7 Marketing Trends for 2020 | Ep. #1228
Marketing School - Digital Marketing and Online Marketing Tips
In episode #1228, we discuss seven marketing trends that we see happening in 2020! 2019 has been a wild year and some things are falling by the wayside, while others are on the up. Our big predictions are the rise of voice search, tiered monetization, TikTok, business intelligence, AI, new communication strategies, and the only moat that will still exist in marketing! Tune in to sharpen your perspectives about what 2020 could bring you and vice versa.
TIME-STAMPED SHOW NOTES:
- [00:25] Today’s topic: Seven Marketing Trends for 2020.
- [00:30] How and why you should become compatible with voice search.
- [01:07] Ways that tiered monetization audience/creator arrangements have room to grow.
- [02:20] Why to focus on business intelligence and not just front end analytics.
- [03:27] The value of utilizing AI in any way possible for business optimization.
- [04:15] A drop in the effectiveness of email communication and how to get past it.
- [05:14] Why leveraging TikTok is still a great idea.
- [05:49] Personal brands are the only way to ward off other companies from copying you exactly.
- [03:20] That’s it for today!
- [03:24] To stay updated with events and learn more about our mastermind, go to the Marketing School site for more information.
Links Mentioned in Today’s Episode:
- Jetson AI
- Shopify
- WordPress
- Substack
- Supercast
- Leveling Up
- Google Analytics
- Amazon Prime
- Google Data Studio
- Pattern89
- Gmail
- Descript
- TikTok
- ByteDance
- Snapchat
- Vine
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.