Marketing Quiz: Digital Marketing Metrics
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Digital Marketing MetricsQuestion 1 of 20

Following the widespread adoption of new mobile OS privacy features that limit ad tracking across apps and websites, a performance marketing team observes several changes in their campaign reporting dashboards. Even if underlying user behavior remains unchanged, which metric is most likely to be directly and negatively skewed in the reports?

Click-Through Rate (CTR)
Reported Customer Acquisition Cost (CAC)
Customer Lifetime Value (LTV)
Cost Per Mille (CPM)
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Marketing Quiz

Marketing Quiz: Digital Marketing Metrics

Practice Digital Marketing Metrics in Marketing with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

What this quiz covers

This quiz focuses on Digital Marketing Metrics, giving you a quick way to practice the rules, question types, and explanations that matter most for Marketing.

How to use this quiz

Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.

All questions

Question 1

Following the widespread adoption of new mobile OS privacy features that limit ad tracking across apps and websites, a performance marketing team observes several changes in their campaign reporting dashboards. Even if underlying user behavior remains unchanged, which metric is most likely to be directly and negatively skewed in the reports?

  1. Click-Through Rate (CTR)
  2. Reported Customer Acquisition Cost (CAC) (correct answer)
  3. Customer Lifetime Value (LTV)
  4. Cost Per Mille (CPM)
Explanation: Privacy features that limit tracking make attribution—the process of connecting a conversion (like a purchase or signup) back to the specific ad that drove it—much more difficult. This means that many conversions that are actually happening will not be reported by the ad platform. CAC = (Total Ad Spend) / (Number of Reported New Customers). If Total Ad Spend stays the same but the Number of Reported New Customers goes down due to attribution loss, the calculated CAC will artificially increase. Therefore, the reported CAC will be negatively skewed (it will look worse than it actually is). CTR (A) is less affected because a click is an on-platform event that is easy to track. LTV (C) is a longer-term metric often calculated with internal data, and CPM (D) is a measure of ad cost, not performance, so they are less directly impacted by conversion tracking issues.

Question 2

An e-commerce company runs an A/B test on a display ad to promote a new product. The landing page and offer are identical for both versions of the ad. Ad A uses a lifestyle image, while Ad B uses a product-focused image. The campaign goal is to maximize sales of the new product.

  • Ad A (Lifestyle): 20,000 impressions, 1,000 clicks, 20 conversions.
  • Ad B (Product-focused): 20,000 impressions, 400 clicks, 16 conversions.

Based on the A/B test results, which conclusion is the most accurate?

  1. Ad A is more effective because its Click-Through Rate (CTR) is significantly higher, indicating greater user engagement.
  2. Ad B is more effective because its Conversion Rate is higher, indicating it attracts a more qualified audience. (correct answer)
  3. Ad A is more effective because it generated a higher absolute number of conversions.
  4. The test is inconclusive as both ads led to the same landing page and had different conversion rates.
Explanation: The question requires calculating and interpreting both CTR and Conversion Rate (CR) to determine true effectiveness based on the stated goal (maximize sales).
  • Ad A Analysis:
    • CTR = (1,000 clicks / 20,000 impressions) = 5%
    • CR = (20 conversions / 1,000 clicks) = 2%
  • Ad B Analysis:
    • CTR = (400 clicks / 20,000 impressions) = 2%
    • CR = (16 conversions / 400 clicks) = 4%
Although Ad A generated more raw conversions (20 vs. 16), Ad B was more efficient at turning traffic into sales (4% CR vs. 2% CR). This suggests that while Ad A's lifestyle image was more broadly appealing (higher CTR), Ad B's product focus attracted visitors with a higher purchase intent. For optimizing future ad spend, understanding which creative drives more qualified traffic (higher CR) is more valuable. Distractor C is tempting because of the higher absolute conversions, but it overlooks the efficiency and quality of the traffic, which is what A/B tests aim to identify. Distractor A focuses on a vanity metric (CTR) without considering the ultimate business goal.

