Digital, Social and Mobile Advertising

Introduction and Context

Advertising has moved from a predominantly one-to-many communication system toward a data-enabled, auction-based and increasingly interactive ecosystem. Digital advertising includes paid communication delivered through websites, search engines, applications, connected television, social platforms, online retailers and mobile devices. Its distinctive features are addressability, measurable interactions, rapid optimization and the ability to connect media exposure with commercial outcomes. These advantages do not eliminate advertising’s traditional problems. Rather, they introduce new questions about privacy, algorithmic discrimination, fraud, brand safety, attention and the validity of measurement.

For brand managers, digital advertising is not simply a collection of online formats. It is a coordinated set of decisions concerning objectives, audiences, creative assets, inventory, bidding, delivery, measurement and governance. A successful campaign therefore requires both marketing judgment and operational competence.

Learning Objectives

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

1. Distinguish paid search, display, video, social, influencer, retail-media, mobile and native advertising.
2. Explain how digital advertising auctions, targeting and ad operations work.
3. Select appropriate objectives, formats, platforms and key performance indicators.
4. Calculate and interpret basic advertising metrics such as CTR, CPC, CPM, conversion rate, CPA and ROAS.
5. Evaluate attribution methods and recognize their limitations.
6. Explain viewability, invalid traffic, brand safety, cookies and privacy-preserving advertising.
7. Design an integrated and ethically governed digital campaign.

1. The Digital Advertising Ecosystem

A digital advertising transaction usually involves five groups:

• Advertisers and agencies, which define objectives, audiences, budgets, creative assets and bids.
• Publishers and platforms, which provide user attention and advertising inventory.
• Ad servers and demand-side platforms (DSPs), which manage campaign delivery and buying.
• Supply-side platforms (SSPs) and exchanges, which help publishers sell inventory, often through programmatic auctions.
• Measurement, verification and data providers, which support reporting, fraud detection, viewability assessment, identity resolution and brand-safety controls.

An impression is an opportunity for an advertisement to be served. A served impression does not necessarily mean that a person saw or noticed the advertisement. This distinction is central: delivery, visibility, attention, engagement and business impact are different stages of effectiveness.

Digital campaigns commonly pursue one or more of four objectives:

A campaign should not judge every channel by the same immediate metric. A six-second video may be valuable for attention and recall even when it produces few clicks, while paid search may produce strong conversion because users already have intent.

2. Major Forms of Digital Advertising

2.1 Paid Search

Paid search advertisements appear in response to queries on search engines or other search environments. They are particularly useful when consumer intent is explicit. Search campaigns may target brand terms, generic category terms, competitor terms or problem-oriented queries.

Search advertising normally combines an advertiser’s bid with factors such as relevance, expected performance, landing-page experience and policy compliance. The advertiser’s highest bid alone does not guarantee the highest position. Strong relevance can improve delivery and reduce the price required to compete.

Important decisions include:

• separating branded and non-branded campaigns;
• organizing keywords into meaningful ad groups;
• using negative keywords to exclude irrelevant searches;
• matching ad claims with landing-page content;
• adapting copy to the user’s stage in the decision process; and
• protecting the brand against misleading or unauthorized use of trademarks.

Search advertising is powerful but limited by existing demand. It captures people who search; it does not automatically create broad awareness among people who have not yet entered the category.

2.2 Display Advertising

Display advertising includes banner, rich-media and other visual placements on websites and applications. It may be bought directly from a publisher, through a programmatic platform or through a private marketplace. Display is useful for reach, retargeting, contextual relevance and sequential storytelling.

Common targeting approaches include:

• Contextual targeting: matching an advertisement to page content or an inferred topic.
• First-party audience targeting: using data collected directly by the advertiser with an appropriate relationship and permission.
• Publisher audience targeting: using a publisher’s declared or inferred audience segments.
• Geographic and device targeting: selecting locations, operating systems or device categories.
• Remarketing: reaching users who previously interacted with a brand, subject to applicable consent and platform rules.

Frequency management is important. Repeated exposure can build familiarity, but excessive exposure can produce irritation, waste and negative brand associations.

