FitMyFoot uses technology to create personalized shoes. Whole Foods app helps online and in-store. Vi offers personalized virtual career training. Listen to the world's most downloaded B2B sales podcast Shutterfly is a website and application that allows you to create canvases, photo albums, calendars and even items with your own laminated photos.
While Shutterfly has gotten creative with personalized emails and subject lines, one unique thing it did recently was personalize item offerings in its app. If you download the Shutterfly smartphone app, create an account and give Shutterfly permission to access your photos, it will automatically identify photos with faces and place them on items you can buy in the app, such as these mugs, for example. However, when you do this, be very careful to obtain explicit permission to review someone's information to extract this data. When it came to Shutterfly, Pamela had already given the app permission to access her photos and connected the account to her Facebook account, where she approved a number of other related permissions.
If you don't get the right permissions and extract the right personalization data, it might seem unreliable or downright creepy. To continue with the previous story, we thought it might be useful to share more information about how, exactly, the retailer carried out the aforementioned personal prediction. As Duhigg explains in his article, which goes much deeper than I will here, every Target customer is assigned a guest ID number after the first interaction with the brand. This identifier is used to store the customer's demographic information, from ethnicity to work history, and to track purchasing behavior.
And by doing the latter, specifically with those who had in-store baby records, Target's marketing analysts were able to form a “pregnancy prediction score,” which allowed them to determine which buying patterns indicated a customer was in the early stages of expectation. That's when routines are forced to change. Suddenly, there is a deadline and people start buying products they've never considered before, such as “cocoa butter lotion” and “a bag big enough to work as a diaper bag,” the article says. Those are the behaviors that trigger Target's pregnancy prediction score, leading the client to receive special offers on baby-related items.
That is not to say that marketers should completely eliminate personalization, as it is effective when personalized emails are done correctly, for example, they have a 6.2% higher open rate than those that aren't. But in an era when the concern for privacy and security is growing,. Considering that the average online reader loses interest after about 15 seconds, personalizing mixed media content is an interesting and often effective approach. And while this type of customization is memorable, it is also time consuming.
So, if you set out to create it, make sure you target the right people. There's nothing worse than taking the time to produce something highly personalized, only to discover that you've sent it to someone who doesn't have the decision-making power they need. Those who know me are aware of my borderline obsession with hip hop, which is also the motivation for much of my online shopping behavior. And as I continued to scroll down, proper customization continued.
There was a headline that read “For a night with recommendations on what to stream on Amazon Prime, an activity that comprised most of my weekend. His recommendations for dog and kitchen products were also accurate. After all, those are the categories in which I shop the most. As much as I use Spotify, which is almost every day, I have never bothered to listen to my Discover Weekly playlist.
So, after a colleague caught my eye, I decided to give it a spin. But those behind Discover Weekly recognize that personalization is not a perfect science. They also have suggestions on how to improve it, such as adding the Discover Weekly songs you like to your library or skipping the ones you don't like. “If users advance quickly within the first 30 seconds of a song, Spotify's chief product officer, Matthew Ogle, and engineering manager Edward Newett, told Pasick, “The Discover The weekly algorithm interprets that as a “thumbs down” for that particular song and artist.
Not only did it benefit the customer: setting more realistic prices for periods of lower demand, but it also increased bookings made for them, but it was just one of the ways Twiddy delighted its customers with actionable and useful information. Since the brand began using this data to help owners make decisions such as pricing, its portfolio grew by more than 10%. With a seemingly unlimited product database, finding what you're looking for on Amazon can be quite difficult. Right on the homepage, you're analyzing my previous behavior and promoting products you think you might want.
When I go to a men's clothing store, my eyes glaze at the sight of all the possibilities. I often find myself paralyzed and not knowing what to buy. Bombfell leverages the data you provide through a style survey, compares it with other subscribers, and then, with the help of a personal stylist, sends packages to your customers with stylized outfits customized to their taste, shape and size. Similar to Bombfell but for women, Stitch Fix uses the information you provide about your personal size, shape and style, compares it to others in the system, and then a stylist selects the outfits you receive in the mail.
It's a personalized approach to buying clothes. Like Netflix, Hulu uses data on what shows I've watched and told me when that show has a new episode. This is incredibly useful, so I don't have to do my research to find that new episode of Last Man Standing. Spotify has a huge collection of music that you can choose from and listen to.
They take the music you've heard and make recommendations about other albums you might like. Like the example above from easyJet, Facebook has for some time now given a good overview of the best moments of users displayed on the platform, called Review of the Year. So, now, let's turn our attention to 13 examples of ecommerce customization that you can start implementing today. In this section, we'll look at 13 examples of e-commerce customization.
But in doing so, we'll also explore 5 proven strategies that you can use to customize the user experience for your online store, too. As a result of this customization, they saw conversion rates increase from 4.46% to 13.3%. Let's take a look at 2 examples of customization that nail this. As a result of this customization, they were able to add 14,000 members every month and convert 2.09% of the traffic that was actively leaving their site.
You can unlock this powerful technology 100% free by purchasing our OptinMonster Pro plan. Get started with OptinMonster today and see why more than 1,000,000 choose OptinMonster to gain more subscribers and customers. This change led to a 200% increase in ratings, which greatly improved Netflix's ability to select recommendations and offer a personalized homepage. This is a great example of how an app uses personalization creatively to drive traffic from one area of its application to another.
Another good example of e-commerce personalization is changing the homepage and navigation according to the interests of visitors. This is a good example of how to leverage Google data to deliver a personalized experience that matches the unique desires of individual users. Coca-Cola offered another example of (mostly) data-free personalization with the Share a Coke campaign, created by Ogilvy. This is a simple but crucial example of personalization for brands looking to maximize email engagement, conversion rates, and customer retention.
Some of the most impressive examples of personalization come from brands that make it a complete business model, offering 100% personalized experiences for each customer. But how does personalized marketing work, and how have other brands put it into practice without looking creepy? Here are eight great examples of brands that did it in a way that was fun rather than intrusive. Campaign Monitor, courtesy of Adidas, offers us this example of personalized email marketing. After Amazon's product recommendations, this may be the second most famous example of personalization.
This is a good example of how data-driven personalization is one of the most effective modern business models. This is an important example of how content personalization can make subscribers pay for a service. To illustrate this with a basic practical example, imagine that you land on an international website and that the content is displayed in your native language. Let's dive into content personalization and learn from the practical examples of e-commerce that lead the way in personalization.