Marketing ops · Production

The Warehouse Group achieves 14% email click-rate uplift and saves 28 hours/week with Dynamic Yield email personalization

The problem

Personalizing email content at scale required extraordinary manual effort that did not justify the ROI, leaving The Warehouse Group's email channel serving only brand visibility rather than real optimization.

Workflow diagram · grounded in source
1
Strategy pivot to algorithms
trigger
“the Warehouse Group revamped their email content strategy to center around already available algorithms in Dynamic Yield, applying them to recommendation widgets”
2
Recommendation widgets in ESP
integration
“applying them to recommendation widgets which plugged directly into their ESP”
3
Algorithm-driven product selection
ai_action
“the algorithms did most of the work automatically, generating which products to show in emails based on the applied filters and eliminating the need for a manual build”
4
Themed email deployment across brands
output
“The Warehouse Group applied this themed email strategy to its three largest brands: The Warehouse, Warehouse Stationery, and Noel Leeming. The frequency was three emails per brand per week, which totaled about forty recommendation module…”
Reported outcome

The Warehouse Group achieved a 14% uplift in email click rate and freed up 28 hours per week of operational costs, deploying 40+ modules of personalized content across three brands with a single send.

Reported metrics
Email click rate uplift14%
Operational cost savings per week28 hours per week
Personalized content modules deployed per send40+
Reported stack
Dynamic YieldExperience EmailESP
Source
https://www.dynamicyield.com/case-studies/the-warehouse-group-email/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

The Warehouse Group achieved a 14% uplift in email click rate and freed up 28 hours per week of operational costs, deploying 40+ modules of personalized content across three brands with a single send.

What tools did this team use?

Dynamic Yield, Experience Email, ESP.

What results were reported?

Email click rate uplift: 14%; Operational cost savings per week: 28 hours per week; Personalized content modules deployed per send: 40+ (source-reported, not independently verified).

How is this marketing ops AI workflow structured?

Strategy pivot to algorithms → Recommendation widgets in ESP → Algorithm-driven product selection → Themed email deployment across brands.

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