Home startup mehrdad February 6, 2020

Customer analysis
RFM Segmentation

By segmenting customers based on RFM factors, businesses can target their marketing efforts more effectively, focusing on the most profitable customers or those who are most likely to make a purchase.

Deep Behavioral Profiling

Customer taste, purchasing pattern, preferences

Product Performance analysis

analyzing data such as sales figures, customer feedback, and market trends, companies can gain insights into how well their products are performing and identify areas for improvement.

Identify your strategic product

identifying the product that contributes the most to your business's overall success. This product is typically the one that generates the most revenue or profit, has the highest demand, or has a significant market share.

Trend Analysis

Discover the heartbeat of your market with our business trend analysis. We uncover patterns, shifts, and emerging trends from historical and current data, enabling you to make informed decisions and stay competitive in dynamic markets.

Forecast Analysis

historical data, industry trends, and economic indicators to predict future sales, demand, and other key performance metrics.

Product Bundling

analyze past customer behavior, calculate the average customer retention for future purchases, and identify soon-to-churn customers, fast-buying customers, and slow-buying customers

How we work?
Data Collecting

We collect the needed data from several of your data channels to have rich resources for analyze your business


We analyze the collected data and produce different analytics models according to the business needs for accurate understanding of the business Domain


We will turn your data into visuals on BI dashboards and analyze them in consultation sessions with your business

Why Data Is Important?

Deep understanding of loyal customers and reducing customer acquisition cost


Customizing purchase recommendations for customers


Increasing the customer lifetime value in business