Markight analytics platform

Marketing. Intelligent. Insight

No reviews
Free
Markight Overview

Key values section

Effective marketing

Evaluate previous campaigns effectiveness through customers buying behavior analysis and plan data-driven retention marketing campaigns

Sales optimization

Optimize your sales strategy by considering factors such as price, previous sales, product categories and tracking your customers’ behavior

Data-driven-decision making

Benefit from data science technology to classify your target market customers and make data-driven decisions for each customer segment

App details

Markight analytics platform

Markight analytics platform

Markight is a solution provided by Dataigest company. We started working in 2021 for the purpose of providing a customer analysis platform as a B2B SaaS focused on data-driven retention marketing, a process that helps E-Commerce raise more revenue from their existing customers. We are a team made up of global professionals who have come together striving to work with the best data scientists and business professionals, aspiring to make a difference with the help of our clients in the field of marketing and customer experience. Check some of Markight's features below!

Customer segmentation

Using data science technologies, your company can compute mass amounts of historical transactional data to segment all your customers into different groups with a method called RFM segmentation.

KPI Monitoring

Tracking key performance indicators (KPIs) guides a business towards making the best decisions for better sales and profit, but getting access to day-to-day reports that are actionable often involves using a lot of resources for data gathering and visualization.

Predictive and Prescriptive Analysis

You must have heard; “Those who cannot remember the past are condemned to repeat it.” We believe tracking and analyzing the past is the key to never repeating it. So, we offer an opportunity to track your customers’ post-purchase behavior in the past to help you implement effective strategies today in order to avoid losing them in the future.

Churn Prediction

Using data, algorithms and machine learning, this tool predicts customer churn before it occurs. To benefit from this feature, you can select a specific time period or customer segment to answer questions such as:

  • Will my customers churn in the next x days?

  • Which customer segment is likely to churn in the next x days?

Time between Purchases

Based on your customers’ purchase behavior in the past, this analysis examines the average customer repurchase rate for the second, third, and subsequent purchases to predict their future buying patterns. With the help of this, you can identify customers with the following characteristics:

  • Customers on the verge of churning

  • Customers on the verge of purchasing

  • Customers with an extended time gap between their purchases

  • Customers with a short time gap between their purchases

Product Performance

Having to manage an abundance of products, it’s common for category managers who work in retailers to spend the majority of their time on short term objectives such as setting meetings, conducting negotiations and attending day-to-day tasks. There’s simply too little time to create a viable long-term, data-driven strategy, and even if there were, the existing systems seem almost impossible to overhaul or design.

Launch date

Markight analytics platform

Markight analytics platform

Markight is a solution provided by Dataigest company. We started working in 2021 for the purpose of providing a customer analysis platform as a B2B SaaS focused on data-driven retention marketing, a process that helps E-Commerce raise more revenue from their existing customers. We are a team made up of global professionals who have come together striving to work with the best data scientists and business professionals, aspiring to make a difference with the help of our clients in the field of marketing and customer experience. Check some of Markight's features below!

Customer segmentation

Using data science technologies, your company can compute mass amounts of historical transactional data to segment all your customers into different groups with a method called RFM segmentation.

KPI Monitoring

Tracking key performance indicators (KPIs) guides a business towards making the best decisions for better sales and profit, but getting access to day-to-day reports that are actionable often involves using a lot of resources for data gathering and visualization.

Predictive and Prescriptive Analysis

You must have heard; “Those who cannot remember the past are condemned to repeat it.” We believe tracking and analyzing the past is the key to never repeating it. So, we offer an opportunity to track your customers’ post-purchase behavior in the past to help you implement effective strategies today in order to avoid losing them in the future.

Churn Prediction

Using data, algorithms and machine learning, this tool predicts customer churn before it occurs. To benefit from this feature, you can select a specific time period or customer segment to answer questions such as:

  • Will my customers churn in the next x days?

  • Which customer segment is likely to churn in the next x days?

Time between Purchases

Based on your customers’ purchase behavior in the past, this analysis examines the average customer repurchase rate for the second, third, and subsequent purchases to predict their future buying patterns. With the help of this, you can identify customers with the following characteristics:

  • Customers on the verge of churning

  • Customers on the verge of purchasing

  • Customers with an extended time gap between their purchases

  • Customers with a short time gap between their purchases

Product Performance

Having to manage an abundance of products, it’s common for category managers who work in retailers to spend the majority of their time on short term objectives such as setting meetings, conducting negotiations and attending day-to-day tasks. There’s simply too little time to create a viable long-term, data-driven strategy, and even if there were, the existing systems seem almost impossible to overhaul or design.

Launch date

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