Question 3

A SaaS company's Customer Acquisition Cost (CAC) is $360. The average customer generates $40 in profit (revenue minus variable costs) for the company each month. What is the CAC Payback Period, and what does this metric signify?

  1. 9 months; this is the total amount of time the average customer will remain subscribed.
  2. 9 months; this is the time required for a new customer to generate enough profit to cover their acquisition cost. (correct answer)
  3. 11.1%; this is the monthly return on investment from the customer.
  4. 11.1 months; this is the break-even point for the entire marketing department's budget.
Explanation: The CAC Payback Period is the time it takes for a company to earn back the money it spent to acquire a customer. It is calculated by dividing the CAC by the periodic profit generated by that customer. Calculation: Payback Period = CAC / Monthly Profit per Customer = $360 / $40/month = 9 months. This means the company operates at a 'loss' on that customer for 9 months, and only after this period does the customer become profitable. This is a critical metric for cash flow management in subscription businesses. Distractor (A) incorrectly defines the payback period as the customer lifespan. Distractor (C) calculates the inverse (40/360) and mislabels it as ROI. Distractor (D) incorrectly applies the customer-level metric to the entire department budget.

Question 4

An e-commerce website received 50,000 unique visitors last month, who generated a total of 80,000 sessions. During this period, the site processed 2,400 transactions. To measure the effectiveness of the website experience in converting visits into sales, what is the session-based e-commerce conversion rate?

  1. 4.8%
  2. 3.0% (correct answer)
  3. 1.6%
  4. 62.5%
Explanation: The standard definition for e-commerce conversion rate on platforms like Google Analytics is based on sessions (or visits), as each session represents an opportunity to convert. The formula is (Number of Transactions / Number of Sessions) × 100. Calculation: (2,400 Transactions / 80,000 Sessions) × 100 = 0.03 × 100 = 3.0%. Distractor A (4.8%) is the user-based conversion rate (2,400 / 50,000), which is a different, though also valid, metric. The question specifically asks for a measure of how well visits convert. Distractor C (1.6%) is an incorrect calculation. Distractor D (62.5%) is the ratio of unique visitors to sessions (50,000 / 80,000), which is not a conversion rate.

Question 5

A digital marketing campaign for a well-established brand is generating a high number of impressions but a Click-Through Rate (CTR) that is significantly below the industry benchmark. The ad creative and copy are considered to be high quality and on-brand. Which of the following is the most likely cause for the low CTR?

  1. A poorly designed landing page that is slow to load.
  2. The call-to-action on the landing page is not compelling.
  3. Inaccurate audience targeting or an insufficient bidding strategy. (correct answer)
  4. High price point of the product being advertised.
Explanation: CTR measures the ratio of clicks to impressions. It is a direct measure of how relevant and appealing an ad is to the audience it's shown to. Since the creative and copy are stated to be high quality, the issue is not likely with the ad itself. A low CTR in this context points to a mismatch between the ad and the audience (inaccurate targeting) or the ad not being shown in prominent positions due to a low bid strategy. The other options affect post-click metrics: a poor landing page (A, B) would decrease the conversion rate, and a high price point (D) would also negatively impact the conversion rate, not the initial click-through rate.

Question 6

A company has a target Customer Acquisition Cost (CAC) of $600. The sales team's historical data shows that they convert 25% of qualified leads into customers. To stay within the overall CAC goal, what is the maximum Cost Per Lead (CPL) the marketing team can have?

  1. $150 (correct answer)
  2. $2,400
  3. $600
  4. $750
Explanation: This problem requires working backward from the target CAC and the sales conversion rate.
  1. Determine how many leads are needed to get one customer: If the conversion rate is 25% (or 1/4), then for every 1 customer, the sales team needs 4 leads (1 / 0.25 = 4).
  2. Distribute the total allowable CAC across the required leads: The total cost to acquire those 4 leads must not exceed the target CAC of $600. Maximum Cost Per Lead (CPL) = Total Target CAC / Number of leads needed per customer Maximum CPL = $600 / 4 = $150.
Distractors represent common errors: $2,400 (B) is from incorrectly multiplying $600 by 4. $600 (C) incorrectly assumes the CPL is the same as the CAC. $750 (D) might result from an incorrect calculation like $600 * 1.25.

