Audiences, Search Intent, and Customer Journeys

Introduction

Search engine optimisation is not simply the practice of placing keywords on web pages. Effective search marketing begins with understanding people: what they need, what language they use, what stage of decision-making they have reached, and what experience will help them progress. A person searching “what is email marketing” has a different need from someone searching “Mailchimp pricing” or “email marketing agency near me.” Treating these queries as equivalent leads to poor rankings, weak user experiences, and inefficient marketing investment.

This chapter presents a practical framework for classifying search intent and connecting it to audiences, personas, customer journeys, funnel stages, content formats, and landing pages. It also considers local and multimodal search, where users combine text with location, images, voice, video, maps, or visual search. The objective is not to assign every query to a single rigid category, but to make an informed interpretation of the dominant need behind a search.

Learning Objectives

By the end of this chapter, you should be able to:

• define audience, persona, search query, search intent, and customer journey;
• distinguish informational, navigational, commercial, transactional, local, and multimodal intent;
• map queries to awareness, consideration, conversion, and retention stages;
• design suitable content and landing-page experiences for different intents;
• use search results and audience evidence to validate intent classifications;
• recognise limitations, ethical issues, and changes caused by AI-assisted search.

1. Audiences and Search Behaviour

An audience is a group of people who share a relevant problem, need, characteristic, or relationship with an organisation. A target audience might be “small-business owners seeking affordable accounting software.” A persona is a simplified, evidence-informed representation of a significant audience segment. For example, “Nadia,” a freelance designer concerned about tax compliance and monthly cost, may represent one segment of that market.

Personas should not be fictional stereotypes. They should be based on sources such as customer interviews, analytics, search-query data, customer-service records, sales conversations, surveys, and market research. Useful persona attributes include:

• goals and desired outcomes;
• problems, barriers, and anxieties;
• knowledge level and vocabulary;
• device and channel preferences;
• geographic and situational context;
• decision criteria and stakeholders;
• likely questions at each journey stage.

A search query is the text, phrase, voice command, image-based request, or other input submitted to a search system. Search intent is the underlying purpose of that search. The same keyword may express different intentions depending on context. For instance, “apple watch” could mean a general request for information, a desire to reach Apple’s website, a comparison of models, or an intention to buy.

Search marketers therefore interpret queries probabilistically rather than mechanically. They examine language, modifiers, search results, device context, location, seasonality, and the user’s relationship with the brand.

2. The Main Categories of Search Intent

The categories below are analytical tools. They often overlap, and a query may move from one category to another as the user’s need develops.

2.1 Informational intent

Informational searches seek knowledge, explanation, instructions, or problem-solving assistance. Examples include:

• “how to improve website speed”;
• “what is technical SEO”;
• “best time to post on social media”;
• “symptoms of a leaking tap.”

The user may not yet be ready to choose a supplier. Suitable experiences include explanatory articles, glossaries, tutorials, videos, checklists, research summaries, and introductory guides. Pages should answer the central question clearly before presenting a commercial offer.

A common mistake is directing an early-stage informational search to a product page containing little educational value. Another is producing a long article that answers the question only after several paragraphs of promotion. Relevance and clarity should lead; conversion elements should be proportionate to the user’s stage.

2.2 Navigational intent

Navigational searches aim to reach a particular website, page, platform, or organisation. Examples include “Google Analytics login,” “BBC sport,” and “University of Leeds library.” Branded searches may also include a specific product or department.

The appropriate experience is usually a trustworthy, easily identifiable destination. Site architecture, internal links, brand visibility, structured data where appropriate, and accurate titles support navigational users. Search marketers should monitor navigational queries because they reveal brand awareness and possible problems: a user searching “company name complaints” may require a transparent help or support experience, not merely a homepage.

2.3 Commercial investigation intent

Commercial investigation occurs when users are evaluating alternatives but have not necessarily decided to purchase. Typical modifiers include “best,” “review,” “comparison,” “top,” “alternative,” and “versus.” Examples include “best project management software for small teams” and “HubSpot vs Salesforce.”

