Ta en titt på alla våra webbseminarier och evenemang!

Titta på händelser Titta på video__wf_reserverad_ärva
Prissättning

Leveraging Price Sensitivity Analysis for Sustainable Growth

The webinar introduces Symson's 5-Step Approach, a systematic framework for analyzing price sensitivity. From market research to regression models and calculating sensitivity scores, we cover each step in detail, showing how to implement these insights for strategic pricing adjustments and customer segmentation.

Topic 1: Case Story to Understand Price Sensitivity

  • Exploring the price sensitivity of products using 12 price drivers.
  • Explaining 4 examples of price drivers:

           - Price driver a: Explained (e.g., price level of the product)
            - Price driver b: Explained (e.g., buyer frequency)
            - Price driver c: Explained (e.g., attributes of a product, such as material or colour)
           - Price driver d: Explained (e.g., [specific detail needed here])

  • What you can do with the results.

Topic 2: Price Elasticity vs. Price Sensitivity

  • When to use price sensitivity and when to use price elasticity.
  • Exploring the challenges businesses face with price elasticity, including:

            - Historical data limitations
            - Lack of competitive data
            - The multifactorial nature of demand
            - Trust in pricing recommendations
            - The need for advanced optimization methods

Topic 3: Symson's 5-Step Approach

  1. Market Research and Customer Surveys: Gaining insights into customer preferences and perceptions.
  2. Building a Regression Model: Understanding the relationship between price, quantity sold, and price sensitivity drivers.
  3. Calculating Price Sensitivity Scores: Assigning weights to coefficients and predicting customer response to price changes.

Topic 4: Implementation and Experimentation

  • Translating insights into margin optimization.
  • Segmenting customers for controlled experiments.
  • Monitoring and evaluating the effects of price changes.
  • Continuous improvement through frequent updates to the price sensitivity model.

Topic 5: The Best of Both Worlds: Combining Human Expertise and Machine Learning

  • The collaborative approach to price optimization.
  • The benefits of human-machine collaboration, including:
    - Increased sales adoption
    - Enhanced risk management
    - Higher accuracy in pricing strategies

Crash Course Video's

Our Platform Explained
The Symson Platform
Our Platform Explained
How it works
Getting Started - our packages
1 Minute Explainer
Getting Started - our packages
Our Scientific Algorithm
Getting Started - our packages
SYMSON, A bit of fun
Getting Started - our packages
Dynamic Pricing Solution
Getting Started - our packages
Competitor Pricing Solution
Getting Started - our packages
Run Smart Predictions
Getting Started - our packages
Get Insights & Learn
Getting Started - our packages
Price Engine Solution
University - Tutorials
Build Pricing Strategies
University - Tutorials
Product Group Configuration
University - Tutorials
Run Pricing Strategies
University - Tutorials
Understanding Data Quality
University - Tutorials
How to Run Future Scenario's
University - Tutorials
How To Verify Results?
Deep Insights | Webinars
Principles of Dynamic Pricing
Deep Insights | Webinars
The Pricing Insights & Learn
Deep Insights | Webinars
Competitive Pricing
Deep Insights | Webinars
Price Engine Deep Insights
Deep Insights | Webinars
Product Segmentation
Deep Insights | Webinars
AI-driven solutions for e-commerce
Deep Insights | Webinars
Simplifying Price Management