Question 7

A marketing analyst reports that the company's overall website conversion rate increased from 2.0% to 2.5% last month. To properly assess the bottom-line business impact of this change, what additional metric is most critical?

  1. The change in the website's bounce rate.
  2. The click-through rate of the campaigns driving traffic to the site.
  3. The change in total website sessions or average order value. (correct answer)
  4. The benchmark conversion rate for the industry.
Explanation: An increase in conversion rate is a positive sign of efficiency, but it doesn't tell the whole story about business impact. If the conversion rate increased to 2.5% but total website sessions dropped by 50%, the absolute number of conversions would decrease. Similarly, if the conversion rate increased but the average order value (AOV) of those conversions fell significantly, total revenue could decline. Therefore, to understand the bottom-line impact, you must contextualize the rate change with the volume (sessions) and value (AOV) of conversions. Bounce rate (A) is a diagnostic metric that might explain why CR changed, but not its ultimate impact. CTR (B) is a top-of-funnel metric. Industry benchmarks (D) are useful for comparison but don't help assess the internal business impact of the specific change.

Question 8

Company X and Company Y operate in the same industry and have an identical revenue-based Customer Lifetime Value (LTV) of $1,000. However, Company X has a gross margin of 80%, while Company Y has a gross margin of 50%. Assuming both companies want to maintain a healthy LTV:CAC ratio of at least 3:1, which statement is true?

  1. Both companies can afford the same maximum Customer Acquisition Cost (CAC).
  2. Company Y can afford a higher CAC because its lower margin necessitates higher sales volume.
  3. Company X can afford a higher CAC because its profit per customer is greater. (correct answer)
  4. It is impossible to determine who can afford a higher CAC without knowing their marketing budgets.
Explanation: The most sophisticated use of the LTV:CAC ratio uses a profit-based LTV, not a revenue-based one. Let's calculate the profit-based LTV for each company:
  • Company X Profit LTV: $1,000 (Revenue LTV) * 80% (Margin) = $800
  • Company Y Profit LTV: $1,000 (Revenue LTV) * 50% (Margin) = $500
To maintain a 3:1 LTV:CAC ratio, the maximum CAC is LTV/3.
  • Company X Max CAC: $800 / 3 ≈ $267
  • Company Y Max CAC: $500 / 3 ≈ $167
Because Company X has a higher gross margin, it generates more profit from the same amount of revenue over a customer's lifetime. Therefore, it can afford to spend more to acquire that customer while maintaining the same level of profitability, as defined by the LTV:CAC ratio.

Question 9

A company's marketing funnel performance for a specific campaign is as follows:

  • 1,000,000 Ad Impressions
  • 20,000 Clicks to Landing Page
  • 800 Leads (form submissions)
  • 80 New Customers

An analysis of this funnel reveals a significant drop-off between two specific stages, suggesting a key area for optimization. This drop-off indicates a probable misalignment between the ad's promise and the landing page's offer. Between which two steps is this problem most evident?

  1. Ad Impressions and Clicks to Landing Page
  2. Clicks to Landing Page and Leads (correct answer)
  3. Leads and New Customers
  4. Ad Impressions and New Customers
Explanation: To identify the biggest problem area, we should calculate the conversion rate at each stage:
  • CTR (Impressions → Clicks): 20,000 / 1,000,000 = 2%. This is a reasonable CTR for many display campaigns.
  • Landing Page Conversion Rate (Clicks → Leads): 800 / 20,000 = 4%. This is the rate at which visitors convert into leads.
  • Lead-to-Customer Rate (Leads → Customers): 80 / 800 = 10%. This is the sales closing rate.
The statement suggests a mismatch between the ad and the landing page. This would manifest as people clicking the ad (showing interest) but then failing to convert once they see the landing page. This corresponds to the rate between Clicks and Leads. A 4% conversion rate on the landing page might be acceptable, but if the problem is a mismatch, this is where it would appear. The drop from 20,000 clicks to only 800 leads is the most significant point of friction in the user journey described, directly reflecting the landing page's effectiveness.

