NYC Data Science Academy| Blog
Bootcamps
Lifetime Job Support Available Financing Available
Bootcamps
Data Science with Machine Learning Flagship ๐Ÿ† Data Analytics Bootcamp Artificial Intelligence Bootcamp New Release ๐ŸŽ‰
Free Lesson
Intro to Data Science New Release ๐ŸŽ‰
Find Inspiration
Find Alumni with Similar Background
Job Outlook
Occupational Outlook Graduate Outcomes Must See ๐Ÿ”ฅ
Alumni
Success Stories Testimonials Alumni Directory Alumni Exclusive Study Program
Courses
View Bundled Courses
Financing Available
Bootcamp Prep Popular ๐Ÿ”ฅ Data Science Mastery Data Science Launchpad with Python View AI Courses Generative AI for Everyone New ๐ŸŽ‰ Generative AI for Finance New ๐ŸŽ‰ Generative AI for Marketing New ๐ŸŽ‰
Bundle Up
Learn More and Save More
Combination of data science courses.
View Data Science Courses
Beginner
Introductory Python
Intermediate
Data Science Python: Data Analysis and Visualization Popular ๐Ÿ”ฅ Data Science R: Data Analysis and Visualization
Advanced
Data Science Python: Machine Learning Popular ๐Ÿ”ฅ Data Science R: Machine Learning Designing and Implementing Production MLOps New ๐ŸŽ‰ Natural Language Processing for Production (NLP) New ๐ŸŽ‰
Find Inspiration
Get Course Recommendation Must Try ๐Ÿ’Ž An Ultimate Guide to Become a Data Scientist
For Companies
For Companies
Corporate Offerings Hiring Partners Candidate Portfolio Hire Our Graduates
Students Work
Students Work
All Posts Capstone Data Visualization Machine Learning Python Projects R Projects
Tutorials
About
About
About Us Accreditation Contact Us Join Us FAQ Webinars Subscription An Ultimate Guide to
Become a Data Scientist
    Login
NYC Data Science Acedemy
Bootcamps
Courses
Students Work
About
Bootcamps
Bootcamps
Data Science with Machine Learning Flagship
Data Analytics Bootcamp
Artificial Intelligence Bootcamp New Release ๐ŸŽ‰
Free Lessons
Intro to Data Science New Release ๐ŸŽ‰
Find Inspiration
Find Alumni with Similar Background
Job Outlook
Occupational Outlook
Graduate Outcomes Must See ๐Ÿ”ฅ
Alumni
Success Stories
Testimonials
Alumni Directory
Alumni Exclusive Study Program
Courses
Bundles
financing available
View All Bundles
Bootcamp Prep
Data Science Mastery
Data Science Launchpad with Python NEW!
View AI Courses
Generative AI for Everyone
Generative AI for Finance
Generative AI for Marketing
View Data Science Courses
View All Professional Development Courses
Beginner
Introductory Python
Intermediate
Python: Data Analysis and Visualization
R: Data Analysis and Visualization
Advanced
Python: Machine Learning
R: Machine Learning
Designing and Implementing Production MLOps
Natural Language Processing for Production (NLP)
For Companies
Corporate Offerings
Hiring Partners
Candidate Portfolio
Hire Our Graduates
Students Work
All Posts
Capstone
Data Visualization
Machine Learning
Python Projects
R Projects
About
Accreditation
About Us
Contact Us
Join Us
FAQ
Webinars
Subscription
An Ultimate Guide to Become a Data Scientist
Tutorials
Data Analytics
  • Learn Pandas
  • Learn NumPy
  • Learn SciPy
  • Learn Matplotlib
Machine Learning
  • Boosting
  • Random Forest
  • Linear Regression
  • Decision Tree
  • PCA
Interview by Companies
  • JPMC
  • Google
  • Facebook
Artificial Intelligence
  • Learn Generative AI
  • Learn ChatGPT-3.5
  • Learn ChatGPT-4
  • Learn Google Bard
Coding
  • Learn Python
  • Learn SQL
  • Learn MySQL
  • Learn NoSQL
  • Learn PySpark
  • Learn PyTorch
Interview Questions
  • Python Hard
  • R Easy
  • R Hard
  • SQL Easy
  • SQL Hard
  • Python Easy
Data Science Blog > Student Works > EBATES: Web Portal and Promotion Analysis

EBATES: Web Portal and Promotion Analysis

Johnna Ayres
Posted on Feb 21, 2017

EBATES: Analysis of an Online Coupon Web Portal

EBATES is an online coupon web portal website launched in 1998.  Sold in 2014 to Rakuten, a Japanese shopping website for $1B, EBATES offers consumers cash back who use the portal to find retail shopping discounts.

