Out-of-the-box A/B test nodes enable you to test campaign effectiveness by comparing two different versions of an offer. The most effective version stays; the poorly performing version goes. You can continue testing this way indefinitely, and watch campaign response rates continually rise. Configuring and tracking test results is much simpler, and you can use campaigns to determine which response is most effective in achieving campaign goals.
Test campaign effectiveness before launch by using campaign simulation capabilities to determine whether or not the decision flow will be effective in an operational environment. By running simulations, campaign designers can better understand how customers will move through a decision flow and what response rates may look like. You can make adjustments accordingly to ensure that treatments, actions and offers are delivered to customers as intended.
The solution makes it easy to reuse the most effective campaign components in new campaign designs. You can speed the development of new campaigns by copying and pasting complex campaign logic contained within nodes. Calculated variables and test cases can be imported from other campaigns into new campaigns with minimal effort. And you can open and view subdiagrams within campaign flows directly for easy in-depth analysis of the logic.