OTT & New Media Management

Chapter 9
Marketing, Audience Acquisition and Retention

Bachelors Program in Mass Media Management
OTT & New Media Management   •   Bachelor

Marketing, Audience Acquisition and Retention

Introduction

OTT services compete in a market in which audiences can switch platforms with very little effort. A viewer may subscribe to several services, cancel one after watching a preferred series, discover content through a social platform, and return months later when a new season is released. Consequently, OTT marketing is not limited to advertising a programme. It is the coordinated management of brand meaning, discovery, conversion, usage, satisfaction, loyalty and revenue across the customer relationship.

For an OTT enterprise, marketing performance depends on the relationship between content value and audience experience. A highly visible campaign cannot compensate for poor streaming quality, confusing pricing, weak recommendations or difficult cancellation procedures. Similarly, an excellent catalogue may underperform if potential viewers cannot discover it or understand why it is relevant to them.

This chapter explains how OTT managers design integrated campaigns using branding, performance marketing, social media, influencers, customer relationship management (CRM) and community management. It also examines conversion funnels, engagement, churn, loyalty and customer lifetime value (CLV). The emphasis is managerial: students should be able to translate audience data and consumer insight into coordinated decisions.

Learning Objectives

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

  1. Distinguish brand-building activity from performance marketing and explain how they work together.
  2. Design an integrated OTT acquisition campaign across paid, owned, earned and shared media.
  3. Analyse the audience conversion funnel and identify appropriate metrics at each stage.
  4. Explain engagement, churn, retention, loyalty and customer lifetime value.
  5. Propose CRM, influencer and community-management interventions.
  6. Evaluate ethical, legal and operational risks in audience marketing.
  7. Interpret campaign evidence and recommend improvements.

1. The OTT Audience-Value System

Traditional media often monetised a relatively stable audience through advertising or scheduled distribution. OTT platforms generally combine subscription, advertising, transactional and hybrid models. Their marketing problem is therefore multidimensional:

  • Acquisition: attracting prospects and converting them into registered users or paying customers.
  • Activation: helping new users experience value quickly, such as completing account setup and watching a relevant programme.
  • Engagement: encouraging regular, meaningful usage.
  • Retention: reducing cancellation and maintaining perceived value.
  • Monetisation: increasing revenue through subscriptions, advertising exposure, transactions or carefully designed upgrades.
  • Advocacy: encouraging recommendations, reviews, referrals and positive participation.

The audience journey is not necessarily linear. A user can enter through a creator recommendation, leave after a billing problem, return through a reactivation offer, and become an advocate after a successful support interaction. Managers should therefore treat the funnel as a set of connected states rather than a one-way staircase.

A useful strategic principle is promise–experience consistency. Advertising creates an expectation; the product experience confirms or violates it. If a campaign promises exclusive premium cinema but the content is unavailable in the user’s territory, trust and retention suffer. Brand communications, product design, content scheduling, customer service and technology operations must therefore be managed as one system.

2. Branding and Positioning in OTT

An OTT brand is a mental and emotional shortcut that helps audiences choose among substitutable services. It includes the name, visual identity and tone of voice, but also the catalogue, interface, recommendation style, price, customer support and social reputation.

2.1 Positioning

Positioning specifies the distinctive value a platform intends to own in a target audience’s mind. A useful positioning statement identifies:

  1. the target audience;
  2. the category or competitive frame;
  3. the audience problem or desire;
  4. the differentiated benefit; and
  5. the evidence supporting the promise.

For example, an illustrative service might position itself as “the most trusted destination for regional-language drama for urban young adults,” supported by exclusive commissions, accurate subtitles and a strong mobile experience. A positioning statement is not a slogan. It is a strategic guide for content acquisition, partnerships, creative execution and service design.

2.2 Brand-building and performance marketing

Brand-building aims to create awareness, memory structures, preference and long-term demand. It uses distinctive assets, storytelling, publicity, sponsorships, trailers and cultural participation. Its effects may accumulate slowly and may not be visible through immediate clicks.

