Personalization Pyramid: A Framework for Designing with User Data

In today’s data-driven environment, it’s becoming more and more possible for you to be asked to create a personal electronic expertise, whether it’s a common website, consumer portal, or indigenous application. However while there continues to be no lack of marketing buzz around personalization systems, we also have very few defined approaches for implementing personalized UX.

That’s where we begin. After completing tens of personalisation projects over the past few years, we gave ourselves a purpose: could you make a systematic personalization platform especially for UX practitioners? A human-centered personalization program that includes data, classification, content delivery, and general objectives can be compared to the Personalization Pyramid, a design-focused design. By using this strategy, you will be able to understand the core elements of a modern, UX-driven personalization system ( or at the very least know enough to get started ).

Getting Started

We’ll assume that you are already comfortable with the fundamentals of modern personalization for the purposes of this article. A nice guide can be found these: Website Personalization Planning. Although Graphic jobs in this field can take a variety of forms, they frequently start from the same place.

Common scenarios for starting a personalisation task:

  • Your business or client made a purchase to support personalization with a content management system ( CMS ), marketing automation platform ( MAP ), or other related technology.
  • The CMO, CDO, or CIO has identified customisation as a target
  • Consumer data is unclear or disjointed.
  • You are running some secluded targeting strategies or A/B tests
  • On the personalisation method, parties of contention
  • Mandate of customer privacy rules ( e. g. GDPR ) requires revisiting existing user targeting practices

Regardless of where you begin, a powerful personalization system will require the same key building stones. These are the “levels” on the tower, which we have identified. Whether you are a UX artist, scholar, or planner, understanding the core components may help make your contribution effective.

From top to bottom, the rates include:

    North Star: What larger corporate goal is driving the personalization system?
  1. Objectives: What are the specific, tangible benefits of the system?
  2. Touchpoints: Where will you get personal service?
  3. Contexts and Campaigns: What personalization information does the person view?
  4. What constitutes a distinct, accessible market according to consumer parts?
  5. Actionable information: What dependable and credible information is captured by our professional platform to generate personalization?
  6. Natural Data: What wider set of data is conceivable ( now in our environment ) to allow you to optimize?

We’ll go through each of these amounts in change. An associated deck of cards was created to demonstrate specific examples from each level to make this more meaningful. We’ve found them helpful in customisation brainstorming periods, and will include cases for you here.

Starting at the Top

The tower has the following elements:

North Star

Ultimately, you want a North Star in your personalization plan, whether big or small. The North Star defines the (one ) overall mission of the personalization program. What do you hope to accomplish? North Stars cast a ghost. The larger the sun, the larger the darkness. Example of North Starts may contain:

    Function: Personalized based on fundamental person inputs. Examples:” Raw” messages, basic search effects, system user settings and settings options, general flexibility, basic improvements
  1. Feature: Self-contained customisation component. Examples:” Cooked” notifications, advanced optimizations ( geolocation ), basic dynamic messaging, customized modules, automations, recommenders
  2. User knowledge: Personal consumer experiences across various user flows and interactions. Examples: Email campaigns, landing pages, advanced messaging ( i. e. C2C chat ) or conversational interfaces, larger user flows and content-intensive optimizations ( localization ).
  3. Solution: Highly distinctive, personalized solution experiences. Example: Standalone, branded experience with personalization at their base, like the “algotorial” songs by Spotify quite as Discover Weekly.

Goals

Personalization can aid in accelerating designing with customer intentions, as in any good UX design. Goals are the tactical and measurable metrics that will prove the overall program is successful. Start with your current analytics and measurement program, as well as metrics you can benchmark against. In some cases, new goals may be appropriate. The most important thing to remember is that personalization is more of a means of achieving an objective than a desired result. Common goals include:

  • Conversion
  • Time spent on task
  • Net promoter score ( NPS)
  • Customer satisfaction

Touchpoints

Touchpoints are where the personalization happens. One of your main responsibilities as a UX designer will be in this area. The touchpoints available to you will depend on how your personalization and associated technology capabilities are instrumented, and should be rooted in improving a user’s experience at a particular point in the journey. Touchpoints can be multi-device ( mobile, in-store, website ), but they can also be more specific ( web banner, web pop-up, etc. ). Several examples are given below:

Channel-level touchpoints

  • Email: Role
  • Email opens at what time?
  • In-store display ( JSON endpoint )
  • Native app
  • Search

Wireframe-level Touchpoints

  • Web overlay
  • Web alert bar
  • Web banner
  • Web content block
  • Menu on the web

If you’re designing for web interfaces, for example, you will likely need to include personalized “zones” in your wireframes. Based on our next step, contexts, and campaigns, the content for these can be presented programmatically in touchpoints.