Question 10

A marketing team sent a promotional email campaign to 50,000 subscribers. The campaign report shows an open rate of 20% and a click-to-open rate (CTOR) of 15%. What was the overall Click-Through Rate (CTR) of the campaign, calculated as (total clicks / total emails sent)?

  1. 3% (correct answer)
  2. 20%
  3. 15%
  4. 7.5%
Explanation: Email marketing metrics can be confusing because they build on each other in a specific hierarchy. When you see questions about open rates, click-through rates, and click-to-open rates, you need to understand how each metric relates to the total audience versus the subset who actually opened the email. To find the overall Click-Through Rate (CTR), you calculate total clicks divided by total emails sent. Start with what you know: 50,000 emails were sent with a 20% open rate, meaning 10,000 people opened the email. The click-to-open rate (CTOR) of 15% tells you that 15% of those who opened the email actually clicked, which equals 1,500 people (15% × 10,000). Therefore, CTR = 1,500 clicks ÷ 50,000 emails sent = 0.03 = 3%. Answer A (3%) is correct because it properly calculates clicks as a percentage of the total emails sent. Answer B (20%) incorrectly uses the open rate instead of calculating actual clicks. Answer C (15%) confuses CTR with CTOR—this would be correct if the question asked for click-to-open rate, but CTR measures against the entire audience, not just openers. Answer D (7.5%) appears to split the difference between open rate and CTOR, but there's no mathematical basis for this figure. Remember this hierarchy: CTR always uses total emails sent as the denominator, while CTOR uses only opened emails. CTR will always be lower than CTOR because it's measuring against the larger original audience.

Question 11

A marketing manager needs to present an improved Customer Acquisition Cost (CAC) for the quarter to senior leadership. Which of the following tactics would lower the reported CAC without reflecting a genuine improvement in marketing efficiency or a reduction in actual costs?

  1. Shifting a portion of the budget from high-cost PPC ads to a lower-cost organic SEO strategy.
  2. Negotiating lower rates with advertising vendors to reduce cost-per-click across all campaigns.
  3. Refining ad targeting parameters to reach audiences with a higher propensity to convert.
  4. Changing the attribution model from a 30-day click window to a 90-day click window. (correct answer)
Explanation: CAC is calculated as Costs / New Customers. To lower this ratio, one can decrease costs or increase the number of attributed customers. Options A, B, and C are all legitimate strategies to improve marketing efficiency, either by lowering costs or increasing conversion rates. Option D, however, manipulates the calculation. By extending the attribution window from 30 to 90 days, the manager can claim credit for customers who clicked an ad up to three months ago. This increases the denominator (New Customers) in the CAC formula for the current period's spend, thus lowering the reported CAC without any change in actual marketing performance or efficiency.

Question 12

A marketing team discovers that their company's overall average Customer Lifetime Value (LTV) is $450. However, a deeper analysis reveals that customers acquired through organic search have an LTV of $800, while customers from paid social media campaigns have an LTV of $250. The Customer Acquisition Cost (CAC) is roughly similar for both channels. What is the most strategically sound action based on this insight?

