Retail & ecommerce · Databricks
Skechers: Stepping into personalized experiences for every customer
Public case study · not a Metric Oak engagement
- Increase in click-through rate
- 324%
- Decrease in cost per click
- 68%
- Boost in return on ad spend
- 28%
What happened
The story in brief
A global footwear brand that grew quickly online during the pandemic wanted connected customer profiles for personalization. Centralizing data on Databricks enabled granular audiences and targeted recommendations, reducing cost per click.
How it compares
- 68% decrease in cost per click, against a median reported cost reduction of 50% across 16 retail & ecommerce results.
- 28% boost in return on ad spend, against a median reported cost reduction of 50% across 16 retail & ecommerce results.
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Frequently asked questions
What results did Skechers report?
Skechers reported 324% increase in click-through rate; 68% decrease in cost per click; 28% boost in return on ad spend, according to its customer story published by Databricks.
Which platform and technologies did Skechers use?
Skechers used Databricks, including Delta Lake, Kafka.
How do these results compare with other retail & ecommerce programs?
68% decrease in cost per click, against a median reported cost reduction of 50% across 16 retail & ecommerce results. 28% boost in return on ad spend, against a median reported cost reduction of 50% across 16 retail & ecommerce results.
Source
Customer story published by Databricks: Stepping into personalized experiences for every customer (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
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