SpreeCustomerSegmentation

Demo

Try Spree Customer Segmentation for Spree master with direct deployment on Heroku:

Introduction

Knowing who your customers are, what your customers want, their spending habits, etc can provide invaluable information to any store.
With Vinsol's spree_customer_segmentation, you can have all that information within seconds.

This extension currently supports Spree > 3.1, Rails >= 5, Mysql and Postgresql Database.

See It In Action

Usage

There are seven categories -

1. Order
2. Cart
3. Purchase
4. Session
5. Address
6. Product
7. User Info and Demographics

Each categories have their own metrics.

marketing lists

You can select any metric, choose the appropriate operator, and enter input values against which you want to filter out the user data.

Add multiple values
You can search on multiple input values at once.

Product Autocomplete functionality
In product based filters, you need to enter few characters of product name, and select the desired product from the dropdown.

Multiple Filters
You can apply any number of filters and get in depth analysis of your store data.

Save the segments

You can save the created segments, by simply clikcing the save button, and entering the desired segment name.

Export the segments

You can export the segments in CSV format. As soon as you click on the export button, a mail containing the CSV is delivered to the currently logged in admin user.

Note: You need to add the mailer settings for export functionality to work.

Additional Information

• Filters

Filter	Category	Details	Accepts Value
Days From First Order	Order	Number of days from first order	Positive integers
Days From Last Order	Order	Number of days from last order	Positive integers
Order Quantity Total	Order	Sum of quantity of all ordered items	Positive integers
Total Number Of Order	Order	Total number of orders placed	Positive integers
Order Quantity Average	Order	Average quantity of items per order	Positive numbers
Order Frequency	Order	Number of orders per 30 days. Formula: (No of orders * 30)/(Days From Registration)	Positive numbers
Revenue	Order	Sum of total of all orders placed	Positive numbers
Number Of Order In Cart	Cart	Total number of items inside the cart	Positive integers
Days From Cart Created	Cart	Number of days from cart created	Positive integers
Days From Cart Modified	Cart	Number of days from cart modified	Positive integers
Used A Coupon	Purchase	Users who have used a coupon or not	Boolean
Coupon Last Used	Purchase	Date when a user last applied a coupon	Date (YYYY-MM-DD)
Number Of Sessions	Session	Number of time user has logged in	Positive integers
Last Active Session	Session	Date when a user was last active	Date (YYYY-MM-DD)
Billing Address	Address	Complete concatenated billing address	Text
Billing City	Address	-	Text
Billing State	Address	-	Text
Billing Zipcode	Address	-	Text
Shipping Address	Address	Complete concatenated shipping address	Text
Shipping City	Address	-	Text
Shipping State	Address	-	Text
Shipping Zipcode	Address	-	Text
First Name	User info and gemographics	-	Text
Last Name	User info and gemographics	-	Text
Email	User info and gemographics	-	Text
Phone	User info and gemographics	-	Text
Days From Registration	User info and demographics	Number of days from registration	Positive integers
Products Ordered	Product	Products ordered by users	Product names
Products Added To Cart	Product	Products added to cart by users	Product names
Products Recently Ordered	Product	Product ordered by users in last 7 days	Product names
Products Recently Added To Cart	Products	Products added to cart by users in last 7 days	Product names
New Products Ordered	Product	Products which were added in last 7 days and ordered by users	Product names
New Products Added To Cart	Product	Products which were added in last 7 days and added to cart by users	Product names

• Operators

Operator	Details
includes	Return records which exactly matches the value user entered
not includes	Return records which do not exactly match the value user entered
includes all	Return records which exactly matches the all the values user entered
contains	Return records which matches (substring) the value user entered
does not contain	Return records which do not match (substring) the value user entered
starts with	Return records which starts with the value user entered
blank	Return records which do not / do have the required data, depending on user's value (boolean)
>=	Return records which have data greater than or equal to the value user entered
>	Return records which have data greater than the value user entered
=	Return records which have data equal to the value user entered
not equals to	Return records which have data not equal to the value user entered
<	Return records which have data less than the value user entered
<=	Return records which have data less than or equal to the value user entered
after	Return records which have date after the value user entered
before	Return records which have date before the value user entered
equals	Return records which have required data or not, depending on user's value (boolean)

Installation

1. Add this extension to your Gemfile with this line: ruby gem 'spree_customer_segmentation', github: 'vinsol-spree-contrib/spree_customer_segmentation'

2. Install the gem using Bundler: ruby bundle install

3. Copy & run migrations ruby bundle exec rails g spree_customer_segmentation:install

4. Restart your server

If your server was running, restart it so that it can find the assets properly.

Testing

First bundle your dependencies, then run rake. rake will default to building the dummy app if it does not exist, then it will run specs. The dummy app can be regenerated by using rake test_app.

bundle
bundle exec rake

When testing your applications integration with this extension you may use it's factories. Simply add this require statement to your spec_helper:

require 'spree_customer_segmentation/factories'

Contributing

1. Fork the project.
2. Create a new branch, and add your changes.
3. Add tests cases.
4. Create a pull request.

Credits

Copyright (c) 2018 vinsol.com, released under the New MIT License