Performance marketing seeks measurable short- or medium-term action, such as registration, trial start, subscription, upgrade or reactivation. It uses search advertising, retargeting, affiliate links, app-install campaigns, landing-page optimisation and conversion experiments.

The two approaches are complementary. Brand activity expands the pool of people who recognise and trust the service; performance activity helps interested people act. Excessive dependence on last-click performance can undervalue earlier brand contacts and encourage discounting. Excessive dependence on awareness measures can conceal weak conversion or poor retention.

Marketing roleTypical objectiveExamples of measures
Brand buildingCreate memory and preferenceUnaided awareness, consideration, brand association
AcquisitionGenerate qualified prospectsCost per lead, cost per install, reach, click-through rate
ConversionProduce registrations or subscriptionsConversion rate, cost per acquisition, trial start rate
RetentionPreserve active customersChurn rate, renewal rate, cohort retention
AdvocacyStimulate recommendationReferral rate, review sentiment, earned reach

3. Integrated Campaign Planning

An integrated campaign coordinates messages, audiences, channels, timing, creative assets, offers and measurement. It should begin with a business problem rather than a platform preference.

3.1 Campaign planning sequence

Define the objective. Objectives should be specific and measurable, such as increasing qualified trial starts in a particular segment while maintaining a minimum retention level.

Identify the audience. Segmentation may use demographics, geography, language, viewing behaviour, device, subscription status, life stage or psychographic motivation. Behavioural segments are often especially useful: new registrants, dormant users, heavy users, viewers of a specific genre and users approaching renewal.

Develop the value proposition. The proposition should answer why the audience should act now and why this service is credible. It may be based on exclusive content, convenience, cultural relevance, price, quality, community or bundle value.

Select the channel mix. Paid media provides scale and targeting; owned media provides control and lower marginal communication cost; earned media provides third-party credibility; shared media enables participation and conversation. Effective plans connect these categories rather than treating them as isolated departments.

Design the conversion path. A social advertisement, for example, should lead to a relevant landing page or app store listing, not a generic home page. The creative promise, landing-page content, price and sign-up process should be congruent.

Set measurement rules. Managers should define the primary outcome, supporting indicators, attribution window, test cells, reporting frequency and decision thresholds before launch.

Optimise and learn. Campaign teams should compare audience segments, creative variants, offers, landing pages and timing. Optimisation must consider downstream quality, not merely cheap clicks.

3.2 The conversion funnel

A practical OTT funnel includes the following stages:

  1. Awareness: the person encounters the brand or title.
  2. Interest: the person seeks information, watches a trailer or visits a profile.
  3. Consideration: the person compares content, price, quality and alternatives.
  4. Conversion: the person registers, starts a trial, subscribes or purchases.
  5. Activation: the person completes a meaningful first experience.
  6. Engagement: the person returns and consumes content regularly.
  7. Retention: the person renews or remains active.
  8. Advocacy: the person recommends, reviews or refers others.

Funnel metrics must be interpreted together. A campaign can have a high click-through rate but low subscription conversion because the targeting is broad or the landing page is weak. A discount can increase conversion but reduce CLV if it attracts users who cancel immediately after the offer ends.

A basic stage conversion rate is:

Conversion rate = Number of desired actions ÷ Number of eligible users × 100

The numerator and denominator must refer to the same defined period, population and action. For example, a trial-to-paid conversion rate should not use all website visitors as its denominator.

3.3 Attribution and experimentation

Attribution assigns credit for an outcome to marketing contacts. Last-click attribution is simple but often over-crediting the final interaction. First-click, linear, position-based and data-driven approaches offer alternatives, each with assumptions and limitations. No attribution model can fully observe untracked exposure, word of mouth, simultaneous campaigns or the effect of brand familiarity.