To date, EBATES has paid consumers $1B in cash back rewards since website inception.  The average cash back value on purchases made with retail partners is 5%.  EBATES has 6 million users, over 2,000 retail partners and continues to grow and acquire other coupon website portals.    Source: Motley Fool

Given EBATES' success as an online coupon aggregator, do the discounts offered on the website impact purchase behavior or increase cash back to consumers who make more purchases with retailers?  This blog post will explore this theory using a web scraped dataset from EBATES and R code visualization analysis.

EBATES Business Model

EBATES partners with web retailers to offer discounts and cash rewards to online shopping consumers.  As an aggregator of retail offers, EBATES requires consumer registration before using the website to capture useful consumer data.  Once registered, EBATES consumers will search for their shopping destination, click on a cash back offer and redirect to the retail partner website for online shopping.  Any purchases made with the retail partner is passed back to EBATES and calculated in the consumer's account as their cash back shopping reward.  Quarterly, EBATES will send rebate checks or deposit cash into the consumers Pay Pal account.  

EBATES generates revenue through paid commissions based on their web referrals to retail partners. 

Website Demographics

The EBATES core consumer is female and college educated who shops online both at home and work.  Typically college educated females are employed, therefore, this specific demographic doesn't have a lot of time to go to brick-and-mortar stores to shop.  Instead, they opt-to use EBATES to gain a cash back discounts on items they would likely purchase anyway.  

The following chart illuminates the EBATES' core consumer:

Screen Shot 2017-02-12 at 12.24.36 PM

source: Alexa, Amazon

Scraped Data from EBATES

Using scrapy and selenium as web scraping tools to capture data from the EBATES website, the web spider crawled through a table of all current retailers to capture the following dataset: retailer name, total coupons/discounts offered, current coupon promotion and cash back since website inception.  Once that data was captured and cleansed, additional variables were calculated as a function of % cash back and total retail purchases to enhance the data collected.  

In total, a full dataset was developed on 1,500 retailers (2,200 in total) with the balance maintaining secrecy around total cash back.  Without total cash back as a variable, it was difficult to make any conclusions about a retailer or consumer behavior other than highlight the number of coupons offered since site inception.  

The biggest retailer holding back proprietary cash back data is Amazon.  

Analysis: Top EBATES Retailers by Total Cash Back to Consumers

Prioritizing by total cash back to consumers, the top retailers in the dataset follow in the table below.  Clearly, these retailers are aligned with the core demographic described previously with Macy's being the top shopping destination through the EBATES web portal.

Looking at a visualization of the top 50 retailers by total cash back and total purchase amount, the visualization indicates there is a relationship between the two variables as demonstrated by the regression line in the chart below  However, one would assume there would be a strong relationship between these two variables anyway; thus you cannot necessarily derive a meaningful conclusion other than when sales increase, more cash paid back is paid to consumers through these top retailers. 

Analysis: EBATES Consumer Coupon Promotion by Retailer

Taking the analysis to the next level, the relationship between total coupons and total cash back was reviewed and visualized.  In theory, if the retailer offered more coupons, then there should be more sales and ultimately cash back paid to the consumer.

However, based on the visualization below, there is a relationship between the two variables however it is a weak one based on the slope of the regression line.  In some cases adding coupons or discounts help generate cash back to consumers but isn't a strong indicator that this type of promotion will drive business to one retailer or another.

Looking further into the dataset, the same analysis was generated on retailers at the mean of total cash back.  Two hundred observations were included +/- from the mean.

As the visualization indicates below and similar to the top 50 retailers visualization, there isn't a strong relationship between total coupons offered versus cash back paid to consumers.

TCB_Mean_Dist

Promotions Summary and Next Steps

Based on the data collected and derived, there were no strong relationships found based on coupon promotion and total sales when graphed against cash back paid to consumers.  However, one point does stand out which is difficult to quantify and that relates to brand.  With strong, established retail partners, EBATES has been able to attract and grow into one of the largest coupon sites on the web and is ranked as the 383rd most visited site. source: Alexa, Amazon .  For it's core consumer, EBATES has become a pass through destination when web shopping.

More data and time would yield actionable promotional results for EBATES.  Such analyses include: analyzing segmentation by retail category, length of retail relationship with the site, consumer profiling, promotional data performance on the home page and A/B testing of offer, promotion position and creative.

