Digital Marketing Audiences: Stop Targeting Who You Know

Digital marketing audience strategy is the discipline of defining, building, and sequencing the groups of people your marketing needs to reach, not just the ones already looking for you. Most teams get this wrong in the same direction: they over-invest in audiences already close to conversion and under-invest in the audiences that will drive future growth.

The result is a marketing programme that looks efficient on paper but is slowly shrinking its own addressable market.

Why Most Audience Strategies Are Too Narrow

Spend long enough managing large media budgets and a pattern becomes hard to ignore. The accounts that look healthiest in monthly reports are often the ones most at risk strategically. Strong click-through rates, tidy cost-per-acquisition numbers, high return on ad spend. But pull back the lens and ask where the next customer comes from, and the answer is usually: the same place as the last one.

When I was running agency teams across performance channels, I spent years optimising towards the audiences most likely to convert. It worked, in the narrow sense that the numbers held up. What I came to understand later, and what I now think is one of the most important shifts a senior marketer can make, is that a significant portion of that performance was not created by the advertising. It was captured. The person was already going to buy. We just happened to be in front of them at the moment they decided.

Think about how a good clothing retailer operates in-store. Someone who picks something up and tries it on is far more likely to buy than someone who browses the rail. The act of trying it on does not just signal intent, it often creates it. But none of that happens if the person never walked into the shop. You need footfall before you can convert it. Digital audiences work exactly the same way, and most strategies are optimised entirely for the try-on moment while neglecting the question of how to get more people through the door.

This is not an argument against performance marketing. It is an argument for understanding what performance marketing actually does, and being honest about what it does not do. Audience strategy that only targets people already in-market is not a growth strategy. It is a harvesting strategy.

If you want to think more broadly about how audience strategy fits into commercial growth planning, the Go-To-Market and Growth Strategy hub covers the wider framework for how marketing connects to business outcomes.

What Does a Proper Audience Framework Actually Look Like?

A functional audience framework has three layers, and most organisations only operate in one of them.

The first layer is your in-market audience. These are people actively looking for what you sell. They are searching, comparing, reading reviews. They have high intent and relatively short decision windows. This is where most digital budgets are concentrated, and it is the layer that attribution models are best at measuring. The problem is that this audience is finite, contested, and often expensive. You are competing with every other brand in your category for the same pool of people.

The second layer is your category audience. These are people who have a need that your product or service could solve, but they are not actively looking yet. They might not know your brand. They might not even know a solution like yours exists. This is where brand awareness and consideration investment lives, and it is the layer that most performance-first organisations systematically underfund. BCG’s work on commercial transformation identifies this gap between short-term demand capture and longer-term demand creation as one of the most consistent sources of growth leakage in mature businesses.

The third layer is your future audience. These are people who do not yet have the need, but will. New life stages, new business challenges, new budget cycles. This layer is the hardest to justify in a quarterly planning conversation, but it is also where the most durable competitive advantage lives. Brands that systematically invest in future audiences are harder to dislodge when those audiences eventually enter the market.

Most digital audience strategies operate almost entirely in layer one. Some reach into layer two. Almost none invest seriously in layer three. The result is a business that is highly efficient at converting existing demand and structurally incapable of growing it.

How Should You Actually Segment Digital Audiences?

Segmentation is one of those concepts that attracts a lot of activity and produces relatively little value. I have sat in planning sessions where teams have built audience matrices with dozens of segments, cross-referenced by demographic, psychographic, behavioural, and contextual variables. The output looks impressive. The practical implication for media buying or creative development is often minimal.

The test for any segment is simple: does this distinction change what we say, where we say it, or how much we are willing to spend? If the answer is no, the segment does not need to exist as a separate planning unit. You are adding complexity without adding value.

Segments that tend to pass this test include distinctions based on purchase stage, since someone who has never heard of your brand needs a fundamentally different message than someone who visited your pricing page last week. They include distinctions based on customer value, since a segment that drives 60% of your revenue probably warrants different investment decisions than one that drives 8%. And they include distinctions based on channel behaviour, since audiences that respond to short-form video are not the same audiences that read long-form editorial, even if they overlap demographically.

Segments that tend to fail this test include most demographic breakdowns applied generically, interest-based categories that platform algorithms invent and revise constantly, and lookalike audiences built from conversion data without questioning whether the source list represents the customers you want more of or just the customers you happened to acquire.

