Ad-Lib Digital is a company that offers a creative management platform. It leverages AI technologies to automate creative ad production workflows and optimize performance across multiple channels.
Ad-Lib clients are the world’s biggest brands such as Nestlé, Johnson & Johnson, Virgin Group, Warner Bros., and others.
In November of 2019, Ad-Lib successfully scored $6M in Series A funding from Fog City Capital. The company saw a business growth of more than 300% year-on-year.
Ad-Lib was looking to develop a creative management platform for digital advertising, which would automate, improve, and lower the cost of ad creative production.
Smooth takeover, proper MVP rebuild, fast transformation to a fully-featured product
Speedy construction of AdTech-specialized dev team
Ad-Lib’s competition was getting tougher and pressed the timeline. Thus, Xenoss significantly accelerated team hire and composition processes. Within just a quarter, we gathered a full team of 20 highly qualified engineering and product specialists for the project.
Painless project takeover and tech support
Xenoss enabled a smooth transition from the previous vendor without business interruption, which allowed Ad-Lib to focus on managing business problems. We provided the necessary tech assistance to help the client solve typical startup challenges, such as finalizing the product roadmap, passing due diligence, attracting investors.
Complete overhaul of the unstable legacy MVP
In a very limited timeframe and with minimal business losses to our client, Xenoss transformed a fragile MVP into an operable solution. It helped Ad-Lib onboard the first clients and triggered the revenue stream growth.
Cost-efficient scalable infrastructure
From the very beginning of development, the Xenoss team ensured solution readiness for expected business growth, which eventually helped the product manage high load and prevent a spike in infrastructure costs.
Advancing the technology with AI
Leveraging ML to boost ad creative workflows
Xenoss employed AI models that automatically identify attention catchers in images and crop it for cross-channel distribution. We’ve also added prediction algorithms that can determine which digital asset will be more effective and show better performance results.
Applying computer vision for video analysis
To include video support for ad creatives, we built in a custom video analysis module that can analyze every single frame of the video and automatically identify objects, people, text, and scenes. It adapts any video for multi-channel advertising campaigns.
MVP AS BASIS FOR
Further Growth
The well-balanced MVP we built let the client onboard big-name brands such as Tesco, Adidas, Nestlé, Johnson & Johnson, and served as solid basis for further product growth.
PRODUCTION SPEED INCREASE
By 75%
The employment of AI models for automatic cropping and resizing increased the creative production speed by 75%.
PRODUCTION COST REDUCTION BY
2.5 times
On average, the platform decreases the production cost of global ad campaigns for brands by 2.5 times.
MVP TIME-TO-MARKET
4 months
Xenoss transformed a low-quality MVP from the previous vendor into a working market-ready MVP in the record time of just 4 months.
TEAM CAPACITY
20 devs
The Xenoss team composed a team of highly skilled product and tech specialists with vast ad tech experience.
MAJOR INTEGRATIONS WITH
Top Media
We integrated the solution with the most popular rich-media platforms – Google, Facebook and YouTube – to ensure omni-channel creatives distribution and DCO.
Sounds interesting?
