We have multiple sunset policies in place due to the nature of our business creating quite a lot of spam submissions.
Does anyone have a catch all or any tips for dealing with things like people inputting names such as "Kllkkklk Khlkj" I would like to be able to capture these and move to non-marketing but often the emails never trigger a bounce.
You're facing challenges with spam submissions and fictitious names like "Kllkkklk Khlkj" that don't trigger bounces. To combat this, consider the following strategies:
1. *Regex validation*: Implement regular expression (regex) patterns to validate names and emails. This can help filter out obvious spam inputs.
2. *Name formatting checks*: Enforce formatting rules for names, such as requiring a minimum length, specific characters, or a certain structure (e.g., First Name Last Name).
3. *Email verification*: Send a confirmation email to the provided address. If it bounces or remains unconfirmed, mark the submission as spam.
4. *Machine learning-based spam detection*: Train a machine learning model using your existing data to recognize patterns and predict spam likelihood.
5. *Honeypot fields*: Add hidden fields to your form that attract spam bots. If these fields are filled, the submission is likely spam.
6. *Captcha*: Implement a captcha challenge to ensure human input.
7. *IP blocking*: Block IP addresses with a high spam submission rate.
8. *Form analysis*: Monitor form submissions for suspicious patterns, such as rapid-fire submissions from the same IP.
9. *Human review*: Have a team review suspicious submissions to ensure accuracy.
10. *Continuous improvement*: Regularly update your spam detection rules and algorithms to adapt to evolving spam tactics.
Remember, a multi-layered approach is key to effective spam management. Combine these strategies to improve your defenses and reduce false negatives.
You're facing challenges with spam submissions and fictitious names like "Kllkkklk Khlkj" that don't trigger bounces. To combat this, consider the following strategies:
1. *Regex validation*: Implement regular expression (regex) patterns to validate names and emails. This can help filter out obvious spam inputs.
2. *Name formatting checks*: Enforce formatting rules for names, such as requiring a minimum length, specific characters, or a certain structure (e.g., First Name Last Name).
3. *Email verification*: Send a confirmation email to the provided address. If it bounces or remains unconfirmed, mark the submission as spam.
4. *Machine learning-based spam detection*: Train a machine learning model using your existing data to recognize patterns and predict spam likelihood.
5. *Honeypot fields*: Add hidden fields to your form that attract spam bots. If these fields are filled, the submission is likely spam.
6. *Captcha*: Implement a captcha challenge to ensure human input.
7. *IP blocking*: Block IP addresses with a high spam submission rate.
8. *Form analysis*: Monitor form submissions for suspicious patterns, such as rapid-fire submissions from the same IP.
9. *Human review*: Have a team review suspicious submissions to ensure accuracy.
10. *Continuous improvement*: Regularly update your spam detection rules and algorithms to adapt to evolving spam tactics.
Remember, a multi-layered approach is key to effective spam management. Combine these strategies to improve your defenses and reduce false negatives.
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