Like us, you’ve probably heard about personalization and wonder about it and what it means for your role as {Job_Title}. Well, you’ve found the right page. This article has everything you need to know about personalized user experience. Grab a {Favorite_Beverage} and we’ll dive in!
The quest to acquire customers and keep them engaged has made personalized experience indispensable for any company’s communication strategy. We now expect personalized emails and ads almost everywhere, so the battle has shifted towards providing customers with personalized experience for every interaction they have with a company. Personalized experience is becoming the norm, not an option.
For everyone from product managers and owners to UX designers, UX researchers and marketers, creating personalized experience for users who interact with their products and services now poses one of the greatest challenges. In this article we’ll cover what you need to know about personalization and how it affects your work.
First things first…
With the personalization process, a system identifies a user as a specific type of individual and then delivers relevant and individualized content and functionality to them. Personalization aims to enhance the experience of the users by anticipating and meeting their unique needs to guide them through a custom conversion funnel.
Personalization offers users better, more relevant and more individualized experiences. In turn, better user experiences ultimately translate into an increased conversion rate.
Excessive information and options distract users. Personalization helps reduce the amount of info and the number of options to guide users through a funnel specifically designed for them and their individual needs.
Personalization has proved to engage users more effectively, mainly because it makes them feel special. Also, if users don’t recognize products and services as personalized for them, it helps them create and reinforce a sense of identity and connectedness. This comes as they believe they get the same thing as everyone else.
Personalized experience increases user loyalty and affinity towards your brand as they encounter more relevant content and interactions and feel understood by the brand. In the long term, these emotions towards the brand help increase the customer lifetime value.
Personalization also involves delivering the right message to the right person at the right moment. Personalized experience shows your visitors you care and listen to them. Additionally, it increases the chances they read and digest the message, and then perform the action which you want to lead them towards. Leads tend to come back to your product or service if they feel you understand their pain points.
According to Evergage, first defining your strategy provides the best way to approach personalized experience. If you don’t know where to start, begin by outlining the why, who, where and what.
Why do you want to personalize your customer’s experience in the first place? What are you trying to achieve through personalization? You may find this question a no-brainer, but figuring out the exact reason why you want to start personalizing holds the key element of the strategy. Do you want to:
Answering this question will outline your main goal for personalizing the physical and the digital customer experience. This high-level goal will likely align with your general marketing or even your overall business goals. Once you’ve thought about your goal for personalization in general, go further and break it down into more specific and measurable goals for the short or medium term.
Who makes up the target groups you want to speak differently to?
Think about your audiences and how they differ meaningfully. Define and map the differences between the target groups as precisely as you can.
Each individual has their own preferences for brands, categories, topics, colors, prices, etc. They might also have reached different stages of the conversion funnel. For these reasons, personalization must take the key differences into account. They will become the basis for the segmentation and rule-based campaigns.
Next, consider where you plan to introduce personalization. Start by thinking broadly about the channels you currently use to interact with customers, including:
Any channel where you regularly communicate makes a likely candidate for personalization. After considering that, get a little more granular and start thinking about different points of interaction to introduce personalization.
If you choose to personalize your website or mobile app, you can go deeper and consider what to change within your products. You can personalize content, images, features and even functionality. According to Nielsen Norman Group, a successful personalization goes beyond content and includes also processes or functionality to streamline users’ experiences.
Deciding which aspects of the customer’s experience to personalize will help you outline how the new personalized customer journeys would look. At this point, mapping the personalized customer journeys for each target group in particular comes in handy. Also, make them coherent and consistent. If you don’t know exactly how, check this article we wrote on customer journey mapping.
Finally, think about what you want to say to the identified target groups within the identified channels to achieve the identified goal. Do you want to:
Think broadly about the types of experiences to deliver and start making a list.
We can choose from many types of personalization methods, so you might feel overwhelmed by all the possibilities. However, according to Emarsys, the most common ones include navigational personalization, predictive recommendations and contextual messaging. Let’s take a short look at each one to see what they imply.
