Summarizing 2020

Photo by Caryn on

As the year 2020 comes to an end, I would like to review how the blog has been doing for the past 12 months, in terms of visits and consistency on publishing new content. My intention by posting this entry is twofold:

  • Measuring progress by looking at the blog KPI’s, year over year, and remember myself in the coming years my beginnings
  • Distilling lessons by paying attention at what work and what did not, and act consequently

For my dear readers, this exercise could push themselves to start blogging, or if they do it already, do a similar review of their own blogs.

Let’s go to the numbers:

Raw numbers 🗣

I could have written about several topics, but this year I focused my posts on TensorFlow. Concretely, showing that this library can do more things, regardless its usage for building deep learning models. The advantage of choosing a niche space like that is the lack of competition, and that there are people out, looking for this type of content and they can’t find it anywhere. More on that later.

From the top posts on the list, I want to highlight that:

  • The post of maximum likelihood estimation (MLE), was published in 2019 and still, there is a considerable number of visits, mostly driven by what people are looking for when they use search engines
  • The two posts on building a REST API with TensorFlow Serving (published in January) have had many visits because they were submitted and published in KDNuggets (six months later) as well

The lessons I got from here are: Posting content of hidden or not-so-discussed features of the TensorFlow ecosystem works well, and finding other websites where more people can consume my content increases visibility.

On the flip side, if we look at the aggregated numbers, I had neither likes nor comments for the whole year. But it’s not a big deal.

Referrers 🚪

These links indicate where are my visitors coming from, in regards to apps or websites:

As you can see the bulk of my visits come from search engines. Although I post links on LinkedIn whenever new content is published in the blog the main source of traffic comes from search engines and KDnuggets. As a sidenote, my posts on REST API are referenced in a GitHub repo from another user, and I’m grateful for that.

Breaking down how people arrive to my blog narrows down where to make effort to increase the number of visits.

Countries 🗺

Here I’m showing the distribution of visits by country:

Traffic is quite spread across countries but the top 5 are United States, Spain, China, India and Germany. I think decision of writing my posts in English has allowed me to reach more people.

Goals for next year 📝

One of the objectives I had by blogging was to acquire the habit of writing. But writing does not necessarily mean publish everything. That’s why despite writing consistently over the past year, only five of my drafts passed the quality standards. Nothing was published in the last quarter.

The quality-quantity ratio this year has been unbalanced . On 2021, I’ll try to find an equilibrium between both, and explore other topics to produce more diverse content.

Until next time, thank you for reading.

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