Bigabid offers a proprietary Gen 2 demand-side platform (DSP) that utilizes machine learning to optimize user acquisition and retargeting by analyzing data in real-time. The platform targets high-value users across over 1,000 app categories, ensuring efficient ad spend and maximizing lifetime value (LTV) for mobile app developers.
Funding
$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Mobile app developers face challenges in efficiently acquiring and retaining high-value users due to the saturated app market and the difficulty in targeting the right audiences. Traditional app store categories are too broad, leading to wasted ad spend and lower return on investment.
Solution
Bigabid offers a Gen 2 demand-side platform (DSP) that leverages machine learning to optimize user acquisition and retargeting for mobile app developers. The platform analyzes data in real-time to identify and target high lifetime value (LTV) users across a wide range of app categories. Bigabid's proprietary technology, including Deep Categories, enhances contextual data to eliminate unfit audiences and precisely target maximum value users, even in a post-IDFA environment. By providing exclusive access to a data science team and customized machine learning platforms, Bigabid ensures a successful partnership at any scale, from campaign exploration to ongoing optimization.
Target Audience
Bigabid primarily serves mobile app developers and marketers looking to scale their user base and maximize lifetime value through programmatic advertising.
Features
- Proprietary Gen 2 DSP that optimizes performance through real-time data analysis and machine learning
- Deep Categories technology that delineates over 1,000 app categories for precise targeting
- Access to a data science team for insights and customized machine learning platforms
- Real-time data analysis for identifying user behavior and predicting LTV
- Support for both user acquisition and retargeting campaigns
- Advanced machine learning algorithms for creative personalization to maximize click-through rates (CTR) and return on ad spend (ROAS)
- Tools for building and managing user segments based on various characteristics and quantifiable metrics