Useful pages include comparison guides, independent reviews, feature matrices, demonstrations, buying guides, case studies, and total-cost explanations. Claims should be specific and supportable. A comparison page that hides limitations or presents competitors unfairly may achieve short-term clicks but damage trust and create legal or reputational risk.

2.4 Transactional intent

Transactional searches indicate an intention to complete an action, usually purchasing, booking, subscribing, downloading, or requesting a quotation. Examples include “buy noise-cancelling headphones,” “book dentist appointment,” and “Adobe Creative Cloud student plan.”

The landing page should reduce friction. It should present the relevant offer, price or pricing logic, availability, delivery or fulfilment information, clear calls to action, security and trust signals, and concise answers to objections. Navigation should not distract from the primary task. Transactional intent does not guarantee conversion: users may still compare prices, encounter barriers, or abandon because of uncertainty.

2.5 Local intent

Local intent combines a need with a geographic place or expectation of nearby service. Explicit examples include “plumber in Bristol” and “coffee shop near me.” Implicit local intent may occur when a user searches for “pharmacy,” particularly on a mobile device with location enabled.

Local experiences should provide accurate business details, opening hours, service areas, directions, booking options, accessibility information, and locally relevant proof. Business listings and location pages must reflect reality. Publishing false addresses, creating duplicate location pages, or using virtual offices to manipulate visibility can mislead users and breach platform guidelines.

2.6 Multimodal intent

Multimodal search uses more than text or combines modalities such as voice, images, maps, video, and text. A person may photograph a plant to identify it, use voice search to ask for a nearby repair service, watch a video tutorial, or use a visual shopping tool to find a similar jacket.

Multimodal intent is defined by both the problem and the mode of interaction. A visual search for a product may be commercial, while an image of a rash may be informational but medically sensitive. Suitable optimisation includes descriptive text, accessible image alternatives, useful video titles and transcripts, structured product data, map accuracy, and fast mobile experiences. Search visibility must never be treated as a reason to make unsupported medical, safety, or identification claims.

3. Search Intent and the Customer Journey

A customer journey describes the stages through which a person moves from recognising a need to forming a relationship with an organisation. It is not always linear. Users may return to research, consult other people, change providers, or begin at a highly specific transactional query.

A useful simplified model contains four stages:

1. Awareness: the person recognises a problem, opportunity, or need.
2. Consideration: the person investigates approaches and compares alternatives.
3. Conversion: the person takes a desired action, such as purchasing or booking.
4. Retention and advocacy: the customer uses the product, seeks support, renews, recommends, or leaves feedback.

Search intent often changes across these stages. “How to reduce energy bills” may indicate awareness; “best insulation for an old house” suggests consideration; “buy loft insulation 100 mm” is transactional; and “how to install [brand] insulation” may occur after purchase.

The funnel is useful for planning, but it should not be interpreted as a universal sequence. Some customers enter through a brand-specific search, while others convert after one urgent local query. A journey map should therefore include alternative paths, interruptions, and post-purchase needs.

Query-to-journey mapping

A practical mapping process is as follows:

1. Collect query evidence. Use search-console data, keyword tools, site search, customer language, competitor results, and qualitative research.
2. Identify the job to be done. Ask what the user is trying to accomplish, not merely what words were typed.
3. Classify dominant intent. Record primary and secondary intent where overlap exists.
4. Assign journey stage. Consider knowledge, urgency, commitment, and relationship with the organisation.
5. Define the desired next step. This may be reading, comparing, contacting, booking, purchasing, or obtaining support.
6. Select the experience. Match format, depth, proof, calls to action, and friction level to the need.
7. Validate and improve. Compare the proposed page with current search results, behavioural data, and user feedback.

A query map can be represented as a working table:

4. Landing-Page Experience Design

Intent classification becomes valuable only when it changes what the organisation publishes and how it presents it. A landing page should satisfy the dominant task quickly, while offering appropriate routes to related needs.

Informational pages

An informational page should provide a direct answer, logical headings, examples, credible evidence, and accessible presentation. It may include a soft call to action such as subscribing, downloading a checklist, or exploring a related service. The page should distinguish established evidence from opinion and disclose commercial interests.

