The Biggest Lesson Neil Learned From Sending Out 255 Million Emails
Marketing School - Digital Marketing and Online Marketing Tips
In episode #2460, Neil shares his biggest lesson from sending out 255 million emails. Tune in to find out what he has learned about email segmentation in today’s world, how he creates more targeted contact lists, how you can leverage AI to help you, and more!
TIME-STAMPED SHOW NOTES:
- [00:00] Today’s topic: The Biggest Lesson Neil Learned From Sending Out 255 Million Emails.
- [00:55] How Neil has had to change his strategy when it comes to email segmentation.
- [01:47] The different areas of marketing that Neil’s subscribers might be interested in.
- [02:05] Advice for creating smaller, more targeted groups.
- [02:15] Ways that AI can help you craft customized emails.
- [02:27] Differences in revenue that result from segmenting versus not segmenting.
- [03:04] An example of a clever customized email solution that Neil learned about recently.
- [03:43] 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!
- Google Bard
- ChatGPT
- Accelerate 23
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.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
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.