The key to successful one-to-one marketing is the ability to understand your customers and what makes each one unique. It all starts with data and how it is modelled. The Optimove predictive customer modeling software allows you to tailor your messaging and offers to individual customer personas, fostering improved short-term engagement and long-term brand loyalty.
A predictive marketing engine applies statistical models to transactional, behavioural and demographic data in order to predict future customer behaviour and value. Customers with similar expressed and implied characteristics and preferences are grouped into dynamic micro-segments which form the building blocks of your customer marketing campaigns.
The Optimove system harmoniously orchestrates intelligent, highly effective customer interactions across a variety of channels, giving your customer marketing a scientific and agile edge. Based on insights arising from the Optimove models, the system’s users are able to build customized target segments and easily schedule marketing campaigns for them.
The execution of fully-automated campaigns is managed on your behalf over a wide range of marketing platforms, putting a true multi-channel personalization powerhouse at your fingertips.
The ultimate in personalized marketing is the ability to deliver highly-segmented, behaviour triggered customer messaging at the exact moment of greatest impact…
Intelligently interact with your customers, when they on your site in real-time. Optimove real-time uses predictive segmentation and real-time activity data to activate marketing-configured triggers managed within your overall marketing plan.
This process ensures that marketing spend is not wasted on account of offers being too generalized. The only way to ensure money is not left on the table is to continuously optimize offers and incentives sent to customers. We help marketers systematically and continuously optimize the effectiveness of every marketing campaign.
By analysing each campaign’s true financial uplift, the software guides marketers to address every customer group with interactions most likely to engage them. Machine learning technology is applied to make recommendations, offer insights and automatically self-optimize the matches between offers and the customer micro-segments receiving each one.