Is Blog Commenting Dead? | Ep. #367
Marketing School - Digital Marketing and Online Marketing Tips
In Episode #367, Eric and Neil discuss whether blog commenting is dead. Tune in to learn why blog commenting is NOT dead in Eric and Neil’s opinion. They’ll list the reasons why they still do it and explain the benefits you can gain from interacting with your audience.
Time Stamped Show Notes:- 00:27 – Today’s topic: Is Blog Commenting Dead?
- 01:05 – Nowadays, blog commenting still drives traffic, but not as much as it did before
- 01:13 – For niche blogs, blog commenting will still work
- 01:17 – What works is that people come to your blog and you build a rapport with them—because of this relationship, they are more likely to convert
- 01:45 – Some big publications have shut off their blog comments
- 02:00 – For Neil’s blog, which has educational value, people leave productive comments and build a relationship with him
- 02:15 – Neil has dedicated time to respond to the comments
- 02:42 – Even if there’s only one person who leaves a comment, you still have to respond
- 03:00 – Marketing School is giving away a free 1 year subscription to Crazy Egg which is a visual analytics tool
- 03:45 – Go to SingleGrain.com/giveaway for multiple entries
- 03:54 – That’s it for today’s episode!
- Blog commenting STILL works when it comes to driving traffic to your site.
- Build a rapport and relationship with your blog followers by responding to their comments.
- Blog commenting is NOT dead; in fact, it’s a tool that will help you increase your conversion rates.
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.