Beginner's Guide to Quora Ads | Ep. #408
Marketing School - Digital Marketing and Online Marketing Tips
In Episode #408, Eric and Neil provide the beginner’s guide to Quora ads. Tune in to learn what you need to know to start advertising on Quora and why now is the right time opt in!
Time Stamped Show Notes:- 00:27 – Today’s topic: Beginner's Guide to Quora Ads
- 00:59 – Quora is a questions and answers site which generates tons of traffic
- 01:29 – Quora’s valuation is currently over one billion dollars
- 01:42 – When Eric goes on to Quora, he sees people like Jason Lemkin
- 01:59 – You can have your ads show up with a question or something catchy
- 02:19 – Quora ads is currently cheap
- 02:34 – One of Eric’s clients, Lever, is an applicant tracking system
- 02:40 – An applicant tracking system helps you manage the whole hiring process
- 03:07 – Lever has an ad that shows up in Quora when a question related to the hiring process comes up
- 03:29 – You want to advertise to people who are asking questions related to your product
- 04:14 – “The numbers have to work for you”
- 04:30 – Eric is currently running an ad on Quora for their e-book
- 04:40 – The conversion rate to their landing page is 20%
- 04:53 – Cost per click is $3 but the conversion rate is around $15
- 05:45 – Cost per click varies
- 06:27 – Marketing School is giving away a free 1 year subscription to Crazy Egg which is a visual analytics tool
- 07:10 – Go to SingleGrain.com/giveaway for multiple entries
- 07:22 – That’s it for today’s episode!
- Quora currently generates tons of traffic—this is a great place to implement your ads.
- You target Quora ads to the people who ask questions related to your business service or product.
- Leverage Quora ads NOW as the costs are still low and the conversions are high.
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.