Challenge
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.
Solution
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.
Outcomes
Reduced the incremental customer acquisition cost from US$ 200 to US$ 120
Saved US$ 65,000/month by optimizing coupon redemption
Drove US$ 375,000 incremental sales from Rewards Loyalty program
Drove US$ 75,000/month in net margin increase on own-brand sales
Find out more about how we can help you improve your marketing efficiency through data analytics.
