Skip to content

Optimizing email marketing for fashion e-shop

labut dataswans

Client

E-shop with fashion clothing and accessories aimed at young adults

Goal

To increase the open rate (Open Rate) and click through rate (CTR) of email campaigns while maximizing conversions through personalized email communication.

The Problem

The client was experiencing low email open rates (15%) and low click-through rates (2%). Email campaigns were not personalized and sent to segmented audiences, resulting in low customer engagement

Solution

1. Audit and analysis of existing campaigns:

Re-evaluate the design and content of emails.

Identification of deliverability and frequency issues.

2. Database segmentation:

Segmenting contacts by demographics, buying behavior, and interests.

Creating specific segments (new customers, returning customers, inactive customers).

3. Personalization of content:

Use dynamic content to personalize product recommendations.

Adding a personal touch and relevant offers for each segment.

4. Automating email campaigns:

Setting up welcome email series for new customers.

Activate remarketing emails for abandoned carts.

Regular newsletters with personalized content.

5. Testing and optimization:

A/B testing of email subject lines, CTA buttons and send times.

Optimizing design for mobile devices.

6. Monitoring and reporting:

Track key metrics (Open Rate, CTR, conversions).

Regular analysis of results and adaptation of strategies.

Results

ikona

15% to 35%

Increase email open rates

ikona

2% to 8%

Increase click-through rate

ikona

45%

Increase in conversions from emails

ikona

25%

Reducing the number of de-listings