All in one predictive marketing in the cloud

AgilOne brings together, for the first time ever, world-class data management, customer intelligence, and omni-channel personalisation in an easy-to-use cloud based platform.

AgilOne has been described as the perfect marriage between Machine Learning and Human Intelligence. Cinder are proud to be the exclusive APAC partner of this fantastic platform. When you sign up for AgilOne, you will also be supported by the best data scientists and marketing experts in the business. Read on to learn how AgilOne can help your business.


All customer data in one place

AgilOne will collect customer data from all channels, online and offline, clean and deduplicate it, then link it to a single customer ID. This brings together both hard data (such as transactions) with soft data (such as email and website engagement) to form a complete picture of customer preferences and intent.

Customer analytics

AgilOne gives marketers instant access to dashboards, alerts and pivot reports to see trends in customers, sales, marketing, and products. Advanced predictive analytics are applied to make one-on-one recommendations, segment your customers according to behavior and make a large number of predictions such as likelihood to buy, likelihood to unsubscribe and predicted lifetime value. For the first time, you can truly understand all customers, including first time buyers, repeat buyers, lapsed customers and your most valuable customers.

Personalised Marketing Campaigns

AgilOne updates customer insights and predictions available in real-time at all customer touch points, online and offline. Now it is not only possible, but even easy to deliver consistent personalized marketing campaigns across email, direct mail, web, phone and in-store channels. To accomplish this the platform works with your existing customer-facing applications. The AgilOne data model is 100% open and offers a large number of out-of-the-box connectors to e-commerce platforms, e-mail service providers, call centers and in-store environments.

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