How to Run and Manage Your Marketing Experiments | Ep. #713
Marketing School - Digital Marketing and Online Marketing Tips
In episode #713, Eric and Neil discuss how and why you need to manage your experiments. Tune in to hear how you can manage marketing experiments successfully.
TIME-STAMPED SHOW NOTES:
- [00:27] Today’s Topic: How to Run and Manage Your Marketing Experiments
- [00:35] Neil likes to use Trello to manage his marketing experiments.
- [00:45] Everyone puts their ideas on the board and then they pick the best ones.
- [01:00] Don’t spend six months on something that doesn’t work. Start with smaller experiments.
- [01:22] Eric uses Asana Premium to organize his experiments.
- [01:58] GrowthHackers Northstar is a great tool, but Neil thinks they won’t be around much longer.
- [02:25] Make sure you’re spending time and energy on things you can get done quickly.
- [02:50] Everyone had a different perspective, which is why it’s great to get input and ideas from everyone on your team.
- [03:31] Only 1 in 12 experiments actually succeeds.
- [03:48] Neil thinks that stat means that whoever is running your experiments sucks.
- [04:05] Don’t forget to do qualitative studies.
- [05:15] If you’ve been running experiments for a long time, this is when you need to do something more drastic and crazy to move the needle.
- [05:45] Northstar uses the ICE Framework.
- [06:07] Eric recommends that you read Managing Oneself by Peter Drucker, a management guru.
- [06:45] You should have a feedback analysis tool to see who on your team is killing it.
- [07:05] If you’re not being scientific about your experimentation process, you are going to fly off the rails.
- [07:30] Don’t operate solely off your “gut feeling”; use qualitative and quantitative data to come to your conclusions.
- [07:44] That’s it for today!
- [07:47] Go to Singlegrain.com/Giveaway 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.
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.