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Use the Online Consumer Purchasing Model, Figure 6.11 in Chapter 6, to assess the effectiveness of an e-mail campaign at a small website devoted to the sales of apparel to the young adult market (ages 18–26) in the United States. Assume a marketing campaign of 100,000 e-mails (at $0.25 per e-mail address). The expected click-through rate is 5%, the customer conversion rate is 10%, and the loyal customer retention rate is 25%. The average sale is $60, and the profit margin is 50% (the cost of the goods is $30). Does the campaign produce a profit? What advise could you provide in order to increase the number of purchases and loyal customers? What do you think could be some web design factors? What communications messages?

User Areim
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Profit: Yes, the campaign generates a profit of $5,000. Advice: Focus on improving click-through, conversion, and retention rates. Web Design: Prioritize mobile-friendliness, clear navigation, and trust signals. Communication: Personalize messages, highlight value, and create urgency.

Calculate Revenue:

Click-throughs: 100,000 emails * 5% = 5,000 clicks

Conversions: 5,000 clicks * 10% = 500 purchases

Revenue: 500 purchases * $60/purchase = $30,000

Calculate Costs:

Email campaign cost: 100,000 emails * $0.25/email = $25,000

Calculate Profit:

Profit margin: 50%

Profit per purchase: 50% * $60 = $30

Total profit: 500 purchases * $30/purchase - $25,000 = $5,000

Advice for Improvement:

- Increase click-through rate:

- Personalized subject lines

- Eye-catching visuals

- Targeted offers

- Increase conversion rate:

- Strong product descriptions and reviews

- User-friendly checkout process

- Free shipping or discounts

- Increase loyal customer retention:

- Loyalty programs

- Personalized recommendations

- Post-purchase follow-up

Web Design Factors:

Mobile-friendly website

High-quality product images

Easy navigation and search

Trust signals and secure payment options

Communication Messages:

Emphasize value and unique selling points

Use clear and concise language

Offer urgency and scarcity incentives

Personalize communication based on customer data

User IBRAHIM ALI MUSAH
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