A proposed approach to explore with your business. Scope, implementation and outcomes depend on the engagement.
Email revenue +40-60% within 90 days typical
Ideal for
Any Australian retailer using an ESP without ERP integration. Can't segment by purchase history, LTV, or product category.
The situation
A retailer whose ESP has no connection to purchase data, limiting segmentation to opens/clicks
The existing ESP has no connection to ERP transaction data. The marketing team can segment by opens and clicks but cannot answer "who bought from category X in the last 90 days?" or "who is a repeat customer with LTV above $500?" Every email goes to the entire list with the same content. Unsubscribe rates are high because irrelevant email is the norm.
The approach
Migrate subscriber data to Klaviyo with full historical engagement data preserved. Celigo integration syncs NetSuite order data to Klaviyo profiles in real-time. Every purchase updates the profile with: products purchased (SKU, name, category), order value, lifetime purchase count, lifetime value, purchase frequency, days since last order, favourite category, and dynamic customer tier (new, active, VIP, lapsed).
Build 10-12 automated flows powered by this data:
Welcome series (5 emails, branching by first purchase category)
Post-purchase (product care tips specific to category bought)
Replenishment reminders (consumables triggered by estimated consumption)
Browse abandonment (viewed product 2+ times without purchasing)
Cart abandonment (with product-specific social proof)
Win-back (dormant 90+ days, personalised by most-purchased category)
VIP early access (top 10% by LTV get new collections 48hrs early)
Cross-sell (category A purchasers recommended category B)
Birthday/anniversary
Re-engagement (no opens in 60+ days - before suppression)
Expected outcomes
Email-attributed revenue increases 40-60% within 90 days. Automated flows generate 30-40% of total email revenue (previously 0%). Unsubscribe rate drops 50-70%. Win-back flows alone typically recover $50-150K annually depending on list size and AOV.
Measures to validate
| Measure | Before | Target |
|---|---|---|
| Email revenue | Baseline | +40-60% typical |
| Automated flow share | 0% | 30-40% typical |
| Unsubscribe rate | Baseline | -50-70% typical |