Creative is the key to user acquisition for game developers, and data is the key to optimizing for your target audience, drilling down to what converts, and more. For more on gaining a competitive edge with new creative processes and technologies, join GamesBeat's Dean Takahashi and more at this VB Live event. When it comes to user acquisition, the most pressing challenge game developers face is simply consumer attention. There's a tremendous amount of competition for the precious free time people have between responsibilities, says Noa Miller, marketing creative strategist at yellowHEAD. "You're competing to make playing games a priority," Miller says.

AI Daily Roundup starts today! We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence, Machine Learning, Robotic Process Automation, Fintech and human-system interactions. We will cover the role of AI Daily Roundup and their application in various industries and daily lives. SEMrush, leading online visibility management, and content marketing SaaS platform, has further expanded its ecosystem with the acquisition of a 100% stake in fast-growing public relations SaaS startup Prowly.com.

Sometimes it's not just the data you have that makes a difference for your mobile app or game business. It's also about how you look at it, according to digital marketing agency YellowHead. YellowHead has specialized in app store optimization (ASO), or obtaining mobile users by optimizing an app for the way it can be discovered in an app store. As the cost of user acquisition soars, mobile game and app developers need alternatives. With app store optimization, developers make sure that their keywords, descriptions, icons, and metadata make their app easily discoverable amid a sea of a few million apps.

YellowHead has launched Alison, a machine learning technology that predicts how mobile advertising campaigns, known as paid user acquisition, will turn out. The Israeli startup helps mobile app and game developers get better results from ads. It specializes in paid user acquisition campaigns, app store optimization, and search engine optimization. And now it has added Alison to use machine learning to predict a campaign's performance in the hopes of uncovering more insights for brands and wasting less advertising money. Top university math professors at the Data Science Research Team at Tel Aviv University and the company's developers worked on Alison, which supplements human intelligence to optimize campaigns based on predicted results across multiple ad platforms such as Facebook and Google.