Lecture
Discussion
1 Introduction
⏱ 10 min
Week overview, canvas handover from Week 2, visual persuasion brief
Content
2 Theory and Application
⏱ 30 min
Cognitive fluency, dual coding, semiotics, visual hierarchy, accessibility, AI imagery, evidence standards
Practice
3 Worked Example
⏱ 15 min
Applying the evidence framework to the Villa College visual asset set
Assessment
4 Attendance and Exit Check
⏱ 5 min
QR attendance, Moodle concept check
Weeks 1–2
Foundations and Planning
→
Weeks 3–5
Content and Media
→
Weeks 6–8
Acquisition Channels
→
Weeks 9–12
Relationships and Measurement
→
Weeks 13–15
Governance and AI
We move into Weeks 3 to 5: Content and Media. Your Week 2 canvas is now your creative brief. Every visual decision this week must trace back to a canvas entry.
Lecture: nine theory and practice sections
Tutorial preview
You will build a real campaign asset in Canva:
After studying this chapter, you should be able to:
After studying this chapter, you should be able to:
All seven objectives are assessed in your Week 3 submission. Objective 7 connects directly to the evidence discipline from Week 1. Trace every image choice to a canvas entry, or label it as an assumption.
A well-designed image can establish relevance, credibility, and emotional alignment before the audience has decided whether to pay attention. A poorly chosen image can end engagement before the argument is ever encountered.
Visual response precedes verbal processing. This is a perceptual fact established by measurement rather than design opinion.
Hands up: which one would make you stop scrolling? Why?
Cognitive fluency is the subjective ease with which mental content is processed. When a stimulus is easy to process, that ease is attributed to familiarity, truth, and quality, and the attribution happens without the audience noticing it.
The table below shows where that attribution gets triggered in campaign design, element by element.
| Design element | High fluency | Low fluency |
|---|---|---|
| Contrast | High contrast text on plain background | Light grey text on white background |
| Typography | Familiar face, appropriate size, sufficient spacing | Decorative or very small face, compressed leading |
| Layout | Conventional structure for the category | All conventions violated simultaneously |
The practical balance: use familiar structures and conventions to build processing ease, then introduce one focal element of controlled novelty to earn attention, because novelty the audience struggles to process simply goes unnoticed.
The protocol:
Whatever survives one second of exposure is the de facto dominant element of the design, whatever the designer intended. Recognition happens in about 13 milliseconds (Potter et al., 2014). Your one-second memory is a generous test.
The brain processes verbal and non-verbal information through two distinct but interconnected systems. When a message activates both systems simultaneously, memory encoding is stronger and recall is more reliable than when only one system is engaged.
| Headline | Congruent image | Incongruent image |
|---|---|---|
| “Learn at your own pace” | Student working independently at a quiet table with headphones | Students in a regimented classroom with a visible clock |
| “Our guesthouse puts you at the centre of the reef” | Snorkeller underwater with coral in the foreground | Generic beach with no water activity visible |
| “Graduate with a live campaign portfolio employers can open” | Laptop screen showing a live analytics dashboard | Diploma certificate in a frame on a wall |
The visual argument test: if a viewer follows only the visual hierarchy without reading the text, do they still understand the campaign’s primary claim?
Infographics and data visualisations exploit dual coding systematically. A statistic as a number activates the verbal system only. The same statistic as a proportional visual activates both systems and produces more durable recall. Campaign teams that present evidence only in text are leaving a substantial encoding advantage unused.
The image: a wooden overwater bungalow at sunrise. Empty. Serene. No guests visible.
Left half of the room, answer as an international first-time visitor:
What does this image say to you?
Right half of the room, answer as someone who lives in Malé:
What does this image say to you?
The same pixels. Different meanings. Connotation lives in the audience’s cultural frame, and image selection must start from the audience’s perspective rather than the designer’s.
The visual system organises elements into patterns and wholes before conscious attention is applied. Gestalt principles describe the rules of that organisation.
Violations of these principles are typically experienced as visual noise rather than as creativity.
Visual hierarchy is the arrangement of elements in a layout so that the viewer’s eye moves through them in the intended sequence, achieved through contrast, scale, colour, placement, and white space.
In the absence of intentional hierarchy, audiences impose their own reading order, and that reading order may work against the campaign.
| Principle | Mechanism | Application |
|---|---|---|
| Contrast | Difference in tone, hue, or texture between elements | Place the primary call to action against a high-contrast background; ensure headline text meets WCAG AA contrast ratio |
| Scale | Larger elements are perceived as more important | Make the most important element the largest; keep the hero image and the headline at different scales so neither competes with the other |
| Colour | Hue and saturation guide attention and carry associative meaning | Use your brand palette consistently; reserve a high-saturation accent colour for the primary action only |
| Proximity | Elements grouped together share perceived meaning | Group evidence elements near the claim they support |
| White space | Empty space increases the salience of surrounded elements | Give the primary message space; a cluttered layout reduces the salience of all elements equally |
| Alignment | Elements on a shared axis are perceived as related | Align text blocks to a grid; misaligned elements signal low production quality |
Place the headline at the top left. Place the call to action at the bottom right (Z-pattern) or where the left-edge scan arrives (F-pattern). Place evidence elements along the scanning path rather than in the corners.
