To study:

• How people start to use product?
• When do they start to buy?
• How big is revenue from each client?
• When do clients return on marketing investments?

• Analyzed users behaviour.
• Calcaluted customer acquisition cost and revenue from each of customers.
• Determined marketing source with the maximum potential.

• Pandas library for the data conversion.

• Matplotlib and seaborn libraries for the data visualization: plotting, histograms, pie charts, heatmaps.

• NumPy library for the mathematic computing.

Completed.