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Predictive Analytics

Our Predictive Analytics page is meant to help you plan, understand, and predict how future campaigns are going to run. The more campaigns you run, the more pertinent and accurate the predictions run. In order to have data for predictive analytics, you must first run at least one campaign.

Likelihood to open predicts the percentage chance of people opening emails in an ongoing email campaign. The likelihood to click represents the chance people are going to click on links within the email in an ongoing email campaign.

The audience health is a percentage broken up into four parts. It lets you know how engaged your customers/leads are. The percentages are the percent of your customers/leads that would be engaged with the content. The percentages dependent on with of the two graphs.

For open rate:

  • Poor: 0% – 5%
  • Fair: 5% – 10% 
  • Good: 10% – 20%
  • Excellent: Above 20%

For click rate:

  • Poor: 0% – 1%
  • Fair: 1% – 2% 
  • Good: 2% – 5%
  • Excellent: Above 5%

The two graphs corresponding to Likelihood to Open and Likelihood to Click show data from the last 7 days of actual open/click rates, so you can compare the prediction data to your actual campaign data.

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