What is the next hot thing in global gaming markets?
What elements should I add to my game to make it more attractive?
Who are my core players and how can I reach them?

We can help you to solve all these problems. Kinrate Analytics offers:

  • The best cross-platform game recommendation engine for targeted marketing
  • A novel profiling-as-a-service solution for intelligent market segmentation and social networking
  • Advanced market prediction analyses for identifying emergent gaming trends and players’ game choice
  • Access to unique AI-enhanced data of 140,000 game titles and 48 Million game players

The products of Kinrate Analytics have been developed in university-led research projects in collaboration of economists, psychologists, game scholars, and data scientists. Together we have been able to put forward a cutting-edge method for generating and combining player market data & game data with state of art machine-learning and artificial intelligence.

Whether you are a game developer, a game business consultant, a publisher, or a cloud gaming operator, we have the right tools for you to enhance the gaming experience of your customers.

Create y
our kind of games. We will find your kind of players.

Panel 1

Game Recommendations

We have developed Kinrate AI to generate personalized game recommendations to target audiences. Kinrate AI is a hybrid model, which combines both collaborative filtering and content-based approach.

A solution to the cold-start problem of bad recommendations

By teaching AI with player data of more than 48 Million game players worldwide, we have been able to develop a great cross-platform game recommendation engine.

In contrast to established products, our recommender is a plug-and-play model, tailored for game business purposes. Our model can be integrated directly to your tech with our API.

A breakthrough tool for generating unique player and game data

Kinrate AI has learned to predict both player profiles and latent qualities for digital games. To date, Kinrate AI has learned to portray a total of 12,000 games according to 61 latent gameplay characteristics, which measure six main factors of players’ gameplay preferences: aggression, management, exploration, care-taking, coordination, and problem-solving. We have validated the model in Denmark, Finland, Japan, and Canada (link).

An intelligent similar games search engine (try!)

Kinrate search engine finds similar games based on the unique AI-generated latent data. The search engine can be integrated to e.g., your marketplace. By finding the searched title and games similar to it, your customers are likely to spend more time and money on your platform.

Panel 2

Player Personas

Kinrate player personas is a profiling-as-a-service solution for understanding your current and potential player-customers.

The twelve original Kinrate player personas can be utilized in analyzing unique characteristics of your customer base by comparing its traits with our existing player data.

Kinrate player personas:

From left: ShepherdCommanderSageKnightExplorerMercenary
From left: AdventurerMuseDaredevilWarlordAcrobatArranger

Understand your core player audiences

We can also construct unique player personas for you by analyzing e.g., genre-specific or technology-bound player segments (e.g., esports players, f2p mobile players) or by investigating latent traits of your customer base, whether it is a cloud gaming site, a game streaming service or a game marketplace.

Give your users a player identity and enhance engagement & social networking

Player personas can be utilized in developing social network services. Millions of players seek gaming company to play multiplayer games. By utilizing Kinrate Player Persona approach, you can help players to find their kind of players which enhances retention on your platform, and brings your customer experience to the next level.

Instant personalized game recommendations

We can profile your customers by asking them to take a short gamified player type test, by analyzing their online behavior data, or by combining these two approaches. As a result, your users can be given their player type and immediate personalized game recommendations.

Our existing player type test can be browsed here (link).

 “Excellent instant recommendations! I went through the first 30 games in my list, and those games which I haven’t played yet, I’d like to try”

“My player type was Shepherd 99%, and I identified myself from the description! I had not even heard about some of the recommended games. I wrote a few up, and I will definitely check those later”

“Pretty good match with my profile, I was a 92 % Knight. Game recommendations were also top-notch”

Panel 3

Market Research & Unique Data

By gaining access to our game data and player data, you can familiarize yourself with demographics, gameplay preferences, player types, and favorite digital games of your core audiences. You can also test how the characteristics of your to-be-developed game matches with gaming preferences of different kind of player clusters.

Data-driven competition analysis report

By accessing our data, you can generate a tailored competition analysis report. A competition analysis report helps you to communicate to e.g. investors why they should consider funding your game. It also helps you to design a marketing strategy to reach your core customers.

Knowledge on emerging gaming trends

By studying our data of 60k games and 48M players you can gain knowledge of how players’ gaming preferences change through time. This helps you to make data-driven decisions on what games should be developed and published.

Advanced machine-learning models

We have combined our player and game data with our extensive player market research data. This makes it possible to analyse probable motivations to play, purchase reasons, game aesthetics preferences, genre preferences etc. of your identified core player-customers.

Panel 4

Team & Contact

Picture of Aki Koponen
Dr. Aki Koponen
Picture of Jukka Vahlo
Dr. Jukka Vahlo



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