Unit 6: AI and digital marketing

MKT201 — Principles Of Marketing 10 min read

I. Orientation

Digital marketing is the use of internet-connected technologies, digital channels, and customer data to create, communicate, deliver, and exchange value. It developed from basic business websites and email campaigns into an integrated system involving search engines, social platforms, mobile applications, automated advertising, analytics, and artificial intelligence (AI).

Defining characteristics:

Digital exchange: Marketing messages, transactions, and feedback move through online channels such as websites, search engines, applications, email, and social networks.
Customer orientation: Activities begin with customer needs, search behaviour, preferences, and interactions rather than only with the product.
Measurability: Marketers can track impressions, clicks, conversions, cost per acquisition (CPA), engagement, and return on advertising spend (ROAS).
Interactivity: Customers can respond, review, share, compare, purchase, or contact a company immediately.
Personalisation: Data allows messages, offers, and recommendations to be adapted to different customer segments or individuals.
Marketing mix connection: Digital tools influence product, price, place, and promotion, commonly called the 4Ps.
Ethical responsibility: Consent, privacy, transparency, data security, accessibility, and avoidance of discriminatory targeting are necessary for responsible practice.

II. Understanding digital marketing — The connected marketing system

A. Understanding digital marketing

Understanding digital marketing requires viewing it as a customer journey in which awareness, consideration, purchase, retention, and advocacy are linked by digital touchpoints. Its purpose is to achieve marketing objectives while producing useful value for customers.

Core channels: A company’s website, search engines, email, social media, display advertising, mobile applications, and online marketplaces perform different communication and selling functions.
Owned, paid, and earned media: Owned media includes a company website or email list; paid media includes search advertisements; earned media includes customer reviews, shares, and unpaid publicity.
Customer journey: A person may discover a brand through a search result, compare reviews on social media, click a paid advertisement, purchase through an application, and later receive an email offer.
Performance indicators: Impressions measure exposure, click-through rate (CTR) measures clicks relative to impressions, and conversion rate measures desired actions relative to visitors.
Integration principle: A campaign is stronger when its search, content, social, email, and advertising messages support the same positioning and objective.
Data foundation: Web analytics, customer relationship management systems, cookies, application events, and transaction records provide evidence for decisions, subject to privacy rules and consent.

III. Search engine optimization — Earning organic visibility

Search engine optimization (SEO) is the process of improving a website so that search engines can understand, index, and rank its pages for relevant unpaid queries. It aims to attract qualified visitors without paying for every click.

A. Search engine optimization

SEO combines technical quality, useful content, and authority. Search engines generally evaluate whether a page is relevant, accessible, trustworthy, and helpful for the searcher’s intent.

Search intent: A query such as “best running shoes for beginners” shows comparison intent, while “buy running shoes online” shows stronger purchase intent; content should match that purpose.
Keyword relevance: Keywords should appear naturally in the title, headings, body text, URL, and descriptive metadata, but excessive repetition can reduce quality.
Technical accessibility: Mobile responsiveness, crawlable links, readable page structure, secure HTTPS, and fast loading help both users and search-engine crawlers.
Content quality: A page answering “how to choose running shoes” should explain fit, cushioning, use, and limitations rather than merely repeat the phrase “running shoes.”
Authority signals: Relevant backlinks, expert authorship, positive reputation, and citations can support credibility; paid or manipulative links may violate search-engine guidelines.
Measurement: Marketers monitor organic impressions, rankings, clicks, organic conversion rate, and engagement through tools such as search-console and web-analytics platforms.
Limitation: SEO usually requires time and continuing updates because competitors, user behaviour, and search-engine algorithms change.

IV. Pay per click — Buying targeted visits

Pay per click (PPC) is an advertising model in which an advertiser is charged when a user clicks an advertisement. Search PPC places ads near results for selected queries, while display and social PPC may target users by interests, demographics, behaviour, or context.

A. Pay per click

PPC provides rapid, controllable traffic, but its value depends on targeting, creative quality, landing-page relevance, and conversion economics.

Auction mechanism: Advertisers bid for opportunities to show ads; actual placement commonly depends on bid, expected ad quality, relevance, and competition rather than bid alone.
Cost calculation: If a campaign spends $500 and receives 1,000 clicks, average cost per click (CPC) is:

TEXT

CPC = Total spend / Number of clicks
CPC = $500 / 1,000 = $0.50

Symbols: CPC is cost per click; total spend is advertising expenditure.

Conversion economics: If those clicks generate 25 sales, cost per acquisition is $20. A campaign is sustainable only when contribution profit per sale exceeds relevant acquisition cost.
Ad components: Effective advertisements align the search term, headline, description, call to action, and landing page; “waterproof hiking boots” should lead to a page featuring waterproof hiking boots.
Key measures: CTR indicates appeal, conversion rate indicates post-click effectiveness, CPA indicates acquisition efficiency, and ROAS compares revenue with advertising spend.
Advantages and risks: PPC offers speed, geographic control, budget limits, and testing; it also stops generating visits when spending stops and can produce expensive irrelevant clicks.

V. Content marketing — Creating useful reasons to return

Content marketing is the planned creation and distribution of valuable, relevant, and consistent material to attract and retain a defined audience and encourage profitable action. It supports trust and demand across the customer journey.

A. Content marketing

Content works best when it answers a real customer problem and connects naturally to a business objective rather than functioning as constant product promotion.

