The combination of a smart, fleet-of-foot leader and ‘no question is off limits’ led to some great insight. Probably the most interesting platform-centric interview coming out of Gamescom was Xbox head Phil Spencer sitting down with Eurogamer.

(Sorry in advance for this meme, grabbed via an Xbo圎RA thread … Xbox: Gamescom x Spencer x Eurogamer insight! These players leave shorter reviews at a higher ‘review to sales’ multiplier - but still love playing the game and pay you for it!

We’ve seen this before with clients’ games who have casual audiences. Strahinja notes: “If we take a game with a high sales/review ratio like Bravery and Greed and look at the games whose audience overlaps with it (Rogue Heroes: Ruins of Tasos, Backpack Hero), we see they also have a high sales/review ratios… if we look at Elden Ring we will see that the overlapping games (Dark Souls III, Monster Hunter: World) also have relatively low sales-to-review ratios.”Īudience - and really, we’re talking about personas here - is a combination of many demographics - region, types/genres of game played, etc. One final point on audience - which is less easy to graph. If your game has less reviews, it has a lower ‘review to player’ multiple: this is probably due to your title having a niche audience who have found it and love it? The ratio for Steam games with <100 reviews (36x) is almost 47% less than the ratio for titles with 1,000 to 10,000 Steam reviews (52.8x). And 100 reviews and 5,000 sales is a 50x ratio, aka multiplier: Reminder - a higher ‘review to sale ratio’ means less reviews per copy of your game sold. (He’ll continue to expand Gamalytic as a personal project, too…)Īnyhow, time to bust out a whole heap of his graphs on ‘how Steam reviews work’ with some helpful commentary, as follows. So, to paraphrase Victor Kiam, we liked it so much that we’ve made him our first (paid) Data Fellow, licensed his code/algorithms for GameDiscoverCo Plus (new revenue/player estimates coming soon!), and will work with him on multiple data analyses. Above is his estimate of ‘Steam sales multiplier’ distribution - he’s using lots of smart & complex data comparisons to go deeper into Steam data than we’ve seen. At GameDiscoverCo, we’ve surveyed the audience on this multiple times, revealing that you can multiply the # of reviews by ‘a number’ to get unit sales.īut what number? And how reliable is it? We were struck by excellent new research from a newcomer to the Steam analysis space, Strahinja Milenovic from Gamalytic. One of the best pieces of data we have from Steam is the number of reviews that a game has.

Steam 28.08.2023 for iphone instal