Bigabid
Delivers high-quality mobile user acquisition and retention through AI-powered programmatic advertising that optimizes for performance metrics like ROAS, LTV, and retention rather than just installs.
Last updated Feb 26, 2026 by AI Enrichment
- Industry
- Mobile Advertising/Programmatic DSP
- Business Model
- SaaS/Platform
- Target Market
- Mid-Market to Enterprise
- Employee Count
- 51-200
- API Available
- Yes
Market Position
Specialized mobile-first DSP focused on performance-based app marketing with AI-driven optimization
Overview
Bigabid is a mobile-first advertising technology company that leverages artificial intelligence and machine learning to deliver programmatic user acquisition and retargeting solutions for mobile app marketers. The platform focuses on performance-based advertising, utilizing predictive algorithms to optimize campaign performance and maximize return on ad spend (ROAS) for app developers and marketers. The company operates as a demand-side platform (DSP) with proprietary bidding technology that analyzes user behavior patterns to identify high-value users for mobile apps. Bigabid's platform serves app marketers across various verticals including gaming, e-commerce, finance, and entertainment, providing full-funnel solutions from user acquisition to re-engagement and retention. Bigabid has established itself as a significant player in the mobile app marketing ecosystem, particularly known for its AI-driven approach to programmatic advertising and its focus on delivering measurable performance outcomes. The company operates globally, serving clients across multiple regions and maintaining partnerships with major mobile measurement partners (MMPs) and ad exchanges.
Products & Features
User Acquisition Platform
AI-powered programmatic platform for acquiring high-quality mobile app users at scale
Retargeting Solution
Re-engagement campaigns targeting existing users to drive retention and lifetime value
Creative Studio
Dynamic creative optimization and management for mobile ad campaigns
Predictive Analytics
Machine learning models that predict user behavior and optimize bidding strategies
Key Features
AI-powered bidding algorithmsReal-time campaign optimizationCross-channel programmatic buyingLTV prediction and optimizationFraud prevention technologyDynamic creative optimizationAdvanced audience segmentationPerformance-based pricing models
Use Cases
Mobile game user acquisitionE-commerce app customer acquisitionFinance and fintech app downloadsSubscription app user growthApp re-engagement and retention campaignsCross-promotion for app portfoliosPerformance marketing for high-LTV users
Customer Segments
Mobile game developersE-commerce appsFintech and banking appsEntertainment and streaming appsSocial and dating appsUtility and productivity appsMobile app publishers with multiple titles