Bigabid Company Profile

Background

Bigabid is a data-driven ad-tech company specializing in machine learning-based solutions for mobile app marketing. Founded in 2015 by CTO Amit Attias and Ido Raz, the company is headquartered in Tel Aviv, Israel. Bigabid's mission is to accelerate app growth through advanced machine learning technologies, focusing on user acquisition and retargeting to deliver measurable results for its clients.

Key Strategic Focus

Bigabid's strategic focus centers on providing elite programmatic user acquisition and retargeting services for mobile apps. The company leverages its proprietary Gen 2 Demand Side Platform (DSP) to optimize performance by analyzing data in real-time, targeting users at peak potential to ensure the highest possible lifetime value (LTV). Bigabid's platform processes over 50 terabytes of data daily, analyzes 2 billion mobile devices per minute, and executes over 1 million predictions per second.

Financials and Funding

In February 2025, Bigabid secured $25 million in a Series A funding round led by MobilityWare, with participation from several leading angel investors. This investment aims to fuel the company's expansion and enhance its ad-based gaming models. Prior to this, Bigabid raised a $3 million Seed round in 2016. The funds are intended to strengthen the development team and accelerate the creation of next-generation machine learning models tailored for in-app advertising (IAA)-based gaming.

Technological Platform and Innovation

Bigabid's technological platform is distinguished by several proprietary technologies and methodologies:

Gen 2 DSP: This advanced platform optimizes performance by intelligently analyzing data in real-time, targeting users at the onset of peak potential to ensure the highest possible LTV.

Deep Categories: Unlike other platforms that delineate only a few dozen app categories, Bigabid's Deep Categories technology identifies over 1,000 app categories. This enhanced contextual data allows for precise targeting of maximum value users, even in a post-IDFA environment.

Data Science and Machine Learning: Bigabid's data science team provides insights and customized machine learning platforms, ensuring successful partnerships at any scale. The platform processes vast amounts of data daily, analyzing billions of mobile devices and executing millions of predictions per second.

Leadership Team

Amit Flohr: Chief Executive Officer. Under his leadership, Bigabid has achieved profitability and significant growth, expanding the team from 20 to around 100 employees over four and a half years.

Amit Attias: Co-Founder and Chief Technology Officer. He oversees the technological development and innovation of Bigabid's platform.

Ido Raz: Founder and Board Member. He plays a strategic role in guiding the company's direction and growth.

Shachar Bar (Berezniski): Vice President of Data. He leads the data science initiatives, ensuring the effective use of data in Bigabid's solutions.

Yotam Galon: Vice President of Operations and Growth. He manages partnerships, develops new relationships, and generates revenue to accelerate the company's growth.

Competitor Profile

Market Insights and Dynamics

The mobile advertising industry is highly competitive, with a focus on data-driven solutions for user acquisition and retargeting. The market is characterized by rapid technological advancements and a growing emphasis on machine learning and artificial intelligence to optimize ad performance.

Competitor Analysis

Key competitors in the mobile ad-tech space include:

Aarki: A venture capital-backed company based in San Francisco, CA, specializing in mobile advertising solutions.

Liftoff Mobile: A private equity-backed company located in Redwood City, CA, focusing on mobile app marketing and retargeting services.

Strategic Collaborations and Partnerships

Bigabid has established significant collaborations to strengthen its market position:

MobilityWare: The strategic partnership formed during the Series A funding round aims to expand Bigabid's media activity in the gaming sector and enhance ad-based gaming models.

Data.ai: Bigabid collaborates with Data.ai to increase productivity and uncover sales opportunities, leveraging Data.ai's platform to assess creative approaches and improve the creative production process.

Operational Insights

Bigabid's distinct competitive advantages include:

Advanced Machine Learning Capabilities: The company's proprietary technologies enable precise targeting and optimization of ad campaigns, leading to higher LTV for clients.

Deep Categories Technology: By identifying over 1,000 app categories, Bigabid offers enhanced contextual targeting, setting it apart from competitors with more limited categorization.

Strong Industry Partnerships: Collaborations with companies like MobilityWare and Data.ai enhance Bigabid's capabilities and market reach.

Strategic Opportunities and Future Directions

Bigabid's strategic roadmap includes:

Expansion in the Gaming Sector: Utilizing the Series A funding to develop next-generation machine learning models tailored for IAA-based gaming, aiming to improve targeting accuracy for specific player audiences.

Talent Acquisition: Strengthening the development team with key talent to support technological advancements and innovation.

Market Leadership: Continuing to lead the industry by offering cutting-edge technological solutions in the gaming and data markets, with the potential to generate significant revenue growth in the coming years.