Certificate In Sales And Marketing Analysis

DATE

Duration

LOCATION

FEES

Book Now

29 Jan
- 2 Feb 2024

5 Days

Dubai

$2,930

29 Jul
- 2 Aug 2024

5 Days

Dubai

$2,930

24 Nov
- 28 Oct 2024

5 Days

Dubai

$2,930

12 May
- 16 May 2024

5 Days

Virtual Online

$1,320

21 Oct
- 25 Oct 2024

5 Days

Virtual Online

$1,320

15 Dec
- 19 Dec 2024

5 Days

Virtual Online

$1,320

Marketing analystsalaries can reach six figures, but not everyone automatically earns such a high wage. First, you have to have strong analytical skills. Second, you need to know market analytics, which blends marketing, data analysis, and financial modeling. That’s why the Scandinavian Institute of Business Analytics (SCANBA) created a course that combines all three fields.

By the end of the course, you‘ll be able to:

  • Conduct market segmentation with 4 different techniques and find market segments for their product
  • Create surveys and use survey responses in market analysis
  • Set prices for products in the most profitable way using 11 pricing techniques
  • Make financial analysis with NPV and IRR models
  • Forecast sales predicting trends and seasonality effects
  • Use Microsoft Excel at professional level
  • Use IBM SPSS for automated market segmentation

This course is made for:

  • Marketing professionals
  • MBA students
  • Enterpreneurs
  • Business developers
  • All levels of business analysts

DAY ONE:

  • 5 advantages of market segmentation
  • Segmentation variables you can use
  • Descriptive and predictive market segmentation techniques

DAY TWO: 

  • 4 major market segmentation techniques: cross-tabulation, regression, clustering, and conjoint-analysis
  • 11 pricing techniques
  • 3 pricing assessment methods, including break-even analysis and the net present value capital budgeting model

DAY THREE:

  • 5 Excel spreadsheet examples
  • Concepts of elastic demand, optimal pricing, and price discrimination.

DAY FOUR:

  • 3 major sales forecasting methods including moving average, exponential smoothing, and regression
  • 2 additional extensions to the methods for in-depth analysis

DAY FIVE:

  • 5 Excel spreadsheet examples
  • Methods for predicting both seasonality and trends in sales.
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