An inaccessible visual asset excludes a portion of the audience. In digital marketing contexts, accessibility is both an ethical requirement and a practical one, measured against WCAG 2.2, the international standard for digital content accessibility.
Minimum contrast ratios
| Text type | WCAG AA (minimum) | WCAG AAA (enhanced) |
|---|---|---|
| Normal text (below 18pt) | 4.5:1 | 7:1 |
| Large text (18pt or 14pt bold) | 3:1 | 4.5:1 |
| UI components and graphics | 3:1 | unspecified |
Free checking tools (no sign-up required): - WebAIM Contrast Checker: webaim.org/resources/contrastchecker - Coolors Contrast Checker: coolors.co/contrast-checker - Colour Contrast Analyser (desktop app, free download)
Beyond contrast: colour-blind-friendly design
Approximately 8 per cent of men and 0.5 per cent of women have some form of colour vision deficiency.
Every image used in a web page, email, or accessible document requires a text alternative.
The standard: alt text should describe what the image communicates rather than what it literally depicts.
| Image | Poor alt text | Strong alt text |
|---|---|---|
| Three guests on a Maldivian beach at sunset | “Three people at a beach” | “Three guests celebrating their first dive day at a Maldivian guesthouse, Rasdhoo” |
| Analytics dashboard showing a campaign result | “Screenshot of a graph” | “Bar chart showing 34% increase in direct bookings after the summer social campaign” |
| A student working at a laptop | “Person using a computer” | “A Villa College student completing the Week 3 visual asset task in the campus study room” |
Alt text is the image’s verbal equivalent. Where the image makes an argument, the alt text carries that argument for users who rely on screen readers.
AI image tools can produce visual concepts rapidly, but direct photographic evidence from a real context remains irreplaceable: AI carries no guarantee of accuracy for depicted settings or people, and introduces significant transparency obligations.
The core risk: AI-generated people and places presented as real customers or locations.
Every AI-generated image used in any submission must appear in the AI prompt log with the exact prompt, tool, version, and output used. Images without a log entry must be removed.
An image used in a campaign is making an implicit claim: that the product looks like this, that customers feel this way, that the environment is like this. Those claims can be evidence-based, inferred, or assumed.
The evidence framework from Week 1 applies to visual choices in exactly the same way it applies to text claims.
The standard concerns documentation rather than origin: any image type is acceptable when the choice is documented, justified, and consistent with the positioning claim. If you use stock photography, your workbook must state why it was selected and when it will be replaced with owned photography.
| Platform | Recommended size | Aspect ratio | Safe zone | Max file size |
|---|---|---|---|---|
| Facebook Feed | 1200 x 628 px | 1.91:1 | Central 80% for text | 30 MB |
| Facebook Story | 1080 x 1920 px | 9:16 | Avoid top and bottom 14% | 30 MB |
| Instagram Feed (square) | 1080 x 1080 px | 1:1 | Full frame visible | 30 MB |
| Instagram Story / Reel | 1080 x 1920 px | 9:16 | Avoid top and bottom 14% | 30 MB |
| LinkedIn Single Image | 1200 x 627 px | 1.91:1 | Central 80% for text | 5 MB |
| Google Display (leaderboard) | 728 x 90 px | 8.09:1 | Legible at display size | 150 KB |
| Google Display (rectangle) | 300 x 250 px | 1.2:1 | Legible at display size | 150 KB |
| WhatsApp Status | 1080 x 1920 px | 9:16 | Avoid top and bottom 14% | 16 MB |
Platform specifications change without notice. Always check the current official documentation before the production phase. Cite the specification source and the date you accessed it in your workbook.
Campaign context: the Villa College Certificate in Digital Marketing, positioned at the Knowledge-to-Preference transition stage. ELM route: central (the audience is evaluating options and will read the argument).
Format: Facebook / LinkedIn Feed 1200 x 628 px · body text 14pt minimum, claim 24pt+ · navy #002147 on #edf1f7 = 12.6:1 (AA pass) · dashed line marks the 10% safe zone
AI may assist with: generating abstract backgrounds and textures, producing concept sketches for team briefing, suggesting colour palette options, drafting alt text for review, and generating icon-style illustrations.
AI use is restricted for: generating photorealistic images of people or settings presented as real, replacing consented photography without disclosure, or producing visual content used without a documented prompt log entry.
| Permitted and useful | Restricted |
|---|---|
| Generate abstract background textures or colour palette options | Generate photorealistic images of Maldivian beaches, hotels, or resorts presented as real |
| Generate concept sketches for team briefing (labelled as AI concepts) | Generate a person to represent a target segment persona without clear AI disclosure |
| Ask AI to check whether a colour palette is colour-blind-friendly | Replace product or service photography with AI-generated output without legal and ethics review |
| Ask AI to draft alt text for a photograph and then review it for accuracy | Submit AI-generated imagery without a prompt log entry |
| Generate icon-style or illustrative elements for infographics | Use AI to invent platform specification data or contrast ratio calculations |
Every AI image used in any form in your submission must appear in the prompt log with: the exact prompt used, the tool and version, the output file, and your decision about what was accepted, modified, or rejected.
10 questions, unlimited attempts, 70 per cent to unlock the assignment.
The Evidence-Based Digital Marketer · Week 3 · Lecture