Growth & Scaling Strategies

Chapter 6
Customer Acquisition, Retention and Revenue Growth

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Growth & Scaling Strategies   •   Bachelor

Customer Acquisition, Retention and Revenue Growth

Introduction

Growth is not simply the achievement of higher sales. Sustainable growth occurs when an organization can repeatedly attract appropriate customers, convert them into paying users, deliver sufficient value to retain them, and generate revenue at an economically viable cost. Entrepreneurs therefore need to understand growth as a system rather than as a collection of isolated marketing activities.

A growth system connects five questions:

  1. Who is the target customer?
  2. How does the customer discover and evaluate the offering?
  3. What causes the customer to purchase and continue using it?
  4. How much value does the customer generate over time?
  5. Can the organization acquire and serve customers profitably at increasing scale?

This chapter examines customer acquisition, sales funnels, partnerships, retention, churn, pricing, monetization and product-led growth. It also introduces the principal unit-economics measures used to evaluate growth decisions.

Learning Objectives

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

  • distinguish acquisition, activation, retention, revenue and referral stages of a growth system;
  • design and evaluate marketing, sales and partnership channels;
  • calculate and interpret conversion rates, customer acquisition cost, customer lifetime value and churn;
  • explain how pricing and monetization choices influence growth and profitability;
  • compare sales-led, marketing-led, partnership-led and product-led growth;
  • diagnose growth problems using cohort analysis and funnel evidence;
  • evaluate ethical, regulatory and operational risks in customer growth strategies.

1. Growth as an Integrated System

A firm’s growth engine consists of linked activities that create, communicate, deliver and capture value. Marketing creates awareness and qualified demand. Sales converts demand into contracts or transactions. The product experience delivers the promised value. Customer success and service support continued use. Partnerships extend reach, credibility or capabilities. Finance measures whether these activities produce attractive economics.

A useful conceptual model is the customer lifecycle:

Awareness → Consideration → Conversion → Activation → Retention → Expansion → Advocacy

The stages are not always linear. Customers may enter through referrals, revisit a product several times before purchasing, or leave and later return. Nevertheless, the lifecycle helps managers identify where value is being lost.

A funnel is a measurement model, not a complete theory of customer behavior. A narrow funnel may indicate weak acquisition, poor positioning, friction in onboarding, low product value or an unsuitable customer segment. The correct intervention depends on evidence.

Important terminology

  • Lead: A person or organization that may become a customer.
  • Qualified lead: A lead meeting defined criteria for need, fit, authority, timing or ability to pay.
  • Conversion: A desired customer action, such as registration, purchase or subscription.
  • Activation: The point at which a customer first experiences meaningful product value.
  • Retention: Continued customer use or purchasing over a specified period.
  • Churn: Customer loss or reduction in recurring revenue during a period.
  • Expansion: Additional revenue from an existing customer, such as upgrades or cross-selling.
  • Advocacy: Customer behavior that creates new demand, including referrals and positive reviews.

2. Customer Acquisition Engines

2.1 Market selection and positioning

Acquisition begins before advertising. A venture must select a segment whose problem is sufficiently important, reachable and economically attractive. Segmentation may use demographic, geographic, behavioral, firmographic or needs-based variables. In business markets, firmographic variables include industry, employee count, technology stack and purchasing structure.

A target segment should be specific enough to guide decisions but large enough to support the venture’s objectives. The value proposition then explains the customer problem, the promised outcome and the reason the offering is credible. Effective positioning is comparative: it clarifies why a customer should choose the venture rather than maintain the status quo or select an alternative.

2.2 Marketing-led acquisition

Marketing-led acquisition uses communication and demand-generation activities to attract prospects. Common channels include:

  • search-engine optimization and educational content;
  • paid search and social advertising;
  • email and marketing automation;
  • events, webinars and communities;
  • public relations and thought leadership;
  • influencer and creator partnerships;
  • referrals and customer advocacy.

Channel selection should follow customer behavior and economics rather than fashion. A channel is attractive when it can reach the target segment, communicate the value proposition, produce qualified demand and scale without destroying contribution margin.

A basic conversion rate is:

Conversion rate = (Number of desired conversions ÷ Number of eligible visitors or prospects) × 100%

The numerator and denominator must refer to the same period, segment and stage. For example, a purchase conversion rate should not divide purchases by social-media impressions unless the analysis explicitly concerns impression-to-purchase performance. Conversion rates across channels are comparable only when definitions and attribution rules are consistent.