I managed a client account in financial services where the team had built a sophisticated lookalike audience from their existing customer base. The performance was strong by the numbers. When we dug into the customer value data, we found the lookalike was replicating their lowest-value segment. They were efficiently acquiring the wrong customers at scale. The segmentation was technically sound and commercially counterproductive.

What Is the Right Relationship Between First-Party and Platform Audiences?

The deprecation of third-party cookies and the tightening of platform data policies have shifted the balance of power in digital audience targeting. Brands with strong first-party data are in a structurally better position than brands that relied entirely on platform-provided audiences. This is not new information, but the practical implications are still not fully absorbed by most marketing teams.

First-party audiences, built from your own CRM, website behaviour, email engagement, and purchase history, have several advantages over platform audiences. You own them. They are based on actual behaviour with your brand rather than inferred interests. They tend to be more stable over time. And they can be used across multiple platforms rather than being locked to one ecosystem.

The limitation is scale. First-party audiences are typically smaller than what platforms can offer, which is why the relationship between the two matters. The most effective approach is to use first-party data to anchor your audience strategy and platform data to extend it intelligently. Your CRM suppression lists prevent wasted spend. Your high-value customer segments inform which platform audiences are worth testing. Your engagement data tells you which content is pulling which types of people into your orbit.

What does not work is treating platform audience targeting as a black box and hoping the algorithm figures it out. Platforms are optimising for the outcomes you tell them to optimise for. If you tell them to optimise for conversions without thinking carefully about which conversions, from which customers, at what value, you will get what you asked for rather than what you needed.

Tools like Hotjar’s behavioural analytics can help you understand how different audience segments actually interact with your site, which gives you better signal for both first-party audience building and platform targeting decisions. Behavioural data on-site is often more honest than declared interests off-site.

How Does Audience Strategy Change Across the Funnel?

One of the most persistent mistakes in digital marketing is applying the same creative and messaging logic to audiences at different stages of the funnel. Cold audiences and warm audiences are not the same people in different moods. They have different information, different levels of trust, and different decision-making contexts. Treating them identically is a creative failure as much as a strategic one.

For cold audiences, the primary job is relevance and recognition. You are not asking for a conversion. You are asking for attention and, eventually, memory. The creative needs to communicate something meaningful about who you are and what you stand for without assuming any prior knowledge. This is harder than it sounds, particularly for brands that have spent years talking to warm audiences and have forgotten how to introduce themselves.

For mid-funnel audiences, the job shifts to differentiation and consideration. These are people who know the category and are evaluating options. Your message needs to articulate why you specifically, not just why this type of product or service. This is where comparison content, proof points, and specific value propositions earn their place.

For lower-funnel audiences, the job is conversion facilitation. Remove friction. Reinforce the decision they are already leaning towards. Make the next step obvious. This is the layer where most digital budgets are concentrated, and it is the layer where the marginal return on additional spend tends to diminish fastest. Once someone is ready to buy, more advertising does not make them more ready. It just costs more.

The practical implication is that audience strategy and creative strategy are inseparable. You cannot build an effective audience framework without also thinking about what you will say to each segment and why that message is different. Audience segmentation that does not connect to a differentiated creative brief is just a targeting exercise, and targeting without the right message is expensive noise.

This is especially relevant when working with creator-led content. Later’s work on creator-led go-to-market campaigns illustrates how different creator audiences require different content approaches, even when the underlying product is identical. The audience shapes the message, not the other way around.

What Role Does Attribution Play in Audience Strategy?

Attribution is where audience strategy and commercial honesty collide. The way you measure the performance of different audiences determines which audiences get investment, which get cut, and which never get tested at all. If your attribution model systematically favours lower-funnel audiences, which most last-click and short-window models do, you will consistently underfund the audiences that drive future growth and over-credit the audiences that convert existing demand.

I have run the numbers on this in enough accounts to have a clear view. When you move from last-click to data-driven attribution, the budget allocation almost always shifts up the funnel. When you run incrementality tests on remarketing campaigns, the true incremental lift is almost always lower than the attributed conversion volume suggests. The gap between attributed performance and actual incremental performance is one of the most significant sources of misallocated budget in digital marketing.

