Data Analytics Affinity Analysis | affinity analytics

Data Analytics Affinity Analysis

Have you ever added an an item to your online shopping cart and had seemingly unrelated items recommended for purchase, but the combination seems to make sense? Most likely, the company is using affinity analysis to make shopping recommendations.

What Does Affinity Category Mean in Google Analytics?

Ever tackled the Affinity Report in Google Analytics? Subscribe for updated GA videos: https://www.youtube.com/channel/UCyIIU26tsbCrQkB3Ieq87FQ?sub_confirmation=1

Google has a nuanced explanation for the difference between affinity and inmarket so make sure you study up and keep those advertising dollars in check. Check out the inmarket video here: https://www.youtube.com/watch?v=S5AY6CL6tuI

Here is Google’s definition of affinity categories: https://support.google.com/adwords/answer/2497941?hl=en

I am always looking at the demo account for Google Analytics, which you can access for free here: https://support.google.com/analytics/answer/6367342?hl=enaccess

My Website: http://brianswanick.com
My Twitter: https://twitter.com/EverythingSwan

What is AFFINITY ANALYSIS? What does AFFINITY ANALYSIS mean? AFFINITY ANALYSIS meaning

✪✪✪✪✪ http://www.theaudiopedia.com ✪✪✪✪✪

What is AFFINITY ANALYSIS? What does AFFINITY ANALYSIS mean? AFFINITY ANALYSIS meaning AFFINITY ANALYSIS definition AFFINITY ANALYSIS explanation.

Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/bysa/3.0/ license.

SUBSCRIBE to our Google Earth flights channel https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ

Affinity analysis is a data analysis and data mining technique that discovers cooccurrence relationships among activities performed by (or recorded about) specific individuals or groups. In general, this can be applied to any process where agents can be uniquely identified and information about their activities can be recorded. In retail, affinity analysis is used to perform market basket analysis, in which retailers seek to understand the purchase behavior of customers. This information can then be used for purposes of crossselling and upselling, in addition to influencing sales promotions, loyalty programs, store design, and discount plans.

Market basket analysis might tell a retailer that customers often purchase shampoo and conditioner together, so putting both items on promotion at the same time would not create a significant increase in revenue, while a promotion involving just one of the items would likely drive sales of the other.

Market basket analysis may provide the retailer with information to understand the purchase behavior of a buyer. This information will enable the retailer to understand the buyer’s needs and rewrite the store’s layout accordingly, develop crosspromotional programs, or even capture new buyers (much like the crossselling concept). An apocryphal early illustrative example for this was when one super market chain discovered in its analysis that male customers that bought diapers often bought beer as well, have put the diapers close to beer coolers, and their sales increased dramatically. Although this urban legend is only an example that professors use to illustrate the concept to students, the explanation of this imaginary phenomenon might be that fathers that are sent out to buy diapers often buy a beer as well, as a reward. This kind of analysis is supposedly an example of the use of data mining. A widely used example of cross selling on the web with market basket analysis is Amazon.com’s use of “customers who bought book A also bought book B”, e.g. “People who read History of Portugal were also interested in Naval History”.

Market basket analysis can be used to divide customers into groups. A company could look at what other items people purchase along with eggs, and classify them as baking a cake (if they are buying eggs along with flour and sugar) or making omelets (if they are buying eggs along with bacon and cheese). This identification could then be used to drive other programs. Similarly, it can be used to divide products into natural groups. A company could look at what products are most frequently sold together and align their category management around these cliques

Business use of market basket analysis has significantly increased since the introduction of electronic point of sale. Amazon uses affinity analysis for crossselling when it recommends products to people based on their purchase history and the purchase history of other people who bought the same item. Family Dollar plans to use market basket analysis to help maintain sales growth while moving towards stocking more lowmargin consumable goods.

Affinity in market Google Analytics

www.pacificWebTraffic.com Drilling down into Interest/Segments Google Analytics

How Airbnb use affinity analytics

FOLLOWALONG UX Survey Feedback | Affinity Diagramming Analysis of Zero to UX Feedback

Clickbaity thumbnail? Maybe.
Today I am going to be analyzing the data from the UX survey from last week’s video. THANK YOU those who filled it out.

Followalong as I show you STEPBYSTEP how I do an affinity diagram with PostIt notes. It will be interesting to find out what comes out of it!