  1. Increase investment in Search Engine Optimization (SEO) and content marketing to attract more high-value customers. (correct answer)
  2. Cease all paid social media advertising because it acquires customers with a lower LTV.
  3. Combine the channel data and use the blended average LTV of $450 for all future financial planning.
  4. Increase ad spend on paid social media to try and attract higher-value customers from that channel.
Explanation: When you encounter Customer Lifetime Value (LTV) and Customer Acquisition Cost (CAC) analysis questions, focus on identifying which channels deliver the highest return on investment and how to optimize your marketing mix accordingly. The data reveals a significant performance gap between acquisition channels. Organic search customers generate an LTV of $800 compared to $250 from paid social media, while CAC remains similar across both channels. This means organic search delivers more than three times the long-term value per customer acquired. Option A is strategically sound because investing in SEO and content marketing will attract more of these high-value organic search customers. Since the CAC is similar but the LTV is dramatically higher, this channel offers superior return on investment and should receive increased resources. Option B is too extreme—completely eliminating paid social ignores its potential role in a diversified acquisition strategy and brand awareness, even if individual customer value is lower. Option C makes a critical analytical error by blending distinct channel performance into an average, which masks the superior performance of organic search and prevents strategic optimization. Option D attempts to force paid social to perform like organic search, but the fundamental difference in customer intent and behavior between these channels means this approach is unlikely to succeed. Remember this key principle: when analyzing marketing channels, always examine performance metrics separately before making strategic decisions. Blended averages can hide your best and worst performing channels, preventing you from optimizing your marketing investment allocation.

Question 13

A marketing team is running a lead generation campaign where the primary goal is to encourage visitors to download a detailed industry whitepaper by filling out a form. The campaign drives traffic to a specific landing page featuring the whitepaper. For the purpose of evaluating the landing page's effectiveness against its primary goal, how should 'Conversion Rate' be defined?

  1. The percentage of campaign impressions that result in a form submission.
  2. The percentage of landing page visitors who click the 'download' button.
  3. The percentage of landing page visitors who successfully submit the form. (correct answer)
  4. The percentage of new leads who eventually become paying customers.
Explanation: A 'conversion' is the successful completion of a desired goal. For this specific campaign and landing page, the goal is a form submission for the whitepaper. Therefore, the conversion rate should measure the efficiency of the page in achieving that goal. Calculation: (Number of Form Submissions / Number of Landing Page Visitors) × 100. Distractor (A) is incorrect because it uses impressions as the denominator, which would be a measure of the entire campaign's efficiency (impression-to-lead rate), not just the landing page. Distractor (B) is incomplete; a click on the button isn't a conversion if the user abandons the form. Distractor (D) measures a downstream, sales-funnel metric (lead-to-customer rate), not the conversion rate of the landing page itself.

Question 14

A direct-to-consumer startup has been operating for only seven months. The leadership team wants to calculate the Customer Lifetime Value (LTV) to include in a pitch to potential investors. What represents the most significant challenge in calculating a reliable LTV for this company?

  1. Calculating the total marketing spend over such a short period is often difficult.
  2. It is difficult to accurately calculate the average order value with an incomplete sales history.
  3. The company's gross margin is likely to be too unstable to use in the LTV formula.
  4. Accurately estimating the 'average customer lifespan' is difficult as most customers have not yet churned. (correct answer)
Explanation: LTV = (Average Purchase Value × Average Purchase Frequency) × Average Customer Lifespan. For a young company, the most difficult variable to determine is the average customer lifespan. With only seven months of data, there is not enough history to know how long customers will stay. Most customers acquired are likely still active, so a historical lifespan cannot be calculated. While predictive methods using the churn rate can be used (Lifespan = 1 / Churn Rate), the churn rate itself is likely to be volatile and unreliable with such a limited dataset. The other elements, such as marketing spend (A), average order value (B), and gross margin (C), are typically known and can be calculated accurately even in the early stages.

Question 15

An e-commerce company runs an A/B test on a display ad to promote a new product. The landing page and offer are identical for both versions of the ad. Ad A uses a lifestyle image, while Ad B uses a product-focused image. The campaign goal is to maximize sales of the new product.

