Resources

Success stories and insights from
partnerships and the press

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.
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.
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.
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.
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.
It’s been a week since iOS users started receiving notifications that they could turn off cross-app tracking and, unsurprisingly, it’s difficult to draw any meaningful conclusions so far.
A good ML model needs to not only be able to identify the obscure qualities of high LTV users but also output a “user score” that is precisely proportional to that quality. When predicting whether or not a user is going to have a high LTV, the model should calculate the following at the time of an auction…
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.
I’ve seen much value gained from building and maintaining a centralized feature store. Feature store is a centralized software library that contains many functions, where each function creates a single feature from a standardized input (data).
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.
“Deep learning costs a lot in compute resources, for marginal payoffs.”It’s important to note that the AI business model differs from a typical SaaS business model in the sense that there are higher cloud/compute resources costs associated with building models and execution.
Are you interested in getting into the field of data science? We don’t blame you. Data science is an exciting field that’s constantly changing and developing, which gives data scientists’ work endless potential.
Bigabid, a second-generation optimized DSP that helps app developers with user acquisition & re-engagement, is launching a new, proprietary mechanism called Precondition Targeting.
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