What analytics data gives you the most actionable advice to improve your blog?


Someone asked on Quora: What analytics data gives you the most actionable advice to improve your blog? so here’s my answer:

I have been blogging about Analytics for past few years and this question is at the intersection of both so let me give it a shot:

It depends on two things: 1) Your goal for running the blog 2) Age of the blog

#1: Your goal

why blog analytics

First let’s talk about your goal for running the blog. It’s important to define this as this would help set the metrics that you will monitor and take actions to improve it.

Let’s say that the goal of your blog is to earn is to monetize using ads. So your key performance indicator (KPI) will be monthly ad revenue. In that case you can improve by one of the three things: Number of People visiting the blog x % of visitors clicking on ads x average revenue per ad click. You can work on marketing your blog to increase number of people visiting the blog. Then you can work on ad placement on your blog to increase % of visitors clicking the ad and then you can work on trying different ad networks to see which one pays you the most per click.

let’s take one more example. Like me if your goal is to use your blog for “exposure” which helps me build credibility in the field that I work in. In this case, the KPI i look at is Monthly New Visitors. I drill down further to see which marketing channels are driving that change. That helps me identify channels that I can double down on and reduce investments in other areas. For example: I found that Social is not performing that great but Search has been working great — I started investing time in following SEO principles and spent less time on posting on social.

So first step: Define your goal and your KPI needs to align with that.

#2: Age of your blog:

  • Early: Now at this stage, you will need to explore whether you can achieve what you set out to using blogging. So let’s say you wanted to earn money online. In first few weeks/months, you need to figure out if it’s possible. Can you get enough traffic to earn what you wanted? yes? Great! If not, blogging might not be the answer and eventually all your energy is being wasted. Figure this out sooner rather than later — and take first few weeks/months to make sure blogging helps you achieve your goal.
  • Mid: By this stage, you should know how blogging is helping you achieve your goal. So it’s time to pick one metric that matters! So if your goal was to earn money using ads then go for Monthly ad revenue and set up systems to track this. Google Analytics will be a great starting point. Also, at this stage, you should be asking for qualitative feedback. Ask your friends, ask on social, get comments, do guest blogging on popular platforms and see if you get engagement — basically focus on qualitative feedback since you won’t have enough visitors that you can analyze quantitative data.
  • Late: In this stage, you have the data and the blog is starting to get momentum. Don’t stop qualitative feedback loops but now start looking at quantitative data too. Figure out the underlying driving forces that move the needle on your KPI. Focus on improving those!

TL;DR: Define your “why” and then pick a metric— then use combination of qualitative and quantitative data to improve the underlying driving factors to improve the metric.


What are some of the most important resources a Data analyst needs to know about?


This question was asked on Quora and here’s my answer:

I will list resources broken down by three categories.

  1. Business Knowledge: As a data analyst, you need to have at least basic knowledge of business areas that you are helping with. For example: if you are doing Marketing Analytics then you need to understand basic concepts in marketing and that will make you more effective. You can do so one of the three ways:
    • On-the-job: Pick up knowledge by interacting with business people and using internal knowledge bases.
    • Online resources: Pick up basics of marketing by taking a beginners course online on a platform like Coursera OR from resources like this: Business Concepts – Bootcamp | PrepLounge.com
    • College/University: If you are at a college/university then you can either audit a course or depending on your major/minor, core business courses might just be part of the curriculum
  2. Communication skills:
    • Public Speaking: Toastmaster’s is a great resource. if you don’t have access to a local Toastmasters club, you should be able to find a course online. Check out Coursera.
    • Data Storytelling: Just listening to someone like Hans Rosling can be very inspiring! The best stats you’ve ever seen . Also, If you search storytelling with data on YouTube, you will see few good talks: storytelling with data – YouTube
    • Problem structuring: If you are able to break down the problem into core components to identify root cause, you will not only increase your speed to insight but your structure will also help you communicate it more effectively. Learn to break down your problems and use that in communicating your data analysis approach. Imagine this list without the three high-level categories — wouldn’t it look like I am throwing random resources at you? By giving it a structure — Tech, Biz, Communication, I am not only able to structure it but also communicate it to you more effectively. More here: Structure your Thoughts – Bootcamp | PrepLounge.com
  3. Tech skills: Read Akash Dugam’s answer: Akash Dugam’s answer to What are some of the most important resources a Data analyst needs to know about? — it’s a nice list. Also, check this out: Learn #Data Analysis online – free curriculum

A great data analyst will focus on all areas and a good data analyst might just focus on tech. Hope that helps!


Five actions that you can take if you measure your analytics/business-intelligence solution usage:



In this post, I am going to share five actions that you can take you if measure your analytics/business-intelligence solution usage:

Five actions!

I’ll highly encourage business stakeholders & IT managers to consider measuring the usage of their analytics/business-intelligence solutions. From a technical standpoint, it shouldn’t be a difficult problem since most of the analytics & business intelligence tools will give you user activity logs. So, what’s the benefit of measuring usage? Well, in short, it’s like “eating at your restaurant” – if you’re trying to spread culture of data driven decision-making in your organization, you need to lead by example! And one way you can achieve that is by building a tiny Business Intelligence solution that measures user activity on top of your analytics/business-intelligence solution. if you decide to build that then here are five actions that you can take based on your usage activity:

Let’s broadly classify them in two main categories: Pro-active & Reactive actions.

A. Pro-active actions:

1. Identify “Top” users and get qualitative feedback from them. Understand why they find it valuable & find a way to spread their story to others in the organization

2. Reach out to users who were once active users but lately haven’t logged into the system. Figure out why they stopped using the system.

3. Reach out to inactive users who have never used the system. it’s easy to find inactive users by comparing your user-list with the usage activity logs. Once you have done that, Figure out the root-cause – a. Lack of Training/Documentation b. unfriendly/hard-to-use system c. difficult to navigate; And once you have identified the root-cause, fix it!

B. Reactive actions:

4. If the usage trend if going down then alert your business stakeholders about it and find the root-cause to fix it?

Possible root causes:

– IT System Failure? Fix: make sure that problem in the system never happens again!

– Lack of documentation/Training? Fix: Increase # of training session & documentation

downward trend line chart

5. It’s a great way to prove ROI of an analytics/business-intelligence solution and it can help you secure sponsorship for your future projects!


In this post, you saw five actions that you can take if you measure your usage activity of your analytics/business-intelligene solution.

I hope this was helpful! I had mentioned user training in this article and so if you want to learn a little bit more about it, here are a couple of my posts:

1. http://parasdoshi.com/2014/05/05/presented-at-sqlsat-305-dallas-ba-edition/

2. http://parasdoshi.com/2014/05/07/how-to-train-your-users-to-create-their-own-business-intelligence-reports-5-of-5-post-training/