2.3 Sales-led acquisition

Sales-led growth is especially relevant when products are complex, expensive, customized or purchased by committees. The process may include prospecting, qualification, discovery, demonstration, proposal, negotiation, contracting and implementation.

Sales productivity depends on more than the number of sales representatives. Important drivers include average deal size, win rate, sales-cycle length, pipeline quality, representative ramp time and implementation capacity. A high volume of poorly qualified leads can reduce productivity by consuming scarce sales attention.

A sales forecast should distinguish pipeline stages and assign probabilities based on historical evidence. The probability of closing should not be treated as an objective fact; it is an estimate that must be recalibrated as evidence accumulates.

2.4 Partnership-led acquisition

Partnerships can reduce customer-access barriers and increase trust. Examples include:

  • distribution partnerships, in which another firm sells or bundles the offering;
  • referral partnerships, in which a partner introduces potential customers;
  • technology integrations, which improve product usefulness;
  • strategic alliances, which combine capabilities;
  • channel partnerships, which provide local or specialist market access.

A partnership should specify customer ownership, lead attribution, service responsibilities, data access, revenue sharing, brand use, confidentiality, termination rights and compliance obligations. Partnerships often appear inexpensive because the partner supplies reach, but coordination, enablement and revenue-sharing costs must be included in the economic analysis.

3. Funnel Analysis and Experimentation

Funnel analysis measures the proportion of customers moving between defined stages. Suppose 10,000 people see an advertisement, 600 visit a landing page, 120 begin registration and 30 purchase. The stage conversion rates are 6%, 20%, and 25%, while the overall impression-to-purchase conversion rate is 0.3%.

The largest percentage loss is not automatically the best improvement opportunity. Managers should consider the size of the opportunity, the cost of intervention, the quality of customers produced and the stage’s causal importance. Improving a low-volume stage by 50% may produce fewer customers than modestly improving a high-volume stage.

A disciplined experiment contains:

  1. a clearly defined hypothesis;
  2. a target population and eligibility rule;
  3. a control condition;
  4. a treatment condition;
  5. a primary outcome metric;
  6. a defined observation period;
  7. a decision rule established before reviewing results.

For example, a venture may hypothesize that reducing a registration form from eight fields to four will increase completed registrations without reducing lead quality. The primary metric might be completed registration per eligible visitor, while secondary metrics monitor activation and paid conversion.

Experiments can be distorted by seasonality, simultaneous campaigns, unequal audience allocation, novelty effects and inadequate sample size. A statistically detectable improvement is not necessarily economically worthwhile. The additional contribution generated by the change should exceed implementation and opportunity costs.

4. Customer Acquisition Cost and Unit Economics

Customer acquisition cost (CAC) estimates the cost of acquiring a new customer:

CAC = Total attributable acquisition and sales cost ÷ Number of new customers acquired

The numerator may include advertising, sales compensation, commissions, agency fees, marketing software and relevant personnel costs. Organizations must state whether the calculation is fully loaded or limited to incremental spending. The denominator should count new customers, not orders, unless the business deliberately defines CAC per order.

Worked example. During one quarter, a company spends $24,000 on advertising, $12,000 on sales commissions and $9,000 on relevant marketing staff. It acquires 150 new customers.

CAC = ($24,000 + $12,000 + $9,000) ÷ 150 = $45,000 ÷ 150 = $300 per customer

CAC is meaningful only when its boundaries are clear. A blended CAC may hide the fact that one channel is profitable and another is not. Managers should therefore calculate CAC by channel, segment and period where data quality permits.

Contribution margin

Revenue is not the same as economic value. Contribution margin accounts for variable costs associated with serving customers:

Contribution margin per customer = Revenue per customer − Variable cost per customer

If a customer pays $80 per month and variable service costs are $30, monthly contribution is $50. Fixed costs such as headquarters rent are not included in this per-customer contribution calculation, although they matter for overall profitability.

A useful payback period is:

CAC payback period = CAC ÷ Monthly contribution margin per customer

This simplified formula assumes stable monthly contribution and does not include discounting, churn or expansion. With CAC of $300 and monthly contribution of $50, payback is six months. If customers commonly churn before six months, the venture may require more capital or must improve acquisition, retention, pricing or service economics.

5. Retention, Churn and Customer Lifetime Value

Acquisition without retention creates a leaking bucket. Retention measures the proportion of customers who remain active or continue purchasing. Churn measures the opposite event, but definitions differ.

