Find out how much mail, email or outbound calls you'll need to send in order to forecast your next direct marketing campaign.
Example indicated shows that if a 2% response rate is expected, and you want a 95% Confidence Level that the next mailing will achieve the same result, then 18,865 mailers are needed to send as your test size.
Note 1: Enter the level of confidence desired in your test results. How many times out of 100 do you want to be able to rely on this test for a rollout? An 80% confidence level would mean that you could have a 1 in 5 times chance of being wrong! Enter 1.96 as a generally accepted 95% confidence level. Or enter 2.576 for a 99% confidence level, or 1.645 = 90% or 1.282 = 80%.
Note 2: This is set to calculate a +/-10% allowable error in your actual test responses. In the example provided, a 2% response with a 10% allowable error = .02%, which allows for a response rate as low as 1.8% or as high as 2.2% in order to maintain the confidence level needed in the test. However, you could enter .01% (5% of the expected 2% response rate) if you wanted only a +/-5% allowable error on a 2% expected response.