The process of collecting, analyzing, and interpreting data related to online sales and customer behavior to improve business performance.

The systematic gathering of information from various sources to inform analytics and drive decision-making.

The overall perception customers have of a brand based on their interactions across various touchpoints.

Quantifiable metrics used to evaluate the success of a business in achieving its objectives.

The process of ensuring that collected data is accurate, complete, and reliable for analysis.

Fictional characters created based on data to represent different customer segments and their behaviors.

The process of summarizing and presenting data insights in a structured format for stakeholders.

The graphical representation of data to help communicate insights clearly and effectively.

Data-driven conclusions that can inform specific actions to improve business outcomes.

A structured approach to collecting and analyzing data, guiding the analytics process.

Combining data from different sources to provide a unified view for analysis.

Strategies aimed at keeping existing customers engaged and reducing churn rates.

Software applications used to monitor user interactions and behaviors on e-commerce platforms.

A method of comparing two versions of a webpage or product to determine which performs better.

Analyzing customer interactions across multiple channels to understand behavior and preferences.

Using data analysis to guide business strategies and operational decisions.

Real-world examples used to illustrate successful applications of analytics in e-commerce.

A visual display of key metrics and data points, providing a quick overview of performance.

Data points that reflect how customers interact with a brand, including purchase frequency and engagement.

Software applications designed to facilitate data collection, analysis, and reporting.

A plan that outlines how to collect, analyze, and utilize data effectively within an organization.

The process of improving a system or process to enhance performance and achieve better results.

A subset of AI that enables systems to learn from data and improve over time without human intervention.

The management of data availability, usability, integrity, and security in an organization.

The process of dividing a customer base into distinct groups for targeted marketing and analysis.

Using statistical algorithms and machine learning techniques to identify future outcomes based on historical data.