Randomised experiments provide stronger evidence when feasible. A platform may randomly assign eligible users to a control group and a treatment group. If the treatment group produces a higher outcome and the groups are comparable, the difference provides an estimate of incremental impact. Managers must still check statistical uncertainty, sample size, interference between users and whether the result generalises beyond the test population.

4. Social Media, Influencers and Community Management

4.1 Social media strategy

Social media serves at least four OTT functions: discovery, cultural conversation, service communication and relationship building. Content should be adapted to the norms of each platform rather than copied mechanically. Short-form video may create discovery, live discussion may intensify event viewing, and behind-the-scenes material may deepen attachment to talent or a programme.

A social plan should specify:

  • audience and cultural insight;
  • content pillars;
  • platform role;
  • publishing rhythm;
  • moderation standards;
  • escalation procedures;
  • accessibility requirements, including captions and alternative text; and
  • success measures.

Vanity metrics such as likes are not automatically business outcomes. A post can be valuable because it increases qualified awareness, reduces support questions, improves sentiment or creates a conversation that supports launch momentum. Measurement should match the intended role.

4.2 Influencer marketing

Influencers provide attention, credibility and interpretive context. Their value depends on audience fit, trust, creative quality, brand safety and disclosure—not simply follower count. Selection should examine audience authenticity, geographic and linguistic relevance, engagement quality, previous brand relationships and the probability of reaching the intended segment.

A sound influencer brief gives creators a clear objective, mandatory factual information, legal disclosure requirements, prohibited claims, approval boundaries and reporting expectations. Excessive scripting can destroy authenticity, while inadequate control can create misleading claims or reputational harm. Paid relationships must be disclosed clearly and prominently according to applicable advertising rules.

4.3 Community management

Community management is the active stewardship of audience interaction. It includes responding to questions, identifying recurring complaints, facilitating fan participation, correcting misinformation and escalating safety or legal concerns. It is not merely deleting negative comments.

A professional operating model includes response-time targets, tone guidelines, moderation tiers, escalation ownership and documented decisions. Threats, hate speech, doxxing, harassment, copyright infringement and harmful misinformation require different responses. Moderation should be consistent, proportionate and transparent enough to preserve legitimacy.

5. CRM, Personalisation and Lifecycle Marketing

CRM links customer data, communication and service action across the user lifecycle. Typical CRM inputs include account status, consent, viewing history, device, support interactions, offer exposure and payment events. Data should be collected for defined purposes and governed by access controls, retention rules and consent requirements.

Lifecycle programmes may include:

  • welcome messages and onboarding guidance;
  • reminders about unfinished content;
  • recommendations based on declared or observed preferences;
  • alerts about new episodes or relevant releases;
  • payment-failure assistance;
  • renewal and win-back communication; and
  • loyalty recognition or referral programmes.

Personalisation should be useful rather than intrusive. A recommendation that explains its relevance can feel helpful; a message that exposes sensitive inferences can feel unsettling. Users should have meaningful control over marketing preferences, profiling where required, and data use.

CRM also supports next-best-action decisions. For example, a new subscriber who has not played any content may need onboarding help, while a highly engaged user may respond better to a premiere alert than to a discount. Automation should be monitored for frequency overload, unfair exclusion, inaccurate recommendations and accidental communication after cancellation.

6. Engagement, Churn, Retention and Loyalty

Engagement is not simply time spent. It may include frequency, breadth of catalogue use, completion, participation, return behaviour and satisfaction. Managers should distinguish healthy engagement from compulsive or low-quality usage and should avoid optimising solely for minutes when the business model depends on satisfaction and renewal.

A commonly used period churn rate is:

Churn rate = Customers lost during period ÷ Customers at start of period × 100

This definition assumes that the customer base is clearly defined and that additions during the period are excluded from the denominator. If customers can pause, downgrade or use multiple plans, the organisation must specify whether churn means cancellation, non-renewal, inactivity or revenue loss.

