Why Newsletters Are Making a Comeback (and Why You Should Care)
Marketing School - Digital Marketing and Online Marketing Tips
In episode #2462, we discuss why newsletters are making a comeback. Recently, Neil shared the biggest lesson he learned from sending out hundreds of millions of emails, and today, we take a look at how you can use newsletters to take control of your marketing! Tune in for some tools and strategies to help you scale your email marketing, boost your clicks, accelerate conversion rates, and so much more.
TIME-STAMPED SHOW NOTES:
- [00:00] Today’s topic: Why Newsletters Are Making a Comeback (and Why You Should Care).
- [00:10] Ways that email marketing has changed and evolved in recent years.
- [00:50] How personalization can boost your open rates and click rates.
- [01:46] Why newsletters are a great tool to help you take control of your marketing.
- [03:14] How to find out where subscribers are coming from and segment lists automatically.
- [04:02] Customized interactive email solutions that could see your conversion rates skyrocket.
- [05:12] Recommended tools to power your newsletter.
- [05:38] That’s it for today! Don’t forget to rate, review, and subscribe!
Go to https://www.marketingschool.io to learn more!
Links Mentioned in Today’s Episode:
- Don’t forget to help us grow by subscribing and liking on YouTube!
- Ep. 2460: The Biggest Lesson Neil Learned From Sending Out 255 Million Emails
- Accelerate 23
- ConvertKit
- beehiiv
Leave Some Feedback:
- What should we talk about next? Please let us know in the comments below
- Did you enjoy this episode? If so, please leave a short review.
Connect with Us:
- Single Grain << Eric’s ad agency
- NP Digital << Neil’s ad agency
- Twitter @neilpatel
- Twitter @ericosiu
Learn more about your ad choices. Visit megaphone.fm/adchoices
See omnystudio.com/listener for privacy information.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.