For a customer-count retention measure:

Customer retention rate = (Customers at end of period − New customers acquired during period) ÷ Customers at beginning of period × 100%

This formula assumes that the population is consistently defined and that customers are not double-counted. The corresponding logo churn rate is:

Logo churn rate = Customers lost during period ÷ Customers at beginning of period × 100%

If there are 1,000 customers at the beginning of a month, 80 are lost and 120 new customers are acquired, ending customers equal 1,040. Retention is (1,040 − 120) ÷ 1,000 = 92%; churn is 80 ÷ 1,000 = 8%.

Revenue churn is different from logo churn because customers have different revenue levels. A business may lose many small customers while retaining large accounts, producing high logo churn but low revenue churn. Conversely, losing one major account can create low logo churn but severe revenue damage.

For recurring-revenue businesses, a simplified gross revenue retention measure is:

Gross revenue retention = (Beginning recurring revenue − Churned revenue − Downgrade revenue) ÷ Beginning recurring revenue × 100%

Expansion revenue is excluded from gross retention. Net revenue retention includes expansion:

Net revenue retention = (Beginning recurring revenue − Churn − Downgrades + Expansion) ÷ Beginning recurring revenue × 100%

These measures generally exclude new-customer revenue because they evaluate the health of the existing customer base.

Cohort analysis

A cohort is a group of customers sharing a starting characteristic, commonly the month of first purchase. Cohort tables track retention or revenue over time. They help distinguish real improvement from changes in the mix of newly acquired customers. For example, total retention may rise because recent customers have not yet reached the period when churn normally occurs. Cohort analysis reveals whether each successive group retains better than earlier groups.

Retention is influenced by product value, onboarding, customer support, switching costs, habit formation, reliability, price, competitive alternatives and changes in customer circumstances. Retention programs should address causes rather than merely send more reminders.

Customer lifetime value

Customer lifetime value (CLV or LTV) estimates the contribution expected from a customer over the relationship. A simplified subscription model is:

LTV ≈ (Average revenue per customer per period × Contribution margin percentage) ÷ Periodic churn rate

Here, revenue and churn must use the same period. If average monthly revenue is $100, contribution margin percentage is 70%, and monthly churn is 5%, then:

LTV ≈ ($100 × 0.70) ÷ 0.05 = $1,400

This is a steady-state approximation. It assumes approximately constant revenue, margin and churn, and an indefinitely continuing relationship represented by an expected-life approximation. It does not adequately represent prepaid contracts, changing prices, expansion, varying churn by tenure or discounting.

A more general discounted formulation is:

LTV = ∑ from t=1 to T [(Expected contribution in period t × Probability customer remains active in period t) ÷ (1 + r)t]

where t is the period, T is the forecast horizon and r is the discount rate per period. The model requires estimates and is therefore sensitive to assumptions. LTV should not be presented as a precise fact when the underlying retention data are immature.

A common diagnostic is the LTV-to-CAC relationship. If approximate LTV is $1,400 and CAC is $300, the ratio is 4.67:1. This appears attractive, but the ratio alone is insufficient. A venture can show a favorable ratio while facing an unacceptable cash-payback period, weak absolute margins, poor customer concentration or unreliable measurement.

6. Pricing and Monetization

Pricing is both a revenue decision and a positioning decision. It communicates expected value, determines access, influences demand and affects the type of customers attracted.

Pricing approaches

  • Cost-plus pricing: Adds a markup to cost. It is simple but may ignore customer value and willingness to pay.
  • Competition-based pricing: Uses competitors as reference points. It can be useful where offerings are comparable but may reinforce imitation.
  • Value-based pricing: Relates price to the economic or functional value delivered to a target segment.
  • Freemium pricing: Offers a free version and charges for additional value. It can accelerate adoption but may create high service costs and low conversion.
  • Tiered pricing: Provides packages with different features, usage limits or service levels.
  • Usage-based pricing: Charges according to consumption, such as transactions, storage or API calls.
  • Subscription pricing: Charges periodically for continuing access or service.
  • Dynamic pricing: Adjusts prices according to demand, capacity, timing or customer conditions, subject to legal and ethical constraints.

Pricing experiments should distinguish willingness to pay from mere sensitivity to a particular presentation. Tests should monitor conversion, average revenue, contribution margin, retention and customer fairness. A higher price can reduce volume while increasing total contribution; a lower price can increase adoption while attracting customers who are expensive to serve.

