Global Certificate in Responsible Email Advertising
-- ViewingNowThe Global Certificate in Responsible Email Advertising is a crucial course for modern marketers. This certification focuses on ethical email advertising practices, ensuring learners understand the importance of responsible marketing and how to implement it effectively.
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⢠Email Advertising Basics: Understanding the fundamentals of email advertising, including the benefits and challenges, and how it fits into a larger marketing strategy.
⢠CAN-SPAM Act Compliance: A comprehensive overview of the CAN-SPAM Act, including its requirements and best practices for compliance.
⢠Email List Building: Strategies for building and maintaining a high-quality email list, including permission-based list growth and list segmentation.
⢠Email Design and Content: Best practices for creating effective email campaigns, including design, copywriting, and calls-to-action.
⢠Email Deliverability: Techniques for maximizing email deliverability, including list hygiene, sender reputation management, and avoiding spam filters.
⢠Analytics and Reporting: Using data and analytics to measure the success of email campaigns, track key performance indicators, and make data-driven decisions.
⢠Testing and Optimization: Methods for testing and optimizing email campaigns, including A/B testing, multivariate testing, and segmentation testing.
⢠Privacy and Data Security: Understanding the legal and ethical considerations surrounding privacy and data security in email advertising.
⢠Ethical Considerations: Examining the ethical considerations of email advertising, including permission-based marketing, transparency, and avoiding deceptive practices.
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Keywords: Email advertising, CAN-SPAM Act, email list building, email design, email deliverability, analytics and reporting, testing and optimization, privacy and data security, ethical considerations.
Secondary Keywords: Email marketing, permission-based marketing, email campaigns, sender reputation management, spam filters, key performance indicators, A/B testing, multivari
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