Basically, anything that causes a reaction in people.
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Despite having many different formulas to get a lot of engagement, keep in mind that not all of those will make people want to keep you close.
(That's the reason why that 20,000-likes viral tweet got you only 100 new followers.)
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You have to think:
What's the type of content that will make yourself follow others?
Not like, not retweet, not comment, but actually *follow* people?
There's a high probability that a lot of people act just like you. What works for you, may also work for them.
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If you got to this point, you realize that most of what I've said translates into "Content. Content. Content."
That's the key.
To make people want to stick around, you also want to optimize your profile. This is not as important as your content, but it's not irrelevant.
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Experiment with your avatar, background image, and most importantly, your bio.
I've done a lot of experiments. The bio I have right now converts 50-60% more followers than the last version I had.
Try different things and measure the results.
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Finally, a couple of approaches you could follow to improve the content you post:
1. If you had to pick only 3 people to follow, who would they be? Why is that?
Look at what they do. Imitate them (don't just copy them, but try to understand their formula.)
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2. The second strategy is to tell people your story. What are you doing every day? How are you doing it? What challenges are you facing? What did you learn?
People love to hear about what others are going through.
Hope this helps!
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I had a breakthrough that turned a Deep Learning problem on its head!
Here is the story.
Here is the lesson I learned.
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No, I did not cure cancer.
This story is about a classification problem —specifically, computer vision.
I get images, and I need to determine the objects represented by them.
I have a ton of training data. I'm doing Deep Learning.
Life is good so far.
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I'm using transfer learning.
In this context, transfer learning consists of taking a model that was trained to identify other types of objects and leverage everything that it learned to make my problem easier.
This way I don't have to teach a model from scratch!