What will Uplift do for me?
Understanding that greater marketing ROI can be gained by targeting fewer in your database helps you to adjust future campaigns so budget spend is less and responses greater. Other Uplift users have reported up to 40 percent budget savings and up to 35 percent improvement in responses. By entering in your own campaign data into the Campaign Checkup form, the resulting report will provide indicators for potential results improvements.
View a Campaign Checkup Example Report
Enter your campaign details into a Campaign Checkup form
Is Uplift suited to your organisation?
There are four qualification criteria important for evaluating the potential impact of uplift modeling:
- Control groups
Uplift modeling absolutely requires the systematic use of randomized control groups, so is only of benefit to businesses that already use, or are prepared to adopt this approach. - Size of customer base
Businesses with large customer bases will tend to benefit disproportionately more than those with fewer customers, because reasonable volumes are needed to model this second-order effect. Though dependent on response rates, uplifts and the ratio of treated to control group sizes, we would not normally expect the technique to work well on campaigns targeting fewer than about 100,000 people. - Influences
Uplift modeling is of particular benefit in situations in which many factors influence a customer’s behavior. Companies with a largely single-channel, single-communication route to customers, in less competitive markets, will benefit less from uplift modeling than those with many channels and communication paths and greater competition. - Overall level of uplift
We believe that the approach of uplift modeling is correct even when the overall level of uplift is high and there are no obvious negative effects involved in a campaign. In these circumstances there are alternatives, albeit suboptimal ones. In circumstances where campaigns show little overall uplift, or negative overall uplift, other than a complete change of approach, there is no known alternative to uplift modeling.
Enter your campaign details into a Campaign Checkup form
View the American Marketing Association (AMA) webinar
In January the AMA hosted a webinar based on Aberdeen Group research ‘Customer analytic segmentation beyond demographics’ into best-in-class organizations; and real-life experience from Portrait Software – exploring how top-performing organizations are leveraging more than just demographics for campaign segmentation, and are delivering demonstrably higher performance as a result.
Some of the many benefits the best-in-class are achieving using customer analytics include:
- 35% increase in average order value
- 43% increase in annual revenue
- 25% increase in market share growth