Routledge

Essentials of Pricing Analytics; Tools and Implementation with Excel; Second Edition

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Learn Pricing Analytics Excel Tools to optimize pricing strategies and implement data-driven decisions.

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Additional information

Additional information

Authors

Erik Haugom & Per Kristian Alnes

Publisher

Routledge

Published On

2026-02-15T00:00:00+05:30

Language

English

File Format

PDF

File Size

43.98 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.57

Description

Pricing Analytics Tools Implementation is the key to mastering modern pricing strategies, and this course teaches you how to apply powerful pricing analytics methods using Microsoft Excel. In today’s competitive business environment, companies must make smarter pricing decisions to maximize profit, improve customer value, and strengthen market positioning. Therefore, this course provides a structured approach to understanding pricing data, analyzing market behavior, and implementing effective pricing models. Moreover, learners will explore real-world scenarios where data-driven pricing strategies significantly improve business outcomes.

This comprehensive training program focuses on the essential techniques used by analysts, business professionals, and pricing managers. In addition, the course explains how organizations apply pricing analytics to increase revenue and gain a competitive advantage. Throughout the lessons, you will build practical skills with Excel-based tools that simplify complex pricing calculations. Consequently, you will learn how to convert raw data into valuable insights that guide strategic pricing decisions.

What You’ll Learn

  • Understand the core concepts of pricing analytics and revenue optimization
  • Analyze customer demand and price sensitivity using structured datasets
  • Build pricing models and analytical frameworks in Microsoft Excel
  • Evaluate different pricing strategies including cost-based and value-based pricing
  • Apply data visualization techniques to communicate pricing insights
  • Use Excel tools for forecasting demand and optimizing product pricing
  • Interpret pricing analytics results to support strategic business decisions
  • Develop practical workflows for pricing analysis and implementation

Requirements

  • Basic knowledge of Microsoft Excel
  • Interest in business analytics, finance, or marketing strategy
  • Fundamental understanding of business concepts is helpful but not mandatory
  • A computer with Microsoft Excel installed

Description: Pricing Analytics Tools Implementation

This course delivers a practical introduction to pricing analytics and its implementation using Excel. First, it explains the principles behind pricing decisions and why data-driven strategies outperform traditional pricing methods. Next, learners explore the analytical tools that businesses use to evaluate market demand and customer behavior. As a result, students develop the ability to identify optimal pricing opportunities.

Furthermore, the course demonstrates how Excel can support powerful pricing analytics workflows. You will practice building models that evaluate product profitability, analyze pricing scenarios, and simulate revenue outcomes. In addition, the course highlights how pricing analytics influences marketing strategies, competitive positioning, and long-term financial performance.

Most importantly, the training focuses on practical implementation. Instead of only discussing theoretical concepts, the lessons guide you through step-by-step Excel exercises. Consequently, you gain hands-on experience that can immediately be applied in real business situations. By the end of the course, you will confidently design pricing strategies based on analytical insights.

Who This Course Is For

  • Business analysts who want to specialize in pricing analytics
  • Marketing professionals interested in pricing strategy
  • Finance professionals working on revenue optimization
  • Entrepreneurs who want to improve product pricing decisions
  • Students studying business analytics, economics, or marketing

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Additional information

Authors

Erik Haugom & Per Kristian Alnes

Publisher

Routledge

Published On

2026-02-15T00:00:00+05:30

Language

English

File Format

PDF

File Size

43.98 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.57

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