Retail|Marketing|Increase Revenue

Sift LabMarketing data analysis

Basket analysis took five months to build. Now, marketers use conversational AI to segment customers and launch campaigns instantly.

Dec 28, 2025|1 month ago

Key results

ROAS Improvement
40-50%
CLV Increase
15-30%
Annual Revenue Uplift
5-7%

The company

Sift Lab logo

Sift Lab

siftlab.com

AI platform for retail data analytics, predictive insights, and segmentation.

IndustryRetail
LocationStockholm, Sweden
Employees11-50
Founded2021

Result highlights

  • 40-50% ROAS improvement for clients
  • 15-30% increase in customer lifetime value
  • 5-7% annual revenue uplift for enterprise clients
  • Up to 10x faster analytics workflows for retailers
  • Up to 200% campaign performance increase

The story

A Swedish AI company born from academic research at Umeå University’s ICE Lab that helps retailers monetize first-party data.

Retail marketing teams struggled with disconnected data silos, spending hours manually poring over spreadsheets to find actionable insights. One client reported that building a standard basket analysis previously took five months, preventing agile decision-making.

The company developed a self-service platform using Vertex AI and Gemini that allows users to query complex datasets using natural language without data science support. Predictive models identify specific customer clusters, while generative AI automatically names these segments based on behavioral traits. Marketers can then export these audiences directly to advertising platforms for immediate activation.

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