Intent-driven marketing: how to reach buyers when they are ready to buy

Intent-driven marketing means reaching people based on signals that they are ready to buy, such as what they search for, which pages they visit and what they download. Instead of building awareness from zero, you respond to interest that already exists, with a message that fits where the buyer is in their decision.

What is intent-driven marketing?

Intent marketing promotes a product or service based on what someone has shown they plan to buy or use. Sometimes the intent is explicit: a demo request, a pricing question or an abandoned checkout. More often it is implied by behaviour, such as reading three comparison articles in a week.

The approach works for both B2C and B2B. In B2B, the signals are often grouped by company rather than by person, because several people at one account research a purchase together. That makes intent data a natural fit for account-based marketing.

What is intent data?

Intent data is the trail of signals people leave when they research a purchase. Common sources include:

• keyword searches
• website visits and the pages viewed
• content downloads and webinar sign-ups
• email clicks and replies
• product usage during a trial
• CRM and point-of-sale history
• social media engagement

Marketers usually split intent data by who collects it:

• First-party intent data comes from your own channels: your website, emails, product and CRM. It is the most reliable, but it only covers people who already know you.
• Third-party intent data is collected by other companies across many websites and sold or licensed to you. It can show interest from accounts that have never visited your site, but it is inferred and modelled, so treat it as a signal rather than a fact.

Some vendors also describe a middle category, second-party data, shared by partners such as review sites. There is no standard definition, so ask any provider exactly where its data comes from.

How does search intent fit in?

Search is the most familiar source of intent data. The classic model comes from Andrei Broder's 2002 paper "A taxonomy of web search", which sorted queries into three types:

Comparison searches such as "best CRM for small teams" or "X vs Y" sit between learning and buying. Searchers are close to a decision and expect honest comparisons. Matching each page to the intent behind its keyword is the basis of good keyword research.

Topic and context: the two halves of intent

Intent has two parts.

Topic is what the buyer is interested in: a product, a feature or a problem. You see it in the pages they view, the content they download and the terms they search for. Tools that show heatmaps and session recordings can reveal which parts of a product or pricing page get attention, and where people drop off.

Context is why they are interested and why now. A company that just raised funding, hired a new head of sales or outgrew its spreadsheet has a reason to buy. Context is harder to see, so you often have to ask: "What made you look for a solution now?" is a strong discovery question.

Why does timing matter so much?

A signal is only useful if you act on it at the right moment. A visitor who viewed your pricing page five times this week is in a very different place from one who read a blog post six months ago.

Past purchases matter too. Someone who just bought a product is unlikely to buy the same thing again soon. The better message is about what comes next:

• After a purchase, offer onboarding help, accessories or add-ons that complete it.
• After a trial sign-up, send emails that help the user reach the first useful result.
• After a stalled deal, check what is holding the buyer back: price, timing, an alternative, uncertainty about the product or waiting for a discount.

Useful timing data includes how long buyers usually take to decide, how long they have been customers, what they bought before and their average order value. Automated drip campaigns and a clear lead nurturing strategy turn these signals into timely messages.

What intent data should you start with?

Start with the first-party data you already have and with the pages that already convert. In your analytics tool, look at:

1. where your traffic comes from (organic search, paid, referral, email)
2. which pages get the most views
3. how engaged visitors are on those pages
4. which pages lead to conversions such as sign-ups and demo requests

Once you know what drives conversions, look at the pages and products that struggle. Our guides on gaining insights from website traffic and why tracking leads matters go deeper. In B2B, you can also identify which companies visit your website and compare them with your ideal customer profile.

Combine intent with fit. A company that matches your ideal customer profile and shows strong intent is a priority. A company with strong intent but a poor fit may not be worth a sales call.

What data should you collect from buyers?

Forms and checkout pages can add context, for example:

• Is this your first purchase from us?
• How did you hear about us?
• Did someone refer you?
• What problem are you trying to solve?

Ask only what you will use. Under the GDPR, personal data must be adequate, relevant and limited to what is necessary for a specific purpose, and that purpose must be defined. Shorter forms also tend to be easier to complete. See the glossary entry on the GDPR.

Are keywords losing their relevance?

No. Keywords are one of the clearest intent signals you have, because people type exactly what they want. What has changed is how you measure them. A keyword is worth targeting when you track what visitors from it do next: whether they sign up, request a demo or buy. Without that tracking, you can't tell a valuable keyword from an empty one. Our list of keyword research tools can help you find and size them.

What are the benefits and limits of intent-driven marketing?

Benefits

• You reach buyers who are already looking, so less budget goes to people with no interest.
• Sales and marketing can prioritise accounts that show real activity.
• Messages fit the buyer's stage, which makes them more useful and less pushy.

Limits

• Signals can mislead. A competitor, student or job seeker can look like a buyer.
• Third-party data varies in quality and method, so test it before you rely on it.
• Privacy rules limit what you can collect and how you use it.

Used well, intent-driven marketing helps buyers find the right product at the right time, and helps you spend effort where it counts. For a wider view, see how to align sales and marketing.