2.3 Online Video and Connected Television

Video advertising may appear before, during or after content, in social feeds, on video platforms or through connected television services. Video offers sight, sound and motion, but creative quality and attention conditions vary considerably.

A video plan should define whether success means reach, completed views, attention, brand lift, website action or sales. Completion rate is informative but not identical to persuasion: a person may allow a video to finish without processing its message. Conversely, a short but highly memorable exposure may be valuable even without a full completion.

Effective practice includes communicating the brand early, designing for sound-off environments where relevant, using captions, adapting length to the placement and testing opening seconds. Connected television can provide television-like reach with digital delivery and measurement, but cross-platform deduplication remains difficult.

2.4 Social Advertising

Social advertising is paid communication distributed through social platforms, often integrated with organic content, creators, communities and platform data. Formats include feed advertisements, stories, short-form video, carousels, lead forms, shopping units and promoted posts.

Social platforms enable rapid testing of creative variants. However, optimization toward clicks or low-cost engagement can encourage content that attracts attention without advancing brand or business objectives. Engagement metrics should therefore be interpreted alongside reach quality, sentiment, brand effects and commercial outcomes.

A social campaign should establish rules for comments, escalation, misinformation, consumer complaints and crisis response. Paid media cannot be governed separately from the brand’s broader social presence.

2.5 Influencer Advertising

Influencer marketing uses individuals or communities whose perceived expertise, identity or relationship with followers affects attention and credibility. Influencers may be celebrities, professionals, specialist creators, community leaders or micro-influencers.

Selection should consider audience relevance, authenticity, content quality, historical performance, audience geography, fraud indicators and reputational risk. Disclosure is essential: audiences should be able to recognize a material commercial relationship. A creator’s personal voice may improve credibility, but the advertiser remains responsible for substantiation, prohibited claims and appropriate disclosure.

Influencer performance should not be reduced to follower count. Useful indicators include qualified reach, saves, meaningful comments, brand search, tracked visits, promotional-code use, survey-based brand lift and incremental sales. Contracts should address usage rights, exclusivity, disclosure, approval processes, cancellation and conduct standards.

2.6 Retail-Media Advertising

Retail media is advertising sold by retailers or commerce platforms using their digital properties, physical environments or transaction-related data. Examples include sponsored search results, product-listing advertisements, display placements on retailer sites, in-store screens and off-site audience extension.

Retail media is attractive because it can operate close to purchase and connect exposure with product sales. Its limitations include fragmented standards, possible conflicts between retailer and supplier interests, restricted transparency and the risk of optimizing toward attributed sales that would have occurred anyway. Brand managers should ask whether the activity creates incremental demand, protects visibility, improves conversion or merely shifts organic sales into a paid placement.

2.7 Mobile Advertising

Mobile advertising includes advertisements in mobile websites, applications, messaging environments, mobile search, social feeds and location-sensitive experiences. Mobile planning must account for small screens, variable connectivity, touch interaction, app permissions and the context of use.

Useful practices include fast-loading creative, concise copy, thumb-friendly landing pages, deep links into applications, clear permission requests and careful frequency control. Location targeting should be proportionate, transparent and legally compliant. A technically possible location signal is not automatically an ethically appropriate basis for targeting.

2.8 Native Advertising

Native advertising is designed to resemble the surrounding editorial or platform experience in form and function. It can reduce interruption and improve relevance, but similarity also creates a risk of deception. Clear labels such as “advertisement,” “sponsored” or “paid partnership” should be prominent and understandable. Native design should integrate with a medium without disguising commercial intent.

3. How Platform Auctions Work

Most digital inventory is allocated through an automated process. A simplified sequence is:

1. A user opens a page, application or platform environment.
2. An advertising opportunity is identified.
3. Eligible campaigns are filtered by audience, placement, budget, policy and pacing.
4. The platform evaluates bids and quality or relevance signals.
5. An advertisement is selected and delivered.
6. Events such as impression, click, view, conversion or invalid traffic are recorded.

The exact mechanism differs by platform. Some systems use generalized second-price-like logic, while others use first-price auctions or proprietary ranking formulas. It is therefore unsafe to assume that the winner always pays the second-highest bid.

