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Marketing Optimization
Predictive Analytics Use Case
A company can determine the influence of the marketing
and advertising campaigns on sales and identify whether
marketing expenses are effective for the business and
optmize the marketing budget to increase sales or ROI.
Marketing Optimization
Sample Application
Description
Target
Sales
Marketing Optimization
Sample Application
• Advertisement expense
• Vacancy
• Wholesale gap
Influencing
Factors
Marketing Optimization
Sample Application
To solve this problem, we first need to identify the
relationship between advertisement expense and sales
using a correlation algorithm. Correlation is a statistical
measure that indicates the extent to which two variables
fluctuate together.
• A positive correlation indicates the extent to which those
variables increase or decrease in parallel.
• A negative correlation indicates the extent to which one
variable increases as the other decreases.
Algorithm(s)
Marketing Optimization
Sample Application
Correlation
Model
Visualisation
Marketing Optimization
Sample Application
Marketing Optimization
Sample Application
Correlation
Interpretation
Marketing Optimization
Sample Application
Correlation
Result
The correlation coefficient value indicates the strength of the
relationship.
Once the relationship is identified, we can further predict
sales using regression algorithm.
• Multiple Linear Regression is a technique that attempts to
explore the relationship between two or more
independent variables and one dependent variable.
• The higher the R-square value of a model(>=0.7), the
better the accuracy of the model.
• A lower R-square value of a model(<0.7) means the model
needs to be rebuilt using different input parameters or the
input dataset doesn't exhibit a structure suitable for
regression.
Algorithm(s)
Marketing Optimization
Sample Application
Regression
Model
Visualisation
Marketing Optimization
Sample Application
Regression
Model
Visualisation
Marketing Optimization
Sample Application
Regression
Model
Visualisation
Marketing Optimization
Sample Application
Marketing Optimization
Sample Application
Regression
Model
Summary
Marketing Optimization
Sample Application
Regression
Interpretation
Marketing Optimization
Sample Application
Regression
Result
Predicted sales
Marketing Optimization
Sample Application
Regression
Result
Sales prediction with accuracy value (R-square value) based on
advertisement expense, wholesale gap and vacancy can be
performed using APPLY functionality as shown below
Marketing Optimization
Sample Application
Regression
Result
Marketing Optimization
Predictive Analytics Use Case
For more information, contact us today.
www.Smarten.com
contact@Smarten.com
Smarten – Marketing Optimization Use Case - 2019

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Marketing Optimization Augmented Analytics Use Cases - Smarten