GameRefinery Contextual Ad-Targeting
An automated affinity model based on over 700 analyzed data points that generates a list of games that are the optimal fit for your game’s UA campaign targeting
- An objective dataset that measures a breadth of features from core gameplay, look and ambience of the game, to estimated player demographics
- Data can be used to create an accessible pool of relevant audiences by finding the most relevant games with quality users
- Customers have been able to increase the amount of high LTV & high retention users acquired by using our data
"We’ve been able to over triple our UA spend on our selected ad network after adopting GameRefinery’s affinity data"
"GameRefinery’s automated discovery of games with affinity to our games takes the manual guess work out of finding sources to increase bids for. This has saved us a lot of time and increased the scale of our UA by discovering an order of magnitude more quality games than what we could find by ourselves or working directly with an ad network. We’ve been able to over triple our UA spend on our selected ad network after adopting GameRefinery’s affinity data."
Affinities are generated automatically
- All meaningful games are analyzed automatically
- On-demand analysis is possible
- Automated analysis uses a combination of visual recognition and natural language processing models
- 700+ data points per game
- Affinity score is calculated for each game specifically based on the similarity between all the features measured in the model
- Models are highly scalable – new features can be added at will