💠A Quick Intro to Affinity-Based Recommendations | XS’ Issue #47
Affinity-based recommendations utilize consumer behavior data to make personalized suggestions for products or services.
This approach analyzes patterns in a customer's purchasing history, website browsing habits, and other interactions with a brand to identify items they may be interested in.
For example, a clothing retailer may notice that a customer frequently purchases dresses from the same designer. The retailer can then use affinity-based recommendations to suggest similar dresses from the same designer or even complementary accessories and shoes.
This recommendation method can also consider external factors such as current trends or popular products among similar customers. By combining all of this information, affinity-based recommendations can offer highly personalized suggestions that are likely to lead to successful conversions for businesses.
Affinity-based recommendations are essential for businesses because they allow for personalized and targeted marketing.
By understanding the interests and preferences of individual customers, businesses can create more appealing and relevant offerings that enhance the customer experience.
Rounding Up the Stack
Each and every week, hundreds of blog posts, guides, and playbooks are written, tens of podcast episodes are recorded, and tens of videos and webinars are produced in the digital experience space.
These are the most exciting content from last week that caught our attention, and we enjoyed reading, listening, and watching:
Blog Posts
Personalization remains a high priority for content publishers. But success with personalization depends on understanding different approaches to orchestration.
The four principles of MACH architecture offer greater flexibility, scalability, and adaptability for digital builders.
In this article, you dive into what mid-to-large-sized companies are using instead, the struggle of setting up a modern data stack (MDS) for an enterprise size, and the opportunities of a free-of-charge and open-source MDS.
With auspicious changes to data collection underway, brands would be well advised to boost their investment in zero-party data.
The new art and science of “scalable influence" allows for the framing and acceleration of consumer choices.
Podcast Episodes
Your Data-Driven New Year’s Resolution
In this week’s episode of Data Unlocked, Jason sits down with Scott Breitenother, the founder and CEO of Brooklyn Data Co. In this episode, Scott and Jason discuss Scott’s experience at Casper, the changes in the data marketing industry he saw in the last year, the importance of good customer segmentation, and more:
Videos and Webinars
Including Marketing Teams in Headless Architecture Planning
In the episode of MX Matters, Elad Rosenheim, the head of developer growth for Stackbit, talks with Sam and Maribel from Cloudinary about Stackbit's visual experience editing platform. The platform aims to provide both engineering and marketing teams with the flexibility to develop and publish user-friendly experiences. The discussion covers various subjects related to content authoring and structure and how Stackbit is addressing these issues:
Guides, Case Studies, and Reports
Here, in this comprehensive guide, you’ll read everything you need to know about monolithic architectures, microservices architecture, microservices vs. monoliths, and how and when to choose which one.
Upcoming Events and Webinars
Docusaurus 2.0 adds support for MDX, file system routing, plugins, and more! Maintainer Sébastien Lorber will give us a tour:
Thursday, January 19 @ 6.30 pm GMT+1
That’s it from our side.
Hope you’ll enjoy the content presented above.
Please let us know if you have any questions, comments, or feedback. Don’t hesitate to reach out to us by replying to one of the emails or emailing directly to me via esat@experiencestack.co
And, if you think your friends or colleagues might enjoy reading this newsletter, feel free to forward it to them 🤗
Till next time 😉