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Loyalty Builders Unveils Longbow 2.0 Cloud-Based Customer Analytics
The new Longbow platform analyzes past buying behaviors to develop unique direct marketing messages.
Posted Oct 9, 2013
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Loyalty Builders, a provider of customer analytics, released Longbow 2.0, a cloud-based, self-service customer analytics platform for individualized marketing.

Longbow 2.0 analyzes customers' past behavior to develop predictions of future purchases at the individual account and individual product levels. It then creates unique marketing messages that are hyper-relevant and targeted at each individual.

Loyalty Builders has developed advanced, proprietary algorithms that leverage transaction data to predict which individual customers are likely to buy or defect and what products they will likely purchase. It can then deliver offers based on those predictions.

Longbow 2.0 takes in basic transaction data, such as a customer ID, which goods were purchased, and total amount of a sale, and then identifies the best customers to include in individualized marketing campaigns and what to offer each one. Longbow 2.0 also automatically creates lists of targeted customers and the specific offer recommendations that can be downloaded and shared directly with variable data printers, email service providers, or other marketing partners.

"Longbow 2.0 is going to forever change marketing by putting the power of customer analytics into the hands of marketers themselves," said Mark Klein, CEO and founder of Loyalty Builders, in a statement. "In the past decade, random 'spray and pray' campaigns have given way to supposedly one-to-one marketing. But even that didn't analyze customer behavior at the individual level. We are finally at the inflection point where individualized marketing is not only possible but very easy."

Loyalty Builders is currently offering marketers the opportunity to experience the power of Longbow 2.0 first hand through a no-cost, no obligation Customer Opportunity Analysis. This free analysis reveals the risk profile of a customer population; the size and specifics of the company's up-sell and cross-sell opportunity (how much money is being left on the table); and precise measurement of the company's historical and current retention rate. It also includes the company's product affinities table showing which products drive sales of other products.


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