- Part 1. Introduction to MM4XL
- Part 2. MM4XL Tools
- 1. Strategic Tools
- BCG Matrix
- Brand Mapping
- Brand Switch
- Decision Tree
- Forecast Manager
- McKinsey Matrix
- Profile Manager
- Quality Manager
- Risk Analyst
- Risk Analyst Expert in a Few Minutes
- Introduction to Decision Analysis
- Introducing Risk Analyst with an example
- 1. How to run Risk Analyst
- 2. Simulation Never heard of it
- 3. Examples
- 4. Functions
- 1. Property Functions
- 2. Utility Functions
- 3. Distribution Functions
- mmBETA (Scale, Shape)
- mmBETAGEN (Scale, Shape, [Optional: Lower], [Optional: Upper])
- mmBINOMIAL (Trials, Successes)
- mmCHI2 (Degrees)
- mmDISCRETE (InputRange, Probabilities)
- mmERF (Mean)
- mmERLANG (Scale, Shape)
- mmEXPON (Mean)
- mmEXTVAL (ModalValue, StDeviation)
- mmGAMMA (Scale, Shape)
- mmGAUSSINV (Mean, Scale)
- mmGEO (Trials)
- mmHYPERGEO (Sample, Defects, BatchSize)
- mmINTUNI (Lower, Upper)
- mmLOGISTIC (Mean, StDeviation)
- mmLOGNORMAL (Mean, StDeviation)
- mmNEGBIN (Failures, Successes)
- mmNORMAL (Mean, StDeviation)
- mmPARETO (Location, ModalValue)
- mmPARETO2 (Location, ModalValue)
- mmPERT (Lower, ModalValue, Upper)
- mmPOISSON (Mean)
- mmRANDBETWEEN (Lower, Upper)
- mmRAYLEIGH (ModalValue)
- mmSTUDENT (Degrees)
- mmTRI (Lower, ModalValue, Upper)
- mmUNIFORM (Lower, Upper)
- mmWEIBULL (Life, Shape)
- Probability functions
- Technicalities
- Sources
- 2. Analytical Tools
- Business Formulas
- mmBASS, Bass Diffusion Model
- mmBEI, Brand Equity Index
- mmBEP, Break-Even Point
- mmBEPR, Break-Even Point with Fixed Rate of Return
- mmBUYRATE, Purchase Rate Model
- mmCAGR, Compound Annual Growth
- mmCHIp, Chi Squared Test
- mmCODING, Coding of variables
- 1. Customer Satisfaction
- 2. Database Functions
- mmDHMS, Number to Time
- mmEI, Evolution Index
- mmEXPECT, Expected values
- 3. Forecast Errors
- mmGROWTH
- mmGROWTHBACK
- mmGRP, Gross Rating Points
- mmHERF, Herfindahl Index
- mmINTERPOLE, Linear Interpolation
- mmLEARN, Learning Curve
- mmMSAR, Market Share to Advertising Ratio
- 4. Opportunity Index
- 5. Performance Ranking
- 6. Project Management
- mmPREMIUM, Price Premium
- mmPRESS, Product Performance Index
- 7. Price Indexes
- 8. Queuing Theory
- mmRANGE
- mmREBUY, Repeat Purchase Rate
- mmREBUYS, Estimated Number of Re-Purchases
- mmRELATIVE
- mmSAMPLE, Sample Size
- mmSAMPLEMIN, Minimum Sample for Significant Values
- mmSEASON, Seasonality Indexes
- mmSHARE
- mmSIGNIF, Significance Test
- mmVARc, Coefficient of Variation
- Cluster Analysis
- CrossTab
- Descriptive Analyst
- Gravitation Analysis
- Proportion Analyst
- Sample Manager
- Segmentation Tree
- Variation Analyst
- 3. Charts and Maps
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- help
- Part 1. Introduction to MM4XL
- Part 2. MM4XL Tools
- 1. Strategic Tools
- BCG Matrix
- Brand Mapping
- Brand Switch
- Decision Tree
- Forecast Manager
- McKinsey Matrix
- Profile Manager
- Quality Manager
- Risk Analyst
- 1. How to run Risk Analyst
- 2. Simulation Never heard of it
- 3. Examples
- 4. Functions
- 1. Property Functions
- 2. Utility Functions
- 3. Distribution Functions
- mmBETA (Scale, Shape)
- mmBETAGEN (Scale, Shape, [Optional: Lower], [Optional: Upper])
- mmBINOMIAL (Trials, Successes)
- mmCHI2 (Degrees)
- mmDISCRETE (InputRange, Probabilities)
- mmERF (Mean)
- mmERLANG (Scale, Shape)
- mmEXPON (Mean)
- mmEXTVAL (ModalValue, StDeviation)
- mmGAMMA (Scale, Shape)
- mmGAUSSINV (Mean, Scale)
- mmGEO (Trials)
- mmHYPERGEO (Sample, Defects, BatchSize)
- mmINTUNI (Lower, Upper)
- mmLOGISTIC (Mean, StDeviation)
- mmLOGNORMAL (Mean, StDeviation)
- mmNEGBIN (Failures, Successes)
- mmNORMAL (Mean, StDeviation)
- mmPARETO (Location, ModalValue)
- mmPARETO2 (Location, ModalValue)
- mmPERT (Lower, ModalValue, Upper)
- mmPOISSON (Mean)
- mmRANDBETWEEN (Lower, Upper)
- mmRAYLEIGH (ModalValue)
- mmSTUDENT (Degrees)
- mmTRI (Lower, ModalValue, Upper)
- mmUNIFORM (Lower, Upper)
- mmWEIBULL (Life, Shape)
- Probability functions
- Risk Analyst Expert in a Few Minutes
- Introduction to Decision Analysis
