How You Can Leverage Content Marketing When You Suck at Writing | Ep. #579
Marketing School - Digital Marketing and Online Marketing Tips
In episode #579, Eric and Neil explain how you can create great content when you suck at writing. Tune in to hear great tips on creating killer content with less-than-stellar writing skills.
TIME-STAMPED SHOW NOTES:
- [00:27] Today’s Topic: How You Can Leverage Content Marketing When You Suck at Writing
- [00:45] Just because you’re not good at writing, it’s ok! Everyone starts somewhere.
- [01:04] Think about your strong suit (what Eric calls your “content foundation”) and build out from there.
- [01:15] If Eric and Neil didn’t like writing, they could have just started with this podcast.
- [01:25] They have the podcast transcribed by Rev and they also get shownotes written by Podcast Motor; this means that things are being written without them having to write a single word.
- [01:46] Go to Jobs.problogger.net and hire a writer.
- [02:12] Use short and to the point paragraphs; this makes it easier to skim.
- [02:27] Use subheadings in your posts.
- [02:32] You need to have an intro with a hook.
- [02:55] A strong headline is key to getting readers.
- [03:22] Copyblogger will give you some examples of great headline formulas.
- [03:41] When you hire a writer, always give them an outline and make sure to get on the phone with them, so you’re on the same page.
- [04:06] You don’t have to be a good writer, you just have to be able to communicate well with a good writer.
- [04:25] Gary Vee doesn’t even write his own blogs; he gives ideas and outlines, but the content is written by someone else.
- [05:01] If you’re producing content, use the content re-usage workflow as a framework.
- [05:28] Content marketing is a 12-18 month journey from inception to results.
- [05:35] If you’re not the best writer and you can’t afford to hire someone, use Eric and Neil’s framework and just go out and write. The more you write, the better at it you will get.
- [05:55] You may notice that Neil has awful grammar and cannot spell; it’s ok, because he is providing valuable information.
- [06:35] That’s it for today!
- [06:38] Go to Singlegrain.com/Giveway for a special marketing tool giveaway!
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.