Adelaide

Name: Adelaide
Brand: Adelaide

AI Native

Better Metrics, Better Results.

Est 2020

LinkedIn 8K|Web traffic 7K|FTEs 179|HQ New York, New York, US

01Competitive Landscape

Narrative analysis

- Adelaide versus attention-focused providers (Lumen, Amplified): Amplified emphasizes research-driven datasets and academic-style validations. Lumen emphasizes operational integration and has highlighted independent audits in some communications. Adelaide emphasizes a single normalized score (AU) and efforts to train it against outcome metrics and industry partnerships. - Adelaide versus verification incumbents (DV/IAS): Large verification vendors can bundle attention with fraud, viewability, and brand-safety services, which can reduce vendor proliferation. Adelaide may be considered where a buyer seeks a specialist attention metric to layer alongside incumbent verification tooling. - Market adoption signal: trade coverage has reported integrations of AU into broader measurement products such as Nielsen ONE, which is a signal of increasing integration of attention metrics into larger measurement stacks.

	Adelaide (AU)	DoubleVerify (DV Authentic Attention)	Lumen Research (Attention)
Starting Price	Not publicly listed (quote-based)	Not publicly listed (enterprise)	Not publicly listed for attention product; enterprise/service pricing varies
Recommended for	Brands/agencies seeking a cross-channel attention-based quality score and outcome-oriented signals	Teams already using DV for verification who want attention integrated into an existing verification workflow	Advertisers/publishers seeking attention measures rooted in eye-tracking research and related datasets
Key Strength	Vendor presents AU as a single, normalized score on a standardized scale intended for cross-channel comparison and trained against outcome signals	Integrated into a broader verification suite, which can simplify operational workflows	Research heritage in attention measurement with claims of independent audit/validation in some deployments
Key Weakness	Limited public methodological disclosures and a small independent user-review footprint; pricing is opaque	Attention is one module within a larger verification platform; buyers may still question the attention construct and its evaluation	Implementation can require service-oriented support and may not provide a single normalized cross-channel score in the same way AU is presented

01Competitive Landscape

Narrative analysis

Adelaide versus attention-focused providers (Lumen, Amplified): Amplified emphasizes research-driven datasets and academic-style validations. Lumen emphasizes operational integration and has highlighted independent audits in some communications. Adelaide emphasizes a single normalized score (AU) and efforts to train it against outcome metrics and industry partnerships.
Adelaide versus verification incumbents (DV/IAS): Large verification vendors can bundle attention with fraud, viewability, and brand-safety services, which can reduce vendor proliferation. Adelaide may be considered where a buyer seeks a specialist attention metric to layer alongside incumbent verification tooling.
Market adoption signal: trade coverage has reported integrations of AU into broader measurement products such as Nielsen ONE, which is a signal of increasing integration of attention metrics into larger measurement stacks.

	Adelaide (AU)	DoubleVerify (DV Authentic Attention)	Lumen Research (Attention)
Starting Price	Not publicly listed (quote-based)	Not publicly listed (enterprise)	Not publicly listed for attention product; enterprise/service pricing varies
Recommended for	Brands/agencies seeking a cross-channel attention-based quality score and outcome-oriented signals	Teams already using DV for verification who want attention integrated into an existing verification workflow	Advertisers/publishers seeking attention measures rooted in eye-tracking research and related datasets
Key Strength	Vendor presents AU as a single, normalized score on a standardized scale intended for cross-channel comparison and trained against outcome signals	Integrated into a broader verification suite, which can simplify operational workflows	Research heritage in attention measurement with claims of independent audit/validation in some deployments
Key Weakness	Limited public methodological disclosures and a small independent user-review footprint; pricing is opaque	Attention is one module within a larger verification platform; buyers may still question the attention construct and its evaluation	Implementation can require service-oriented support and may not provide a single normalized cross-channel score in the same way AU is presented

Adelaide

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map