A practical guide to audience development strategy for purpose-driven organisations
Most organisations focus on publishing content. Fewer focus on building the audience that makes that content worth publishing. That gap –between content output and audience growth – is where most digital communications efforts quietly fail.
Audience development is the discipline of deliberately growing, engaging, and retaining the people you want to reach. Done well, it turns a website into a destination, a newsletter into a community, and social media from a broadcast channel into a genuine network. Done poorly, or ignored, your best content disappears into the void regardless of how good it is.
What Is Audience Development?
Audience development is the strategic process of identifying who you want to reach, understanding where they spend their attention online, and systematically building your presence and relationships in those spaces.
It is not the same as content production, and it is not the same as social media management. Those are tools. Audience development is the system that decides how those tools are used, for whom, and to what end.
At its core, it requires you to answer three questions before you produce a single piece of content:
- Who, specifically, is your audience? Not a demographic bracket – the actual person: their job, their daily frustrations, their digital habits, the things they read before bed.
- What do they need from you? Not what you want to say, but what they are actively searching for, sharing, and returning to read again.
- Where are they reachable? Which platforms and communities do they inhabit – and in what frame of mind when they’re there?
Get those three questions right and the content strategy largely writes itself. Get them wrong and you are producing content for an audience that doesn’t exist.
The Most Common Audience Development Mistakes
Digital content is a complex and ever-changing field, and it is difficult to keep up with evolving online tastes and behaviours. But stepping back, several fundamental drivers of engagement are too easily forgotten under the pressures of content production – and which, in my experience, create blindspots for many organisations, including some of the world’s largest digital publishers.
1. Failing to put the audience first.
Users want to get things done. They are intolerant of organisations that frame content around what they want to say rather than what the audience needs to know. If you want to build an audience, the audience’s needs come first – no exceptions.
2. Underestimating the noise.
The web rewards impatience. Users will not wait for you to get to the point. You have seconds to make a first impression strong enough to stop someone from scrolling past.
3. Writing, not structuring.
People do not read online – they scan. They make snap decisions about whether a page is worth their time based on headlines, subheadings, bold text, and visual cues. To capture their attention, you need ‘hooks’. Content that doesn’t account for this loses most of its potential readers in the first paragraph.
4. Ignoring digital body language.
Users are instinctively sensitive to signals of trustworthiness. They scrutinise layout, tone, and design for signs that you understand them – or don’t. Relatability is critical and determines whether people stay or leave.
5. Producing for desktop, publishing for mobile.
Most content is produced on desktops. Most of it is consumed on phones. That gap creates a long list of problems – formatting that breaks on small screens, images that don’t load cleanly, text that hasn’t been edited with scrolling thumbs in mind.
6. Treating visuals as decoration.
Visual content is not the icing on the cake – it is the cake. Images, video, and infographics are often what users see before they read a word. Building visual-first thinking into your workflow from the start, rather than bolting it on at the end, is one of the biggest performance differentials between high-engagement and low-engagement teams.
7. Not trusting your own instincts.
Here is a useful test: think about the last ten pieces of digital content you genuinely engaged with. What made them work? Chances are you already know what good looks like – you do it every day as a consumer of content. The challenge is reverse-engineering those instincts into your professional practice.
How to Get to Know Your Audience
The single most useful exercise we ran at the World Economic Forum was also the simplest. We gathered all the available audience data – Google Analytics, Facebook Insights, YouTube Studio – and built a composite profile of a typical user. Based on the most common attributes across platforms, she was under 25, university-educated, involved in voluntary activities, and lived in Pakistan.
That profile surprised a lot of people on the team. And of course, users matching that exact description were a tiny fraction of the total audience. But it proved an incredibly powerful device for focusing content decisions and packaging. When you’re debating a headline or a format, asking “would our user find this useful?” cuts through a lot of noise.
Organisations that outperform online are curious about their audiences. They understand that digital success comes from aligning their goals with audience needs – and that drives a genuine interest in what makes their audience tick.
There are three main lenses for understanding your audience:
Demographics: Standard measurable attributes: age, gender, location, income, education. Most platforms provide this as standard.
Psychographics: Interests, attitudes, values, and lifestyles. Harder to establish and less standardised, but often more useful for content decisions. Behavioural signals on social platforms provide a proxy for this, though they are imperfect.
Behavioural data: How people actually use your content: which pages they return to, which posts generate the most engagement, who your most loyal users are and what they have in common. This is often the most actionable of the three.
A word of caution on platform data: Google Analytics underreports usage due to ad-blockers (estimates suggest up to half of users have these). Social platform demographic data is more reliable – Facebook collects it directly from account setup. But psychographic classifications are far from perfect. Pew Research found that more than a quarter of users felt Facebook’s interest categories did not accurately represent them.
