Retention Strategy & CRM Automation Plan for E-commerce

E-commerce company (home décor)

Google Sheets (data analysis – RFM, LTV)

Google Looker Studio (KPI dashboard – mockup)

Klaviyo (flow design logic)

AI-driven upselling (recommendation engine concept)

Segmentation strategy

Email marketing automation (Flows 1-3, loyalty program)

Notion + Canva for presentation

Increase repeat customer sales by 50% in 12 months through automated, data-driven campaigns, segmentation, and customer lifetime value strategies.

I designed a full marketing automation and retention strategy for a home decir ecommerce company. Using raw sales data, I applied segmentation models (RFM), extracted purchase patterns by product category and season, calculated current LTV, and created a tailored 3-phase growth plan:

Phase 1: Reactivation by segment (Hibernating, At-risk, High-value)

Phase 2: Smart upselling and cart enhancement with AI

Phase 3: Subscription model launch ("DecoBox") and personalization flows

Each step included KPIs, customer journey flows, campaign examples, and financial forecasts with ROIs.

40% reactivation rate of inactive customers

20% increase in average order value via upsells

€19.9M in additional revenue projected from automation

Fully structured data-to-action plan for CRM growth

Data analysis → RFM segmentation, LTV modeling, seasonal trends

Marketing automation → Lifecycle flows, reactivation campaigns

KPI reporting & dashboards

Strategic thinking & financial planning

AI integration in sales funnels

Value-based email copywriting

CRM thinking without CRM tools