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 basket email and instant engagement insights.

Understand how customers really 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 don’t follow a straight line from awareness to purchase. They search anonymously, bounce between devices and expect every touchpoint to understand their intent. Traditional metrics like impressions or click-through rates can’t keep up.

Behavioural analytics is the process of capturing, measuring and analysing customer actions — such as 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 help teams improve journeys, tailor content and increase ROI across channels.

It helps businesses:

By focusing on behaviour — not just outcomes — brands can finally bridge the gap between insight and action.

What behavioural analytics looks like in practice.

Here's how high-performing teams apply behavioural analytics in the real world:

Track what matters.

From scrolling and searching to feature usage and basket 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 checkout. Segment comparison reveals what drives or blocks action.

Find opportunities and issues automatically.

AI-powered features like anomaly detection surface patterns you might not notice — like a spike in drop-offs after a recent release or a sudden increase in revenue tied to a campaign you thought ended last week.

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 the 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 any more — we’re the strategic advisors," said their analytics leader. "That’s the exciting part."

Ecommerce: Saving $12M in missed revenue.

An ecommerce retailer used anomaly detection to identify a 73% spike in basket removals. The root cause? A tag manager bug auto-removed items from certain product categories. Fixing it resulted in a $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.

How to get 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