PlayScience

Really (Really, Really) Big Data

Our big data infrastructure isn’t just big – it’s massive – we process more than 2000 API calls per SECOND on our platform.

And it also starts with clean data – we’ve spent years figuring out what data is really important, and how to have clean, accurate metrics calculated out of that data (anyone who has wrestled with session time will appreciate this)

We’ve built a complex, enterprise level hadoop and hive based infrastructure to process the thousands of calls and bits of data we collect every second.

Dynamic Scoring + Benchmarking

Player Level Analysis –  we’ll admit it, at Playnomics we like to score.  Our data helps us score each player on the individual level, which enables us to differentiate users from each other. This is the core of the PlayScience platform. And that level of granularity allows you to find attributes about customer behavior that may be hard to see using normal metrics – and that help uncover motivations that can become monetizing opportunities.

Multidimensional Scores - but we don’t stop scoring there. We then create sub-scores from a variety of metrics drawn from in-game behavior. Combining these scores show you a range of activity measures – ie, how loyal each player is, what their future spend patterns could be – and more. Then we put the power of the scores to work for you, by creating sound, well informed segment buckets – for each and every player.

Game-level Scoring and Benchmarking - having a common scoring system at the player level means the game itself can be scored. This allows you to really understand the health of your games across multiple dimensions. And, because your players’ scores are portable across games, you get information you couldn’t imagine about how the actual game is performing versus other games. It’s so specific, you can benchmark against others in the same genre, or even those who share the same types of mechanics and incentives.

Algorithmic, Predictive Segmentation

Dynamic Segments - players in games change from being engaged to at risk very quickly, so we watch their every move – our algorithmic targeting engine continuously buckets players every second of the day so the right players are placed in the right buckets at all times. We do all this, and you reap the spoils!

Psychographic / Personality – when people play they reveal an extraordinary amount about their core personality – how social they are, how competitive, how much of an explorer they are, etc. Part of the reason connected games are fascinating is the unique behavior revealed when millions of people get together and play. We draw from the most innovative minds in disciplines such as psychology, neuroscience and brand marketing, and then marry it to data around in-game activities. The result is a fundamentally different way to quantify the human mind.

Prediction – the holy grail for marketing is to be able to accurately predict which customers will be valuable before they become valuable, and to move them at the point of decision. PlayScience is the result of years refining our predictive algorithmic approach. Inspired by best practices in industries such as bioinformatics, information security, and finance, we can spot the right moment to motivate customers. It all counts on getting the right data, and finding the patterns in that data to predict the future. Can we predict the future? Well, we knew you’d ask that…

Contact Us Now To Predict Your Future ►