A large US office equipment and stationery supplier wanted to reduce the cost of acquiring customers and improve retention rates via better targeting and more personalized campaign content.


We built a series of predictive models to help the company to target customers more efficiently, improve cross-selling strategies, and promote higher-margin own-brand products. Costs were reduced by rationalizing target databases, and incremental response rates boosted through more intelligent targeting.

Find out more about how we can help you improve your marketing efficiency through data analytics.


  • Reduced the incremental customer acquisition cost from US$ 200 to US$ 120
  • Drove US$ 375,000 incremental sales from Rewards Loyalty program
  • Saved US$ 65,000/month by optimizing coupon redemption
  • Drove US$ 75,000/month in net margin increase on own-brand sales