#2: Neil & Eric's Biggest Marketing Wins
Marketing School - Digital Marketing and Online Marketing Tips
Welcome to The Marketing School Podcast—your resource to learn, grown, and nurture your passion for online marketing! In Episode #2 Eric and Neil center the conversation on, Their Biggest Marketing Wins. Enjoy!
Show Notes:
- 00:42 – Neil kicks off the conversation
-
- 00:55 – Authenticate sign-ups through Facebook or Gmail
- 01:29 – Eliminate the friction of signing up
- 01:53 – This ONE trick helped Neil double their sign-up numbers
- 02:18 – When you’re writing content, what is your goal?
-
- 02:43 – Defining the content upgrade
- 03:30 – Offering content upgrades led to a roughly 10% conversion increase
- 04:12 – Thrive—a GREAT plugin especially when combined with leadpages
- 05:25 – Link your content to detailed guides
- 05:47 – Go ABOVE AND BEYOND and you’ll have better content than your competition every time
- 06:14 – Don’t litter your guides with fluff—be detailed
- 07:05 – SEM Rush
- 07:50 – Get the traction first—you need to hit singles before you can hit homeruns
-
- 08:19 – Betting the house on YouTube Marketing
- 08:55 – Snapchat 10B views per day
- 09:12 – The things that require the most work are the things that have the biggest payoff
- 09:52 – Translate your content into other languages
3 Key Points:
- Most of the stuff on the internet is for English-speaking people, but most people in the world don’t speak English—translate your content.
- Go above and beyond—that which requires the most work comes with the biggest rewards.
- When you’re creating content, always be cognizant of your end-goal.
Resources Mentioned:
- SEM Rush – Tool Eric loves
- Thrive – a GREAT plugin recommended by Neil, particularly when it is combined with Leadpages
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.