- Introducing Risk Analyst with an example
- Technicalities
- Sources
- 2. Analytical Tools
- Business Formulas
- 1. Customer Satisfaction
- 2. Database Functions
- 3. Forecast Errors
- 4. Opportunity Index
- 5. Performance Ranking
- 6. Project Management
- 7. Price Indexes
- 8. Queuing Theory
- mmBASS, Bass Diffusion Model
- mmBEI, Brand Equity Index
- mmBEP, Break-Even Point
- mmBEPR, Break-Even Point with Fixed Rate of Return
- mmBUYRATE, Purchase Rate Model
- mmCAGR, Compound Annual Growth
- mmCHIp, Chi Squared Test
- mmCODING, Coding of variables
- mmDHMS, Number to Time
- mmEI, Evolution Index
- mmEXPECT, Expected values
- mmGROWTH
- mmGROWTHBACK
- mmGRP, Gross Rating Points
- mmHERF, Herfindahl Index
- mmINTERPOLE, Linear Interpolation
- mmLEARN, Learning Curve
- mmMSAR, Market Share to Advertising Ratio
- mmPREMIUM, Price Premium
- mmPRESS, Product Performance Index
- mmRANGE
- mmREBUY, Repeat Purchase Rate
- mmREBUYS, Estimated Number of Re-Purchases
- mmRELATIVE
- mmSAMPLE, Sample Size
- mmSAMPLEMIN, Minimum Sample for Significant Values
- mmSEASON, Seasonality Indexes
- mmSHARE
- mmSIGNIF, Significance Test
- mmVARc, Coefficient of Variation
- Cluster Analysis
- CrossTab
- Descriptive Analyst
- Gravitation Analysis
- Proportion Analyst
- Sample Manager
- Segmentation Tree
- Variation Analyst
- 3. Charts and Maps
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mytest > help > Part 2. MM4XL Tools > 1. Strategic Tools > Brand Switch > Brand Switch Analyst in a Nutshell
Brand Switch Analyst Brand Switch Analyst in a Nutshell Brand Switch Analyst makes the analysis of brand switch behavior, which is the tendency of consumers to change preference between comparable products. This is vital information for fostering strategic thinking in managers aware of the importance of customer retention. It is very easy to use Brand Switch Analyst. The only data needed is the sales of several competitors for two or more time periods. The output consists of figures and charts that, for each product, show the amount of sales or market share won from or lost to competitors. Switch rates can highlight competitive weaknesses in the brand preference dynamics of competing products, which in turn makes it possible to allocate marketing resources in a more targeted way and, hopefully, to increase success. Finally, Brand Switch Analyst can also be used as a forecasting tool for projecting market shares and trends up to their steady point, that is the point in time when no more changes occur. Why should I use Brand Switch Analyst? Professor Kotler said: Marketing executives must watch their market shares just as much as their profits. Present customers can never be taken for granted. Although written in 1963, this statement is still of great actuality, and in part it has also inspired the development of Brand Switch Analyst. Market share is seen as a major means of determining competitive position and the following three factors determine its structure: - The management's ability to retain present customers, also called Retention Rate or Brand Loyalty Index
- The management's ability to draw customers away from competitors, that is the Switching-in Rate
- The tendency for a brand to lose customers, that is the Switching-out Rate
Brand Switch Analyst makes accurate estimates of switch and retention rates, which otherwise would be estimated using expensive marketing research surveys. It is a tool that can be used for challenging business axioms and to reinvigorate the strategic discussion within teams. It allows looking at data from a different perspective when segmenting customer preferences and competing products. It is also useful for developing functional know-how, for instance, for marketing analysts interested in quantitative techniques. Important Note: Brand Switch Analyst uses Solver for solving the quadratic programming and estimating switch rates. Therefore, Solver must be installed and started at least once (before you start Brand Switch Analyst call from the Excel menu Tools |