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Can Machine Learning decide whether an email is spam?

Can Machine Learning decide whether an email is spam?

The machine learning model used by Google have now advanced to the point that it can detect and filter out spam and phishing emails with about 99.9 percent accuracy.

Which two metrics will help you understand which emails people are responding to and engaging with while continuously helping improve your emails?

Let’s take a look at the top three email marketing metrics.

  • Delivery rates. This metric is the main starting point of your email campaign and is a great metric to monitor the strength of your email list.
  • Open rates.
  • Click through rates.
  • Bounce rate on campaign landing pages.
  • Revenue per email and conversion rate.
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Is machine learning and artificial intelligence are same Justify your answer?

Artificial intelligence is a technology which enables a machine to simulate human behavior. Machine learning is a subset of AI which allows a machine to automatically learn from past data without programming explicitly. The goal of AI is to make a smart computer system like humans to solve complex problems.

How can you improve CTR of your emails?

11 Guaranteed Ways to Increase Email Click-Through Rate

  1. 1.) Test your subject lines.
  2. 2.) Less is more with copy.
  3. 3.) Include social sharing options.
  4. 4.) Segment your email lists.
  5. 5.) Offer targeted content.
  6. 6.) Personalize your emails.
  7. 7.) Remove distractions from the email.
  8. 9.)

How do you analyze email performance?

Metrics You Must Track

  1. Click-through rate = (total clicks or unique clicks/number of delivered emails) x 100.
  2. Bounce rate = (total number of bounced emails/number of emails sent) * 100.
  3. Conversion rate = (number of people who completed the desired action/number of emails delivered) * 100.