Contexts and Campaigns

Once you’ve identified some touchpoints, you can decide what kind of personalized content a user will receive. Many personalization tools will refer to these as” campaigns” ( so, for example, a campaign on a web banner for new visitors to the website ). These will be displayed to specific user segments programmatically, as defined by user data. At this stage, we find it helpful to consider two separate models: a context model and a content model. The context helps you consider the user’s level of engagement at the personalization moment, such as when they are casually browsing information or deep-dive. Think of it in terms of information retrieval behaviors. The content model can then guide you in deciding what kind of personalization to use in the context ( for instance, an” Enrich” campaign that features related articles might be a good substitute for extant content ).

Personalization Context Model:

  1. Browse
  2. Skim
  3. Nudge
  4. Feast

Content model for personalization:

  1. Alert
  2. Make Easier
  3. Cross-Sell
  4. Enrich

If you’d like to read more about each of these models, check out Colin’s Personalization Content Model and Jeff’s Personalization Context Model.

User Groups

User segments can be created prescriptively or adaptively, based on user research ( e. g. via rules and logic tied to set user behaviors or via A/B testing ). You will need to think about how to treat the logged-in visitor, the guest or returning visitor for whom you may have a stateful cookie ( or another post-cookie identifier ), or the authenticated visitor who is logged in at the very least. Here are some examples from the personalization pyramid:

  • Unknown
  • Guest
  • Authenticated
  • Default
  • Referred
  • Role
  • Cohort
  • Unique ID

Actionable information

Every organization with any digital presence has data. It’s important to inquire about how to use the data you can ethically collect on users, its inherent reliability and value, and what is the term for “data activation.” Fortunately, the tide is turning to first-party data: a recent study by Twilio estimates some 80 % of businesses are using at least some type of first-party data to personalize the customer experience.

First-party data has a number of benefits for the user experience, including being relatively simple to collect, more likely to be accurate, and less susceptible to the” creep factor” of third-party data. So a key part of your UX strategy should be to determine what the best form of data collection is on your audiences. Several examples are given below:

There is a progression of profiling when it comes to recognizing and making decisioning about different audiences and their signals. As user numbers increase in terms of time, confidence, and data volume, it varies more granularly.

While some combination of implicit / explicit data is generally a prerequisite for any implementation ( more commonly referred to as first party and third-party data ) ML efforts are typically not cost-effective directly out of the box. This is because optimization requires a strong content repository and data backbone. But these approaches should be considered as part of the larger roadmap and may indeed help accelerate the organization’s overall progress. At this point, you will typically work with key stakeholders and product owners to create a profiling model. The profiling model includes defining approach to configuring profiles, profile keys, profile cards and pattern cards. a scalable, multi-faceted approach to profiling.

Pulling it Together

The cards serve as a starting point for an inventory of sorts ( we offer blanks for you to customize your own ), a set of potential levers and motivations for the personalization activities you aspire to deliver, but they are more valuable when grouped together.

In assembling a card “hand”, one can begin to trace the entire trajectory from leadership focus down through a strategic and tactical execution. It serves as the foundation for the workshops that both co-authors have conducted to build a program backlog, which would make a good article topic.

In the meantime, what is important to note is that each colored class of card is helpful to survey in understanding the range of choices potentially at your disposal, it is threading through and making concrete decisions about for whom this decisioning will be made: where, when, and how.

Lay Down Your Cards

Near, medium, and long-term goals must be taken into account in any sustainable personalization strategy. Even with the leading CMS platforms like Sitecore and Adobe or the most exciting composable CMS DXP out there, there is simply no “easy button” wherein a personalization program can be stood up and immediately view meaningful results. Having said that, every personalization activity has a common grammar, just like every sentence has nouns and verbs. These cards attempt to map that territory.

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