A simplified ranking concept can be represented as:

Here, R_i is the ranking score for advertiser i, b_i is its bid, and q_i is a platform-defined quality or relevance factor. This is a conceptual model, not a universal platform formula. The variables have no fixed units, and platforms may include predicted action rates, landing-page experience, ad quality, context and policy signals. It is useful for explaining why relevance can affect competitiveness, but it should not be used to predict a platform’s exact price.

Auction outcomes are also constrained by budgets and pacing. A campaign with a high bid may not spend fully if its audience is narrow, its creative is rejected, its schedule is restricted or the platform cannot find eligible inventory. Conversely, inexpensive inventory is not necessarily efficient if it has poor viewability, low-quality traffic or weak brand suitability.

4. Targeting, Data and Identity

Targeting can be based on context, geography, device, declared interests, observed behavior, customer relationships or platform-defined audiences. The strategic question is not how narrowly an audience can be defined, but whether the targeting improves expected business value without creating unacceptable privacy or fairness risks.

Cookies and Their Decline

A first-party cookie is set by the website a user visits. A third-party cookie is set or accessed by a domain different from the one the user is visiting, historically supporting cross-site advertising, frequency management and measurement. Browser restrictions, operating-system policies, regulatory requirements and consumer expectations have reduced the reliability of third-party cookies.

Their decline does not mean that data-driven advertising has ended. It encourages alternatives such as:

• consented first-party data;
• contextual and cohort-like methods;
• publisher-provided audiences;
• clean rooms that restrict data sharing and analysis;
• modeled conversions and aggregated reporting;
• device or platform APIs designed to reduce individual-level exposure; and
• media-mix or incrementality approaches that do not depend on user-level tracking.

These methods involve trade-offs. More privacy-preserving systems may reduce granularity, increase uncertainty or make frequency and attribution harder. Privacy is not merely a technical constraint; it is a design principle governing what data should be collected, combined and retained.

5. Measurement and Attribution

Core Metrics

The following metrics are commonly used. Definitions must be agreed before a campaign begins because platforms may count events differently.

CTR is click-through rate, expressed as a percentage. It describes the proportion of recorded impressions followed by a recorded click. It does not measure all forms of attention or persuasion.

CPM is cost per thousand impressions. Media cost and impressions must refer to the same delivery scope. CPM is not a measure of quality by itself.

CPC is cost per click, expressed in the campaign currency per click. It is meaningful only when clicks are defined consistently and are sufficiently valid.

CVR is conversion rate among recorded clicks. Some organizations instead calculate conversions divided by sessions or users; the denominator must be stated.

CPA is cost per attributed conversion. It should not be interpreted as the incremental cost of generating a conversion unless the measurement design estimates incrementality.

ROAS is return on advertising spend. Revenue, returns, discounts, margins and attribution windows should be defined. A ROAS of 4 means four currency units of attributed revenue per currency unit of media cost; it does not necessarily mean four units of profit.

Worked Example

An advertiser spends £12,000 and receives 600,000 impressions, 9,000 clicks and 360 recorded conversions. Attributed revenue is £48,000.

• CTR = 9,000 ÷ 600,000 × 100 = 1.5%
• CPM = £12,000 ÷ 600,000 × 1,000 = £20
• CPC = £12,000 ÷ 9,000 = £1.33 approximately.
• CVR = 360 ÷ 9,000 × 100 = 4%
• CPA = £12,000 ÷ 360 = £33.33 approximately.
• ROAS = £48,000 ÷ £12,000 = 4

These calculations assume that the reported impressions, clicks and conversions are defined consistently, that costs exclude or include fees consistently, and that the revenue is correctly attributed. They do not establish causality.

Attribution Models

Attribution assigns credit for an outcome to one or more marketing contacts. Common approaches include:

• Last-click attribution: assigns all credit to the final recorded click.
• First-click attribution: assigns all credit to the first recorded click.
• Linear attribution: distributes credit equally across selected contacts.
• Time-decay attribution: gives more credit to contacts closer to conversion.
• Position-based attribution: gives greater weight to first and last contacts.
• Data-driven attribution: estimates credit using observed patterns and a platform-specific model.
• Incrementality testing: compares outcomes between exposed and control groups to estimate additional outcomes caused by advertising.

