Lifecycle Marketing Leader β€” CRM & Retention

Lifecycle Marketing Leader β€” CRM & Retention

Full-Time 50000 - 60000 Β£ / year (est.) No working from home possible
Laundryheap

At a Glance

  • Tasks: Lead retention strategies and shape customer loyalty programmes using data-driven insights.
  • Company: Join Laundryheap, a forward-thinking company focused on customer experience.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on innovation and experimentation.
  • Why this job: Make a real impact on customer loyalty and retention across multiple channels.
  • Qualifications: 5+ years in B2C lifecycle marketing with hands-on CRM experience.

The predicted salary is between 50000 - 60000 Β£ per year.

Laundryheap is looking for a CRM & Lifecycle Marketing Manager to lead their retention strategy. The ideal candidate will have over 5 years in B2C lifecycle marketing, be hands-on with automated sequences, and have proven experience with CRM experiments.

This hybrid role involves strategic leadership to shape customer loyalty programmes, with a focus on data and experimentation. The position offers a unique opportunity to drive customer behaviour and improve retention rates across multiple channels.

Lifecycle Marketing Leader β€” CRM & Retention employer: Laundryheap

At Laundryheap, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our hybrid work model allows for flexibility while empowering our employees to take charge of their professional growth through hands-on experience in lifecycle marketing. With a strong focus on data-driven strategies and customer loyalty, we offer unique opportunities for meaningful contributions that directly impact our retention efforts and overall success.

Laundryheap

Contact Details:

Laundryheap Recruitment Team

We think you need these skills to ace Lifecycle Marketing Leader β€” CRM & Retention

B2C Lifecycle Marketing
CRM Management
Automated Sequences
Data Analysis
Experimentation
Customer Loyalty Programmes
Retention Strategy