Commercial pages

Commercial pages should support evaluation. They can include decision criteria, transparent comparisons, testimonials, demonstrations, implementation requirements, and limitations. A comparison table should define the criteria and avoid implying that a product is objectively best for every user.

Transactional pages

Transactional pages should make the offer and action obvious. Important elements may include product specifications, price, delivery, returns, availability, payment options, privacy information, and support. Forms should request only information necessary for the task. Mobile users need tap-friendly controls and an efficient checkout process.

Local pages

Local pages should be genuinely useful rather than location-swapped copies. Include the actual address or service area, local staff or facilities where relevant, opening times, transport and accessibility information, service availability, and a clear contact method. Consistency between the website and business listings is essential.

Supporting all page types

Good experiences share several principles:

• satisfy the main need early;
• use language that reflects audience vocabulary;
• make the source, author, date, and evidence appropriate to the topic;
• provide descriptive titles and headings;
• support accessibility through readable contrast, keyboard access, captions, transcripts, and meaningful alternative text;
• avoid intrusive pop-ups and deceptive calls to action;
• maintain fast, secure, mobile-friendly delivery;
• measure quality beyond clicks, including completion, satisfaction, qualified enquiries, and retention.

5. Using Search Results as Evidence

Search engine results pages provide clues about interpreted intent. If the results for a query are dominated by definitions and guides, the dominant intent is probably informational. If they show product pages, shopping results, prices, and retailers, transactional intent is more likely. Map packs and local directories suggest local intent; video results may indicate that demonstration is important.

This method is useful but imperfect. Results vary by location, device, history, language, time, and search engine. Search engines may also test different result types. Marketers should inspect several results and ask:

• What content formats recur?
• What questions do titles and snippets answer?
• Are results primarily brands, publishers, retailers, or local businesses?
• What trust signals appear necessary?
• Does the search imply urgency or high risk?
• What does the user still need after clicking?

The goal is not to copy competitors. It is to understand the task that the search system appears to recognise and then produce a more useful, accurate, and distinctive response.

6. Worked Application: A Local Sustainable-Fashion Retailer

The following is an illustrative case. “Harbour Thread” is a fictional independent retailer with a physical shop and an online store selling repaired and responsibly sourced clothing.

Background and problem

Harbour Thread receives strong traffic for general sustainability articles but few online purchases and an inconsistent number of shop visits. The owner assumes that more visits will solve the problem. An audit shows that the site attracts people at different stages but sends many of them to the same generic homepage.

Analysis

Query and customer evidence reveal several segments:

• environmentally concerned beginners ask “how to buy sustainable clothes”;
• experienced shoppers search “organic cotton vs recycled polyester”;
• local customers search “vintage clothing shop near me”;
• high-intent users search “women’s recycled wool coat size 12”;
• existing customers search “Harbour Thread opening hours” and “how to repair wool jumper.”

These queries represent informational, commercial, local, transactional, and navigational intent. They should not share one landing-page experience.

Approach and solution

Harbour Thread creates an educational guide for beginners, a transparent materials comparison for evaluators, product pages with measurements and stock information for transactional users, and a verified location page with opening hours and directions. It also publishes short repair videos with captions and transcripts. Internal links connect the guide to the comparison page and then to relevant products, but the links are presented as useful next steps rather than forced sales messages.

The retailer improves product photography, adds descriptive alternative text, explains its returns policy, and uses structured product information where appropriate. It does not claim that every item is “ethical”; instead, it identifies the available evidence and explains limitations in its supply chain.

Outcome

After an evaluation period, the retailer observes more relevant journeys: educational visitors engage with guides, local visitors use directions and call information, and product visitors reach stock and sizing details more efficiently. The important improvement is not simply increased traffic. It is closer alignment between query, expectation, page, and next action.

Learning points

• One domain can serve several intents without using one generic page for all users.
• Search intent should guide information architecture and internal linking.
• Local and transactional pages require factual operational information.
• Ethical claims must be specific, evidenced, and carefully qualified.
• Success should be assessed through useful actions and customer outcomes, not rankings alone.

