The Formation

MDX Demo

Published October 1, 2017

Summary

This is a demo page to showcase the different global MDX components

Demo

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The question is: “Can we find out what’s the perfect post recipe based on the data from marketing & blogging giants?”
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The question is: “Can we find out what’s the perfect post recipe based on the data from marketing & blogging giants?”

Blogs with 100,000+ followers: title lorem ipsum amet constetur sadipscing elitr, sed diam

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Material with a digital model allowing the customer to run interactive sensitivity analysis of what impacts target properties.

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Conclusions

We’ve analyze all the data, and here are the end conclusions:

1. Making a post “neutral” is the worst thing you can do.

Post should have high polarity: Meaning it should be either fun and person, or highly controversial. Test your copy here.

2. The more links you use in your posts, the more it will be shared.

Optimal level between is around 10 for most sites (Backlinko has an optimum of 50 external links per post).

3. Optimal word length is super high: 4,000+ words per post (going to 6,000 and higher).

4,000+ word posts seem to be the new normal for highly-shared posts.

4. Consistency really matters. Like...REALLY.

These popular bloggers pump out between 1 - 3 posts every WEEK.

5. The optimal headline length for popular posts is between 50 and 100 characters.

The only exception is Ramit who's predicted optimum lies at 40 characters. Also having exact numbers in the headline doesn't have a correlation to higher shares.

6. Make friends in your industry community.

The data shows these top bloggers tend to mention each other and even devote posts to one another.

7. The data shows no "best day" to post... just never on a Saturday.

Every blog has different "best days", and the data shows no correlation. However the one thing the data shows is Saturday is ALWAYS the worst day to post.

Talk to us about how you can turn your data into a system to deliver success

Our core expertise is in business-driven applications of predictive analytics and data science to solve complex business challenges which directly impact the bottom line.