How to Rank Higher on Google (Without Doing SEO) | Ep. #690
Marketing School - Digital Marketing and Online Marketing Tips
In episode #690, Eric and Neil discuss how you can rank higher on Google without using SEO. Tune in to hear why optimizing user experience is key.
TIME-STAMPED SHOW NOTES:
- [00:27] Today’s Topic: How to Rank Higher on Google (Without Doing SEO)
- [00:58] Check out Google Rank Brain.
- [01:10] There are backlinks, etc. but there is an ultimate factor that tells Google a result is relevant.
- [01:40] When you’re looking at user experience, bounce rate, etc., that is the ultimate signal that the result is relevant.
- [02:07] User experience is one of the most important aspects of a website. Optimize user experience.
- [02:20] Try UserTesting or UsabilityHub to examine your site.
- [02:45] Nothing beats talking to your users and hearing what they like and don’t like.
- [03:00] Once you have a big enough sample size, you can improve your site and rankings based on the solid amount of feedback.
- [03:25] If you are also trying to optimize for load times, try using GTMetrix to see how your site fares.
- [03:40] Eric’s site takes 10 seconds to load on mobile devices, which is far too long and it needs to be optimized.
- [04:15] When optimizing for usability, you need to test twice: once for desktops and another time for mobile devices.
- [04:30] You shouldn’t have separate mobile and desktop versions, just one killer site that works for everything.
- [05:15] Even if someone has an LTE or 4G phone, does not guarantee fast connections at all times.
- [05:36] When optimizing for user experience, make sure you’re running A/B tests.
- [05:58] Neil tested the pop-ups on his site and how it affected user experience on mobile and desktop.
- [06:27] That’s it for today!
- [06:33] 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.