For a closed cohort with a constant retention probability, a simplified retention relationship is:

Rt = (1 − c)t

where Rt is the proportion retained after t periods, c is the constant period churn probability, and t is the number of periods. This is a model, not a universal law. Real churn varies by tenure, season, price change, content availability and customer segment.

Retention is influenced by perceived value, habit, switching costs, catalogue freshness, user experience, payment reliability, customer support and competitive offers. The most effective retention intervention may therefore be product or content improvement rather than a promotional message.

Loyalty involves repeated preference and relationship strength. It can be behavioural, attitudinal or both. A user who remains only because cancellation is difficult is not genuinely loyal. Loyalty programmes should reward meaningful value, such as early access, community participation or relevant benefits, while avoiding unfair treatment of non-members.

7. Customer Lifetime Value and Acquisition Economics

CLV estimates the economic value of a customer over the expected relationship. A simple contribution-margin model for a subscription service is:

CLV = (A × m × r) ÷ (1 + d − r)

where:

  • A = average revenue per customer per period;
  • m = contribution margin as a decimal after variable service costs;
  • r = retention probability per period;
  • d = discount rate per period.

The formula assumes constant revenue, margin, retention and discount rate, and an indefinitely continuing relationship. It is a simplified steady-state model and is most useful for comparing segments under similar conditions. It should not be used uncritically when pricing, churn, content costs or behaviour change substantially over time.

A more general discounted CLV is:

CLV = ∑ from t=1 to T [(Revenuet − Variable costt) × P(retainedt)] ÷ (1 + d)t − Acquisition cost

Here, T is the forecast horizon, Revenuet and Variable costt are period-specific values, P(retainedt) is the probability of being retained in period t, and d is the discount rate. Whether acquisition cost is subtracted depends on whether the organisation is calculating gross CLV or net CLV.

Worked example. Suppose a subscriber generates $12 per month, has a 60% contribution margin, and has a monthly retention probability of 0.90. Ignoring discounting for a simple comparison:

CLV ≈ (12 × 0.60 × 0.90) ÷ (1 − 0.90) = $64.80

If acquisition cost is $30, the simplified net contribution after acquisition is $34.80. This result is not a forecast of guaranteed profit. It excludes fixed content costs, taxes, payment fees if not included in the margin, customer-service costs and changes in behaviour. It is a decision aid for comparing acquisition investments.

A campaign is not automatically efficient because its acquisition cost is low. Managers should compare customer acquisition cost (CAC) with expected contribution CLV, assess payback time, and examine cohort quality. A useful managerial condition is that net expected contribution should exceed CAC, subject to risk and strategic objectives.

8. An Integrated Measurement Framework

A balanced measurement system combines leading and lagging indicators.

StageUseful indicatorsManagement question
AwarenessReach, qualified reach, awareness liftDid the intended audience notice us?
InterestTrailer completion, search lift, page visitsDid communication create curiosity?
ConversionRegistration rate, trial starts, CACDid prospects act efficiently?
ActivationFirst-play rate, time to first meaningful experienceDid new users find value?
EngagementActive days, returning viewers, content breadthIs usage meaningful and repeated?
RetentionRenewal, churn, cohort survivalAre customers staying?
ValueContribution CLV, payback, upgrade rateIs growth economically sustainable?
AdvocacyReferrals, reviews, sentiment, earned reachAre users helping growth?

A cohort is a group sharing a defined starting event, such as the month of subscription or campaign source. Cohort analysis reveals whether newer users retain better or worse than earlier users and whether a campaign produces durable customers. It is usually more informative than a single overall average.

Managers should combine quantitative evidence with qualitative research, including interviews, usability tests, social listening, complaint analysis and cancellation surveys. Data indicates what happened; research helps explain why.