Further to this list, there are many more analyses to be reviewed to truly optimize the promotional value of the site and drive incremental revenue for partners and EBATES as a whole.

Scrapy and Selenium Code

Following is the scrapy and selenium spider utilized to capture the relevant data from the EBATES website included in this analysis.

About Author

Johnna Ayres

View all posts by Johnna Ayres >

Related Articles

Python
Using Data to Analyze The Library of Audible
Data Visualization
Yunnan Sourcing Tea Storefront and Analysis of the High End Tea Market
Data Visualization
Scraping Data on Ulta Skin Care
Python
Using Data to Analyze The science Behind Successful Podcasts
Web Scraping
Using Data to Find the Best Gluten Free Restaurants

Leave a Comment

Cancel reply

You must be logged in to post a comment.

Google December 17, 2020
Google One of our visitors lately suggested the following website.
Google October 7, 2019
Google Just beneath, are various absolutely not connected web-sites to ours, nonetheless, they are certainly worth going over.
Google October 6, 2019
Google One of our guests not too long ago encouraged the following website.
Issac January 2, 2018
Good information. Lucky me I came across yourr site by accident (stumbleupon). I've saved as a favorite for later!
Angelica December 30, 2017
Thank you a bunch for sharing this withh all folks yyou actually recognise what you are talking approximately! Bookmarked.Kijdly additionally consult with my web site =). We could have a link alternate agreement beteeen us
Gaye December 29, 2017
I don't know if it's just me or if perhaps everyone else experiencing issues woth youir site. It appears as if some of the text in your posts are running off the screen. Can somebody else please provide feedback and let me know if this is happoening to them as well? This cohld bee a issue with my interne browser because I've had thius happen before. Kudos
Sheila December 28, 2017
Superb, what a bllog iit is! This webpage gives valuable information too us, keep iit up.
Antoine December 24, 2017
Hi, There's no doubt that your website might be having browser compatibility problems. When I take a look at your web sit in Safari, it looks fine but when opening in Innternet Explorer, it's got some overlapping issues. I just wanted to give you a quick heads up! Aside from that, wonderful blog!
Elise December 24, 2017
I do believe all of the ideas you have presented in your post. They're really convincing and can certainly work. Nonetheless, the posts are too shrt for newbies. Could you please prolong them a bbit from next time? Thanks for the post.
Ashley December 21, 2017
Good post. I learn something new and challenging on websites I sttumbleupon everyday. It will always be interesting to read content from other wriers andd use a little something from their web sites.
Amee December 4, 2017
Hi there to every body, it's my first payy a quick visit oof this website; this web site incluudes remarkable and really excellent data for readers.
Mariano November 17, 2017
You ought to be a part of a contest foor one of the greatest websites on the net. I am going to recommend this web site!
Lorri November 12, 2017
Thanks for the marvelous posting! I certainly enjoyed reaing it, you can be a great author.I will make certain to bookmark your blog and may come back from noow on. I want too encourage you continue your great job, have a nice day!
Jame November 10, 2017
Hi my famikly member! I want to say that this post is awesome, nice written and come with almost all important infos. I'd like to look more posts like this .
Marlys September 20, 2017
Hello, i rea your blog from time to tme and i own a similar oone and i was juset wondering iif youu gget a lot off spam remarks? If so how do you protect against it, any plugin or anything you can recommend? I gett so much lately it's driving me mad so any assistance iss very much appreciated.
Jame September 19, 2017
Hi mates, how is everything, and what you would like to say regardng this article, in my view its in fact amazing in support of me.
Antoinette September 18, 2017
excellent submit, very informative. I ponder why the opposite specialists of this sector don't notice this. You hould proceed your writing. I am sure, you have a great readers' base already!
Serena September 14, 2017
