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What is Argus by MINT?

MINT's Argus serves as an all-encompassing tool tailored for media accountability and analytics, specifically targeting marketing, procurement, and media teams. The platform meticulously evaluates media buying effectiveness at the placement level, ensuring it meets deal commitments and volume guarantees while presenting collaborative dashboards for monitoring expenditure and delivery metrics. Furthermore, Argus continuously benchmarks and provides cross-account analytics, allowing teams to identify ineffective placements, assess results, reallocate budgets, and address challenges in real-time during live campaigns. It also simplifies the management of proof points and market insights, thereby aiding in effective pricing and negotiation strategies. MINT emphasizes that Argus can manage portfolios spanning up to five markets each year, offering tailored access and integration with various source systems. By leveraging Argus, organizations can gain ongoing visibility into media expenses, quality, and compliance, transcending the typical confines of post-campaign evaluations. This forward-thinking methodology not only cultivates more informed decision-making but also significantly boosts the efficacy of overall media strategies, ultimately leading to improved campaign outcomes. In an ever-evolving media landscape, the adaptability and robustness of Argus will prove invaluable for teams striving for excellence in their media operations.

What is Adlook?

Adlook is a Brand Growth Partner delivering business results across the open internet, connected TV, audio, in-app, and in-game. Its Brand Growth Platform holds growth strategy, audience targeting, creative, activation, and measurement in one place, all in-house, with no add-ons, so clients aren't stitching audiences, creative, and measurement together from separate vendors. It is built for upper- and mid-funnel brand campaigns, reporting against business goals such as market share, ROI, sales, and brand equity, not media metrics alone. Behind the results sits Adlook Intelligence, the technology layer that gives each brand its own Deep Learning model, trained on that brand's own data rather than one shared model across every advertiser. Adlook People, the client development and technical account teams, plan and run campaigns, and the agentic AI layer, operates parts of the platform on the client's behalf. Key Features: - Deep Learning bidder, trained per advertiser and continuously retrained on live performance data - Content-based, LLM contextual, vector-based targeting across web, CTV, audio, in-app, and in-game - ID-agnostic targeting, with no third-party IDs required - Omnichannel reach across roughly 95% of the open internet on web, plus CTV, audio, in-app, and in-game inventory - Attention-based buying, optimizing pre-bid toward verified attention rather than viewability alone - In-house Creative Lab™ team, included in every campaign - Supply path optimization, reducing intermediaries between advertiser and publisher - In-house measurement suite, including Brand Lift Studies, cross-device attribution, and business-results tools such as Geo-Lift, offline sales, and footfall

Media

No images available

Media

No images available

Integrations Supported

MINT

Integrations Supported

API Availability

API Availability

Pricing Information

$198K
$198,000 for full portfolio coverage across up to five markets per year.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

MINT

Date Founded

2014

Company Location

Italy

Company Website

www.mint.ai/argus-by-mint

Company Facts

Organization Name

Adlook

Date Founded

2022

Company Location

United States

Company Website

adlook.com

Categories and Features

Media Buying

Not specified

Categories and Features

Media Buying

Not specified

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