Smart Marketing Teams Choose Optimove
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- Predictive Customer Modeling
- Real-time Hypertargeting
- Multi-Channel Campaign Automation
- Self-Optimizing Personalization
Self-
Optimizing Campaigns
A self-optimizing campaign is a recurring campaign series that is automatically optimized over time. Optimove’s algorithm tracks how competing actions perform for each micro-segment within the campaign’s target group and uses this data to gradually adjust the cluster-action mix for maximum uplift. This results in each customer receiving the campaign to which they are most likely to respond every time.
Dynamic
Customer
Journeys
Optimove makes it practical to manage and optimize infinite customer journeys, in which each customer determines what comes next. With Optimove, marketers re-imagine traditional, funnel-based customer journey maps to most effectively communicate with each individual customer in the context of their actual activities, behaviors and preferences. Customer data, prior campaign responses and predictive behavior modeling are used to identify the most important intervention points – and the best kinds of responses and activities for each – that brands can leverage to maximize customer engagement and loyalty.
Single
Customer
View
Every Optimove
client receives a customized predictive customer model that reflects its distinct business DNA and unique customer data. This customer model integrates information from four main sources: first-party raw data, on-site/in-app user activity, third-party data and campaign response history. This consolidated dataset is continuously maintained as a 360° Single Customer View, accessible to the organization as a marketer’s data mart, and used to orchestrate individualized customer relationships across all available channels.
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Let us show you how agile and powerful automated predictive marketing can be.