Mr. Nepal 2019, Mr. Superstar 2020 and Mr. Supranational 2021 3rd Runner Up, Dr. Santosh Upadhaya is now engaged.
Dr. Upadhaya is engaged to Arati Parajuli of Pokhara. Santosh and Aarati were in relationship for the last few years and now, they have decided to get married.
On January 23, 2022 Santosh and Aarati got engaged in a program held among the family members of the two in New Baneshowr Banquet. Because of the current health crisis, only the close family members were invited in the program.
The to-be-groom, Santosh Upadhaya is a medical doctor by profession. His future wife, Aarati Parajuli is a charter accountant by profession. She is working in Nepal Investment Bank as a senior officer. Santosh is currently working in a digital platform – Samaya Swyastha. According to report, Santosh is going to be featured in the leading role in a Nepali movie to be produced in near future.
Based on my experience with creating YouTube contents, here is how I determine what type of content to produce next. I use YouTube analytics to understand what the viewers are watching and how the channel is working. Based on the data feedback I design the contents.
How to do a quick channel check-in by using the built-in analytics to figure out how the channel is growing and then how to correctly use the data for making right decisions in right time. This will help in growing the audience in the channel.
For this simple task, you don’t need to be an expert in data analysis. Also, you don’t need to know the inside of YouTube’s complicated algorithms to be successful on YouTube. The data YouTube provides is very detailed and there is a huge amount information. It doesn’t make sense to a lot of people and that is okay. Don’t worry if you find the data overwhelming and confusing because, you don’t need everything that is shown.
Here are 4 easy steps to make the maximum use of analytics and interpret the data and the trends so that you can confidently make decisions.
STEP 1: Zoom Out: See the forest (Long term data)
This is the first step in looking at your data – look the data for the past 365 days or the lifetime. For example in the following data of the Views data of the last 365 days.