3 Powerful Content Personalization Examples That Boost Conversions

ic-card-modal
Card View
ic-list-modal
List View
list-main
example-company-tag
Facebook News Feed
timer
3 min read
Content

The best personalization strategies we can learn from Facebook News Feed

list-main
example-company-tag
Alo Moves
timer
3 min read
Content

How Alo Moves use online surveys to achieve exceptional content personalization

list-main
example-company-tag
Booking.com
timer
2 min read
Content

How Booking.com leverages data and personalization to enhance customer experience

List View

The best personalization strategies we can learn from Facebook News Feed

Your Facebook News Feed is a highly personalized, ever-changing collection of photos, videos, updates from your family, friends, and the world. As you browse Facebook, Facebook News Feed will change before your eyes reflect what you'll most likely want to see.

Facebook's News Feed algorithm uses vast amounts of data to determine what you're interested in most and then shows you that information in a highly personalized format.

How data is collected

Facebook uses Machine Learning to process a massive amount of data and predict what content will resonate most with each individual.

According to Facebook News Feed, the following data will be collected and processed:

The publisher or writer you interact with most

People you interact with most are prioritized in your News Feed.

In this way, you can be sure that you see the latest exciting content from your friends, family, and desired sources. In fact, your most important sources are the people who may influence your Twitter feed or Facebook newsfeed the most.

The type of content you interact with most

Facebook News Feeds are fully personalized and prioritize the content on your news feed that you interact with most frequently.

Current popular and trending content

Posts that have gone viral and get the most engagement (likes, reactions, comments, and shares) will likely have an opportunity to appear at the top of your feed.

FB-list-data

Easy preferences setting for users

Facebook makes it easy for users to personalize their news feed. You have a variety of controls to customize and tailor your experience.

FB-preference

Various Surveys to value the result of personalization

To make sure the personalization is working and deliver the best result, Facebook conducts various surveys, including one-to-one interviews, in-app reviews and feedback, and surveys of many users every day.

Example of questions

FB-survey-01

Example of questions

FB-survey-02

Example of questions

FB-survey-03






How Alo Moves use online surveys to achieve exceptional content personalization

Alo Moves is a leading online yoga, fitness, and meditation company. They offer an extensive selection of yoga and fitness videos for every level of expertise.

New users begin their Alo Moves's journey with an onboarding survey. It is the perfect opportunity to gather information about a user's preferences, such as level of experience, preferred teaching style, etc. Alo Moves will then use the data to match the best possible instructor for that user.

A new user who clicks the sign-up button will see the welcome page with the title: LET'S FIND WHAT MOVES YOU.

AloMOves surevey home

Users need to answer five questions, set their preferences about the classes, teaching styles, and let All Moves understand their experience level.

Example of Questions: select the expereince skills

AloMoves survey 3

Example of questions: select the goals

AloMoves survey 4

Once you've completed your online survey, Alo Moves will customize its content to match your preferences.

AloMoves survey final

Alo Moves's specific online survey is designed to generate detailed and targeted content that is personalized for each user. It is a powerful tool that generates more revenue, attracts more customers, and improves customer experience.






How Booking.com leverages data and personalization to enhance customer experience

Booking.com is the market leader in the online travel booking industry and one of the most frequently visited websites globally.

Its powerful algorithms can quickly and accurately match customers with the best hotel or flight available at any given time.

Leverage Geolocation to offer Relevant Recommadation

Booking.com can offer relevant travel recommendations when visitors land on their website for the first time using geo-location.

Based on the visitor's IP address, the site can deliver appropriate recommendations to the user's current location. For example, Booking.com will show a visitor in Auckland the most popular travel destinations in New Zealand.

Booking.com_nz

Real-time Personalized Recommendation Base on Search Information

When a new visitor starts a search on Booking.com, Booking.com will record the search query and other information provided and update primary recommendations across pages.

For example, a user in New Zealand may search for information about Australia. After he finishes the search and clicks the homepage again, Booking.com will change the primary recommendations on the homepage to locations in Australia.

When the user re-visits Booking.com later, popular locations in Australia will still be the primary recommendations.

Booking.com - AU