What Should You Do With Your Blog Posts That Generate Traffic And No Revenue | Ep. #777
Marketing School - Digital Marketing and Online Marketing Tips
In episode #777, Eric and Neil discuss what you should do with blog posts that generate traffic and no revenue. Tune in to hear what you can do to turn things around.
TIME-STAMPED SHOW NOTES:
- [00:27] Today’s Topic: What Should You Do With Your Blog Posts That Generate Traffic And No Revenue
- [00:40] Neil has tons of posts that rank, but they aren’t what his clients are looking for.
- [01:04] You can put in affiliate links or promote other products and services, which will help generate revenue.
- [01:20] Eric’s friend ranks for a page that is about a product or service he doesn’t offer, so he goes to a company that does offer that service and charges them to rent the page.
- [01:45] You could partner with someone else who has the ideal audience.
- [02:38] A relevant pop-up can be helpful.
- [02:50] Pop-ups can help you generate leads.
- [04:14] It is important to create a process to be on top of redirecting traffic, so that they don’t just bounce.
- [04:45] Nurturing customers is really tough.
- [05:00] When you have a business development relationship, it can be an amazing fit that allows you to not worry about taking on more work.
- [05:54] At the end of the day, business is a people game.
- [06:05] That’s all for today!
- [06:10] Go here to see how many downloads the show is getting. Also rate and review to help Eric and Neil meet their goal of 1 Million downloads per month. They will throw a live event once they reach their goal.
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.
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.