Monetization may occur through direct sales, subscriptions, transaction fees, advertising, licensing, commissions, usage charges, professional services or combinations of these models. The selected model should align who receives value, who pays, when payment occurs and how costs scale.

7. Product-Led Growth

Product-led growth (PLG) uses the product experience as a primary mechanism for acquisition, activation, conversion, retention and expansion. Typical mechanisms include free trials, freemium access, self-service onboarding, collaboration invitations, usage prompts and in-product upgrades.

PLG is not simply “giving the product away.” It requires a product that can communicate value quickly, support low-friction adoption and make expansion observable. A product-led organization must invest in usability, reliability, analytics, lifecycle messaging, security and customer support.

Important PLG measures include:

  • time to first value;
  • activation rate;
  • trial-to-paid conversion;
  • product-qualified leads;
  • invitation or sharing rate;
  • feature adoption;
  • retention by activation behavior;
  • expansion revenue from usage or seats.

PLG and sales-led growth are not mutually exclusive. A self-service product may create product-qualified accounts that are later contacted by enterprise sales representatives. Conversely, sales teams can improve adoption by guiding implementation. The appropriate model depends on customer complexity, price, risk, buying authority, integration requirements and service expectations.

8. Integrated Growth Strategy

An effective growth strategy aligns the following elements:

ElementCentral questionTypical evidence
SegmentWhose problem is being solved?Need, fit, reachability
Value propositionWhy should the customer act?Interviews, tests, win/loss data
ChannelHow can customers be reached efficiently?CAC, conversion, quality
ActivationWhen is value first experienced?Behavior and time-to-value
RetentionWhy do customers remain or leave?Cohorts, interviews, usage
MonetizationHow is value captured?Price, margin, expansion
CapabilityCan the system scale reliably?Capacity, automation, service quality

Growth initiatives should be prioritized using both impact and feasibility. A venture may choose to improve onboarding before increasing advertising because additional traffic would otherwise enter a weak conversion system. Alternatively, a company with excellent retention but insufficient demand may prioritize channel development.

The North Star metric is a measure of customer value that guides the organization, such as successfully completed deliveries, active teams collaborating or verified transactions. It should be supported by input metrics and constrained by guardrails. For example, increasing daily usage should not be pursued if it increases complaints, fraud, refund rates or harmful customer behavior.

9. Illustrative Case: BrightDesk Collaboration Software

Background

BrightDesk is a fictional early-stage software venture serving small professional-service firms. It provides shared project workspaces, client approvals and automated status updates. The company initially relied on paid social advertising and a 14-day free trial.

Problem

BrightDesk acquired many trial users but converted few to paid subscriptions. Management observed the following monthly data:

  • 20,000 landing-page visitors;
  • 2,000 trial registrations;
  • 600 users completing the onboarding checklist;
  • 180 paid conversions;
  • $36,000 in acquisition and sales expenditure;
  • $120 average monthly revenue per paid account;
  • 65% contribution margin;
  • 6% monthly logo churn.

Analysis

The visitor-to-trial rate is 2,000 ÷ 20,000 = 10%. Trial-to-activation is 600 ÷ 2,000 = 30%. Activation-to-paid conversion is 180 ÷ 600 = 30%. The principal early weakness is activation: 70% of trial registrants do not complete the checklist and may never experience meaningful value.

CAC is $36,000 ÷ 180 = $200 per new paid account. Monthly contribution per account is $120 × 0.65 = $78. Using the simplified LTV formula:

LTV ≈ $78 ÷ 0.06 = $1,300

The approximate LTV-to-CAC ratio is 6.5:1, but this result should be treated cautiously because the company is young and churn may vary by cohort.

Approach

BrightDesk interviews trial users and discovers that customers do not understand how to invite a client and create the first approval workflow. The company introduces a guided setup, a sample workspace, contextual help and an optional onboarding call for larger accounts. It also changes advertising to target firms already using a compatible project-management platform and forms an integration partnership with that platform’s specialist consultants.

The company defines activation as “one project created, one client invited and one approval completed.” It tracks activation by acquisition source and cohort rather than relying only on total trial registrations.

Outcome

In the next three cohorts, activation rises from 30% to 48%, while paid conversion among activated accounts remains approximately 30%. If traffic and trial registrations remain constant, expected paid conversions become:

2,000 × 0.48 × 0.30 = 288 paid accounts

This is an illustrative projection, not a guaranteed result. It assumes unchanged traffic, trial registration and activated-to-paid conversion. If acquisition spending remains $36,000, projected CAC becomes $36,000 ÷ 288 = $125. The business must still verify whether the new customers retain and whether onboarding costs offset the gain.

