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Modelowanie uplift
How did we achieve 30% better sales through data science?

It is possible to build a model that predicts the change in propensity to buy under the influence of communication. Based on the data collected on the first mailing, we build an uplift model that matches consumers to the right groups. Compared to previous selection methods, the response model generated 10% more additional sales, and the most advanced uplift model generated almost 30% more.

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Net,Promoter,Score,(nps),Concept,Presented,By,Businessman,Touching,On
NPS Survey – an Effective Tool to Optimise Marketing Communication

NPS (Net Promoter Score) survey has been known for nearly 20 years. Described in a Harvard Business Review article by Frederick F. Reichheld, NPS was well received by marketers and was adopted by many industries. It is estimated that up to two thirds of the largest US companies (included in Fortune 1000) use NPS. The […]

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pracownik data science, data scientist
Characteristics of an effective data scientist

What competencies should
a data scientist have? What should characterise him/her? Are there competencies without which this profession cannot be pursued? The best specialists are described by certain features that distinguish them from the crowd of ordinary analysts.

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Zakupy w galerii handlowej
How much more valuable is
a customer who trusts you?

The fact that a customer who trusts the brand is worth more is obvious. The question is, how much more? 5, 20, 100 times more? There has been no precise answer to this question so far, and we decided to give you one. The challenge was huge as we tried to measure something that is, by definition, difficult to measure, i.e. trust.

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