By Solveig Helga Account & Project Director at Wrapped Agency
Your audience is constantly sharing information about what they need, what they care about and what stands in the way of a decision.
They may not be completing your surveys or sending you detailed feedback. They might never contact your business directly. But they are still asking questions, comparing options, discussing frustrations, reading reviews and searching for answers.
The challenge is knowing where to look — and how to turn what you find into something meaningful.
At Wrapped, audience research is an important part of how we approach brand, digital and campaign projects. Before deciding what a business should say, where it should appear or what it should create, we look for evidence of what its audience is already saying and doing.
That could mean examining online conversations through social listening, analysing search behaviour, reviewing how people use AI tools and large language models, or identifying patterns across website data, customer enquiries and reviews.
Together, these signals can provide a much clearer picture of what your audience actually needs — even when they are not speaking directly to you.
Listening is not limited to direct feedback
When businesses think about audience research, they often think of interviews, focus groups and surveys.
These can all be extremely valuable. They allow you to ask specific questions and explore people’s motivations in depth.
But they are only one part of the picture.
Audiences also reveal information through their behaviour. They show you what matters through:
- the questions they search for
- the language they use online
- the topics they repeatedly discuss
- the content they engage with
- the complaints they make
- the comparisons they draw
- the points at which they leave a website
- the information they seek before making a decision
These behaviours can sometimes reveal more than a direct question.
People may say they want one thing, but their search behaviour, browsing patterns or conversations may suggest something different. That does not necessarily mean they are being dishonest. It often means that people are not always fully conscious of what influences their decisions.
By combining what people say with what they do, you can build a more complete and reliable understanding of your audience.
Social listening: understanding the wider conversation
Social listening is the process of analysing online conversations to understand what people are talking about, where those conversations are happening, when they are taking place and how people feel about the subject.
It goes beyond counting brand mentions.
A good social listening exercise can help you understand:
- which topics appear most frequently
- the words and phrases people naturally use
- which platforms or communities conversations take place on
- whether sentiment is broadly positive, negative or neutral
- what causes changes in conversation volume
- which questions or frustrations repeatedly appear
- which competitors, products or services are mentioned together
- what audiences believe about a category
For example, a healthcare organisation may discover that people are not primarily discussing the treatment itself. Instead, they may be talking about waiting times, uncertainty, the emotional impact of seeking help or confusion about what happens next.
A professional services business may find that customers rarely use its preferred industry terminology. They may describe their problem in much simpler or more practical language.
These findings can influence much more than social media content. They can shape positioning, campaign messaging, website structure, service communications and customer support.
Social listening helps businesses understand the conversation they are entering rather than assuming they are starting it.
Search behaviour reveals what people really want to know
Search engines provide another valuable source of audience insight.
Every keyword or phrase represents a question, need, concern or intention.
Looking at search behaviour can reveal:
- how people describe their problem
- what they know already
- what they are confused about
- which features or benefits they prioritise
- how close they are to making a decision
- what objections they need to overcome
- which alternatives they are considering
There is an important difference between searching for:
- “What is an autism assessment?”
- “How long does an autism assessment take?”
- “Private autism assessment cost”
- “Book an autism assessment near me”
Each search indicates a different level of awareness and a different stage in the decision-making journey.
The first person may be learning about the subject. The final person may be ready to take action.
Understanding this helps businesses create content for the full customer journey rather than focusing only on people who are ready to buy.
It can also highlight gaps. If large numbers of people are asking questions that your website does not answer, there is an opportunity to create clearer, more useful content.
Search research should therefore influence more than SEO. It can shape your messaging, website navigation, FAQs, campaign themes and even the way services are packaged.
LLMs are changing how people ask questions
People are increasingly using large language models and AI assistants to research products, explore problems and compare options.
Rather than entering a short phrase into a search engine, someone may ask:
- “What should I look for when choosing a private assessment provider?”
