But you can run successful courses with a mail list and zoom calls
Focus on the following 8 points to create courses that will sell:
I've sold 2000+ courses in the past 4 years and made $200,000+. Here's how to create online courses that sell like a Black Friday Sale:
-Thread🧵-
But you can run successful courses with a mail list and zoom calls
Focus on the following 8 points to create courses that will sell:
It will be challenging to know the exact problem and solution if you don't have an online audience.
Even a small audience of 1000 people can make a huge difference
Paid ads are an option too if you have a budget but nothing is better than an audience
You will find it easier to find a unique solution if you have:
• Solved a problem for yourself or others
• Gained expertise in an area
• Mastered a skill
Lean into that and use feedback to find out how you can maximize the value
What's the 'zero-to-hero' transformation you can provide through your course?
For ex:
• Better health
• Wealth
• A Job
Also, people want to minimise the pain/time they have to invest.
If you can do that, they will give you their money.
A lead magnet can be an ebook, mini-course, email course, etc.
My YouTube channel has been doing the same for me.
Nobody wants to buy from strangers.
Your lead magnet will help you connect with your customers and build trust with them.
You don't need to have all of your content ready before you start selling
Sell it based on your unique formula and transformation
Provide a schedule to finish the rest of the course
You will understand your clients better by listening to their problems
Everybody hates bad customer support
You can improve any existing course with a better support
Offer 1-1 sessions, mail and call support to improve customer satisfaction
Every customer can be your brand ambassador
You don't want to create courses that can be finished in a day and also courses that will take more than a year
Ideally, limit the upper limit to 3 months if possible or the completion rate would be extremely low
It's always painful for customers to spend money
Use every method to reduce that pain.
Giving refund within 1 week or 1 month will help you much more than fighting with a dissatisfied customer
1. Grow an Audience
2. Understand the Problem
3. Sell the Transformation
4. Create a Lead Magnet
5. Pre-sell the course
6. Provide the Best Customer Support
7. Maintain a Time Limit
8. Promise a Refund
If you learned something from this thread:
Follow me @AadityaPsp for more of these https://t.co/GPJhRW6kgc
I've sold 2000+ courses in the past 4 years and made $200,000+. Here's how to create online courses that sell like a Black Friday Sale:
— Aditya Pratap Singh (@AadityaPsp) September 30, 2022
-Thread\U0001f9f5-
More from All
How can we use language supervision to learn better visual representations for robotics?
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)
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@franciscodeasis https://t.co/OuQaBRFPu7
Unfortunately the "This work includes the identification of viral sequences in bat samples, and has resulted in the isolation of three bat SARS-related coronaviruses that are now used as reagents to test therapeutics and vaccines." were BEFORE the
chimeric infectious clone grants were there.https://t.co/DAArwFkz6v is in 2017, Rs4231.
https://t.co/UgXygDjYbW is in 2016, RsSHC014 and RsWIV16.
https://t.co/krO69CsJ94 is in 2013, RsWIV1. notice that this is before the beginning of the project
starting in 2016. Also remember that they told about only 3 isolates/live viruses. RsSHC014 is a live infectious clone that is just as alive as those other "Isolates".
P.D. somehow is able to use funds that he have yet recieved yet, and send results and sequences from late 2019 back in time into 2015,2013 and 2016!
https://t.co/4wC7k1Lh54 Ref 3: Why ALL your pangolin samples were PCR negative? to avoid deep sequencing and accidentally reveal Paguma Larvata and Oryctolagus Cuniculus?
Unfortunately the "This work includes the identification of viral sequences in bat samples, and has resulted in the isolation of three bat SARS-related coronaviruses that are now used as reagents to test therapeutics and vaccines." were BEFORE the
chimeric infectious clone grants were there.https://t.co/DAArwFkz6v is in 2017, Rs4231.
https://t.co/UgXygDjYbW is in 2016, RsSHC014 and RsWIV16.
https://t.co/krO69CsJ94 is in 2013, RsWIV1. notice that this is before the beginning of the project
starting in 2016. Also remember that they told about only 3 isolates/live viruses. RsSHC014 is a live infectious clone that is just as alive as those other "Isolates".
P.D. somehow is able to use funds that he have yet recieved yet, and send results and sequences from late 2019 back in time into 2015,2013 and 2016!
https://t.co/4wC7k1Lh54 Ref 3: Why ALL your pangolin samples were PCR negative? to avoid deep sequencing and accidentally reveal Paguma Larvata and Oryctolagus Cuniculus?