Attribution is not the same as causation. A person who clicks a search advertisement may already have been highly likely to buy. A platform may claim credit for a conversion after an impression even when the advertisement had little influence. Randomized experiments, geographic tests, conversion lift studies and carefully designed holdouts are stronger tools for causal inference, although they are more expensive and operationally demanding.

6. Ad Operations and Campaign Workflow

A professional campaign passes through several operational stages:

1. Briefing: define the business problem, audience, proposition, budget, timing and success criteria.
2. Planning: select channels, inventory, targeting logic, creative formats, measurement design and governance rules.
3. Trafficking: upload assets, tracking parameters, pixels or approved tags, landing pages and campaign settings.
4. Quality assurance: test links, rendering, tracking, frequency, consent behavior, device compatibility and policy compliance.
5. Launch and monitoring: check delivery, spend, reach, frequency, errors, invalid traffic, placement quality and early performance.
6. Optimization: adjust bids, budgets, audience breadth, creative, placements or landing pages based on valid evidence.
7. Reporting and learning: distinguish delivery metrics from outcome metrics and document recommendations.

Ad operations also includes taxonomy and data hygiene. Campaign names, creative versions, audience definitions, event names and conversion windows should be standardized. Without this discipline, an apparently sophisticated dashboard may combine incompatible measurements.

7. Viewability, Fraud and Brand Safety

Viewability

A served impression is not automatically viewable. Industry measurement standards commonly define a display impression as viewable when at least 50% of its pixels are in view for at least one continuous second; for large display units, a different pixel threshold may apply. Video viewability commonly uses at least 50% of pixels in view for at least two continuous seconds. These are measurement standards, not guarantees of attention, comprehension or effectiveness.

Viewability can be improved through reputable inventory, suitable placement, fast-loading creative, reasonable page design and verification. Optimizing only for high viewability can nevertheless produce narrow or expensive inventory and should be balanced against reach and outcomes.

Invalid Traffic and Ad Fraud

Invalid traffic includes non-human activity, automated browsing, manipulation of impressions or clicks, and other activity that does not represent legitimate advertising opportunity. Fraud may involve bots, fake sites, domain spoofing, click farms or manipulated applications. Controls include supply-path transparency, ads.txt or equivalent publisher declarations, app-ads.txt, verification vendors, frequency anomaly detection, exclusion lists and careful vendor selection.

No control eliminates all fraud. Measurement should report what has been filtered, which vendor definitions were used and how estimates may affect results.

Brand Safety and Suitability

Brand safety concerns environments that may create unacceptable adjacency or reputational harm, such as extremist content, graphic violence, misinformation or illegal activity. Brand suitability is broader and reflects the level of contextual risk appropriate for a particular brand. A news organization may accept environments that a children’s brand would avoid.

Controls include keyword and topic exclusions, allowlists, blocklists, category controls, pre-bid filters, post-bid verification, human review and contractual escalation procedures. Excessive exclusion can reduce reach and unintentionally suppress legitimate journalism or marginalized viewpoints. Governance therefore requires proportionality rather than a universal blacklist.

8. Ethics, Regulation and Responsible Practice

Digital advertising raises issues of consent, transparency, discrimination, manipulation and data security. Relevant legal requirements vary by jurisdiction, but responsible practice generally includes:

• collecting only data that is necessary for a stated purpose;
• obtaining valid consent where required and honoring refusal or withdrawal;
• clearly disclosing sponsored content and commercial relationships;
• avoiding misleading claims and dark patterns;
• protecting children and vulnerable audiences;
• providing accessible advertisements and landing pages;
• testing whether targeting excludes or disadvantages protected groups; and
• retaining data only as long as justified.

Personalization can improve relevance, but sensitive inferences—such as health conditions, financial distress, political beliefs or precise movements—create heightened risks. Even when a platform technically permits a targeting option, the brand should ask whether the practice is fair, expected and defensible.

