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Email Marketing Optimization for a Fashion E-Shop

labut dataswans

Client

E-shop with fashion clothing and accessories focused on young adults

Goal

Increase the open rate and click-through rate (CTR) of email campaigns while maximizing conversions through personalized email communication.


Problem

The client recorded a low email open rate (15%) and a low click-through rate (2%). Email campaigns were not personalized and sent to a segmented audience, leading to low customer engagement.


Solution

1. Audit and analysis of existing campaigns:

  • Reevaluation of the design and content of emails.
  • Identification of deliverability issues and sending frequency.

2. Database segmentation:

  • Dividing contacts by demographics, purchasing behavior, and interests.
  • Creating specific segments (new customers, returning customers, inactive customers).

3. Content personalization:

  • Utilizing dynamic content to tailor product recommendations.
  • Adding personal greetings and relevant offers for each segment.

4. Email campaign automation:

  • Setting up welcome email series for new customers.
  • Activating remarketing emails for abandoned carts.
  • Regular newsletters with personalized content.

5. Testing and optimization:

  • A/B testing of email subjects, CTA buttons, and sending times.
  • Optimizing design for mobile devices.

6. Monitoring and reporting:

  • Tracking key metrics (Open Rate, CTR, conversions).
  • Regular analysis of results and adjustment of strategies.

Results

ikona

15% to 35%

Increase in email open rates

ikona

2% to 8%.

Increase in click-through rates

ikona

45 %.

Increase in conversions from emails

ikona

25%

Decrease in unsubscribe rates