Why Top Brands Choose Optimove’s CDP Over the Competition

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Grow with Optimove’s Actionable CDP

  • Unify and view all customer data in a single customer view
  • Autonomously receive actionable insights that drive measurable growth
  • Smartly orchestrate, measure and optimize personalized multi-channel campaigns

Sign up for your demo and discover why Staples, Family Dollar, lastminute.com and Sweaty Betty chose Optimove to power their customer journeys.

Top Leader in
the CDP Category

Optimove is recognized by G2 as a market leader for Customer Data Platform (CDP) based on reviews gathered from the G2 user community, as well as data aggregated from online sources and social networks

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.

Predictive
Micro-
Segmentation

Optimove’s predictive micro-segmentation technology powers the delivery of tailored messages, offers and promotions to individual customer personas, fostering both improved short-term engagement and long-term brand loyalty. Optimove’s predictive marketing engine applies mathematical and statistical models to transactional, behavioral and demographic data in order to predict future customer behavior and value. Customers with similar expressed or implied characteristics and preferences are grouped into dynamic micro-segments, which are the building blocks of your hyper-personalized relationship marketing campaigns.



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