A balance is basically a combination of sought percentages of the values in member profile fields of the total available response count. For example, you may want 40% male, 15% people who fall under 25-34 years of age group in your total response count.
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It's the process of ensuring that the sample data used for analysis is representative of the entire population.
This is particularly important when dealing with imbalanced datasets, where certain groups or categories are overrepresented or underrepresented. Balancing the sample can help in reducing bias and improving the accuracy and reliability of the analysis.
The procedure for adjusting the sample to match the population response rate is called Sample Balancing.
You can add a Sample Balancer by performing the following steps-
Go to: Analytics >> Balancing >> Add Sample Balancer
This is done automatically. After following the above steps, the following screen will display the computation of feasibility.
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