Recommendation System for Email Campaign Personalization

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
8+Years of work900+Completed projects100+In house employees19+Partners
Offered services
Showing 1 of 1 servicesAll 1566 services
Recommendation System for Email Campaign Personalization
Medium
~1-2 weeks
FAQ
AI Development Areas
AI Solution Development Stages
Latest works
  • image_website-b2b-advance_0.png
    B2B ADVANCE company website development
    1215
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1161
  • image_websites_belfingroup_462_0.webp
    Website development for BELFINGROUP
    852
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1041
  • image_logo-advance_0.png
    B2B Advance company logo design
    561
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    823
Show more works

Implementation of AI Email Campaign Recommendation Personalization

Email campaign personalization shifts from "put in name" to individual product selection, send time and email subject for each recipient. ML personalization increases Open Rate by 20-40% and CTR by 50-100% compared to mass mailings.

Batch Generation for Email Campaign

Typical email personalization results: Open Rate 22-35% (vs 15-20% generic), CTR 3-8% (vs 1-2%), Revenue per Email $0.15-0.40 (vs $0.03-0.08). Important technical constraints: LLM-generation of 10K subjects takes 15-30 minutes, so for large bases need to pre-generate templates.