Collective Audience, Inc (CAUD) Fair Value & Analysis
Technology · US · Market cap $20.0K
Fair value as of: Jun 26, 2026
Analysis
Collective Audience, Inc (CAUD) currently trades at $0.0100, while our model-based Fair Value estimate is $0.0090 — implying the stock looks roughly 9.9% overvalued today. We read business quality at 92/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
Collective Audience, Inc. provides audience-based performance advertising and media platform for brands, agencies and publishers in the United States. The company offers push business unit, such as lead generation and performance based engagement; BattleBridge, a full-service branding and digital marketing agency serving both external clients and other DLQ business units which offers branding and identity development in addition to digital strategy, and media buying services, as well as all necessary ancillary and supporting services to enable the branding and digital practices. It also provides push business unit, including Marble, a proprietary architecture that ingests data from owned and operated brands as a Consumer Data Profile; and Outcome, a self-service lead generation marketplace targeting SMB service providers. Collective Audience, Inc. is headquartered in New York, New York. Collective Audience, Inc. operates as a subsidiary of Logiq, Inc.
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.