Learning points

  1. More traffic was not the first solution; activation was the binding constraint.
  2. A precise activation definition made the problem measurable.
  3. Partnerships can improve both reach and customer fit.
  4. CAC and LTV are useful only when linked to cohort, margin and retention evidence.
  5. A projected improvement must be tested rather than treated as an achieved outcome.

10. Challenges, Ethics and Governance

Growth strategies create risks as well as opportunities. Misleading scarcity, hidden fees, dark patterns, difficult cancellation procedures and manipulative notifications can increase short-term conversion while damaging trust and violating consumer-protection rules. Consent for marketing communication and personal-data processing must be obtained and documented according to applicable law.

Organizations should apply data minimization, access controls, retention limits and appropriate security practices. Customer data should not be used for purposes that customers could not reasonably expect. Algorithmic targeting can reproduce discrimination when historical data reflect unequal treatment. Pricing systems may also create unfair outcomes through opaque personalization or differential treatment of vulnerable customers.

Attribution creates another governance challenge. Multiple channels influence a purchase, and a last-click model may over-credit the final interaction while undervaluing earlier education or referrals. Managers should treat attribution as an analytical model with assumptions, not as an unquestionable record of causation.

AI can support segmentation, content drafting, lead scoring, customer-service triage and churn-risk analysis. However, AI outputs require human oversight because models may use biased data, expose confidential information, generate inaccurate claims or make opaque recommendations. Automated retention interventions should offer meaningful customer choice and should not exploit behavioral vulnerabilities.

Operational scaling also creates quality risks. Rapid acquisition can overload support teams, reduce service reliability and increase refunds. Growth should therefore be constrained by guardrail metrics such as complaint rate, response time, security incidents, refund rate, service availability and customer satisfaction.

11. Best Practices for Entrepreneurs

  • Define every funnel stage and metric before collecting data.
  • Separate acquisition metrics from retention and monetization metrics.
  • Analyze cohorts rather than relying only on aggregate averages.
  • Calculate CAC using transparent cost and customer definitions.
  • Use contribution margin, not revenue alone, in payback decisions.
  • Treat LTV as an estimate with explicit assumptions and sensitivity analysis.
  • Improve activation and retention before buying more traffic when evidence shows a leaky experience.
  • Match channel design to customer behavior and buying complexity.
  • Document partnership economics, responsibilities and data rights.
  • Test pricing with attention to margin, retention, fairness and customer value.
  • Combine product-led and sales-led methods when the customer journey requires both.
  • Use ethical safeguards and guardrail metrics to prevent harmful optimization.

Chapter Summary

Sustainable revenue growth is an integrated system linking customer acquisition, activation, retention, expansion and advocacy. Marketing, sales and partnerships are alternative or complementary routes to demand; their effectiveness depends on customer fit, channel economics and execution capability. Funnel analysis identifies movement and loss between stages, while experimentation provides a disciplined method for improving performance.

CAC measures the cost of acquiring customers, but its interpretation requires clear boundaries and segmentation. Retention and churn should be defined consistently and analyzed through cohorts. LTV connects revenue, contribution margin and expected relationship duration, although simplified formulas depend on strong assumptions. Pricing and monetization determine how value is captured and should be evaluated through conversion, margin, retention and fairness.

Product-led growth uses the product experience to drive acquisition and expansion, but it requires fast time-to-value, reliable analytics and strong product quality. Finally, growth must be governed ethically: privacy, truthful communication, fair pricing, responsible AI and operational capacity are conditions of durable growth rather than optional additions.

Key Terms

Customer acquisition cost (CAC): Average attributable cost required to acquire one new customer.

Customer lifetime value (LTV): Estimated contribution generated by a customer over the relationship.

Activation: The point at which a customer first experiences meaningful product value.

Retention: The continuation of customer use or purchasing over a defined period.

Churn: Loss of customers or recurring revenue during a defined period.

Logo churn: Churn measured by number of customer accounts.

Revenue churn: Churn measured by lost recurring revenue.

Cohort: A group of customers sharing a defined starting characteristic.

Conversion rate: Percentage of eligible prospects completing a specified action.

Funnel: A staged model showing movement from awareness to purchase and continued use.

Contribution margin: Revenue remaining after variable costs.

Payback period: Time required for contribution to recover acquisition cost.

Value proposition: Explanation of the customer problem, promised outcome and credibility of the offering.

