Resources

Success stories and insights from
partnerships and the press

Resources

Success stories and insights from
partnerships and the press

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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.
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.
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.
The idea for Bigabid came from a simple understanding that there’s a lack of efficiency of how things are being made in our industry. The media industry is fascinating as it is evolving and changing all the time and I was lucky to get exposed to it early in my career.
Customer lifetime value is the amount of revenue that you can expect from a customer over the period that your service will be provided to them. So, this metric is clearly dependent on how long a customer will use your service and how much they’d be paying you.
We bring the most advanced technology to the digital media world. Using military methods to analyze data and make decisions in real-time helps our app developer customers reach their users. For example. Bigabid has mapped the app stores in a way that aids developers through a technology we created called Deep Categories.
The moat in those fields is primarily the data sets your models are trained on and, to a lesser degree, the DL architecture you are using. In other areas, hand-crafted features and domain knowledge, as well as the unique data sets you have access to, will be the game-changers.
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