In the Media

British Retailers such as New Look are still getting involved by sponsoring after parties, launches and events but Optimove’s data suggests that for most retailers the impact in terms of sales will not be significant.

Optimove is a customer marketing cloud that uses machine learning and AI algorithms to scientifically segment customers according to their past and predictive data.

Optimove, for example, has a real-time hyper targeting tool that helps predict customer behavior by allowing teams to pre-craft those spur-of-the-moment experiences. The end result? Your customer feels personally engaged and understood.

Over 250 “customer centric brands” (shouldn’t all brands be customer centric?) use tools like the “realtime journey builder” to actively engage current and future customers and make them open up their wallets.

Optimove’s AI and machine learning platform will help financial services firms close the customer loyalty gap.

In effect, Optimove is combining the art of marketing with data science to autonomously generate actionable insights for financial marketers, allowing them to maximize customer spend, engagement, retention and lifetime value.

Amit suggests tips for brands to maximize customer lifetime value through meaningful and emotionally intelligent communications.

Optimove’s AI creates automated segments, and defines the best content mix for each cohort based on lifestyle, purchase patterns and demography.

For an industry which is still going through the challenge of some major structural changes, each of which comes with its own financial constraints, the power of machine learning to predict the returns on each type of customer interaction – whether that is a customer who only shops online, buys on their mobile whilst on the go, or who prefers to browse in store and buy online – is key to making savvy decisions.

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In the Media

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