Partnership-led growth: Growth generated through alliances, referrals, integrations or distribution partners.

Product-led growth: Growth in which product usage drives acquisition, conversion, retention or expansion.

Freemium: A model offering a basic free version and charging for additional value.

Net revenue retention: Existing-customer revenue retained plus expansion, relative to beginning revenue.

North Star metric: A central measure intended to represent customer value and guide growth activity.

Dark pattern: An interface or practice designed to manipulate users into actions they may not otherwise choose.

Review Questions

Short Answer Questions

  1. What is the difference between activation and conversion?
  2. Why should CAC be calculated by channel where possible?
  3. Distinguish logo churn from revenue churn.
  4. What is the purpose of cohort analysis?
  5. State two characteristics of product-led growth.

Long Answer Questions

  1. Explain how marketing, sales and partnerships can operate as complementary growth engines.
  2. Discuss the assumptions and limitations of the simplified LTV formula.
  3. Explain how pricing affects acquisition, retention and revenue growth.
  4. Compare sales-led growth with product-led growth for a complex B2B product.
  5. Discuss the ethical and governance risks associated with data-driven growth.

Analytical / Application Questions

  1. A venture spends $18,000 on marketing and sales and acquires 90 customers. Each customer produces $60 monthly contribution, and monthly churn is 4%. Calculate CAC, approximate LTV using the simplified formula, and the LTV-to-CAC ratio. Interpret the result cautiously.
  2. A funnel has 50,000 visitors, 5,000 registrations, 1,000 activated users and 200 paid customers. Calculate each stage conversion rate and identify a plausible priority for investigation.
  3. Design an experiment for a subscription business whose trial-to-paid conversion is low. State the hypothesis, control, treatment, primary metric and at least two guardrail metrics.

Multiple Choice Questions with Answers

Question 1

Which measure is most directly concerned with the percentage of customers who continue using a service during a period?

A. Customer retention rate

B. Customer acquisition cost

C. Average selling price

D. Impression share

Correct Answer: A. Customer retention rate

Question 2

A company spends $12,000 acquiring 60 new customers. What is its CAC?

A. $72

B. $120

C. $200

D. $720

Correct Answer: C. $200

Question 3

Which activity is most characteristic of product-led growth?

A. Requiring a sales representative to approve every trial

B. Using product usage and self-service onboarding to encourage conversion

C. Relying exclusively on television advertising

D. Setting prices solely from historical costs

Correct Answer: B. Using product usage and self-service onboarding to encourage conversion

Question 4

Beginning recurring revenue is $100,000, churn is $8,000, downgrades are $2,000 and expansion is $15,000. What is net revenue retention?

A. 85%

B. 90%

C. 105%

D. 115%

Correct Answer: C. 105%

Question 5

Which statement about the simplified subscription LTV formula is correct?

A. It assumes revenue and churn are measured in unrelated periods

B. It uses contribution rather than revenue alone and assumes relatively stable conditions

C. It applies only to one-time retail purchases

D. It automatically accounts for changing prices and cohort-specific churn

Correct Answer: B. It uses contribution rather than revenue alone and assumes relatively stable conditions

Question 6

Why is cohort analysis valuable?

A. It eliminates the need to define retention

B. It shows whether customer groups beginning at different times behave differently

C. It guarantees that attribution is causal

D. It measures only advertising impressions

Correct Answer: B. It shows whether customer groups beginning at different times behave differently

Question 7

A company has $300 CAC and $50 monthly contribution per customer. Under the simple constant-contribution assumption, the CAC payback period is:

A. 3 months

B. 5 months

C. 6 months

D. 15 months

Correct Answer: C. 6 months

Question 8

Which is a partnership-governance issue that should normally be documented?

A. The partner's preferred office furniture

B. Customer ownership, attribution and revenue sharing

C. The founder's personal hobbies

D. Unrelated market rumors

Correct Answer: B. Customer ownership, attribution and revenue sharing

Question 9

Which metric is an appropriate guardrail for a growth experiment?

A. Complaint rate

B. Number of internal meetings

C. Office square footage

D. Logo color preference

Correct Answer: A. Complaint rate

Question 10

A funnel receives 10,000 visitors and produces 250 purchases. What is the overall visitor-to-purchase conversion rate?

A. 0.25%

B. 2.5%

C. 4.0%

D. 25%

Correct Answer: B. 2.5%

Growth & Scaling Strategies
Chapter 6 of 14