MarTech Vendor · Data Provider / Broker · vs · AdTech Vendor · Data Provider / Broker
Demandbase vs SQREEM
Structured technology and market comparison · 2026
Direct Feature Comparison
Demandbase · vs · SQREEMB2B account-based marketing, advertising and sales intelligence platform.
Audience intelligence and programmatic activation platform for enterprise marketers.
Analyze all overlapping signals and tech stacks for Demandbase and SQREEM
Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between Demandbase and SQREEM?
When comparing Demandbase and SQREEM, both platforms operate within the Demand-Side Platform (DSP), Connected TV (CTV) & OTT, and Native & Contextual Ads ecosystem. Demandbase is positioned as B2B account-based marketing, advertising and sales intelligence platform, whereas SQREEM focuses on Audience intelligence and programmatic activation platform for enterprise marketers. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to Demandbase and SQREEM?
When evaluating Demandbase and SQREEM, 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 Demandbase and SQREEM compare?
Demandbase is headquartered in US (founded in 2006) with 501–1,000 employees. SQREEM is based in SG (founded in 2010) with 50–200 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: Demandbase vs SQREEM
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
Demandbase
Recent Signals
- ·Demandbase
Demandbase Launches New AI Agents to Lead the B2A Marketing Era
Demandbase announces three new AI agents, led by the AEO Agent, to help B2B marketers shape how AI assistants discover, evaluate, and recommend their brands.
- ·https://martech.org/feed/Marketing Automation
Marketo Co-founder Launches AI Marketing Automation Platform Phave
Jon Miller, co-founder of Marketo and Engagio, together with Nick Bonfiglio, formerly head of product and engineering at Marketo, has launched Phave, an AI-powered marketing automation platform for enterprise B2B organizations. After two years in stealth, Phave reached general availability in August 2026 and is now used by 10 companies. Designed to replace legacy MAPs like Marketo, Pardot, Eloqua, and HubSpot, Phave's intelligence engine, Maestro, generates personalized 'Playlists' that dynamically sequence marketing touches based on real-time data, objectives, and governance. The platform treats contacts, accounts, and buying groups as first-class objects, supports natural language configuration, and offers headless access via MCP (exposing 319 tools) and REST API. In an independent evaluation against 481 requirements, Phave scored 2.97, outperforming HubSpot (2.46) and Marketo (2.38). Early enterprise customers include SambaNova, SPS Commerce, mabl, Servion, and Hypha.
- Jon Miller and Nick Bonfiglio founded Phave, an AI-powered B2B marketing automation platform.
- Phave emerged from stealth and reached general availability in August 2026, currently serving 10 companies.
- Phave uses AI reasoning models (via Maestro) and 'Playlists' to personalize and sequence marketing actions.
- ·Demandbase
Demandbase Launches Mojo, the B2B Marketing Agent that Learns from Every Campaign
Demandbase launches Mojo, a B2B marketing agent that turns briefs into live cross-channel campaigns across connected tools like Google Ads, Marketo, and Salesforce.
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.
Compare their exact ecosystem overlaps.
Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners Demandbase and SQREEM share across the market ecosystem.
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