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Can Game Power Score Analysis really predict your game's commercial success?

Markus Ramark certainly thinks so

Can Game Power Score Analysis really predict your game's commercial success?

According to Markus Ramark, one of the key issues with the games industry is that there are lots of investors but also lots of uncertainty in terms of how to find good games.

"That's why we're seeing a lot of Finnish game companies raising a lot of money. Because people are investing in teams," he said at Pocket Gamer Connects Helsinki 2014.

In my crystal ball

This is a reasonable way to try to deal with risk but Ramark thinks there is another way.

Working with start-up Game Refinery, he's come up with what they're calling Game Power Score Analysis.

This is a predictive analysis - a grown up form of PocketGamer.biz's Monetizer if you like - for games that are still in development.

"We've already analysed hundreds of games, each looking at a 100 different variables," Ramark said.

In this way, each game gets a score out of 100. For example Clash of Clans scores 91.

But more significantly, the process can be used to test different scenarios in terms of how making changes to different aspects of a game will impact its eventual commercial success.

You can check out the entire speech below, or sign up to find out more about Game Refinery at its website.


You can see all the talks from Pocket Gamer Connects Helsinki 2014 here

Pocket Gamer Connects is the biggest mobile games show in Europe, which brings together the best speakers and delegates from across the industry and from all over the world.

To-date, Pocket Gamer Connects has been held in London and Helsinki, and the show will be heading back to the UK in January 2015.

To find out more about the latest show, head on over to www.pgconnects.com.


Contributing Editor

A Pocket Gamer co-founder, Jon is Contributing Editor at PG.biz which means he acts like a slightly confused uncle who's forgotten where he's left his glasses. As well as letters and cameras, he likes imaginary numbers and legumes.