Generative artificial intelligence can support copy variation, image production, audience analysis, transcription and campaign operations. It also introduces risks involving copyright, fabricated claims, hidden bias, synthetic influencers, unauthorized likenesses and inconsistent brand voice. Human review, provenance records, approval workflows and testing remain necessary.

9. Contemporary Privacy-Preserving Advertising

The industry is moving toward a mixed measurement environment. Some activity remains addressable within logged-in platforms or retailer ecosystems, while other activity relies on contextual signals, first-party relationships, clean rooms and aggregated reporting. A clean room allows approved parties to compare or analyze data under controlled rules without freely exchanging raw identifiable records. Its value depends on governance, matching quality, minimum audience thresholds and analytical transparency.

Privacy-preserving methods should be evaluated according to four questions:

1. What user-level information is collected or inferred?
2. What consent, expectation and legal basis support the processing?
3. Can the advertiser measure outcomes without exposing unnecessary identity information?
4. Does the method create unequal treatment or opaque decision-making?

The strategic consequence is that brands should invest in durable capabilities: quality customer relationships, consent management, contextual intelligence, clean measurement, experimentation and strong creative. Dependence on a single platform identifier is commercially and ethically fragile.

10. Integrated Campaign Planning Framework

An effective plan links the customer journey with channel roles rather than assigning every channel the same task.

A planning process can be expressed as follows:

1. State the business outcome and the customer problem.
2. Define a measurable communication objective.
3. Identify a strategically justified audience, including exclusions.
4. Select channel roles according to attention, intent, reach and data conditions.
5. Develop platform-appropriate creative variations.
6. Establish a measurement plan before launch, including test and control options where feasible.
7. Set privacy, safety, accessibility and escalation requirements.
8. Allocate budget, monitor delivery and optimize without overreacting to noisy short-term data.
9. Conduct a post-campaign evaluation that separates attributed results from incremental effects.

Illustrative Case: Northstar Outdoor Apparel

Background

Northstar Outdoor Apparel, a fictional mid-sized brand, is launching a waterproof commuter jacket. It sells through its own website and two retail partners. The marketing team has a £180,000 eight-week budget and wants both category awareness and profitable sales.

Problem

The team initially proposes spending most of the budget on retargeting because it produces the lowest reported CPA. However, the audience is small, frequency is rising and many users would probably have purchased without the advertisement. The brand also has limited first-party consented data and wants to avoid dependence on third-party cookies.

Analysis

The product requires explanation: waterproof performance, breathability and fit are important, while commuter use creates a visually demonstrable context. Search can capture existing demand, but awareness media is needed to expand demand. Retail media can influence shoppers near purchase, but its attributed sales must be tested against organic sales and comparable periods.

Approach and Solution

Northstar assigns 35% of the budget to short-form video and connected television for broad reach, 20% to contextual display and native content, 20% to non-brand and brand search, 15% to retail-media placements and 10% to creator partnerships. The plan uses contextual topics such as commuting, cycling and wet-weather travel rather than relying exclusively on cross-site behavioral tracking.

Creators demonstrate the jacket in realistic commuting conditions and disclose the paid relationship. Search campaigns use separate brand and generic structures with negative keywords. Retail listings improve product information and imagery. The team uses consented first-party email audiences where appropriate, platform reporting in aggregated form and a geographic holdout for part of the awareness activity.

The measurement plan reports reach, frequency, viewability and completed views for upper-funnel activity; qualified visits and branded search for consideration; and contribution-margin-based sales, not only platform-attributed revenue, for lower-funnel activity. A dashboard flags unusually high frequency, invalid traffic and unsafe placements.

Outcome

The campaign produces higher branded search volume and stronger sales in exposed regions than in the holdout regions, although the result is not attributed entirely to advertising because weather and retailer promotions also changed. Retargeting reports the lowest platform CPA, but the geographic test indicates that broader video and contextual activity generated additional demand that retargeting alone would not have created.

Learning Points

The case illustrates five principles: channel roles should be complementary; attributed conversions are not automatically incremental; privacy constraints can encourage stronger contextual and first-party strategy; creator authenticity requires governance; and campaign evaluation should include both immediate response and long-term demand creation.