Content forms: Blog articles, videos, podcasts, guides, case studies, newsletters, webinars, infographics, and product demonstrations serve different learning preferences and stages.
Audience relevance: A cybersecurity firm may publish a guide on phishing prevention for awareness, then provide a technical comparison for buyers evaluating solutions.
Value proposition: Useful content explains, demonstrates, entertains, or reduces risk; a checklist for checking suspicious email links has more practical value than a vague promotional slogan.
Content funnel: Awareness content attracts broad interest, consideration content compares options, and decision content supplies evidence such as demonstrations, pricing information, or testimonials.
Distribution: Search optimisation, email subscriptions, social sharing, partnerships, and paid promotion extend content reach beyond the company’s own website.
Evaluation: Marketers examine organic traffic, average engagement time, downloads, subscribers, assisted conversions, leads, and eventual revenue rather than relying only on page views.
Limitation: Content requires research, editorial consistency, and maintenance; outdated medical, financial, legal, or technical information can damage credibility.

VI. Affiliate marketing — Performance-based partnerships

Affiliate marketing is a partnership arrangement in which an affiliate promotes a merchant’s product and receives a commission for a specified action, commonly a sale, lead, or app installation. Tracking links or codes connect the action to the affiliate.

A. Affiliate marketing

Affiliate marketing transfers part of promotion and distribution to publishers, creators, comparison sites, or specialist communities while linking payment to measurable outcomes.

Participants: The merchant supplies the offer, the affiliate supplies audience access and promotion, and an affiliate network may provide tracking, reporting, payment, and programme management.
Commission basis: A merchant may pay 8% of a completed sale, $10 for a qualified lead, or a fixed amount for an application installation; the agreed action must be defined clearly.
Tracking process: A tagged link records the affiliate source, a user visits the merchant, and a conversion is attributed according to the programme’s attribution and cookie rules.
Strength: Financial risk can be lower than paying for broad exposure because expenditure is tied to results, although commission and network fees still reduce margin.
Quality control: Merchants should screen partners, prohibit deceptive claims, monitor brand bidding, and require disclosure that a relationship is commercial.
Attribution issue: If a customer encounters a search ad, influencer link, and email before purchase, last-click attribution may credit only the final interaction and undervalue earlier contributions.
Example: A travel publisher links to a hotel booking page using a tracked code; a completed $600 booking at 5% commission produces a $30 affiliate payment.

VII. Social media marketing — Participation and community

Social media marketing uses social-network platforms to communicate with audiences, build relationships, distribute content, support customers, and stimulate action. It includes organic activity and paid social advertising.

A. Social media marketing

Social media differs from one-way advertising because users can respond publicly, create content, influence one another, and rapidly amplify both positive and negative experiences.

Platform fit: LinkedIn may suit professional decision-makers, Instagram may support visual products, and short-video platforms may support discovery among audiences who prefer brief demonstrations.
Organic activity: Posts, comments, direct messages, live sessions, stories, and community discussions strengthen familiarity and provide feedback without a direct media charge.
Paid targeting: Social platforms can target audiences using location, broad demographics, interests, behaviours, or first-party customer lists, subject to platform and privacy restrictions.
Engagement measures: Likes and comments indicate interaction, while saves, shares, qualified enquiries, purchases, sentiment, and customer-service resolution often provide stronger evidence of value.
Community management: Prompt, accurate responses to complaints can protect trust; deleting legitimate criticism without explanation may intensify reputational damage.
Influencer collaboration: A creator’s credibility and audience fit matter more than follower count alone; sponsored relationships should be clearly disclosed.
Risk management: Misleading claims, harassment, copyright violations, automated misinformation, and poorly handled crises can spread rapidly and harm the brand.

VIII. Various application of AI in modern marketing (4Ps) world — Intelligent marketing decisions

Artificial intelligence applies machine learning, natural-language processing, computer vision, recommendation systems, and generative models to marketing data and tasks. In the 4Ps world, AI can improve product decisions, pricing, distribution, and promotion, but human oversight remains necessary.

A. Various application of AI in modern marketing (4Ps) world

AI identifies patterns, predicts likely outcomes, automates routine work, and generates or personalises content across the marketing mix. Its usefulness depends on data quality, suitable objectives, and controlled deployment.

Product: Recommendation engines analyse behaviour to suggest products, while sentiment analysis groups reviews into themes such as “battery life” or “delivery quality.” Generative AI can support concept and copy development, but product claims require human verification.
Price: Demand-forecasting models estimate how sales may respond to price changes. Dynamic pricing can adjust offers according to demand, inventory, time, or customer context, but undisclosed or discriminatory pricing can undermine fairness and trust.
Place: AI forecasts demand by location, optimises inventory, predicts delivery routes, and powers chatbots or voice assistants that help customers locate products. For example, predicted regional demand can guide stock allocation before a seasonal promotion.
Promotion: Predictive models score leads, segment audiences, select channels, personalise email subject lines, and automate bidding. A model may prioritise users with a high predicted probability of conversion, but marketers must check for biased exclusion.
Content production: Generative systems can draft product descriptions, social captions, images, translations, and variations for testing. Brand guidelines, factual review, copyright checks, and disclosure policies remain essential.
Customer service: Natural-language systems classify enquiries, answer routine questions, summarise conversations, and route complex cases to staff. Escalation is required for sensitive complaints, regulated advice, or uncertain answers.
Measurement and attribution: AI can forecast customer lifetime value (CLV), detect unusual campaign activity, estimate churn, and compare likely contribution across channels; predictions are not guarantees.
Governance: Marketers should minimise collected data, obtain appropriate consent, protect personal information, document model purposes, audit outcomes, and provide human review for consequential decisions.
Human role: AI augments segmentation, analysis, and execution, while marketers retain responsibility for strategy, ethical judgment, creativity, accountability, and the final customer experience.