This does not mean remarketing is worthless. It means the value of remarketing is consistently overstated by the measurement frameworks most teams use. And if remarketing is overstated, something else is understated. That something else is almost always upper-funnel audience investment.

BCG’s research on financial services go-to-market strategy makes a similar point in a different context: organisations that optimise purely for near-term conversion signals tend to systematically underinvest in the relationship-building that drives long-term customer value. The measurement tail wags the strategy dog.

The practical response is not to abandon attribution, but to hold it more lightly. Treat your attribution data as a useful approximation rather than a precise account of what caused what. Run incrementality tests on your highest-spend audience segments. Question whether the audiences that look most efficient in your dashboard are actually driving growth or just sitting in the path of it.

How Should Audience Strategy Evolve as a Business Grows?

Audience strategy is not a one-time exercise. The audiences that matter most to a business at £2 million in revenue are not the same audiences that matter at £20 million, and the audiences that drove growth in year three are not necessarily the audiences that will drive growth in year seven.

Early-stage businesses typically need to go narrow and deep. Find the audience most likely to derive genuine value from what you offer, reach them with precision, and learn as much as possible from their behaviour. This is not the time for broad brand awareness campaigns. It is the time to find your core audience, understand what makes them respond, and build the first-party data foundation that will inform everything that comes later.

As a business scales, the constraint shifts. The core audience becomes saturated. The cost to reach additional people within that segment rises. Growth requires expanding into adjacent audiences, which means accepting lower short-term efficiency in exchange for longer-term market development. This is the transition point where many performance-first organisations stall. They have built their entire capability around a narrow audience and their measurement, creative, and media infrastructure is not set up to reach anyone else.

When I helped grow an agency from around 20 people to over 100, one of the clearest patterns I observed across client accounts was that the businesses growing fastest were the ones willing to invest in audiences before those audiences were ready to buy. They were building brand familiarity with people who would not convert for six or twelve months. The businesses that struggled were the ones chasing efficiency in a shrinking addressable pool. Both groups had performance dashboards that looked fine. Only one group was actually growing.

Growth hacking approaches, as covered in Semrush’s analysis of growth hacking examples, often illustrate this tension well. The tactics that drive rapid early growth frequently rely on a concentrated, highly receptive audience. Scaling beyond that initial audience requires a different strategic approach entirely.

There is more on the strategic frameworks that connect audience development to commercial growth in the Go-To-Market and Growth Strategy hub, including how to think about market expansion and the sequencing of growth investments.

What Are the Most Common Audience Strategy Mistakes?

The first and most common mistake is conflating audience size with audience quality. Reaching more people is not inherently valuable. Reaching the right people with the right message at the right moment is. I have seen campaigns with enormous reach numbers and negligible business impact, and campaigns with relatively modest reach that drove disproportionate commercial returns. Size is a means, not an end.

The second mistake is building audience strategy entirely from existing customer data without questioning whether your existing customers represent the full opportunity. If your acquisition has been skewed by your historical marketing, your lookalike audiences will replicate that skew. The customers you have are a function of the marketing you have done. They are not a neutral picture of who could value your product.

The third mistake is treating audience strategy as a media planning function rather than a business strategy function. Who you need to reach is a business question before it is a targeting question. It should be informed by commercial objectives, competitive positioning, and growth strategy, not just by what the platform’s audience manager makes available. The platforms are not neutral. They will show you targeting options designed to encourage spend, not necessarily to drive business outcomes.

The fourth mistake is failing to connect audience strategy to message strategy. I touched on this earlier, but it bears repeating because it is so consistently overlooked. An audience segment without a differentiated message is just a list. The value of segmentation comes from the ability to communicate differently, and that requires creative and content investment that most organisations underestimate.

The fifth mistake, and perhaps the one with the longest-term consequences, is optimising audience strategy for this quarter’s numbers rather than next year’s market position. The audiences that will drive your growth in two years are probably not the audiences converting today. If you are not investing in reaching them now, you will not have them then. That is not a performance problem. It is a strategic one.

Sectors with complex buying journeys, like healthcare, illustrate this particularly clearly. Forrester’s analysis of healthcare go-to-market challenges highlights how organisations that focus narrowly on immediate conversion audiences consistently struggle with pipeline development and long-term market share growth. The same dynamic plays out across B2B categories and any consumer market with a considered purchase cycle.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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