MKTG2001 · Digital and Social Media Marketing
Social Listening & Voice of the Customer
Week 5 is the method behind the individual Voice-of-Customer Analysis (A1): social listening, user-generated content and netnography (Kozinets) as a way to hear what customers actually say. You learn the seven-step netnographic process, the Melancon & Dalakas segmentation profiles used to categorise social voices, the six dimensions of perceived value, and visual storytelling with brand archetypes and the Hero's Journey. This chapter is the most directly assessed of the term.
What this chapter covers
- 01Voice of the Customer (VoC) — capturing everything customers say and packaging it into a brand perspective; the expectation-experience gap
- 02Netnography (Kozinets) — ethnography adapted to online communities; the seven practical steps; the core method of A1
- 03Good vs bad netnography — triangulating and interpreting cultural codes vs cherry-picking and over-generalising
- 04Melancon & Dalakas segmentation profiles — the help seeker, the social activist, the unsolicited advisor (plus your own)
- 05Perceived-value theory (Whittaker et al.) — Functional, Epistemic, Emotional, Social, Image, Price/Quality
- 06The VoC segmentation method (collect → categorise → develop opportunities) — the A1 deliverable
- 07Visual storytelling — brand archetypes (the Archetype Wheel) and the Hero's Journey with the consumer as hero, brand as mentor
- 08Copyright and UGC reuse — ask permission before reposting; Creative Commons and attribution
A netnographic mini-analysis for the Voice-of-Customer task
- +1Recall the profiles: help seeker (asks for assistance/information), social activist (praises or challenges on values/ethics), unsolicited advisor (offers unrequested product advice).
- +1Comment (1) is a help seeker — a direct request for product information (vegan option).
- +1Comment (2) is a social activist — endorsing the brand on a sustainability value (recyclable packaging).
- +1Comment (3) is an unsolicited advisor — volunteering a product-development suggestion (loyalty app) the brand did not ask for.
- +1Derive an opportunity (VoC insight → action). The mix signals latent demand for a values-led, service-rich experience: publish clear vegan/allergen info (serves help seekers), amplify the sustainability story (rewards activists), and scope a loyalty app (tests the advisor's idea). Prioritise the sustainability narrative, which already has earned advocacy.
Key terms
- Voice of the Customer (VoC)
- A research approach that captures what customers say about a brand or product and packages it into an overall perspective, revealing the gap between expectations and experience.
- Netnography
- Kozinets' adaptation of ethnography to online communities: systematically listening to and interpreting public user-generated content to understand customers' views and culture.
- Melancon & Dalakas profiles
- A segmentation of social voices — the help seeker, the social activist and the unsolicited advisor (plus additional categories) — used to classify VoC data in the analysis task.
- Perceived value (six dimensions)
- Whittaker et al.'s value types — Functional, Epistemic, Emotional, Social, Image and Price/Quality — for classifying why customers value an offering.
- Brand archetype
- A recurring character a brand embodies (Hero, Sage, Everyman and others) on the Archetype Wheel, used to give visual storytelling a consistent identity and motivation.
- Hero's Journey
- A narrative structure in which the consumer is the hero and the brand archetype is the mentor guiding them through the buyer's journey.
Social Listening & Voice of the Customer FAQ
What exactly does the Voice-of-Customer task want me to do?
At its core: collect real user-generated content about two brands, categorise the voices using the Melancon & Dalakas profiles (and any additional categories you justify), and translate the patterns into marketing opportunities. It is a netnographic analysis, so the marks reward evidenced interpretation of genuine social conversation, not opinion. Confirm the current brief and word limit on Canvas.
What separates good netnography from bad?
Good netnography triangulates across many posts, interprets cultural codes and links findings to decisions; bad netnography cherry-picks convenient quotes, takes posts at face value and over-generalises from a handful of comments. A high-scoring analysis shows a spread of evidence and reasons from patterns, not single posts.
Can I repost the customer content I analyse?
Copyright attaches to user content at creation, so for any reuse (as opposed to analysis) you should ask permission before reposting, even when a brand hashtag was used, and prefer Creative Commons or attribution-only material. For the analysis itself, treat public content ethically and de-identify where appropriate — check the brief on Canvas.
Can AI help me with the netnography task?
Yes — Sia can explain the seven-step process, test whether your categorisation is evidenced or cherry-picked, and help you turn a set of voices into a prioritised opportunity. It coaches the method and checks your reasoning; it will not do the graded analysis for you, and University of Newcastle integrity rules apply.
Exam move
Because this week IS the individual Voice-of-Customer task, start collecting real user-generated content for your two brands as soon as the method is introduced, and keep a running spreadsheet of comments tagged by Melancon & Dalakas profile. Practise the collect → categorise → develop-opportunities loop on small batches so the full analysis is assembly, not a scramble. Guard against the classic failure — cherry-picking — by always basing a claim on a spread of posts and interpreting the pattern. Note copyright and de-identification rules for any content you reuse. Confirm the brief and word limit on Canvas, and ask Sia to critique whether your categorisation is genuinely evidenced.
Working through Social Listening & Voice of the Customer in MKTG2001? Sia is AskSia’s AI Business & Marketing tutor — ask any MKTG2001 Social Listening & Voice of the Customer question and get a clear, step-by-step explanation grounded in how MKTG2001 is taught and assessed. Read this chapter free, then take your hardest questions to Sia.
