Changing My Focus

I know it’s been several years, since I’ve updated this blog. I’ve been busy. I’ve done a lot of varied work over the years, but here’s the short of it:

  • Quit my job as a software developer
  • Worked on doing data analysis pieces
  • Worked on doing content for technical companies (SaaS, cybersecurity, eCommerce, etc.)
  • Doing various copywriting jobs (Facebook ads, emails, websites)

What I’ve learned is that the best way to be compensated and respected is to tie all your work to generating revenue (the point of all business).

As I lucked into some Facebook ad work, I realized how it was easier to show and prove ROI.

With my content, I was always several steps away from generating ROI. It is possible to generate ROI from content (as I learned from working with the amazing guys at Grow and Convert). But, it takes a long time.

I’m not going to get into a discussion here about the relative merits of Facebook ads versus content. I just want to say that it is much easier to generate revenue with ads.

Ultimately, that is what I want to do with Growista – help businesses grow. I wanted to leverage the time I spent as a programmer in order to help me with marketing.

I tried all these other paths, but this makes the most sense to me now. Facebook ads and copywriting for SaaS companies (along with eCommerce and other industries) combines my technical knowledge along with the other marketing skills I’ve learned.

If you were following me for my posts on content marketing, I understand if you don’t want to follow me anymore.

I still need to update my website and get a new lead magnet. I just wanted to post this here to update anyone who is confused on my old content versus my new focus.

Why I use Python and Onomics to Create Data-Driven Content

What I’m most known for is creating data-driven content. This is when you analyze data and create content from it (usually in the form of charts and a blog post).

I’ve tested a lot of different tools in my experiments with data posts. While there are exceptions, I’ve found that I’ve only needed two technologies to create data posts for myself and clients: Python and Onomics.

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Benefits I’ve Received from Creating Research Content

I was recently asked to be on Omar Elbaga’s podcast Now the Future (website here). We talked about my article analyzing 100,000 viral posts as well as how I pitch journalists to get coverage.

The crazy thing is that Omar reached out to me on his own to be on his podcast. I submitted the article to Zest, and when he saw it he was so impressed that he reached out to me to be on his podcast.

This got me thinking: what are all the benefits I’ve received from creating research content?

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When to spend $1,000 or more on a Blog Article

Something I hear frequently when talking to leads is that my article price is much more expensive than a regular article. It’s true. Finding original data, cleaning it, using programming to analyze it, and then writing the article will take a lot more time than other articles. Why would companies decide to create expensive content?

There are many reasons why it’s worth it for your business to spend a lot of money on one article. I listed some of them here:
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I Analyzed 100,000 Viral Posts: Here’s What I Learned (New Research)

How have viral posts changed from 2016 to 2017? Since viral posts today could be different from viral posts in the past, I used BuzzSumo to analyze viral posts on social media for 2016 and 2017. I made sure to pick articles from eight different categories (marketing, dating, fitness, pets, beauty, health, technology, travel), and I filtered out articles with less than 500 shares.

After consulting with influencers and journalists, I came up with several measurements that I thought would be interesting. I analyzed web pages in several different ways, such as number of shares, Domain Authority (DA), Page Authority (PA), and number of words.

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