Superb blog! Do you have any hints for aspliring writers? I'm planning to start my own bllg soon but I'm a little lost on everything. Would youu propose starting with a free platform like Wordpress or go for a paid option? There are so many options out therre that I'm completely connfused .. Any ideas? Apprecciate it!
Kaylee August 27, 2017
Nice post. I was checking constantly this blog and I'm impressed! Extremely helpful infro particularly the last part :) I take care off such information a lot. I was seeking this certain infro for a very lengthy time. Thanks and best of luck.
resep ayam rica rica August 16, 2017
This Information Is Very Helpful To Me, Thank You Very Much For The Information
aciniccell.org August 15, 2017
Having read this I believed it was really informative. I appreciate you finding the time and effort to puut this information together. I once again find myself personally spending wayy too much time both reading and posting comments. But so what, it was still worthwhile!
Michel August 9, 2017
I don't unremarkably comment but I gotta sayy thank you for the ost oon this perfect one :D.
http://www.destinationirvine.com/ August 5, 2017
Hi there, i ead your blog occasionally and i own a similar one and i was just curious if you get a lot of spam responses? If so how do you prevent it, any plugin or anything you can advise? I get so much lately it's drivinmg me mad so any assistance is very much appreciated.
www.gpugrid.net July 25, 2017
Youur method of telling all in tthis post is genuinely good, every one can without difficulty understand it, Thanks a lot.
Scarlett July 22, 2017
It's ann remarkable post designed for all the internet people; they will take advantage from it I am sure.
Clinton July 21, 2017
My coder is trying to persuade me to move to .net from PHP. I have always disliked thee idea because oof the costs. But he's tryiong none the less. I've been using Movable-type on a number of websites for about a year and am anxious about switching to another platform. I hazve heard good things about blogengine.net. Is there a way I can import all my wordpress contet into it? Any kind of help would be greatly appreciated!
Alphonso July 11, 2017
Actually no matter iif somedone doesn't be aware of then its up to other viewedrs that they will help, soo here it occurs.
Von July 5, 2017
It's hard to clme by educated people in tthis particular topic, but you sewm like you now what you're talking about! Thanks
Kiera May 12, 2017
A fascinating discussion is dsfinitely worth comment. I think thnat you need to publish more on this topic, it may nott be a taboo subject but generally folks don't talk about such issues. To the next! Kind regards!!
en.wikipedia.org April 5, 2017
This article provides clear idea for the new visitors of blogging, that truly how to do running a blog.
blog.hubspot.com April 3, 2017
It's remarkable in favor of me to have a site, which is beneficial in support of my experience. thanks admin
Linnie April 3, 2017
For latest news you have to pay a quick visit world wide web and on web I found this web site as a most excellent site for most recent updates.
Charla April 3, 2017
I am constantly looking online for ideas that can aid me. Thank you!
Jere March 28, 2017
Way cool! Some extremely valid points! I appreciate you writing this article and the rest of the website is very good.
www.mstanea.org March 28, 2017
I am constantly searching onlinme for ideas thyat can assist me. Thanks!
http://www.pulmanweb.org/category/plumbing March 25, 2017
Hello my family member! Iwish to say that this article is awesome, great written and come with approximatly all vital infos. I would like to look more posts like this.
Bryant March 21, 2017
Hello.This post was extremely remarkable, particularly because I was looking for thoughts on this issue last week.
replica montre calibre cartier March 12, 2017
cartierlovejesduas puzo639, ะฝะฐั‚ะฒะพั€ะธ ะฒ ั‚ะธัˆะธ ัะฒะพัŽ ั„ะฐะฝั‚ะฐะทะธัŽ. ั‚ะตะฑะต ั‚ั€ะตะฟะฐะฝะณะพะฒ ะบะพั€ะผะธั‚ัŒ-ะฟะพะธั‚ัŒ ะฝะฐะดะพ. ะฐ ะผั‹ ะฟั€ะพัะฟะธะผัั ะธ ัะฒะตะถะตะฝัŒะบะธะต ะฒัะต ะฟั€ะพั‡ั‚ะตะผ! ั€ะตะทะฐะฝะธ ะฟะพ ะฟะตั€ะถะฐะผ! ะบะฐะบ ั‚ั‹ ัƒะผะตะตัˆัŒ. ะฟะพะบะธ-ั‡ะผะพะบะธ replica montre calibre cartier http://www.aaawatch.cn/fr/aaa-calibre-de-cartier-diver-blue-watch-18k-pink-gold-leather-and-rubber-strap-wgca0009-p713/

