What Does Boosting a Facebook Post Actually Do? | Ep. #263
Marketing School - Digital Marketing and Online Marketing Tips
In Episode #263, Eric and Neil discuss what boosting a Facebook post actually does. Tune in to learn the benefits of boosting a Facebook post, whether it’s right for your company, and how to bank off that increase of traffic and engagement.
Time Stamped Show Notes:- 00:27 – Today’s topic: What Boosting a Facebook Post Actually Does
- 00:40 – Eric gets more emails when they boost a post
- 00:55 – Boosting a post makes it easier for Eric to test new content
- 01:13 – Eric is more interested in collecting more email addresses when he boosts a post
- 01:34 – Initially, boosting a post results in more engagement; then, you try to see if you can collect more emails from the CPA and from there, see if you can make an ad campaign from it
- 01:47 – Neil isn’t fond of the idea of boosting Facebook posts and would rather buy friends
- 01:55 – If you’re boosting a post, make sure your post has an email capture
- 02:21 – If you’re going to spend money on Facebook, spend it going to a landing page or getting more fans
- 02:36 – Neil hates the concept of boosting a post, but has seen it successfully done
- 03:00 – Eric has done live videos in the past and would boost to their live audience, then retarget them
- 03:15 – At the end of the day, it is figuring out what works for you
- 03:54 – The value of Facebook Live has grown a lot
- 04:10 – That’s it for today’s episode!
- The goal of boosting a post is to grow your audience and increase that engagement with your content.
- You spend money to increase your Facebook presence, so make sure you are also leading your audience to your website.
- Find out what works best for you and suits you well – tests are invaluable for finding this out.
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.