7. Measurement and Interpretation

Measurement should reflect the purpose of each journey stage. Informational content may be assessed through engaged reading, return visits, assisted conversions, subscriptions, or successful onward navigation. Transactional pages may be assessed through completed purchases, qualified leads, booking completion, revenue, cancellation rates, and customer satisfaction. Local pages may be assessed through calls, direction requests, bookings, and visits, while respecting privacy and measurement limitations.

A simple conversion rate can be expressed as:

Here, a conversion is a defined desired action and a relevant visit is the chosen denominator, such as landing-page sessions. The metric is meaningful only when the conversion definition and denominator are consistent. A high rate based on a tiny or poorly qualified audience does not necessarily indicate success. Different pages should not be compared without considering intent, traffic source, device, seasonality, and business value.

Attribution also requires caution. A customer may read an article, return through a branded search, visit a store, and later purchase. Last-click reporting may credit only the final interaction. Search marketers should combine quantitative data with customer feedback and journey analysis rather than treating one metric as a complete explanation.

8. Ethics, Privacy, and Governance

Audience targeting can improve relevance, but it can also become intrusive or discriminatory. Organisations should collect and use personal data lawfully, transparently, and proportionately. Location-based experiences should not expose sensitive information or imply knowledge that the user did not knowingly provide. Personalisation should not exploit vulnerability, particularly in health, finance, employment, housing, or children’s services.

Search content must not manipulate users through hidden text, misleading titles, fake urgency, fabricated reviews, doorway pages, or deceptive redirects. Accessibility is both an ethical responsibility and a practical way to serve people using assistive technologies or constrained devices. Claims, testimonials, prices, availability, and qualifications should be accurate and current.

AI tools can assist with clustering queries, summarising feedback, generating content outlines, and identifying patterns. However, AI-generated classifications may reproduce bias, misunderstand ambiguous intent, or produce unsupported claims. Human review, source checking, privacy controls, and clear accountability remain necessary. Automated content should be edited for accuracy, originality, accessibility, and audience usefulness.

9. Contemporary Developments and Limitations

Search is increasingly integrated with maps, shopping systems, voice assistants, video platforms, social discovery, and generative answer interfaces. Users may receive an answer without visiting a website, creating tension between visibility and traffic. Brands therefore need to make their information accurate and understandable across systems while offering distinctive value that cannot be reduced to a short generated summary.

Intent categories also have limitations. They simplify complex motivations, overlook group decision-making, and may misclassify urgent searches. A user searching “best laptop” could be casually researching or preparing to buy within minutes. Search results are not a perfect window into thought. Interviews, usability testing, customer-service evidence, and observed behaviour help validate assumptions.

The best practice is to treat intent mapping as a revisable hypothesis. Document the evidence, identify uncertainty, test page experiences, and update the map as products, audiences, search systems, and social conditions change.

Chapter Summary

Search marketing begins with audience understanding rather than isolated keywords. Personas describe meaningful audience segments, while search intent explains the purpose behind a query. Informational, navigational, commercial, transactional, local, and multimodal intents provide a practical classification system, although real searches may combine categories.

Intent changes across customer journeys. Awareness commonly involves learning, consideration involves comparison, conversion involves action, and retention involves support and continued use. These stages are not strictly linear. Query mapping connects evidence about language and behaviour to personas, journey stages, page formats, calls to action, and measurement plans.

Effective landing pages satisfy the dominant task, provide appropriate evidence, reduce unnecessary friction, and respect accessibility, privacy, and truthfulness. Search-result analysis, analytics, qualitative research, and testing should be used together. AI can support analysis but does not remove the need for human judgement and governance.

Key Terms

Audience: A group sharing a relevant need, characteristic, or relationship with an organisation.

Persona: An evidence-informed representation of an important audience segment.

Search query: An input submitted to a search system.

Search intent: The underlying purpose or task behind a search.

Informational intent: Intent to learn, understand, or solve a problem.

Navigational intent: Intent to reach a particular website, page, or organisation.

Commercial investigation: Intent to evaluate products, services, or alternatives.

Transactional intent: Intent to complete an action such as purchase, booking, or subscription.

Local intent: Intent involving a place, service area, or nearby provider.

Multimodal search: Search involving combined text, voice, image, video, map, or other modes.

Customer journey: The changing sequence of needs and interactions before, during, and after a customer action.