  • Ad A (Lifestyle): 20,000 impressions, 1,000 clicks, 20 conversions.
  • Ad B (Product-focused): 20,000 impressions, 400 clicks, 16 conversions.

Based on the A/B test results, which conclusion is the most accurate?

  1. Ad A is more effective because its Click-Through Rate (CTR) is significantly higher, indicating greater user engagement.
  2. Ad B is more effective because its Conversion Rate is higher, indicating it attracts a more qualified audience. (correct answer)
  3. Ad A is more effective because it generated a higher absolute number of conversions.
  4. The test is inconclusive as both ads led to the same landing page and had different conversion rates.
Explanation: The question requires calculating and interpreting both CTR and Conversion Rate (CR) to determine true effectiveness based on the stated goal (maximize sales).
  • Ad A Analysis:
    • CTR = (1,000 clicks / 20,000 impressions) = 5%
    • CR = (20 conversions / 1,000 clicks) = 2%
  • Ad B Analysis:
    • CTR = (400 clicks / 20,000 impressions) = 2%
    • CR = (16 conversions / 400 clicks) = 4%
Although Ad A generated more raw conversions (20 vs. 16), Ad B was more efficient at turning traffic into sales (4% CR vs. 2% CR). This suggests that while Ad A's lifestyle image was more broadly appealing (higher CTR), Ad B's product focus attracted visitors with a higher purchase intent. For optimizing future ad spend, understanding which creative drives more qualified traffic (higher CR) is more valuable. Distractor C is tempting because of the higher absolute conversions, but it overlooks the efficiency and quality of the traffic, which is what A/B tests aim to identify. Distractor A focuses on a vanity metric (CTR) without considering the ultimate business goal.

Question 16

A marketing analyst reports that the company's overall website conversion rate increased from 2.0% to 2.5% last month. To properly assess the bottom-line business impact of this change, what additional metric is most critical?

  1. The change in the website's bounce rate.
  2. The click-through rate of the campaigns driving traffic to the site.
  3. The change in total website sessions or average order value. (correct answer)
  4. The benchmark conversion rate for the industry.
Explanation: An increase in conversion rate is a positive sign of efficiency, but it doesn't tell the whole story about business impact. If the conversion rate increased to 2.5% but total website sessions dropped by 50%, the absolute number of conversions would decrease. Similarly, if the conversion rate increased but the average order value (AOV) of those conversions fell significantly, total revenue could decline. Therefore, to understand the bottom-line impact, you must contextualize the rate change with the volume (sessions) and value (AOV) of conversions. Bounce rate (A) is a diagnostic metric that might explain why CR changed, but not its ultimate impact. CTR (B) is a top-of-funnel metric. Industry benchmarks (D) are useful for comparison but don't help assess the internal business impact of the specific change.

Question 17

A mobile gaming app monetizes through both a monthly subscription and one-time in-app purchases. The company wants to calculate its profit-based Customer Lifetime Value (LTV). Given the following average user data, what is the LTV?

  • Monthly subscription revenue: $5.00
  • Monthly in-app purchase revenue: $3.00
  • Gross margin on all revenue: 60%
  • Monthly user churn rate: 20%
  1. $24.00 (correct answer)
  2. $40.00
  3. $15.00
  4. $25.00
Explanation: This is a multi-step LTV calculation that requires combining revenue streams, calculating customer lifetime, and applying the gross margin.
  1. Calculate total average monthly revenue per user: $5.00 (subscription) + $3.00 (in-app purchases) = $8.00
  2. Calculate average customer lifetime in months: Lifetime = 1 / Monthly Churn Rate = 1 / 0.20 = 5 months
  3. Calculate total revenue LTV (before margin): Total Revenue LTV = Avg. Monthly Revenue × Lifetime = $8.00 × 5 months = $40.00
  4. Calculate profit-based LTV (by applying gross margin): Profit LTV = Total Revenue LTV × Gross Margin = $40.00 × 60% = $24.00
The distractors represent common errors: $40.00 (B) is the revenue-based LTV, ignoring the gross margin. 15.00(C)resultsfromusingonlythesubscriptionrevenueinthecalculation(15.00 (C) results from using only the subscription revenue in the calculation (5 * 5 months * 60%). $25.00 (D) might result from incorrectly calculating lifetime or another misstep.

