AdTech Vendor · Data Provider / Broker · vs · AdTech Vendor · B2B SaaS Provider
SQREEM vs ViralGains
Structured technology and market comparison · 2026
Direct Feature Comparison
SQREEM · vs · ViralGainsAudience intelligence and programmatic activation platform for enterprise marketers.
Privacy-first adtech for zero-party data capture and activation.
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Comparison Analysis
What is the main difference between SQREEM and ViralGains?
When comparing SQREEM and ViralGains, both platforms operate within the Demand-Side Platform (DSP), Connected TV (CTV) & OTT, and Native & Contextual Ads ecosystem. SQREEM is positioned as Audience intelligence and programmatic activation platform for enterprise marketers, whereas ViralGains focuses on Privacy-first adtech for zero-party data capture and activation. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to SQREEM and ViralGains?
When evaluating SQREEM and ViralGains, enterprise buyers also consider other platforms in Demand-Side Platform (DSP), Connected TV (CTV) & OTT, and Native & Contextual Ads. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of SQREEM and ViralGains compare?
SQREEM is headquartered in SG (founded in 2010) with 50–200 employees. ViralGains is based in US (founded in 2012) with 50–200 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: SQREEM vs ViralGains
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
SQREEM
Recent Signals
- ·AdExchangerAI
SQREEM Appoints New CEO, Touts Behavioral Model Over LLM
SQREEM, a behavioral intelligence company, appointed Stephen Yap as its new CEO. Yap, former CRO at Perion and a long-time Google executive, will lead the company's push to market its Large Behavioral Model (LBM) as a superior alternative to LLMs for predictive analytics. SQREEM's LBM uses state-space models to analyze behavioral correlations from real-time social media and open-web data, without relying on machine learning. The company claims this approach can generate audience personas and predict consumer behavior, citing examples like the correlation between green tea consumption and travel insurance purchases. SQREEM also demonstrated the model's practical use during the Cyclospora outbreak, helping a grocer client pivot its communication strategy based on audience insights.
- SQREEM appointed Stephen Yap as its new CEO on September 23, 2026.
- Stephen Yap previously served as CRO at Perion and spent nearly two decades at Google.
- SQREEM's Large Behavioral Model (LBM) uses state-space models, not machine learning or LLMs.
ViralGains
Recent Signals
No recent market signals documented for ViralGains in the current tracking window.
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