Marketing ops · Production

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

The problem

Email personalization for individual recipients required extraordinary manual effort that did not justify the ROI, leaving email as a channel maintained purely for brand visibility without real optimization.

Workflow diagram · grounded in source
1
Algorithm widget configuration
trigger
“the Warehouse Group revamped their email content strategy to center around already available algorithms in Dynamic Yield, applying them to recommendation widgets which plugged directly into their ESP”
2
Automated product recommendation generation
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”
3
Themed emails deployed 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, freed up 28 hours per week of operational costs, and deployed over 40 modules of personalized content across three brands with a single send.

Reported metrics
Email click rate uplift14%
Operational hours saved per week28 hours per week
Personalized content modules deployed with single 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, freed up 28 hours per week of operational costs, and deployed over 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 hours saved per week: 28 hours per week; Personalized content modules deployed with single send: 40+ (source-reported, not independently verified).

How is this marketing ops AI workflow structured?

Algorithm widget configuration → Automated product recommendation generation → Themed emails deployed across brands.

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