Marketing performance depends on more than finding people who resemble an existing customer. Similarity can be useful, especially when a brand is trying to expand reach or introduce itself to a broader market. However, when the goal is stronger conversion, marketers usually need a clearer understanding of what people are actively doing, researching, comparing, or preparing to purchase.
This is where intent data becomes especially valuable.
Intent data is built around behavioral signals that suggest someone may be moving toward a decision. These signals can come from website visits, search behavior, content engagement, product comparisons, downloads, category exploration, and other activity that reflects current interest. Instead of relying only on what an audience looks like on paper, intent data helps marketers understand what an audience may be considering in real time.
That distinction matters because timing plays such an important role in campaign performance. A consumer may fit the profile of an ideal customer and still have no immediate interest in taking action. Another consumer may look less obvious in a traditional audience model but may be actively researching, comparing, or returning to relevant content. The second person may represent a much stronger conversion opportunity because their behavior suggests a more immediate need.
Lookalike audiences still have a place in the media strategy conversation. They can help brands reach people who share characteristics with existing customers, which can be useful for prospecting, awareness, and audience expansion. The limitation is that lookalikes are generally built around similarity rather than present behavior. They may help marketers find people who could be interested, but they do not always reveal who is actively moving toward a decision.
Intent data adds another layer of precision by focusing on active signals.
For marketers, this changes how campaigns are planned and prioritized. Instead of organizing outreach around broad assumptions, teams can use intent signals to identify high-value audiences, shape more relevant messaging, and concentrate spend where interest appears to be forming. A person researching financing, comparing service providers, exploring a product category, or repeatedly visiting a specific page is offering a much more useful signal than demographic resemblance alone.
This is also where EARL® strengthens the value of intent-driven marketing.
EARL® helps marketers identify anonymous website visitors, interpret behavioral activity, and connect those signals to actionable audiences. Through a privacy-safe pixel and large-scale signal aggregation, the platform gives teams a more current view of who is engaging, what they are exploring, and how that behavior may inform follow-up. This allows campaigns to be built around real-time interest rather than static audience assumptions.
The practical value shows up in match quality, engagement, and conversion efficiency. When campaigns are activated against audiences that are already demonstrating intent, the message is more likely to feel relevant. That relevance can support stronger click-through rates, better lead quality, and more efficient use of media spend because the campaign is focused on people whose behavior suggests a higher likelihood of action.
Intent data also helps marketers adjust messaging based on where someone may be in the decision process. A first-time visitor exploring general category content may need a different message than someone returning to a pricing page, service offer, product listing, or appointment form. When those distinctions are visible, follow-up can become more useful and better timed.
This does not mean every campaign should abandon broader audience development. Awareness still matters. Prospecting still matters. Lookalike audiences can still help brands find new customers. The more important point is that conversion-focused campaigns benefit from behavioral evidence, especially when teams need to decide where to prioritize budget and how to personalize outreach.
The strongest media strategies often use audience similarity and intent signals for different jobs. Lookalikes can help expand the pool of potential customers. Intent data can help identify which people within or beyond that pool are showing signs of readiness. When those approaches are understood clearly, marketers can avoid treating all audiences as equally valuable at every stage of the funnel.
EARL® helps make that distinction more actionable by turning anonymous activity and online behavior into usable campaign intelligence. For marketers trying to improve conversion, the advantage is not simply having more data. It is having a clearer view of which signals suggest momentum, which audiences deserve follow-up, and which messages are most likely to align with current behavior.
Similarity can help marketers find possible customers. Intent helps marketers recognize when possible customers may be ready to act.