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Analytics for Growing Companies

Pravin Singh

Cohort Analysis Example: A guide to understand user retention

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The customer plays an important role in every business and knowing the behavior of these customers can lead to meaningful insights for the business. One of the tools which have been long used to understand the behavior of the customer is cohort analysis. In this post, we will briefly walk through a cohort analysis example.

Let us begin by understanding what are Cohorts exactly. A cohort is simply a group of people having similar characteristics. These could either be their spending pattern or a particular date on which a group of people is on-boarded to a platform.

For example, consider any companies with large datasets like Uber or OLA, for these companies a cohort could be a group of people joining their platform on a particular day. Cohort analysis can come in handy to understand how good the business is in retaining people to their platform.

A typical data set for such analysis would be as shown below.

 

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The Ultimate Guide To Domo Custom Connectors

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You are a heavy user/customer of Domo.

You could also be one of Domo partners and official resellers that have multiple clients on your platform.

You have connected to many data sources using the existing connectors.

You have new datasets coming in from your organization or from your client’s systems.

You want to connect to a data source for which the built-in connector is not yet available in DOMO’s marketplace.

You want to fetch your data in the different format than what is provided by existing connectors.

You are planning to use DOMO’s platform and looking for resources to handle the technicality of bringing data from your data source to DOMO.

You ultimately want to build a Domo custom connector to save your time and money.

If these are the problems you face, you have come to the right place.

 

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How to Make the Most of Supermetrics & Google Data Studio

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Google Data Studio, a powerful business intelligence tool by Google, offers advanced data visualization capabilities for businesses. However, it is only as good as the data it is helping visualize. This is where a robust reporting platform like Supermetrics comes into the picture.

Supermetrics automates the extraction of a wealth of data from a wide variety of sources, including Google Analytics, Facebook Insights, AdWords, Twitter Ads, LinkedIn Ads, and so on. Google Data Studio simplifies the plotting of that data onto a graph and obtains meaningful insights from it. There are a plethora of tools available in the market that provide the same functions. However, the advantage of the Supermetrics-Google Data Studio duo is that they automate the reporting. Thus, businesses can monitor the performance of their operations, revenue growth, and other metrics on a daily basis without manually extracting and plotting all of that data.

Supermetrics data studio

Here are some ways SMBs & enterprises can use both tools to improve their businesses:

 

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How to build a Centralized Marketing ROI Template using Supermetrics

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Are you overwhelmed by the number of ever-growing marketing reports in your organization?

Is your marketing data scattered over multiple systems?

Are you wasting time pulling reports from different data sources and comparing them?

Do you have problems in centralizing all your data sources?

Do you have problems in finding the right ROI of your marketing efforts?

Are you overwhelmed by the number of ever-growing marketing reports in your organization?

Is your marketing data scattered over multiple systems?

Are you wasting time pulling reports from different data sources and comparing them?

If you face the above problems, you have come to the right case study solution and post to look at, read on to learn more about this.

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Ecommerce Analysis Project – Case Study

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The Client, a large Ecommerce player in the US, wanted to delve deeper into their data and understand the website behavior that is driving sales.

In this blog, I will be taking you through how we understood the work and analysis that was done for the clients, how we ran the project and ultimately delivered the results in the form of actionable insights to the clients.

In my humble opinion, these are some basic ingredients of running a data analytics project with your clients.

Note: All client sensitive information has been hidden/changed and images are from Google demo merchandise account only

1. Gathering The Key Ingredients

It’s essential to start these projects with three key aspects – Business Problem Statement & Details, Data Sources, and Expected Output.

Adding the exact same ingredient details from the project below as an example so that this can be fully understood.

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Ecommerce Analytics – The Holy Trinity

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E-commerce analytics.

The world of e-commerce and it’s massive growth would not have happened without the level of data analysis and analytics happening around it.

After having done so much work in E-commerce analytics, we have realized that there are three main analytics areas, which we will term as the “Holy Trinity” here. These are the areas that give the most insights and out-of-sights to the business and also where we have worked the most with various clients.

The Holy Trinity of Analytics in E-commerce is the Marketing, Customer and Product Analytics – a clear focus on these three help you in gaining deep understanding and top insights from your businesses

 

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