Showing you the good, the bad, AND the ugly of your feedback! All in the name of improving this channel! Many exciting things to come!! Like, comment, subscribe, and stay tuned!

Enjoy!

Mad love, PEACE!!

UXSurvey BadassUXLeaders UXAnalysis

==================
RESOURCES MENTIONED IN THIS VIDEO:

Facebook Group: https://www.facebook.com/zerotoux

Last week’s video How to Create UX Surveys:

==================
BOOKS TO GET YOU STARTED IN UX RESEARCH

Quantifying the User Experience:
https://amzn.to/2Y3ItwR

Don’t Make Me Think Steve Krug:
https://amzn.to/2MdznZZ

Rocket Surgery Made Easy Steve Krug:
https://amzn.to/2McwJ6G

100 Things Every Designer Needs to Know About People:
https://amzn.to/2EF7KCS

Thinking, Fast and Slow Daniel Kahneman:
https://amzn.to/2EzwUmo

Predictably Irrational Dan Ariely:
https://amzn.to/2QspYvT

Paradox of Choice Barry Schwartz:
https://amzn.to/2QtmwkT

How to Win Friends & Influence People Dale Carnegie:
https://amzn.to/2WtOnH0

Resonate Nancy Duarte (FREE ONLINE EBOOK):
http://resonate.duarte.com

Quiet Susan Cain:
https://amzn.to/2Me9iK7

Blue Ocean Strategy:
https://amzn.to/2YPgyxt

The Lean Startup Eric Ries:
https://amzn.to/2MbK7I5

Where Good Ideas Come From: Steven Johnson:
https://amzn.to/2ENIOt1

==================
Say hi on social media!

Facebook Group: https://www.facebook.com/zerotoux
Instagram: https://www.instagram.com/zerotoux/
Twitter: https://twitter.com/zerotoux
Quora: https://www.quora.com/profile/KevinL…
Medium: https://medium.com/@PretendAstronaut

==========
If you have questions about becoming a UX Researcher, feel free to email me.
I ALSO PROVIDE RESUME REVIEWS AND MOCK INTERVIEWS! Ask me about it!
[email protected]

♫ Music by Lakey Inspired check him out on SoundCloud!! ♫
♫ https://soundcloud.com/lakeyinspired

===========
Disclosure: I am a participant in the Amazon Services LLC Associates Program. I may earn a small commission for my endorsement, recommendation, testimonial, and/or link to any products or services from this website if you choose to use any of the above affiliate links.

https://youtu.be/r9H5X5xrCTk

Affinity Analysis in R Part 1 Exploratory Data Analysis and Insights!

In this video series we take a subset of consumer data from 2017 and will do some exploratory data analysis followed by an affinity analysis and lots of great insights into these customers. I will show you stepbystep how to do a complete affinity analysis in r. Everything is covered from the libraries to the entire code and even how to change graph and plot screens to better show the results. This is a great data science for beginners tutorial!

In this video will do a lot of data preparation and insights that will get us ready for using the Apriori algorithm. We will Determine the average basket spend, average item price, the most frequently purchased UPC or item number and much more.

Join in the discussions and more on my FaceBook Data Science group. It’s packed full of great free resources, code, cheatsheets, expert advice and much more! https://www.facebook.com/groups/2558540907733212/

These results along with the Apriori bar graph and data from video 2 will be used to create our story / visualization for our requesters. This is a complete data science project that I use several times a week for our marketing, category and sales departments along with multiple executives throughout the company.

Once you understand how to do affinity analysis in r and start to see the new insights and possibilities, you will be hooked and this will become one of your data science processes. Plus, if you are looking to get a job in data science, this is a project that will definitely make you stand out from the rest. Affinity analysis is definitely one of my favorite processes and I love to see what new insights I can get from each one I do. Whether it be identifying a new customer group, to finding new ways to market to customers. Once you start doing affinity analysis you will be hooked.

I hope you found this data science tutorial on market basket analysis interesting and informational.

Please take a moment to subscribe, like and share! Also be sure to leave me a comment as I love to hear from my subscribers!

Thanks again and have a great day!

God bless!

How ASOS use affinity analytics

How Coke use affinity analytics

Affinity Analytics Aster compared with ANSI SQL

This video compares Asters Collaborative Filter function with an ANSI SQL model.