The gap between interest and readiness
Someone visits a car configurator. They build a vehicle. They choose the colour, the interior, the engine. They spend twenty minutes on the site. Then they leave.
Are they about to buy a car? Or are they bored on a Tuesday evening? Traditional analytics cannot tell the difference. Both visits look identical in the data. Same pages. Same time on site. Same engagement metrics. But one person is six weeks from a purchase. The other was never in the market.
This is the distinction between interest and readiness. Interest is curiosity. Readiness is intent. The entire history of marketing has been an attempt to tell them apart. Most of the time, we have failed.
Why the difference matters now
When media was cheap and attention was abundant, the cost of getting it wrong was low. Send the message to everyone in the segment. Some will convert. The waste is acceptable. This arithmetic held for decades.
It no longer holds. Digital media costs have risen steadily. Attention is scarce and fragmented. Customers have higher expectations and lower tolerance for irrelevance. Consent regulations limit who can be reached and how. The margin for error has collapsed. Brands can no longer afford to treat everyone in a segment as equally likely to act.
What behavioural signals reveal
Interest and readiness produce different behavioural patterns. Interest is broad. A person reads an article. Watches a video. Visits a site. The engagement is shallow and uncommitted. Readiness is narrow and purposeful. A person compares prices. Checks reviews. Returns to the same product multiple times. Searches for availability. These patterns are distinct, and they are visible in on-device behaviour.
Intent processes these signals on the device. The model does not look at a single action. It reads sequences. It detects acceleration. A person who visited a product page once last week and three times today is exhibiting a different trajectory than someone who visited once and never returned. The trajectory is the signal.
Cross-category behaviour adds another dimension. A person researching insurance while also comparing removal companies is likely moving house. Neither signal alone is definitive. Together, they reveal an intent that no single data source could identify.
What this means for marketing
When brands can detect readiness in real time, the marketing model changes. Media planning shifts from audience segments to intent signals. Instead of buying access to demographics, brands activate against detected readiness. The budget goes to people who are about to act, not people who resemble others who acted in the past.
Creative strategy changes too. When you know someone is ready, you do not need to persuade them. You need to help them decide. The message shifts from awareness to facilitation. Less selling. More solving.
What this means for product
Product teams have always wanted to understand what users want next. Traditional analytics shows what they did. Behavioural intelligence shows what they are about to do. This changes how products are built and how features are prioritised.
A banking app that detects a customer is researching mortgage rates can surface its own mortgage tools before the customer searches externally. A streaming service that detects declining engagement can adjust recommendations before the customer cancels. The product responds to intent, not just to actions already taken.
What this means for customer experience
The best customer experiences anticipate. A great hotel concierge does not wait for you to ask. They notice the signals: luggage tags, time of arrival, the way you scan the lobby. They act before the request is made.
Digital experiences have never been able to do this at scale. They react to explicit actions. Click. Search. Purchase. The space between actions is invisible. Behavioural intelligence makes the space between actions legible. The micro-patterns, the hesitations, the returns, the accelerations. These are the signals that reveal intent.
The age of intent
For two decades, digital business has been built on the age of attention. Capture eyeballs. Maximise time on site. Optimise for engagement. This model is exhausted. Attention is not the scarce resource. Understanding is.
The companies that will win the next decade are those that understand intent. Not what someone did. Not who they resemble. But what they are about to do, and why. That is what behavioural intelligence makes visible. The age of intent is not a marketing concept. It is a structural shift in how value is created between companies and the people they serve.