Quart is to unve AreaA tool that allows AI to try the methods of getting user to simulated audiences to facilitate the audience’s audience.
Taking User (UA) is one of the largest gaming challenges today. If indie developers or major studios, teams are forced to spend ten or even thousands in test dollars to determine what to act with audience. This process, trusted by traditional tracticational platforms and
Aponboard, the company at the back of Do-It-Ive Development Tindritbox, resolved it in Quvy.com that provides the sympecial audiences of cost-tourding companies with their true audiences to the velocity audiences.
The team mentions the main point of pain for Indie developers: Expense of taking high users (UA). They make a solution using AI to meet audiences, which reduces UA costs from $ 400,000 to $ 4,000, Zweig said. Here is a LEARNING CASE.
“AI, developed for more than six months, predicted the correct ad, keeping time and money,” says Zweig. “Reference can also touch the wider implications of Synthetic Data on AI, the Sports Challenges to Keep Esports, and the impact of large game releases such as Grand Theft Auto VI.”
Why are Quy things right now
UA costs continue to climb. The acquisition of a mobile gaming user can exceed $ 50. Creating today is favored by studios with many budgets, leaving little developers.
Quvy level levels on the playground. It replaced the expensive, slowly testing one / B to easily, predictive simulations. Developers can try thousands of creations in minutes, simply launches primary performers and save time and money.
“One of the biggest answers we’ve earned when we asked the community about the biggest points of pain for an indie developer, and more cost to UA,” Zweig. “How do you make fun of big men? Our CTO thinks the crazy idea, ‘Why don’t we set audiences to test ads in UA costs?'”
The company has tried it and it is “crazy effective,” Zweig said.
Why is it a game-chaner for big publishers
Top Gaming companies spend a lot of amounts of money test ads before being launched. In Quy, they don’t need anything. The simulates are allowed:
- The fast test cycles – what a week takes now minutes
- Much storage cost cost – great reduction in ad test cost
- Smarter creative decisions – Quvy predicted the winners before spending
- No thought – Validate thousands of differences cheap
- The resource resource recovery – Hours of storage times for tracking and data analysis
- Higher Conduct Campaigns – Results ads better able and have a higher rate of campaign success
- Safe Environment – Protect your unique ideas from public revelation while gaining valuable actions.
- Press the true control group – Keep your future audience and customers unstoppable as you find the best creative show.
A billion dollars moment
The Global Digital Ad Market is expected to exceed $ 730 billion in 2025, with AI-Power Marketing growing in 26.7% CAGR. Traditional A / B testing tools consist of over $ 50 billion in the market. The audience referred to by Quvy – an emergence of $ 20 billion to the $ 30 billion category, growing at 30% + each year. Reshping how developers egumes carrying out pre-created creative ideas.
“Knowing should not be limited to those with the largest budgets,” Zweig said. “We’re proud to offer Quy at a cheap price to make any games sell their games and apps effectively as the biggest studio and world companies.”
If you launch your first game or handle a global budget of UA, Quvy offers, faster, and cheaper way to win.
“By lowering the barrier of the creation test, we help developers to fall based on quality and recovery – not just advertising ad,” says Adig.
The aponboard is built on first tools with the power of funners. Its flag product, building, allows anyone to make games and apps without coding. The most recent revision, uses simulated audiences to predict the production of committing before being launched. Together, they make a joint ecosystem for construction, try, and scaling creative ideas.
How it works
Usually need a network of ads about seven days to determine what works in terms of ads for players. With Quvy, it takes about three minutes, says Zweig.
The company makes it by trying ads for claiming users of synthetic people. It’s like how Jensen Huang, CEO of NVIDIAtalking to CES about testing robots in “synthetic data.” A company can be lucky to test a vehicle that is self-driving for a million miles, but cannot identify all emergency situations that can carry a vehicle. But in synthetic data, the company can try a car for the billions of miles in a virtual surroundings in the real world.
The same principle applies to synthetic data for the user’s acquisition, Zweig said.
“They are synthetic people, but they have real emotions, real taste, real judgment, real liking,” he said. “It’s amazing. If we see an ad, what is in our brain is very different. And you can justify it in real math, then justifiable for many data sets.”
The company runs a set of ads in places like QVC and Facebook to find out if the best ads are for platforms. And it can be taken in response to a part of the time and costs in other ways.
“It’s unbelievable what you can model the right data,” he said.
Took about six months to build Quy, with a small part of the aponboard team. Meanwhile, the buildbox is still useful, Zweig said.
