A Raptor Customer Case Study normally includes a commerce site where our recommendations are centered around products. But the Raptor recommendation engine is not only limited to product recommendations, which this case illustrates perfectly.

Nordic Hiit is an online training concept with online video workouts on demand.

The mission for Nordic Hiit has been clear from the beginning; it should be easy for everyone to live a healthy lifestyle in a busy everyday lifestyle.

Nordic Hiit has developed a platform which gives their users access to 1600 workout videos within categories like HIIT, Power Yoga, and Running. The videos can be accessed on their website and through their app.

The Challenge

With the increasing success, the team at Nordic Hiit wanted to develop its platform further. Nordic Hiit wanted to be able to present personalized video recommendations on their website and in their app based on the individual user’s behavior and preferences.

Nordic Hiit had to take their business from being a static “one-size-fits-all” delivery model, where every user was recommended the same videos, to a hyper-personalization model.

We wanted to make our site more personalized towards the individual user. The old solution was a “one size fits all”, where all users received the same training video every day no matter the training level, equipment, and goal. We needed a solution where our users get treated as individuals and receive a video that is tailored towards their behavior and preferences.

Ida-Wad_Nordic-HiitIda Wad Clemensen, Founder - Nordic Hiit

Nordic Hiit did not have the tools or the correct platform, to solve and meet these challenges and demands. Nordic Hiit’s agency, Novicell, turned to Raptor and asked if this was something Raptor was able to solve.

Raptor took on the challenge and started working on the foundation of the recommendation algorithm.

No matter the idea or challenge, Raptor was able to solve it. When the “Proof of Concept” had been developed, tested and approved, Raptor were fast to implement the solution on Nordic Hiit’s website and app. Raptor’s personalization engine is very scalable both horizontal and vertical in the sense that when Nordic Hiit comes up with an idea for the recommendations, Raptor has no problem solving it. They have moved the recommendations from a stage where they only needed to pick the next video to a more advanced setup, that involves many complex algorithms.

asger_laursen_500pxAsger Laursen, IT Architect - Novicell

The Solution

Every user on Nordic Hiit’s platforms has chosen a specific training level, training goal, training days, and what equipment they have available in their home, on their profile – which means there are a lot of different preferences that have to be taken into consideration when creating recommendations for the users.

Whenever a user clicks on “next video”, a signal is sent to Raptor’s recommendation engine. The Raptor recommendation engine then starts the process of finding the most relevant video for the individual user on Nordic Hiit’s platforms.

The algorithm starts by separating the three different training levels that the individual user has chosen in their profile preference settings. This means that there are three different algorithm paths which are either beginner, intermediate, or advanced.

The recommendation engine then starts a data filtering process by looking at the individual user’s profile and based on the chosen equipment, training goal, and training days it will include and exclude videos from the video catalog containing 1600 videos. Likewise, the algorithm will make sure that the videos fit the current season, so the workout videos that fit into a winter environment do not get recommended in the summer months.

In the last step, the algorithm takes into consideration which workout videos you have watched recently. If you have just done a workout that trained your legs and abs, then the next video should not contain the same exercises.

Based on the above, the algorithm will find the most relevant video.

The algorithm starts this process every time a user clicks the “next video” button, to find the correct order of videos to show. All these steps in the algorithms happen within milliseconds, and therefore there won’t be any delay for the user.


We are proud of this case since it shows how custom our personalization engine can be. The results of the Nordic Hiit solution are a testament to the agility and customization of our solution. We emulate a personal trainer to find the most relevant workout videos, based on the user’s preferences. This will give the users the best training results based on their training level, goal, equipment, and previous workouts.

Jonas Skytte Madsen - RaptorJonas Skytte Madsen, Senior Consultant - Raptor Services

The Results

Even though the Raptor solution on Nordic Hiit’s platform is still fairly new, there are high expectations regarding future results.

We are very satisfied with the solution that Raptor has built. The solution is still new, but we expect that the implementation of personalization on our platforms will result in better training results for our clients, which means that they will stay with us longer, now that their experience with us is 100% personalized towards their behavior and preferences.

Ida-Wad_Nordic-HiitIda Wad Clemensen, Founder - Nordic Hiit

The implementation is also expected to increase customer satisfaction.

In the old solution, we experienced that a lot of our users found it annoying that the videos they got recommended entailed training equipment, which they did not have in their home and the training videos was not divided into the different training levels, so the workout was difficult for some of our members. This will not happen now due to the implementation of Raptor.

Ida-Wad_Nordic-HiitIda Wad Clemensen, Founder - Nordic Hiit

Another result of the implementation of Raptor has been that a lot more of the 1600 videos are being viewed, and not just the latest released videos. Before, a lot of the older videos did not get any views, since they did not appear anywhere after the initial release.


The Future

There is no plan to stop developing Nordic Hiit’s platforms regarding creating the most personalized online training experience in the market.

Raptor is a crucial part of Nordic Hiit’s present as well as future, which means that there are many projects yet to come where Raptor is involved.

Recently a ”favorite” button has been added to the videos, which users can use to save a workout they enjoyed.

The favorite button can be used to create lists of the user’s favorite workouts, but we can also use the data to recommend related videos that other users who have liked the same videos have seen. As we all know from Spotify, where they create playlists based on the music, we listen to, I imagine we can do the same for video workouts. If a user has watched a lot of workout videos about yoga or stretching, then we can create a playlist with more videos like the ones they have watched.

asger_laursen_500pxAsger Laursen, IT Architect, Novicell

Trigger messaging is also a part of the future setup for Nordic Hiit’s platforms.

If a user has been at the same training level for a certain amount of time, we can use Raptor’s triggers both on our website, in the app and through email to send messages like “Is it time to take your training to the next level?” and hereby try to get users to watch new videos, which hopefully means that they will remain a member.

asger_laursen_500pxAsger Laursen, IT Architect - Novicell

Based on all Nordic Hiit’s user’s behavior such as clicks, favorites, and profile settings, such as training level, goals, equipment, etc. the plan is to create a public playlist that is tailored towards the individual, which can create even more value for the user.

Key Takeaways

Raptor has helped Nordic Hiit take their home workout platform to the next level, offering a personalized and induvidual workout experience for their users. This case proves that the right personalization engine can be customized and tailored to any business and its goals.

  • Nordic Hiit went from a static one-size-fits-all model to a dynamic 1:1 personalized workout experience

  • Raptor’s personalization engine can be customized in order to fit any business

  • The right personalization engine can be used to personalize any businesses customer journey

  • Raptor is a part of Nordic Hiit’s further development of their platform, that includes features such as trigger messaging