University of Technology Sydney · FACULTY OF MARKETING

24761 Chap.7 Marketing Insights and Thematic Analysis

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Chapter 7 of 11 · 24761

Marketing Insights and Thematic Analysis

What makes an insight

Week 5 defines a marketing insight as an actionable discovery about consumers or markets drawn from several data sources. Data says what is happening; an insight explains why and leads to a decision.

The lecture separates customer, brand, market and competitive insights, each with its own core question, techniques and measures.

Thematic analysis step by step

Thematic analysis finds recurring patterns of meaning in text such as reviews and interview transcripts.

The chapter follows Braun and Clarke’s six phases, from familiarisation and coding to naming themes and writing them up, and explains the choice between deductive and inductive coding and between semantic and latent reading.

Techniques that sit alongside

A worked example codes eight language-app reviews into three themes and one insight, and the chapter places sentiment analysis, social listening, competitor analysis and the certainty research from the readings beside that method.

The same coding skills return in the second report, where you check themes an AI tool proposes. Two practice items rehearse turning findings into insights.

In this chapter

What this chapter covers

  • 01

    Findings versus marketing insights

  • 02

    Customer, brand, market and competitive insights

  • 03

    Braun and Clarke’s six phases of thematic analysis

  • 04

    Deductive versus inductive and semantic versus latent coding

  • 05

    Sentiment analysis, social listening and competitor analysis

  • 06

    Certainty and emotion in consumer language

Worked example · free

Read the codes and themes from language app reviews

Q [4 marks]. An AskSia revision item: the weighting here is ours and is not an official University weighting. Eight language app reviews have been coded into six codes and three themes: streaks cut both ways (guilt reminders, broken streak, social motivation), screen-only learning (vocab, not speaking; robotic feedback) and renewal trust (post-trial price). For each theme, say whether the name reflects a semantic or a latent reading, and state which theme deserves the most weight and why.
Codes and themes from eight language app reviews.Codes and themes from eight language app reviews. Each box on the left is a code with the number of reviews it covers, and each arrow shows which theme on the right absorbs it, so three codes about streaks and friends combine into one theme while a single pricing code stands alone.CodesThemesGuilt reminders (1)Broken streak (2)Social motivation (1)Vocab, not speaking (2)Robotic feedback (1)Post-trial price (1)Streaks cut both waysScreen-only learningRenewal trust
Codes and themes from eight language app reviews. Each box on the left is a code with the number of reviews it covers, and each arrow shows which theme on the right absorbs it, so three codes about streaks and friends combine into one theme while a single pricing code stands alone.
  • 1Streaks cut both ways is latent: it joins a positive code and two negative codes through the shared idea that motivation depends on keeping a run alive.
  • 1Screen-only learning is also latent: it links vocabulary gains, freezing with real speakers and robotic drills to an unmet need for real conversation practice.
  • 1Renewal trust is close to semantic: it restates one review’s complaint about a price rise after the trial.
  • 1Streaks cut both ways deserves most weight: it covers four of eight reviews and explains why habitual learners lapse, while renewal trust rests on one review and needs other sources first.
Two latent themes and one near-semantic theme; the streak theme carries the most weight because it is the most widespread and explains the lapse, while the pricing theme needs corroboration.
Sia tip — Weigh a theme by how many separate texts support it and whether another source repeats it, not by how vivid its best quote is.
Glossary

Key terms

Customer Insight
Understanding of buyers’ behaviour, needs, motivations and pain points that explains why they choose as they do.
Brand Insight
Knowledge of how people see and feel about a brand, covering its image, positioning and awareness.
Social Listening
Tracking online mentions of a brand, its rivals and its category to learn what people say and feel.
Inductive Coding
Letting codes and themes emerge bottom-up from the text itself instead of from a framework chosen in advance.
Latent Theme
Pattern of meaning read beneath the surface of what people wrote, capturing the assumptions that link separate comments.
FAQ

Marketing Insights and Thematic Analysis FAQ

What is the difference between a finding and a marketing insight?

A finding reports what the evidence shows, such as how many reviews mention a feature. An insight explains why that matters for customers or the brand and points to a problem, an opportunity or a decision. The Week 5 lecture frames it as answering why and so what, not only what.

What are the six steps of thematic analysis?

Following Braun and Clarke (2006): become familiar with the data, generate initial codes, search for themes, review them against the data, define and name each theme, and write the report with supporting quotes. The process is recursive, so reviewing often sends you back to recode or to merge and split themes.

Should I use deductive or inductive coding?

Use deductive coding when a theory or a set question should guide what you look for, which keeps the analysis focused. Use inductive coding when you want themes to come from the data and are open to surprises. State your choice in the method section so a reader can judge the themes you report.

What is the difference between semantic and latent themes?

A semantic theme stays with what people explicitly said and describes it clearly. A latent theme interprets the ideas and assumptions underneath, often joining comments that look unrelated on the surface. Latent work is deeper but needs more justification, so support it with several quotes.

Is sentiment analysis enough to understand customer reviews?

Usually not. Labelling text positive, negative or neutral misses why people feel as they do, and research in the readings shows that how certain people sound can predict outcomes ordinary sentiment scores miss. Combine sentiment counts with thematic coding so the numbers and the meaning support each other.

Study strategy

Assessment move

Gather ten to fifteen public reviews or comments about a brand in any industry other than your assigned one and run all six phases on them, keeping a short codebook with a definition and an example for every code. Then rewrite each theme as a finding and as an insight, so the difference becomes automatic.

Practise one deductive pass using the four insight types as your frame and one inductive pass, and compare what each reveals. Last, write one sentence linking your strongest theme to a decision a manager could test. Keep the codebook as a template for later tasks. Review your notes weekly.

Working through Marketing Insights and Thematic Analysis in 24761? Sia is AskSia’s AI Marketing tutor — ask any 24761 Marketing Insights and Thematic Analysis question and get a clear, step-by-step explanation grounded in how 24761 is taught and assessed. Read this chapter free, then take your hardest questions to Sia.

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