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Customer lifecycle and target marketing

Dataclair

10/6/2021 | 1 minute to read

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We maximise the return on marketing investments by harnessing Big Data and artificial intelligence. Our AI models are developed in a way that will enable us to influence the value and experience of every customer in real-time.

Increasing customer value

We can rapidly increase the value of a company’s customer base by using Big Data and ‘reinforcement learning’ techniques. We are among the few firms that can develop algorithms for personalised recommendations in relation to customer care and support activities and for predicting problems. Recommendations for individual customers are created in real-time. Firms can thus entirely prevent negative customer experiences.

“Precise personalisation using machine learning and targeted activities in real-time are the future of marketing,”

Jan Romportl, Director of Dataclair AI

AI and targeting

Thanks to AI and machine learning, we can optimise the performance of marketing campaigns. For orders with a clear target group, we segment customers based on anonymised data on their internet behaviour. To expand the customer base and achieve greater campaign reach, we use look alike models, through which we can target potential customers even in segments where you would not expect to find them.

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