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Brief
Bigabid

Bigabid

Mobile Advertisingbigabid.com

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 Jun 23, 2026 by the ATDb Editorial Team

Founded
2015
HQ
Tel Aviv, Israel
Connections
6

At a glance

Employees
51-200
6integrations

About

Specialized mobile-first DSP focused on performance-based app marketing with AI-driven optimization

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.

Business model

SaaS/Platform

Target market

Mid-Market to Enterprise

What they offer

  • 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

Tech & specs

Technology stack

Machine Learning/AIReal-time bidding (RTB)Programmatic advertisingBig data analyticsCloud infrastructure

Security & compliance

GDPRCCPASOC 2

Deployment

Cloud

API

Yes

Corporate history
  1. 2015 · Founded
Connection details
See integrations with Bigabid (6)

Explore further

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