Predictive marketing cloud company AgilOne, announced a major expansion of its predictive marketing cloud to help retailers use big customer data to better target buyers and increase sales.
New features include AgilOne’s Revenue Finder, which uses predictive analytics to uncover underserved customer segments, and Turnkey Actions, which automatically generate relevant campaigns to quickly turn these insights into new revenue streams.
The company also introduced “likelihood to buy” predictions for prospective buyers to go along with its “likelihood to buy” predictions for existing customers. Marketers can use this intelligence to decide how much of an incentive to give prospects who may have visited the site or abandoned a shopping cart in order to increase sales while minimizing discount expenses. Lastly, AgilOne enhanced its Data Quality Engine, which takes care of all the ‘data wrangling’ necessary to accurately classify customers within highly specific segments.
“Our predictive marketing cloud was built to help brands easily take advantage of the vast, often messy piles of customer data stored in silos across the organization to create personalized interactions with buyers,” said AgilOne CEO Dr. Omer Artun. “The upgrades and new features we released make it even easier for companies of any size to adopt advanced marketing techniques, such as hypertargeting, to identify new customer segments and quickly boost revenue – all without the need to install or replace core infrastructure.”
Additionally AgilOne’s new Revenue Finder and Turnkey Actions enable marketers to break down large sets of customer data into comprehensive groups of people who display similar behaviours and prescribe how to deliver the best experience to each group and thereby increase their value.
For example, the Revenue Finder automatically groups customers into precise segments, such as those that show a high risk of leaving or one-time buyers that need additional encouragement to purchase again. With matching Turnkey Actions, marketers can automatically launch campaigns from within AgilOne’s predictive marketing cloud to target these customers with relevant offers or calls-to-action. For high-risk customers, marketers can immediately send a promotional offer to bring them back into the fold, or for one-time buyers, they can send a message highlighting products similar to their original purchases.
AgilOne has also enhanced its predictive analytics capabilities by adding “Likelihood to Buy” Predictions for prospects who have yet to make their first purchase from the company. The self-learning predictive engine uses consumer engagement information to determine the chances that prospective buyers will become customers. AgilOne already delivers Likelihood to Buy Predictions for past buyers, but this new model now enables companies to target the most likely prospects with more aggressive offers in order to close the deal.