Moat Analytics
Digital analytics software
Marketing analytics software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Moat Analytics
Moat Analytics is an advertising analytics and measurement product focused on digital ad verification and attention/viewability reporting. It is used by advertisers, agencies, and publishers to evaluate ad delivery quality and campaign performance across display and video placements. The product is commonly associated with viewability, invalid traffic detection, and brand-safety style measurement workflows, with reporting designed for media performance and verification teams.
Strong ad verification focus
Moat Analytics is purpose-built for measuring ad quality signals such as viewability and related delivery metrics. This makes it well-suited for teams that need verification-style reporting rather than general web/app analytics. It aligns to media operations and campaign governance use cases that are not typically covered by broader BI platforms.
Media performance reporting workflows
The product supports campaign-level reporting that helps teams compare placements, creatives, and publishers using consistent measurement definitions. This is useful for agencies and advertisers running multi-site media buys and needing standardized post-campaign analysis. It fits operational reporting needs that are more specialized than general marketing attribution tools.
Designed for advertiser–publisher ecosystem
Moat Analytics is oriented around the ad supply chain, which helps when measurement must be shared across advertisers, agencies, and publishers. Its reporting is structured around ad impressions and placements rather than only on-site user behavior. This can reduce the need to adapt general analytics tools to ad-verification requirements.
Not a full BI platform
Moat Analytics is not designed to replace general-purpose analytics or business intelligence tools used for broad data modeling and visualization. Organizations often still need separate systems for combining CRM, product, and revenue data with media metrics. This can add integration and governance work when stakeholders expect a single analytics layer.
Limited attribution breadth
The product’s core value centers on ad delivery quality and verification-style metrics rather than end-to-end multi-touch attribution across channels. Teams looking for unified customer journey analytics and revenue attribution may require additional marketing analytics tooling. As a result, Moat Analytics typically complements, rather than replaces, attribution-focused platforms.
Best fit for paid media teams
Moat Analytics is most relevant for organizations with meaningful digital advertising spend and a need for verification and viewability governance. For smaller teams or those focused primarily on owned-channel analytics (web/app behavior), the feature set may be less applicable. This can limit adoption outside media buying, ad operations, and compliance stakeholders.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Enterprise / Subscription | Custom pricing — contact Oracle Sales / My Oracle Support | Enterprise-grade ad measurement (viewability, attention metrics, invalid-traffic detection, brand-safety/contextual analysis); MRC-accredited measurement; integrations with Oracle Advertising & CX. Pricing is not published on Oracle's public product pages and appears to be sold via enterprise sales/onboarding. |
Seller details
Oracle Corporation
Austin, Texas, USA
1977
Public
https://www.oracle.com/
https://x.com/oracle
https://www.linkedin.com/company/oracle/