Funnel stage: A planning description of awareness, consideration, conversion, or retention.

Landing page: The page reached after a user selects a search result or other link.

Search result page: The interface displaying results for a query.

Call to action: A prompt encouraging a specific next step.

Search intent mapping: The process of connecting queries to needs, stages, content, and actions.

Local SEO: Optimisation supporting discovery of geographically relevant organisations and services.

Accessibility: Designing information and interactions for people with diverse abilities and technologies.

Attribution: The assignment of credit for an outcome to one or more interactions.

Review Questions

5 Short Answer Questions

1. What is the difference between a search query and search intent?
2. Give two examples of informational intent and two examples of transactional intent.
3. Why should personas be based on evidence rather than stereotypes?
4. Identify two features that are important on a local landing page.
5. Why is the customer journey not always linear?

5 Long Answer Questions

1. Explain the six major categories of search intent and give an appropriate landing-page experience for each.
2. Describe a systematic process for mapping search queries to personas and customer-journey stages.
3. Compare commercial investigation pages with transactional pages in terms of content, evidence, and calls to action.
4. Discuss how accessibility, privacy, and truthfulness affect search-marketing practice.
5. Explain why search-result analysis should be combined with analytics and qualitative research.

3 Analytical / Application Questions

1. A user searches “best accounting software for freelancers,” then “Brand Y pricing,” and finally “Brand Y sign in.” Classify each query, assign a likely journey stage, and recommend a page experience.
2. Design an intent map for a local dental clinic serving adults and children. Include at least six queries, their intent categories, suitable landing pages, and desired next actions.
3. A retailer receives substantial traffic from “how to choose running shoes” but few sales. Analyse possible intent and experience mismatches, then propose content, internal links, measurement, and ethical safeguards.

Multiple Choice Questions with Answers

Question 1

Which query most clearly expresses informational intent?

A. Buy waterproof hiking boots

B. What is technical SEO?

C. Brand X login

D. Dentist near me

Correct Answer: B. What is technical SEO?

Question 2

A search for “best project management software for small teams” is primarily which type of intent?

A. Navigational

B. Local

C. Commercial investigation

D. Post-purchase support

Correct Answer: C. Commercial investigation

Question 3

Which landing page is most appropriate for a transactional query?

A. A product page with price, availability, and a clear purchase action

B. A general dictionary definition

C. An unrelated company history page

D. A page containing only a brand logo

Correct Answer: A. A product page with price, availability, and a clear purchase action

Question 4

What is the main purpose of a persona?

A. To guarantee a ranking position

B. To represent an important audience segment using evidence

C. To replace all customer research

D. To identify a website’s technical errors

Correct Answer: B. To represent an important audience segment using evidence

Question 5

Which query most clearly indicates local intent?

A. How does insulation work?

B. Organic cotton versus recycled polyester

C. University library login

D. Coffee shop near me

Correct Answer: D. Coffee shop near me

Question 6

What does a search-result-page audit help marketers understand?

A. The user’s exact private thoughts

B. The dominant content formats and needs associated with a query

C. A guaranteed future conversion rate

D. The legal identity of every searcher

Correct Answer: B. The dominant content formats and needs associated with a query

Question 7

Which feature is especially important for a local business landing page?

A. Accurate opening hours and directions

B. A hidden address

C. Unverified claims about competitors

D. A page duplicated for every town

Correct Answer: A. Accurate opening hours and directions

Question 8

Why should AI-generated intent classifications receive human review?

A. AI cannot process any text

B. AI outputs may misunderstand ambiguity or reproduce bias

C. Search engines prohibit all human editing

D. Human review always increases rankings

Correct Answer: B. AI outputs may misunderstand ambiguity or reproduce bias

Question 9

Using the formula in the chapter, 40 conversions from 800 relevant visits gives what conversion rate?

A. 2%

B. 5%

C. 20%

D. 40%

Correct Answer: B. 5%

Question 10

A query for “how to repair Brand X wool jumper” most plausibly represents which combination?

A. Navigational and retention/support intent

B. Only local intent

C. Only commercial investigation

D. Purely transactional intent

Correct Answer: A. Navigational and retention/support intent