Decision-making involves various tools and data sources, but data.ai is used on a daily basis and definitely became one of the main tools we look at as part of our process. Currently, we are onboarding the product, creative, and campaign management teams to leverage data.ai and are looking forward to expanding our use of the platform.

This study investigates the process of predicting a mobile gaming app installation from the point of view of a particular demand-side platform (DSP) while paying attention to user privacy and exploring the trade-off between privacy preservation and model performance.

Papaya Gaming positioned itself strongly with leading-edge marketing and aggressive scaling, so they needed a partner that could help them retarget high LTV users without interfering with their organic activity.

Huuuge partnered with Bigabid specifically for their extensive domain expertise in the Casino Simulation vertical and robust, proven technology, which involves highly advanced machine-learning capabilities.

Scaling – as is typical for Bigabid in retargeting campaigns, the results here quickly showed great ROAS, which maintained a steady increase that led to an almost immediate decision to grow the activity.

SciPlay’s Jackpot Party Casino was looking for new channels to re-engage its existing users. They already had an active re-engagement campaign but were looking to expand their options in new, innovative ways.

Based on Bigabid’s experience in the social casino space, we created a well-planned onboarding process that combines the strengths of our internal team with those of our partners, promising a high-potential ground for long-lasting successful campaigns.