Challenges and Limitations

Digital advertising measurement is affected by consent loss, browser restrictions, walled gardens, identity fragmentation, delayed conversions, ad blockers, cross-device behavior and inconsistent platform definitions. Optimization algorithms can amplify historical bias or favor easy-to-measure actions. Small brands may lack the data volume needed for reliable machine learning, while large brands may mistake statistical precision for strategic truth.

The apparent measurability of digital media can therefore create false confidence. A dashboard may contain many numbers without answering the causal question: what would have happened without the advertising? Managers should combine platform reporting with experiments, market-level analysis, qualitative research, brand tracking and sound commercial judgment.

Best-Practice Checklist

• Begin with the business and customer objective, not the available platform feature.
• Match channel metrics to channel roles.
• Use transparent definitions for impressions, views, clicks and conversions.
• Separate brand, generic and retargeting activity where possible.
• Test incrementality rather than relying solely on platform attribution.
• Use contextual and consented first-party approaches as durable foundations.
• Verify viewability, invalid traffic and brand suitability.
• Make sponsored content and data practices understandable.
• Build accessibility, privacy and safety into campaign design.
• Maintain disciplined trafficking, naming, QA and documentation.
• Treat AI as an assisted system requiring human governance.

Chapter Summary

Digital, social and mobile advertising form an interconnected ecosystem of platforms, publishers, advertisers, technology vendors and measurement providers. Paid search captures intent; display and video provide reach and storytelling; social enables participatory and platform-native communication; influencers provide creator credibility; retail media operates near purchase; mobile requires context-sensitive design; and native advertising integrates with surrounding experiences while requiring clear disclosure.

Platform auctions combine bids with relevance, quality, eligibility and pacing, but each platform uses its own mechanics. Targeting increasingly depends on contextual signals, first-party relationships, publisher data, clean rooms and aggregated or modeled measurement as third-party cookies decline. Core metrics such as CTR, CPM, CPC, CVR, CPA and ROAS are useful descriptive tools, but they do not by themselves establish incremental causation.

Professional practice requires disciplined ad operations, viewability and fraud controls, brand-safety governance, privacy protection, ethical targeting and transparent influencer and native disclosures. The strongest campaigns assign distinct roles to channels, connect creative to customer context and evaluate both immediate outcomes and longer-term demand. Digital advertising is therefore not merely a technical buying activity; it is a strategic, analytical and ethical component of brand management.

Key Terms

Ad exchange: A technology marketplace that facilitates the buying and selling of digital advertising inventory.

Ad server: A system that stores, delivers and records digital advertisements.

Attribution: The assignment of credit for a marketing outcome to one or more contacts.

Brand safety: Practices that reduce the risk of advertisements appearing beside unacceptable content.

Clean room: A controlled environment for analyzing approved data without unrestricted sharing of raw identifiable information.

Contextual targeting: Selecting advertising inventory based on the content or environment in which it appears.

Conversion: A defined action such as a purchase, lead, booking or application install.

CPM: Cost per thousand impressions.

DSP: Demand-side platform used to manage automated advertising purchases.

First-party data: Data collected directly by an organization through its own relationship with a customer or visitor.

Incrementality: The additional outcome caused by advertising compared with what would have happened without it.

Influencer advertising: Paid communication delivered through a creator or individual with an audience relationship.

Native advertising: Paid content designed to resemble the form and function of its surrounding environment.

Programmatic advertising: Automated buying and selling of digital advertising inventory.

Retail media: Advertising sold through a retailer’s digital, physical or commerce-related properties.

ROAS: Attributed revenue divided by advertising spend.

SSP: Supply-side platform used by publishers to manage and sell advertising inventory.

Viewability: The extent to which an advertisement meets a defined on-screen visibility standard.

Invalid traffic: Advertising activity that is not considered legitimate human opportunity, including certain automated or fraudulent activity.

Review Questions

5 Short Answer Questions

1. What distinguishes paid search from display advertising?
2. Why is a served impression not equivalent to an advertisement being noticed?
3. Define first-party data and contextual targeting.
4. What is the difference between attribution and incrementality?
5. State two operational controls used to improve brand safety.

