Audience TAM vs Revenue TAM
Marketing School - Digital Marketing and Online Marketing Tips
In episode #2625, We discuss the difference between audience TAM (Total Addressable Market) and revenue TAM. We explain that venture capitalists often look at the total addressable market when investing in companies, leading to higher market caps. However, in business, the focus should be on revenue TAM and the size of the spending market. We provide examples of content that generates a large audience TAM but doesn't drive revenue. We emphasize the importance of understanding when to build reach versus when to convert, and the need to prioritize revenue TAM for business growth.
Don’t forget to help us grow by subscribing and liking on YouTube!
Check out more of Eric’s content (Leveling UP YT) and Neil’s videos (Neil Patel YT)
TIME-STAMPED SHOW NOTES:
- (00:00) Today’s topic: Audience TAM vs Revenue TAM
- (00:41) Difference between audience TAM and revenue TAM
- (01:09) Importance of revenue TAM in generating business revenue
- (01:48) Building a personal brand requires a massive audience TAM
- (02:13) Example of Salesforce and their focus on revenue TAM
- (02:41) Difficulty in generating likes for revenue-focused content
- (03:29) Balancing reach and conversion in business strategies
- (03:53) Easier to grow a business with a massive revenue TAM
- (04:11) Understanding when to focus on reach vs conversion
- (04:53) Audience TAM can be a distraction if it does not lead to business outcomes.
- (05:12) That’s it for today! Don’t forget to rate, review, and subscribe!
Go to https://www.marketingschool.io to learn more!
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:
- Single Grain << Eric’s ad agency
- NP Digital << Neil’s ad agency
- X @neilpatel
- X @ericosiu
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.