Blog: analytics
September 14, 2022
RFM Analysis – Customer Segmentation by Loyalty
RFM analysis is a simple yet efficient way to predict a customer's behavior.
July 27, 2022
Cohort Analysis
Cohort analysis is a branch of behavioral analytics in which clients are not viewed as a single set but are divided for analysis into groups called cohorts.
July 20, 2022
ABC Analysis, Pareto and Lorenz
What do ABC analysis, Pareto principle and Lorenz curve have in common?
July 19, 2022
5 Advantages of Low Code Development
Low-code is a development method that allows you to design logic quickly and with low implementation costs.
July 18, 2022
No time for customer analytics?
A lack of customer analysis carries great risks and can jeopardize a company's competitiveness.
July 14, 2022
Intelligent action recommendations
Intelligent recommendations for action for sales representatives — a new reality in sales.
July 7, 2022
Time for analytical CRM
Analytical CRM uses data analysis technologies with the aim of increasing the quality of the customer base.
June 28, 2022
It’s all about recommendations
Concrete recommendations for action simplify your daily work, improve the decision-making process and save time.
May 6, 2022
Lifecycle segmentation
The customer lifecycle refers to the process of passing through the different stages of the relationship between the customer and the company.
April 10, 2022
ABC analysis
ABC analysis is a classification method to rank a company's resources according to their importance and profitability.
April 3, 2022
XYZ analysis
XYZ analysis is a classification method to rank the resources of a company.
April 1, 2022
Churn rate
Customer churn is the ongoing process whereby individual customers abandon the purchase of a company's products or services.
March 5, 2022
RFM segmentation
RFM analysis is the analysis of a company's customers to segment them by business value.
March 1, 2022
CLV. Customer Lifetime Value
In marketing, a net profit is expected to be generated throughout the customer lifecycle. The CLV valuation model can vary in complexity and accuracy, from rough heuristics to the use of sophisticated predictive analytics techniques.