’ said their analytics leader. ‘That’s the exciting part.’

Ecommerce: Saving USD 12M in missed revenue

An ecommerce retailer used anomaly detection to identify a 73% spike in cart removals. The root cause? A tag manager bug auto-removed items from certain product categories. Fixing it resulted in a USD 12M/day revenue lift.

Streaming: Measuring real engagement

Media brands use average minute audience tracking to go beyond views. They understand viewer retention across shows – and use that insight to optimise ad placement, episode length, and content strategy.

Experimentation: Knowing what and why

Adobe Analytics and Adobe Target work together to test experiences and understand performance across behavioural cohorts. Marketers can instantly see what changed – and why.

Want to see how this works in action? Explore how Customer Journey Analytics identifies conversion drivers and pinpoints friction points.

Getting Started with Adobe Customer Journey Analytics

Whether you’re improving conversion, retention, or content performance, Customer Journey Analytics gives you the behavioural foundation to succeed:

Most platforms tell you what happened. Customer Journey Analytics tells you what matters – and what to do next.

Explore Adobe Customer Journey Analytics to see how Adobe for Business delivers behavioural insights at enterprise scale by requesting a sandbox environment.

https://business.adobe.com/fragments/resources/cards/thank-you-collections/customer-journey-analytics