9. Illustrative Case: StreamSouth’s Regional Drama Launch

Background

StreamSouth, a fictional mid-sized OTT service, plans to launch an original drama in three regional languages. It has strong content but low awareness outside its home market. Previous campaigns generated inexpensive app installs but weak trial-to-paid conversion and high cancellation after the first month.

Problem

The marketing team has a limited budget and must acquire subscribers without repeating the pattern of low-quality, discount-driven growth. It needs to coordinate brand activity, performance media, creators, CRM and community operations.

Analysis

Research identifies three promising segments: existing users who watch regional drama, lapsed subscribers who cancelled after completing a series, and non-users who follow the lead actors. Interviews show that prospects value credible subtitles, episode availability and a simple explanation of plan benefits. Cancellation feedback indicates that many new users did not discover related content after finishing the launch title.

The team defines two primary outcomes: activated paid subscribers and 90-day retained subscribers. App installs are treated as a supporting metric rather than the main objective. The campaign promise focuses on the drama’s cultural relevance and viewing convenience, not merely on a low price.

Approach and solution

The integrated plan contains five elements:

  1. Brand phase: actor interviews, trailer storytelling, publicity and short-form cultural content build recognition and distinctive associations.
  2. Performance phase: search, video and social advertisements target relevant language and viewing interests. Each advertisement leads to a matching landing page with plan information and subtitle details.
  3. Influencer phase: selected regional creators receive briefing on factual claims and disclosure. They interpret the programme for their communities rather than repeating identical scripts.
  4. CRM phase: new subscribers receive onboarding recommendations, episode reminders and related-content suggestions. Lapsed users receive a personalised reactivation message only where consent permits.
  5. Community phase: moderators host spoiler-aware discussions, answer access questions and escalate copyright or harassment issues.

The team runs a holdout test for a portion of eligible users. It compares a standard onboarding sequence with an enhanced sequence that recommends three related titles after the first episode. It also tests a modest introductory offer against a no-discount message, evaluating 90-day retention rather than only initial conversion.

Outcome

The enhanced onboarding sequence produces fewer immediate conversions than the largest discount, but its subscribers show stronger first-week engagement and better 90-day retention. The team therefore reduces discount dependence, improves catalogue pathways and reallocates budget toward audience sources with higher retained CLV. The campaign report distinguishes paid conversions from estimated incremental conversions and documents limitations in attribution.

Learning points

The case demonstrates that acquisition and retention should be planned together. A campaign is not successful merely because it creates traffic or subscriptions. Content discovery, onboarding, CRM, product experience and community support determine whether acquired users become economically valuable customers.

10. Ethical, Legal and Governance Considerations

OTT marketing involves personal data, behavioural profiling and persuasive communication. Applicable privacy and consumer-protection laws vary by jurisdiction, but responsible practice generally requires clear purpose, lawful processing, data minimisation, security, access controls and appropriate consent. Children and vulnerable audiences require heightened safeguards.

Important governance issues include:

  • truthful pricing and clear disclosure of trial renewal terms;
  • easy, non-deceptive cancellation;
  • transparent influencer and sponsored-content disclosure;
  • respect for copyright, music rights and publicity rights;
  • non-discriminatory targeting and offer eligibility;
  • secure handling of payment and viewing data;
  • accessible communication for users with disabilities;
  • human oversight of automated recommendations and moderation; and
  • audit trails for campaign decisions and data use.

Dark patterns—such as confusing opt-outs, hidden fees, forced continuity or misleading urgency—may increase short-term conversion but damage trust and may breach regulation. Ethical marketing treats informed choice and long-term relationship quality as performance requirements, not obstacles.

11. Contemporary Developments and Best Practice

Artificial intelligence is increasingly used for audience segmentation, recommendation, creative variation, churn prediction, customer-service automation and media optimisation. These applications can improve relevance and speed, but they also create risks of biased targeting, opaque decisions, privacy intrusion, hallucinated claims and excessive personalisation. Human review, model monitoring, data-quality controls and clear escalation paths are essential.