View Posts by Categories

All Posts 2399 posts
AI 7 posts
AI Agent 2 posts
AI-based hotel recommendation 1 posts
AIForGood 1 posts
Alumni 60 posts
Animated Maps 1 posts
APIs 41 posts
Artificial Intelligence 2 posts
Artificial Intelligence 2 posts
AWS 13 posts
Banking 1 posts
Big Data 50 posts
Branch Analysis 1 posts
Capstone 206 posts
Career Education 7 posts
CLIP 1 posts
Community 72 posts
Congestion Zone 1 posts
Content Recommendation 1 posts
Cosine SImilarity 1 posts
Data Analysis 5 posts
Data Engineering 1 posts
Data Engineering 3 posts
Data Science 7 posts
Data Science News and Sharing 73 posts
Data Visualization 324 posts
Events 5 posts
Featured 37 posts
Function calling 1 posts
FutureTech 1 posts
Generative AI 5 posts
Hadoop 13 posts
Image Classification 1 posts
Innovation 2 posts
Kmeans Cluster 1 posts
LLM 6 posts
Machine Learning 364 posts
Marketing 1 posts
Meetup 144 posts
MLOPs 1 posts
Model Deployment 1 posts
Nagamas69 1 posts
NLP 1 posts
OpenAI 5 posts
OpenNYC Data 1 posts
pySpark 1 posts
Python 16 posts
Python 458 posts
Python data analysis 4 posts
Python Shiny 2 posts
R 404 posts
R Data Analysis 1 posts
R Shiny 560 posts
R Visualization 445 posts
RAG 1 posts
RoBERTa 1 posts
semantic rearch 2 posts
Spark 17 posts
SQL 1 posts
Streamlit 2 posts
Student Works 1687 posts
Tableau 12 posts
TensorFlow 3 posts
Traffic 1 posts
User Preference Modeling 1 posts
Vector database 2 posts
Web Scraping 483 posts
wukong138 1 posts

Our Recent Popular Posts

AI 4 AI: ChatGPT Unifies My Blog Posts
by Vinod Chugani
Dec 18, 2022
Meet Your Machine Learning Mentors: Kyle Gallatin
by Vivian Zhang
Nov 4, 2020
NICU Admissions and CCHD: Predicting Based on Data Analysis
by Paul Lee, Aron Berke, Bee Kim, Bettina Meier and Ira Villar
Jan 7, 2020

View Posts by Tags

#python #trainwithnycdsa 2019 2020 Revenue 3-points agriculture air quality airbnb airline alcohol Alex Baransky algorithm alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus ames dataset ames housing dataset apartment rent API Application artist aws bank loans beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep boston safety Bundles cake recipe California Cancer Research capstone car price Career Career Day ChatGPT citibike classic cars classpass clustering Coding Course Demo Course Report covid 19 credit credit card crime frequency crops D3.js data data analysis Data Analyst data analytics data for tripadvisor reviews data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization database Deep Learning Demo Day Discount disney dplyr drug data e-commerce economy employee employee burnout employer networking environment feature engineering Finance Financial Data Science fitness studio Flask flight delay football gbm Get Hired ggplot2 googleVis H20 Hadoop hallmark holiday movie happiness healthcare frauds higgs boson Hiring hiring partner events Hiring Partners hotels housing housing data housing predictions housing price hy-vee Income industry Industry Experts Injuries Instructor Blog Instructor Interview insurance italki Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter las vegas airport lasso regression Lead Data Scienctist Lead Data Scientist leaflet league linear regression Logistic Regression machine learning Maps market matplotlib Medical Research Meet the team meetup methal health miami beach movie music Napoli NBA netflix Networking neural network Neural networks New Courses NHL nlp NYC NYC Data Science nyc data science academy NYC Open Data nyc property NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time performance phoenix pollutants Portfolio Development precision measurement prediction Prework Programming public safety PwC python Python Data Analysis python machine learning python scrapy python web scraping python webscraping Python Workshop R R Data Analysis R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn seafood type Selenium sentiment analysis sentiment classification Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau teachers team team performance TensorFlow Testimonial tf-idf Top Data Science Bootcamp Top manufacturing companies Transfers tweets twitter videos visualization wallstreet wallstreetbets web scraping Weekend Course What to expect whiskey whiskeyadvocate wildfire word cloud word2vec XGBoost yelp youtube trending ZORI

NYC Data Science Academy

NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry.

NYC Data Science Academy is licensed by New York State Education Department.

Get detailed curriculum information about our
amazing bootcamp!

Please enter a valid email address
Sign up completed. Thank you!

Offerings

  • HOME
  • DATA SCIENCE BOOTCAMP
  • ONLINE DATA SCIENCE BOOTCAMP
  • Professional Development Courses
  • CORPORATE OFFERINGS
  • HIRING PARTNERS
  • About

  • About Us
  • Alumni
  • Blog
  • FAQ
  • Contact Us
  • Refund Policy
  • Join Us
  • SOCIAL MEDIA

    ยฉ 2025 NYC Data Science Academy
    All rights reserved. | Site Map
    Privacy Policy | Terms of Service
    Bootcamp Application