These days, many people talk about personalization. Personalization is vital in business. It helps to differentiate business between laggards and leaders if you do it well. Personalization builds trust and loyalty, which significantly impacts a business. Personalization humanizes a brand. That’s why it works. Personalization aims to allow clients to understand that:
- A client is a business priority
- A business understands and knows its clients.
An email is the best example of personalization. Emails with personalized subject phrases have a 26% rise in the open rates. Netflix, Nike, Starbucks, and Spotify are other best personalization UX examples.
It’s a process that helps a business tailor client experiences and journeys. The tailoring targets the preferences and needs of each client. For instance, brands may have both a website and an app. Client experience must emphasize the two. You must account for every client and recognize them. Please don’t do this based on their interaction pattern with the brands.
Personalization puts a client at the core center of the brand’s rotation. As the business revolves around the client, it rises upon personalization. The practice helped 93% of B2B leaders to raise company revenue.
Customization vs. personalization
They both target tailoring content to the clients’ preferences who use the products offered. The difference arises in the approach they follow in content tailoring.
Personalization gets tailored from the end of the product providers. Business minds make data-driven assumptions.
They implement data analytics and display the relevant results to clients. Better personalization leads to a better client experience. The brand takes the lead to calculate decisions that favor clients.
In customization, clients do everything. They choose the options that tailor their experience and fit their needs. Clients sit in the driving seat to make their own decisions.
There are three main categories of customization:
Its personalization is based on data received from the users. The data is a truce source not built on assumptions. For example, Form fills Surveys, Purchase history, and browsing history.
It’s personalization that relies on the behavior patterns of users—the information results from product usage patterns that help in predictive analysis. For example, the recommended products will base on previous purchases.
It’s a personalization type that will base on pre-known data of the client. The pre-known data helps destroy relevant results. On the other hand, they will increase the chances of a user taking a desired action. Examples are device data and location data.
The relevance of personalization
Research done by Forrester shows that personalization is essential for marketers. It helps those who seek to boost their customer engagement and centricity. Offering user experience personalization is the foremost approach. It converts and attracts potential clients in CMOs.
When a brand personalizes its app or website, it targets to offer users what they want. They do this without clients asking for it. It limits the time and efforts the client will spend to find what they need. It enhances customer satisfaction and experience with the used technology.
Personalization use cases
When businesses integrate personalization with their current technological abilities, their revenue doubles, here are examples of personalization use cases that prove how it helps brands:
How ML and AI help in delivering personalization
Over 74% of online clients get frustrated with a website with irrelevant content. It makes it vital for the content to adapt and learn. Dynamic personalization enhances content to adapt and learn.
Brands use data analysis to personalize user experience. The provision relies on users’ behavior, attributes, and characteristics. Dynamic personalization uses ML (machine learning) to make projections of potential clients. It helps understand buying habits, needs-based n demographics, behavior, device, and geolocation.
ML is a vital part of dynamic personalization. It depends on the combination of filters, analytics, and algorithms. They predict the typical user behavior with brands. Here are the algorithms used:
It doesn’t rely on the client’s private data.
It relies on the client’s private data.
Once they receive the information, dynamic personalization helps tailor the client’s journeys. For example, google data tracks users’ upcoming commitments like appointments and interviews. It then notifies the clients beforehand.
How DXPs (Digital Experience Platforms help in delivering personalization
DXPs offer end-to-end optimization touchpoints and personalized customer experiences across all client interactions. DXP combines client analytics, marketing, and data automation. They help to attract and build potential clients. It improves user experience by offering real-time personalized information on all channels.
Online Shopping experience enhancements with AEM by John Lewis
John Lewis is among the UK’s flagship retail brands. The digital asset manager for John Lewis, Shane Chapman, revealed that clients who shop online and in-store are very loyal to brands. As a result, these clients get a longtime high value.
John Lewis used Adobe Experience Manager assets to support personalized and dynamic media. It enabled website visitors to click on the product image they wanted. They could change colors and other factors dynamically to fit their needs.
Best personalization practices
Brands are trying to invest in personalization. However, their efforts seem to fall short because they cannot meet client expectations. It’s good to invest in personalization using the best practices. They will make your efforts count.
Gather user data (responsible way)
The first personalization step is to concentrate on the first-party data from users. Then, use the following tactics to collect these data.
- Use signup to collect data.
- Gather the explicit data post signup.
- Personalize based on implicit data like behavior patterns.
- Do email marketing targeting users.
The best way to collect first-party data is to seek users’ consent before starting.
After gathering and analyzing user data, continue to implement implicit and contextual personalization. For example, Spotify has an extensive music collection. Users are free to choose and listen to songs that they want. They use ML, Big Data, and AI to give a personalized user experience.
Another vital factor in personalization is to identify the user’s location. The best approach to offer personalized content to visitors’ channels is to use Geological targeting.
Using Push notifications
At times users consider the push notifications annoying. Despite this, it’s a perfect way to engage them when they aren’t active on the website or app. It maintains the brand name fresh in their minds and updates them on new app or website additions.
Begin from the user’s endpoint
Netflix uses this feature. If a user doesn’t watch a movie or program to the end, the app saves the endpoint where the user left. It restarts from there when the user logs back into it.
Another strategy used by eCommerce websites is to show users what they browsed last. Some brands will go a step ahead to send notifications about products left in the cart section.
Users shouldn’t have to keep track of the journey they made in an app or website. The app or website does on their behalf.
To succeed in the current dynamic era, you need to structure, plan, and align your strategies. They need to revolve around clients. The above write conveys personalization details. You now know how you can dominate the organization’s expansion strategy. If you are fresh in the field, you need to involve user experience consultants. They will help to rank high in personalization from the initial stages. Personalization will build your authority, trust, leads, and fanbase. It will lead to conversions if you do it right.
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