Other developments include connected-TV advertising, retail and telecom bundles, ad-supported tiers, shoppable or interactive content, creator-led distribution and privacy-preserving measurement. The strategic challenge is not to adopt every new tool. It is to determine whether a technology improves audience value, measurement quality or operating efficiency without undermining trust.

Best practice can be summarised as follows:

  1. Begin with audience insight and a measurable business objective.
  2. Align brand promise with the actual content and product experience.
  3. Use performance marketing to acquire quality, not merely volume.
  4. Connect paid, owned, earned and shared channels.
  5. Measure activation and retention, not only clicks and installs.
  6. Use cohort and experiment analysis where possible.
  7. Treat CRM as a value and service system, not a message-blasting tool.
  8. Select influencers for relevance and credibility, and disclose partnerships.
  9. Operate community management with consistent moderation and escalation.
  10. Evaluate CLV, CAC and customer welfare together.
  11. Build privacy, accessibility and fairness into campaign design.
  12. Document assumptions and limitations in every performance report.

Chapter Summary

OTT marketing is the management of an ongoing audience relationship rather than a one-time promotional event. Branding builds awareness, memory and preference, while performance marketing encourages measurable action. Integrated campaigns connect paid, owned, earned and shared media through a coherent value proposition and conversion path.

The audience funnel extends from awareness and interest to conversion, activation, engagement, retention and advocacy. Appropriate metrics must be matched to each stage, and cohort analysis, experimentation and qualitative research improve interpretation. Social media and influencers support discovery and cultural participation; community management protects trust and improves the service relationship. CRM enables lifecycle communication and useful personalisation when governed responsibly.

Churn, retention, loyalty, CAC and CLV are central managerial concepts. Simplified formulas are useful for comparison but depend on explicit assumptions. Sustainable growth requires attention to downstream retention and contribution rather than inexpensive acquisition alone. Ethical practice requires truthful communication, privacy protection, fair targeting, transparent commercial relationships, accessible design and meaningful user control. The strongest OTT campaigns integrate marketing, content, product, data, customer service and governance into one audience-value system.

Key Terms

Acquisition: The process of attracting and converting new users or customers.

Activation: The point at which a new user experiences meaningful initial value.

Advocacy: Positive recommendation or participation that supports further growth.

Brand positioning: The intended distinctive place of a brand in the target audience’s mind.

CAC: Customer acquisition cost; the cost of obtaining a defined new customer.

Churn: Loss of customers, subscriptions or active users during a specified period.

CLV: Customer lifetime value; expected contribution generated over the customer relationship.

Cohort: A group sharing a defined starting event or characteristic.

Community management: Structured participation, support and moderation of audience communities.

Conversion funnel: Stages through which a prospect moves from awareness to action and retention.

CRM: Customer relationship management using customer data and coordinated interaction.

Engagement: Meaningful and repeated interaction with a service or its content.

Influencer marketing: Promotional collaboration with creators who have relevant audience trust or reach.

Lifecycle marketing: Communication and intervention across stages of the customer relationship.

Performance marketing: Marketing optimised for measurable actions or outcomes.

Personalisation: Adapting content, offers or communication to an individual or segment.

Retention: Continuation of customer activity or subscription over time.

Shared media: Social or community spaces in which audiences and brands participate together.

Touchpoint: An interaction between an audience member and the brand or service.

Value proposition: A clear statement of the benefit offered and why it is credible.

Review Questions

5 Short Answer Questions

  1. Distinguish brand-building from performance marketing in an OTT context.
  2. What is meant by activation, and why is it important after conversion?
  3. Identify four possible functions of social media for an OTT service.
  4. Define churn and state one assumption required when calculating a churn rate.
  5. Why is cohort analysis useful in evaluating OTT campaigns?

