Is It Better to Charge a Monthly Fee or a One-Time Fee | Ep. #756
Marketing School - Digital Marketing and Online Marketing Tips
In episode #756, Eric and Neil discuss whether it is better to charge a monthly fee or a one-time fee. Tune in to hear which is more lucrative.
TIME-STAMPED SHOW NOTES:
- [00:27] Today’s Topic: Is It Better to Charge a Monthly Fee or a One-Time Fee
- [00:40] If you have a monthly fee, look at the lifetime value of your customer.
- [00:45] Think about charging a one-time that is more or equivalent to your LTV and see if that generates more revenue.
- [01:05] People like the concept of a one-time fee.
- [01:24] It’s a much more appealing marketing message.
- [01:33] You have to be testing!
- [02:37] If your average customer only lasts one year, it’s more beneficial to charge up front.
- [02:56] Neil tested out up-front payment and a payment plan and found that up-front was the best system for his business.
- [03:25] If you charge a one-time fee for a lot of stuff, this holds greater appeal.
- [04:05] It’s all about the lifetime value of your customer: this is the best way to determine your pricing structure.
- [04:43] If you’re doing a subscription thing, you can use a dashboard that will track your clients and payments.
- [05:04] Price Intelligently is a great resource.
- [05:18] If you want to try a monthly fee, consider sticking with an up-front fee, but test it out first.
- [05:40] That’s all for today!
- [05:44] If you could take two minutes out of your day, we are trying to improve the listening experience for you, so go to Singlegrain.com/survey and help us gain some insight into what matters to our listeners.
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.