- “Compare these three services and explain which one might suit my needs.”
- “What questions should I ask an agency before commissioning a website?”
- “Help me understand the difference between these two financial products.”
These interactions are often more conversational, detailed and contextual than traditional searches.
They reflect not only what a person wants to find, but how they are thinking through the decision.
This shift has several implications for businesses.
Audiences are asking more complex questions
People can now describe their situation in detail and expect a tailored response.
That means businesses need content that answers real questions thoroughly rather than relying only on short, keyword-led pages.
Clear information is becoming more important
AI tools draw on information that is available online. Businesses with clear, consistent and authoritative content are better placed to be understood and represented accurately.
Trust and credibility matter
When an AI assistant summarises several possible providers, it may consider signals such as expertise, clarity, reputation, external references and consistency.
This reinforces the need for useful content, strong positioning and credible proof.
Search behaviour is becoming less visible
Businesses cannot always see the exact questions being asked within AI tools in the same way they can review traditional search query data.
That makes it even more important to understand broader audience needs through research, customer conversations, social listening and existing search behaviour.
The objective should not be to chase every new platform. It should be to make sure your business provides clear, valuable and trustworthy information wherever people are looking for answers.
Your own website contains valuable audience signals
Your website can tell you a great deal about what audiences need.
Analytics can show:
- which pages people visit most often
- how they arrive on the site
- where they leave
- which calls to action they use
- which content supports conversion
- which devices they use
- how journeys differ between audiences
Other tools can provide additional detail.
Heatmaps and session recordings may show users missing important information, struggling with navigation or repeatedly returning to a particular section.
Internal site-search data can reveal exactly what visitors expect to find but cannot access easily.
Form abandonment can highlight questions that feel difficult, intrusive or unclear.
These behaviours should be treated as feedback.
A high exit rate does not automatically explain what is wrong, but it tells you where further investigation may be needed.
Website data becomes most useful when it is combined with qualitative research. Analytics may show that people are leaving a page. Interviews or usability testing can help explain why.
Customer-facing teams hear what research reports often miss
Sales, account management, customer service and operational teams speak to customers every day.
They hear recurring questions, concerns and objections that may never appear in a formal report.
Useful insight can come from reviewing:
- sales call notes
- customer-service enquiries
- live-chat transcripts
- email questions
- complaints
- reasons for lost opportunities
- onboarding conversations
- renewal discussions
- feedback from frontline teams
If customers repeatedly ask the same question, that may indicate a gap in your website or marketing.
If sales teams regularly have to explain the same point, the proposition may not be clear enough.
If prospects consistently hesitate because of one concern, campaigns may need to address it earlier.
This is valuable first-party insight that many businesses already possess but do not systematically analyse.
Reviews show both expectations and experiences
Reviews are another rich source of audience language and sentiment.
They can reveal:
- what customers expected before purchasing
- what they valued most
- what disappointed them
- which aspects of the experience they mention spontaneously
- how they compare you with alternatives
- what influenced trust
Positive reviews can identify strengths that the business may be undercommunicating.
Negative reviews can uncover recurring friction points.
Competitor reviews are useful too. They can show what customers appreciate or dislike across the wider market, helping you identify common expectations and opportunities to differentiate.
The goal is not to react to every individual comment. It is to look for meaningful patterns.
Online communities can expose unfiltered concerns
People are often more open in independent forums, online groups and communities than they are when speaking directly to a business.
They may discuss:
- concerns they would feel uncomfortable raising with a provider
- doubts about products or services
- experiences with competitors
- myths and misconceptions
- the language they use with peers
- barriers that prevent them from acting
These conversations need to be approached carefully and ethically. Research should respect privacy and focus on publicly available, aggregated themes rather than identifying individuals.
Used responsibly, community research can help businesses understand the emotional and social context surrounding a decision.
This is particularly important in sensitive or high-involvement sectors, where decisions may be shaped by fear, trust, stigma or uncertainty as much as by product features.
