Using Your Data to Grow Your Business
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Using Your Data to Grow Your Business

Use the data you already possess to grow your business
3.7 (9 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
5,050 students enrolled
Created by Gary Kind
Last updated 7/2013
English
Curiosity Sale
Current price: $10 Original price: $20 Discount: 50% off
30-Day Money-Back Guarantee
Includes:
  • 39 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Discover the single most important metric for ANY business
  • Understand key metrics to group customers
  • How to track loyalty and prevent defection
View Curriculum
Requirements
  • Basic IT skills
  • Basic understanding of SQL and/or Microsoft Excel
Description

Every business from startup to larger established businesses need to track details about their customers, products, sales and purchases. By extracting and manipulating this data you can determine key metrics to help you understand more about your customers, how to keep them and more importantly understanding the cost to acquire them. You already have this data you just need to use it.

Whatever you use to track your customers and sales, be it a traditional desktop Accounting package, a cloud based solution or perhaps even a spreadsheet the techniques are the same. It is about understanding how to use your data effectively in any marketing that your business carries out.

If you run a business, or are thinking of starting one these key metrics can be applied at any stage and tracked to help you with your business.

Who is the target audience?
  • Startups looking to gain traction
  • Small businesses looking for growth
  • Established businesses wanting to understand their customer base
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Curriculum For This Course
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Introduction
1 Lecture 03:41
This is an introduction the subject areas that we will cover.
Preview 03:41
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The first three key metrics
2 Lectures 11:20
We will look at our first three key metrics we can use to measure customer performance and/or segment our customers.
Preview 06:20

Here we look at the free tool supplied with this course for experimenting with the sample data, or, if you can get your own data into CSV format then you can use that.
Using the Data Tool Application
05:00
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Measuring Loyalty and Reducing Defection
3 Lectures 08:26
We introduce another key metric which can be used to measure loyalty and provide an early warning mechanism for customer defection.
Measuring Loyalty
01:56

Lets look at some data to underline the concept of measuring loyalty and how this metric can provide this information.
Looking at data
05:13

We will use the Datatool to demonstrate how latency is calculated.
Using the Datatool to Calculate Latency
01:17
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The Single Most Important Metric
2 Lectures 09:53
We now look at a metric that is fundamental to understanding and growing your business. To remain profitable and grow you need to determine the profitability of your customers.
This metric is THE most important one to use!
06:20

Another look at data using the Data tool
03:33
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Wrap Up
2 Lectures 06:06
What do you do with the data?, Here's a quick example.
Using your data to Communicate
01:25

Here we re-iterate the key points that we covered in the course and what next steps you should take.
A recap on what we covered
04:41
About the Instructor
Gary Kind
4.2 Average rating
899 Reviews
41,726 Students
12 Courses
Developer, Author, Marketeer

Gary Kind is a highly experienced IT professional and business owner with over 25 years in and around software development and 20+ years running businesses as an individual and in partnerships.

He has a wide spread of business knowledge working in the SME sector as well as delivering KPI and financial reporting for large corporations. He has spent the past few years combining marketing with IT to cover areas such as pay per click, copywriting and conversion optimisation.