Question 18

Company X and Company Y operate in the same industry and have an identical revenue-based Customer Lifetime Value (LTV) of $1,000. However, Company X has a gross margin of 80%, while Company Y has a gross margin of 50%. Assuming both companies want to maintain a healthy LTV:CAC ratio of at least 3:1, which statement is true?

  1. Both companies can afford the same maximum Customer Acquisition Cost (CAC).
  2. Company Y can afford a higher CAC because its lower margin necessitates higher sales volume.
  3. Company X can afford a higher CAC because its profit per customer is greater. (correct answer)
  4. It is impossible to determine who can afford a higher CAC without knowing their marketing budgets.
Explanation: The most sophisticated use of the LTV:CAC ratio uses a profit-based LTV, not a revenue-based one. Let's calculate the profit-based LTV for each company:
  • Company X Profit LTV: $1,000 (Revenue LTV) * 80% (Margin) = $800
  • Company Y Profit LTV: $1,000 (Revenue LTV) * 50% (Margin) = $500
To maintain a 3:1 LTV:CAC ratio, the maximum CAC is LTV/3.
  • Company X Max CAC: $800 / 3 ≈ $267
  • Company Y Max CAC: $500 / 3 ≈ $167
Because Company X has a higher gross margin, it generates more profit from the same amount of revenue over a customer's lifetime. Therefore, it can afford to spend more to acquire that customer while maintaining the same level of profitability, as defined by the LTV:CAC ratio.

Question 19

A marketing manager needs to present an improved Customer Acquisition Cost (CAC) for the quarter to senior leadership. Which of the following tactics would lower the reported CAC without reflecting a genuine improvement in marketing efficiency or a reduction in actual costs?

  1. Shifting a portion of the budget from high-cost PPC ads to a lower-cost organic SEO strategy.
  2. Negotiating lower rates with advertising vendors to reduce cost-per-click across all campaigns.
  3. Refining ad targeting parameters to reach audiences with a higher propensity to convert.
  4. Changing the attribution model from a 30-day click window to a 90-day click window. (correct answer)
Explanation: CAC is calculated as Costs / New Customers. To lower this ratio, one can decrease costs or increase the number of attributed customers. Options A, B, and C are all legitimate strategies to improve marketing efficiency, either by lowering costs or increasing conversion rates. Option D, however, manipulates the calculation. By extending the attribution window from 30 to 90 days, the manager can claim credit for customers who clicked an ad up to three months ago. This increases the denominator (New Customers) in the CAC formula for the current period's spend, thus lowering the reported CAC without any change in actual marketing performance or efficiency.

Question 20

An e-commerce website received 50,000 unique visitors last month, who generated a total of 80,000 sessions. During this period, the site processed 2,400 transactions. To measure the effectiveness of the website experience in converting visits into sales, what is the session-based e-commerce conversion rate?

  1. 4.8%
  2. 3.0% (correct answer)
  3. 1.6%
  4. 62.5%
Explanation: The standard definition for e-commerce conversion rate on platforms like Google Analytics is based on sessions (or visits), as each session represents an opportunity to convert. The formula is (Number of Transactions / Number of Sessions) × 100. Calculation: (2,400 Transactions / 80,000 Sessions) × 100 = 0.03 × 100 = 3.0%. Distractor A (4.8%) is the user-based conversion rate (2,400 / 50,000), which is a different, though also valid, metric. The question specifically asks for a measure of how well visits convert. Distractor C (1.6%) is an incorrect calculation. Distractor D (62.5%) is the ratio of unique visitors to sessions (50,000 / 80,000), which is not a conversion rate.