This method builds on the behavior that brought people to your site as well as their on-site browsing behavior and purchase history. Based on this information, you can actually customize how you want the users to navigate your website. For an online retail site where a visitor looks at a certain product but leaves without purchasing, you can prioritize the product to appear in an area where that user can clearly see it the next time they visit the site. This will increase the chances of them buying it.
When you go to the Amazon’s homepage, you usually see recommendation offers for products you have browsed before.
Recommendation engines can quite accurately predict products a person might find interesting by utilizing relevant buying behavior from other users from the same target group. If you’ve ever browsed or shopped for anything on an online retail store, phrases like “If you like this, you might also like…” or “Other customers also bought…” might sound familiar.
Again, Amazon’s example proves quite suggestive. When you go to a product page, you see recommendations for other products usually viewed together with it.
Another example of predictive recommendation comes from Netflix. The movie streaming platform prides itself on its elaborate content customization algorithms. They populate the home page with the most relevant content for each subscriber.
Finally, the contextual messaging personalization method allows you to customize messages to users based on characteristics such as location, customer behavior or type of device. Then you can deliver content of much higher relevance to users based on their location and behavior at the moment.
Amazon uses geo-location messaging to display to the user if they can ship the item to their location and the estimated delivery time.
User research and data lie at the heart of any personalization effort. Personalization requires a deep understanding of user needs as well as a solid framework for tracking and measuring user behavior. You have to use an approach combining qualitative research for both understanding the needs and motivations and collecting objective data about their context and online behavior.
Qualitative research can help create user personas that model typical target groups of users as well as identify the salient user characteristics a user profile should comprise. To determine where to start, check this short guide to get you on your way.
Regarding data analytics, identify and analyze all the information that can help tailor the user experience. These can include:
As mentioned, personalized experience can and should go beyond content, and touch on processes or functionality. This means we will have as many variations of a flow as target groups or personas. So it can easily get messy during design…
Therefore, we must use a modular design system. Modular design basically implies breaking the design into smaller chunks (“modules”), created independently which we then combine later into a larger system. This makes it possible to change or fit single elements without replacing the entire system. Read more about modular design in this article by one of my colleagues from UX studio.
The example below from A List Apart shows how the use of personalized and static components makes designing pages for each target group much easier. It has all the non-personalized static content (which never changes) in white. The color-coded zones contain the personalized content for each target group.
Users will now commonly start a task on one device, revisit it on another and finally finish on yet another during a day. Take into consideration this type of behavior when designing the journey of different customer groups.
As NN Group points out, users most commonly expect coherence and synchronization from multi-device operations. With the rise of mobility and the proliferation of new devices and interaction channels, users want their experience to move along with them as they change devices and context.
Therefore, when designing personalized experience, consider the whole customer journey, including the transition across devices. Aim to tie together the various touch points you have with the customer to create a seamless journey rather than a collection of disjointed interactions.
This also implies you should constantly discuss and align the personalization strategy with other departments such as marketing, sales or customer support. The customer interacts with one company, no matter the department, so they expect the same level of expertise from all interactions. An enjoyable experience with your organization regardless of the channels involved can make the crucial difference between your and your competitor’s offerings.
Personalization implies designing an experience without any effort from the customer. Customization, on the other hand, allows the customer to intentionally modify the experience. This means the system personalizes during use while the user customizes.
When Google displays ads based on your search history, it personalizes your experience. When you adjust your Gmail settings for the number of emails per page, you customize your email experience.
Both personalization and customization result in a more relevant experience for the customer. If you are wondering which better suits your situation, take this into consideration:
Soon, machine learning will take personalization to a whole different level. It will intelligently understand the story behind the user’s interactions and behavior while also continuously adapting to contextual factors.
Machines can make sense of the scads of user data. They can draw conclusions about each individual person, such as identifying a user’s persona, interests, attributes, intent or stage in the journey. This will allow companies to use real-time, one-to-one personalization (individualization) and while interacting with their customers.
Whether you’ve reached the point where you can start personalizing your user’s experience or not, consider the following:
Feel free to read our last week’s article, where you can learn what defines the best chatbot design and how to implement it within your business.
For additional reading, check out our Product Design book by our CEO, David Pasztor. We ship worldwide!
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