Skip to main content

Offline matching and the catalog from Dell

A couple of weeks ago I saw an ad on my phone for the new Dell XPS laptop. Out of curiosity I clicked on it, and started configuring a couple of options just for fun. I read a lot of good reviews about the upcoming XPS laptop, how the design rivals that of Apple’s MacBook laptops, and how certain configurations come with Linux preinstalled. I played around with the options, and configured two beast laptops just for fun, then I left and have not thought about it anymore, since I am not in the market for a new laptop, being satisfied with my Surface 3 laptop and all.

A couple of weeks later, I received a Dell catalog for the first time, addressed to me and not to the usual “Current Resident”, that has more details about the XPS laptops, gaming laptops, desktops, and peripherals that Dell sells. The catalog also included a 15% discount, which was a nice touch.

I wondered how I got that catalog, even though I have not explicitly sign up for it, nor request one, nor provide any information while configuring the laptops on Dell’s website. Then I remembered offline matching.

There are offline matching data companies, that collect customer activity in the offline world, such as purchases associated with gift and loyalty cards from grocery stores, gas stations, brick and mortar retailers, etc., where names and addresses are available, and use a bridge between the online-offline world to match the activity online with that offline. The bridge can be an email address, a third-party cookie, swap ID-match, or a hashed ID, etc., and after bridging, the data on the customer activity is holistic. I bet that’s probably what happened, and I ended up getting the catalog.


Labels:

Comments

Post a Comment

Popular posts from this blog

Kindle Paperwhite

I have always been allergic to buying specialized electronic devices that do only one thing, such as the Kindle, the iPod, and fitness trackers. Why buy these when technology evolves so fast that a multi-purpose device such as the phone or a smart watch can eventually do the same thing, but with the convenience of updates that fix bugs and add functionality? So, I was shocked when this weekend I made an impulse buy and got the newest Kindle Paperwhite—a special purpose device for reading eBooks. I was walking past the Amazon store in the mall and saw that the newest Kindle Paperwhites were marked down by $40 for the holidays. The device looked good in the display, so I went in to look at it closely. The Paperwhite is small and light, with a 6” screen that is backlit and waterproof.   The text was crisp and readable, and in the ambient light, it felt like I am reading a printed book. I was sold and bought it on the spot. At home I have struggled to put it down. The bo...
2 comments
Read more

MacOS Catalina, OneDrive, and case sensitive file systems

Over the weekend, I dusted off my old Macbook Air to search for some old family photos. I have not used the laptop for a long time, and it was completely out of charge. I plugged it in, and it quickly booted. Shortly after, I got bombarded with notifications that many of the applications needed updating, and that a new version of the OS was available.   I waited till I found the photos I was looking for, before attempting to upgrade anything. I also wanted to install OneDrive to get my old files to the cloud, so that I can access them from any of my devices, instead of dusting off old computers to get to them. The MacOS upgrade experience has always been fantastic, and this one was no different. The OS upgrade files downloaded quickly and after a restart and a quick install, the Macbook Air was ready to go.   Upgrading the installed applications was also a breeze, however in the process I discovered that a large majority of the applications installed were not compatible ...
Post a Comment
Read more

Mining the Social Web, by Mathew Russell, O'Reilly Media

"Mining the social web" is a book about how to access social data from the most popular social services today by using the services' public APIs, and analyzing the retrieved data to gain insights about it. The book uses the Python programming language to access and manipulate the data, and provides code snippets of common tasks within the book, as well as full iPython notebooks on Github. The book is written as documentation for the freely available iPython notebooks, with the documentation providing context and background for the code, as well as describing the algorithms used to mine the social data. The author tries to be as concise as possible, although he did not succeed in the first chapter, where the first three section were verbose, and relatively unnecessary,  describing what twitter is and why people use it as a microblogging platform. With that out of the way, the writing style improves as the book progresses, and is a mixture of code examples and step ...
Post a Comment
Read more