Utilizing BERT (Bidirectional Encoder Representations from Transformers) machine learning can certainly help in improving the relevance and quality of your email content. BERT can assist in understanding the context and intent of the email’s text, which can lead to more accurate spam filtering and higher deliverability rates.

Here are some tips to consider when using BERT for your email content:

1. Avoid Spammy Language: BERT can help identify patterns in spammy language. Make sure your email content is clear, concise, and free of excessive use of capital letters, excessive exclamation points, and misleading phrases.
2. Personalization: BERT can help you personalize your emails based on the recipient’s preferences and previous interactions. Personalized emails are less likely to be flagged as spam.
3. Relevant Content: Ensure that your email content is relevant to the recipient’s interests. BERT can help you analyze the recipient’s behavior and preferences to craft emails that align with their needs.
4. Engaging Subject Lines: BERT can assist in creating subject lines that are engaging and relevant, which can increase the chances of your email being opened and read.
5. Avoid Keyword Stuffing: BERT can detect keyword stuffing, which is a common spam tactic. Use keywords naturally and don’t overuse them.
6. Unsubscribe Option: Include a clear and visible option for recipients to unsubscribe from your emails. This demonstrates transparency and helps maintain a positive sender reputation.
7. Use Legitimate Links: Ensure that any links in your email are valid and lead to reputable websites. BERT can help identify suspicious URLs that might trigger spam filters.
8. Quality Images: If you’re using images, make sure they are of good quality and relevant to the content. Avoid using too many images, as some spam filters might flag image-heavy emails.