Competitor behaviour offers context — not answers
Competitor analysis can help you understand how a market communicates with its audience.
It may reveal:
- topics everyone is discussing
- claims that have become generic
- common customer journeys
- gaps in content
- crowded channels
- opportunities to communicate differently
But competitor activity should not be mistaken for proof.
A competitor may be doing something because it works. They may also be doing it because someone internally liked the idea.
You usually cannot see their strategy, budget, performance or internal objectives.
Competitor research is therefore most useful when combined with audience evidence. It helps you understand what the market is saying, while audience research helps you decide what customers actually need.
What people are not doing can be informative too
Audience insight is not limited to active behaviours.
Silence, absence and avoidance can also tell you something.
For example:
- People may not engage with a service because they do not understand it.
- They may not complete a form because the next step feels unclear.
- They may not search using your preferred terminology because they do not know it.
- They may not discuss a sensitive topic publicly.
- They may not respond to a campaign because it does not reflect their priorities.
A lack of engagement does not necessarily mean a lack of interest.
It may indicate confusion, uncertainty, mistrust or a mismatch between your language and theirs.
This is why audience research should not rely on a single data source. Every method has limitations.
Social listening may underrepresent people who do not post publicly. Search data may not explain why someone asked a question. Analytics may show behaviour without revealing motivation.
Combining different sources helps compensate for those gaps.
From signals to meaningful insight
Collecting information is not the same as understanding it.
A long list of search terms, social mentions and analytics figures is data. It becomes insight only when you identify what it means and how it should influence a decision.
A useful process is to move through four stages.
1. Gather
Bring together relevant sources, such as social conversations, search behaviour, website data, reviews, customer enquiries and interviews.
2. Identify patterns
Look for themes that appear repeatedly across multiple sources.
One isolated comment may not be significant. The same concern appearing in search data, reviews and sales calls probably deserves attention.
3. Interpret
Ask what those patterns mean for the audience and the business.
Are people confused? Are they looking for reassurance? Is the proposition unclear? Is there an unmet need? Are they using different language from the business?
4. Act
Translate the findings into practical decisions.
That could mean:
- changing the messaging
- restructuring the website
- creating educational content
- addressing common objections
- improving a service journey
- prioritising a particular audience
- changing channel investment
- testing a new proposition
Research has little value if it simply produces an interesting presentation.
The goal is not just to listen. It is to make better decisions.
Avoid treating every signal as a fact
Being research-led does not mean accepting every piece of data at face value.
Online conversations can be distorted by vocal minorities. Search volume does not always equal commercial opportunity. Reviews may overrepresent extremely positive or negative experiences. Website data can be affected by technical issues or poor tracking.
Audience insight requires judgement.
Questions to ask include:
- Is this pattern repeated across different sources?
- Is the sample broad enough?
- Could the data be biased?
- Is the behaviour recent?
- Does it relate to the audience we are trying to reach?
- What other evidence would help us validate it?
The aim is not to remove uncertainty completely. It is to make decisions based on stronger evidence rather than assumption.
Listen before you speak
Many businesses begin marketing projects by deciding what they want to say.
A better starting point is understanding what the audience needs to hear.
Your audience may not be speaking directly to you, but they are leaving signals everywhere: in search engines, social conversations, AI-assisted research, reviews, analytics, enquiries and customer behaviour.
The organisations that listen carefully can create more relevant messaging, more useful content and better customer experiences.
They can also avoid spending time and budget solving the wrong problem.
Because effective marketing does not begin with broadcasting a message.
It begins with paying attention.
Turning audience signals into strategy
At Wrapped, we use a combination of audience research, social listening, search analysis, market intelligence and digital data to understand what people are saying, searching for and doing.
These findings help us identify the real audience need before developing brand strategies, websites, campaigns or content.
The result is work grounded in evidence — shaped around how people actually think and behave, rather than what we assume they want.