Many teams supplement platform data with direct research: online surveys, user interviews, reader feedback. The key challenge with surveys is avoiding sampling bias – only hearing from your most engaged fans, or asking questions that invite the answers you want rather than honest responses. The most effective teams treat audience research as a continuous practice, not a one-time project, combining data sources and constantly testing their assumptions.
How to Align Your Content to Your Audience’s Needs
Once you know who you’re trying to reach, four questions should drive every content decision:
- Usefulness: Where is the sweet spot between what your organisation knows and what your audience actually needs to know?
- Convenience: Which formats and platforms would make your content easiest to find and consume?
- Emotional connection: How do you package content so it resonates – not just informs?
- Regularity: How much content do you need to keep the audience engaged over time?
Finding the right answers is a process of structured trial and error. But there are several tactics that have consistently worked for the World Economic Forum and Runcible’s clients:
Produce more of what’s working. This sounds obvious, yet many teams do not close this feedback loop. Which topics, formats, and platforms are generating the most engagement? Do more of those and less of everything else. For smaller audiences, casual inspection is enough. For larger ones, use the reporting functions in tools like Buzzsumo or Sprout Social.
Follow the search data. For almost all sites, search is the majority supplier of visitors – yet it receives less attention than more visible channels like social media. Google Search Console shows you what queries are bringing people to your site. Commercial tools like Semrush and Ahrefs show you what queries are driving traffic to comparable organisations. Understanding what your audience is already searching for is one of the most reliable guides to what content to create.
Consider audience segmentation carefully. Your audience is not homogenous, and a one-size-fits-all content strategy will only take you so far. At the Forum, we needed accessible, shareable content to grow a broad public audience – but also specialist content to engage influential policy communities. Those are different audiences with different needs, requiring different content and different tactics. Segmentation unlocks precision, but it increases complexity and cost. Be strategic about which segments to prioritise before investing in differentiated content. Try to reverse engineer what a target user on Instagram might need as opposed to what works on LinkedIn.
Think about packaging from the start, not the end. Headlines, visual elements, and social posts are often treated as afterthoughts. They shouldn’t be. If content is hard to find or hard to share, the question of whether it is worth producing at all becomes real. Findability and shareability need to be part of the brief, not the final step.
Use UTM codes and conversion tracking. If you want to know which channels and campaigns are actually driving meaningful action, not just visits, you need to help your analytics platform identify the source. UTM codes on email links and social posts make this possible. Setting up conversion goals in Google Analytics tells you whether specific campaigns are achieving what you want them to.
How to Build a Data-Driven Audience Development Culture
The biggest gains in audience development don’t come from a single brilliant piece of content. They come from building a team culture that consistently learns, tests, and improves. The best mental model I have found for this comes not from digital media but from elite sport.
The Moneyball principle. The 2003 book by Michael Lewis traced how the Oakland Athletics baseball team outperformed wealthier rivals by ignoring conventional wisdom and investing heavily in data analysis – finding undervalued players that traditional scouting missed. For purpose-driven organisations with limited resources, the implication is clear: systematic analysis of what works can more than compensate for smaller budgets.
Formula 1 and marginal gains. Elite racing teams have optimised every element of their workflow – including pit stop choreography – in the relentless pursuit of small advantages. The accumulation of marginal gains applies directly to content teams. Small, consistent improvements to headlines, formats, publishing times, and packaging compound significantly over time.
Clive Woodward and professional culture. The England rugby coach who won the 2003 World Cup drew heavily on business practice – giving players laptops and video analysis tools so they could drive their own improvement rather than waiting for top-down feedback. The principle translates: the teams with the best audience development results are the ones where everyone, not just the analytics specialist, feels responsible for understanding and responding to audience data.
In practice, building this culture requires three things:
Regular content reviews. Digital media generates enormous amounts of data. Most organisations routinely ignore it. Building a rhythm of regular review – weekly or fortnightly – where the team looks at what is performing and why, and adjusts accordingly, is one of the most powerful habits a content team can develop.
Competitor monitoring. Not every team has the resources to be an early adopter of every new platform or format. But watching what works for comparable organisations, and being a fast follower when something proves itself, is a realistic and effective strategy.
Protected time for experimentation. Results-oriented teams have a strong pull towards doing what already works. Audience development requires resisting that pull enough to test new approaches. Without explicit time and permission to experiment, this almost never happens.
How Runcible Helps
Runcible works with purpose-driven organisations to develop and execute audience development strategies that are grounded in your specific goals, audiences, and resources.
That means helping you:
- Map your target audience’s digital behaviour and identify where the real engagement opportunities are
- Build a content strategy grounded in what your audience is actively searching for – not just what you want to say
- Design a sustainable production workflow your team can actually maintain
- Set up the measurement systems that track meaningful growth, not vanity metrics
- Train your team to apply these principles independently – and to keep improving over time
Clients include the UN Global Compact, the UN Development Programme, the International Labour Organization, the NCD Alliance, and Reliance Foundation.