5 Long Answer Questions

  1. Explain how an OTT manager can integrate paid, owned, earned and shared media in a programme launch.
  2. Discuss the relationship between positioning, value proposition and customer retention.
  3. Analyse the role of CRM in onboarding, engagement, renewal and win-back activity.
  4. Explain the assumptions and limitations of the simplified CLV formula presented in this chapter.
  5. Discuss ethical and regulatory risks associated with personalisation, influencer marketing and subscription offers.

3 Analytical / Application Questions

  1. An OTT campaign produces many app installs but few paid subscriptions and high first-month churn. Diagnose possible causes across the funnel and recommend a measurement-led response.
  2. Design a 90-day integrated campaign for a new regional-language series. Specify the target segment, proposition, channel roles, CRM actions, community plan and primary metrics.
  3. Using the CLV assumptions in this chapter, compare two segments: Segment A has monthly revenue of $10, contribution margin of 50% and retention probability of 0.92; Segment B has monthly revenue of $14, contribution margin of 60% and retention probability of 0.85. Ignore discounting, show the calculation, and explain why the higher-revenue segment may not be the more valuable one.

Multiple Choice Questions with Answers

Question 1

Which activity is primarily associated with brand building?

A. Improving long-term awareness and preference

B. Reducing the checkout form from six fields to two

C. Bidding on a competitor’s search keyword for one day

D. Sending a payment-failure reminder

Correct Answer: A. Improving long-term awareness and preference

Question 2

Which denominator is most appropriate for a trial-to-paid conversion rate?

A. All social media followers

B. All website visitors in the year

C. Users who began the defined trial

D. All customers who ever cancelled

Correct Answer: C. Users who began the defined trial

Question 3

What is the main weakness of last-click attribution?

A. It cannot report clicks

B. It may over-credit the final interaction and undervalue earlier contacts

C. It measures only offline advertising

D. It always requires a randomised experiment

Correct Answer: B. It may over-credit the final interaction and undervalue earlier contacts

Question 4

According to the simplified churn formula in the chapter, churn rate is calculated as:

A. Customers gained divided by customers at the end

B. Customers lost during the period divided by customers at the start

C. Revenue lost divided by total advertising spend

D. Active days divided by total viewing hours

Correct Answer: B. Customers lost during the period divided by customers at the start

Question 5

A key purpose of activation in an OTT funnel is to:

A. Ensure a new user experiences meaningful initial value

B. Maximise the number of impressions regardless of audience

C. Replace all brand advertising with discounts

D. Prevent users from cancelling through hidden settings

Correct Answer: A. Ensure a new user experiences meaningful initial value

Question 6

In the simplified CLV model, the variable m represents:

A. Monthly audience reach

B. Marketing frequency

C. Contribution margin as a decimal

D. Number of media channels

Correct Answer: C. Contribution margin as a decimal

Question 7

Which influencer-selection criterion is most strategically relevant?

A. Follower count alone

B. Audience relevance, credibility and authenticity

C. The creator’s willingness to avoid disclosure

D. The highest possible number of hashtags

Correct Answer: B. Audience relevance, credibility and authenticity

Question 8

Why should OTT managers evaluate retention after a discount campaign?

A. Discounts never affect conversion

B. Low-cost acquisition may produce customers with weak long-term value

C. Retention is unrelated to customer value

D. Retention can be measured only before acquisition

Correct Answer: B. Low-cost acquisition may produce customers with weak long-term value

Question 9

Which is an example of community management?

A. Ignoring all user complaints

B. Buying television inventory without audience targeting

C. Moderating discussion, answering questions and escalating safety issues

D. Changing the subscription price without notice

Correct Answer: C. Moderating discussion, answering questions and escalating safety issues

Question 10

A responsible use of AI in OTT marketing requires:

A. Removing all human oversight

B. Using every available personal attribute

C. Monitoring bias, protecting data and providing appropriate human review

D. Hiding automated decisions from users in every circumstance

Correct Answer: C. Monitoring bias, protecting data and providing appropriate human review

OTT & New Media Management
Chapter 9 of 15