#1: Where to Learn Marketing
Marketing School - Digital Marketing and Online Marketing Tips
In Episode #1 Eric and Neil introduce the world to The Marketing School—a daily podcast built to share marketing insights with the world. Today’s main topic: where you can go to learn marketing.
Show Notes:
- 01:36 – Do you want learn about online marketing?—Don’t go to college!
-
- 02:22 – College professors don’t have practical, up-to-date, field experience
- 02:31 – Go to blogs like www.moz.com, www.backlinko.com, www.singlegrain.com
-
- 02:45 – Read some articles, take what you learn, and apply it to your website
- 03:19 – Every single online marketer that’s good got started on their own website
- 03:27 – Learn before you earn
- 04:01 – Learn to be persistent
- 04:35 – Small wins add up over time
- 04:45 – How Neil become Eric’s mentor
- 05:29 – Keep your foot on the peddle and you’ll start to pass everyone around you
- 06:00 – Like Eric, Neil got his start by emailing a random entrepreneur he looked up to
- 07:29 – Be willing to trade knowledge all the time
- 08:03 – How Eric learns marketing now?—Nuzzel
- 08:35 – www.Kissmetrics.com
- 08:55 – Feed.ly and www.jonloomer.com
- 09:19 – Neil just learns by CRUSHING blogs and articles—he picks the ones with the most social shares
- 10:32 – Education is about actionable material
- 11:15 – Subscribe to this podcast on iTunes!
3 Key Points:
- Only read detailed articles or guides—skip the generic overview stuff.
- Understand that you have to learn before you earn, and then be persistent with your education.
- If you want to get into marketing, start experimenting on your own website.
Resources Mentioned:
- www.moz.com – Blog recommended by Neil
- www.backlinko.com – Blog recommended by Neil
- www.singlegrain.com – Blog recommended by Neil
- www.kissmetrics.com – Resource Eric relies on to improve his marketing knowledge
- Nuzzel – Tool Eric uses to organize and catalog his Twitter feeds
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:
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.