Customer Data and CRM in E-commerce
Customer data is one of the most valuable assets in e-commerce. Understanding who customers are, what they've bought, how they behave, and how valuable they are enables targeted marketing, personalised experiences, and intelligent business decisions. CRM systems organise customer data and enable engagement at scale.
The E-commerce Customer Data Landscape
- Transactional data: Order history, products purchased, spend, frequency, recency — the most valuable data for understanding customer value
- Behavioural data: Site sessions, pages viewed, products browsed, search queries, abandoned carts — intent signals for personalisation and retargeting
- Profile data: Contact details, location, preferences, communication consent
- Derived metrics: Customer Lifetime Value (CLV), RFM scores (Recency, Frequency, Monetary), churn probability
CRM and CDP Options
- Klaviyo: The dominant e-commerce CRM — deep Shopify/Magento integration, powerful segmentation and email automation, SMS capabilities. Best for: DTC brands with email/SMS as a primary marketing channel.
- HubSpot: Broader CRM with e-commerce integration. Better for B2C businesses with longer consideration cycles.
- Customer Data Platforms (CDPs): Segment, Bloomreach, Tealium — consolidate customer data from all sources into unified profiles. Enable personalisation, analytics, and multi-channel activation.
RFM Segmentation
RFM (Recency, Frequency, Monetary) is the most practical customer segmentation model for e-commerce: score each customer on how recently they purchased, how often they purchase, and how much they spend. High RFM scores = VIP customers; low recency = at-risk or lapsed customers. Drive marketing strategy from RFM segments.