5 Long Answer Questions

1. Explain how a digital advertising auction may combine bids, quality, relevance and eligibility. Why should the simplified ranking model not be treated as a universal platform formula?
2. Compare the strategic roles of video, social, influencer and retail-media advertising across the customer journey.
3. Discuss the decline of third-party cookies and evaluate three privacy-preserving alternatives.
4. Explain the strengths and limitations of CTR, CPM, CPA and ROAS as campaign metrics.
5. Design an ad-operations workflow from briefing through post-campaign evaluation, including quality assurance and governance.

3 Analytical / Application Questions

1. A campaign receives 2,000,000 impressions, 20,000 clicks, 800 conversions and costs £30,000. Calculate CTR, CPC, CVR, CPA and CPM. Interpret which additional information would be needed before judging the campaign successful.
2. A retailer reports excellent ROAS from retargeting, while an independent geographic test shows little difference in sales between exposed and control regions. Analyze at least three reasons for the discrepancy and recommend a measurement response.
3. Develop an integrated eight-week launch plan for a new mobile application using paid search, social, creators, display and mobile in-app advertising. Specify channel roles, privacy safeguards, creative adaptations and outcome measures.

Multiple Choice Questions with Answers

Question 1

Which metric is calculated as clicks divided by impressions, multiplied by 100?

A. Conversion rate

B. Click-through rate

C. Cost per acquisition

D. Return on advertising spend

Correct Answer: B. Click-through rate

Question 2

What is the principal strategic strength of paid search advertising?

A. It reaches only users who have already expressed relevant search intent

B. It guarantees incremental sales for every recorded click

C. It eliminates the need for landing-page relevance

D. It creates broad awareness without existing category demand

Correct Answer: A. It reaches only users who have already expressed relevant search intent

Question 3

Which statement about a digital advertising auction is most accurate?

A. The highest bid always wins and determines the final price

B. All platforms use an identical second-price auction

C. Eligibility, relevance and quality may affect ranking in addition to bids

D. Budgets and pacing have no effect after a bid is submitted

Correct Answer: C. Eligibility, relevance and quality may affect ranking in addition to bids

Question 4

An advertiser spends £10,000 and receives 500,000 impressions. What is the CPM?

A. £2

B. £5

C. £20

D. £50

Correct Answer: C. £20

Question 5

Which approach is designed most directly to estimate what would have happened without advertising?

A. Last-click attribution

B. Frequency capping

C. Randomized holdout or control-group testing

D. Counting served impressions

Correct Answer: C. Randomized holdout or control-group testing

Question 6

What is a first-party cookie?

A. A cookie set by the website the user is visiting

B. A cookie that can be read by every advertising platform

C. A cookie used only for television measurement

D. A cookie that automatically proves user consent

Correct Answer: A. A cookie set by the website the user is visiting

Question 7

Which practice is most appropriate for influencer advertising?

A. Hiding the commercial relationship to preserve authenticity

B. Selecting creators only by follower count

C. Disclosing the paid relationship clearly and prominently

D. Allowing any product claim made by the creator

Correct Answer: C. Disclosing the paid relationship clearly and prominently

Question 8

What does viewability measure most directly?

A. Whether an advertisement met a defined on-screen visibility standard

B. Whether a viewer remembered the brand one month later

C. Whether an impression generated incremental profit

D. Whether a click was made by a human

Correct Answer: A. Whether an advertisement met a defined on-screen visibility standard

Question 9

Why can a platform-reported ROAS overstate advertising effectiveness?

A. ROAS never includes revenue

B. Attributed conversions may have occurred without the advertisement

C. ROAS is calculated only from impressions

D. ROAS cannot be calculated when media costs are known

Correct Answer: B. Attributed conversions may have occurred without the advertisement

Question 10

Which is an example of contextual targeting?

A. Showing hiking-shoe advertising beside content about trail planning

B. Showing an advertisement only to people inferred to have a medical condition

C. Using a competitor’s customer database without permission

D. Showing every user the same advertisement regardless of content

Correct Answer: A. Showing hiking-shoe advertising beside content about trail planning