Moat Analytics Overview

Moat Analytics measures ad effectiveness and content engagement beyond traditional metrics for top brands and publishers. It exports visual data to optimize campaigns and understand industry performance in real-time.

Use Cases

Customers recommend Advertisement, Competitive Intelligence, Social Media Management, as the business use cases that they have been most satisfied with while using Moat Analytics.

Other use cases:

  • Sending & Publishing Communications
  • Engaging And Following Up
  • Lead Analytics
  • Campaign Management
  • Offer Management
  • Creative Agency
  • Products & Pricelist Management
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Business Priorities

Launch New Products and Enhance Customer Relationships are the most popular business priorities that customers and associates have achieved using Moat Analytics.

Other priorities:

  • Enter New Markets Internationally Or Locally
  • Improve Brand Engagement
  • Build Brand Awareness
  • Improve ROI
  • Grow Market Share
  • Increase Sales & Revenue
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Moat Analytics Use-Cases and Business Priorities: Customer Satisfaction Data

Moat Analytics works with different mediums / channels such as Social Media.

Moat Analytics's features include Dashboard, and Alerts: Popups & Notifications. and Moat Analytics support capabilities include Email Support, Chat Support, Phone Support, etc. also Moat Analytics analytics capabilities include Analytics, and Custom Reports.

Reviews

"...4-The heatmap level metrics for advertising creatives that Moat offers i amazing and very helpful to work with...." Peer review by Sofia C, Marketing Coordinator, Food & Beverages

Moat Analytics, Tubular, Tenjin, Similarweb, CardinalCommerce, etc., all belong to a category of solutions that help Marketing Data Intelligence. Each of them excels in different abilities. Therefore, determining the best platform for your business will depend on your specific needs and requirements.

Popular Business Setting

for Moat Analytics

Top Industries

  • Retail
  • Marketing and Advertising
  • Consumer Goods

Popular in

  • Mid Market
  • Enterprise
  • Small Business

Moat Analytics is popular in Retail, Marketing And Advertising, and Consumer Goods and is widely used by Mid Market, Enterprise, and Small Business.

Moat Analytics Customer wins, Customer success stories, Case studies

How does Moat Analytics address your Competitive Intelligence Challenges?

How can Moat Analytics optimize your Social Media Management Workflow?

How does Moat Analytics address your Sending & Publishing Communications Challenges?

How can Moat Analytics enhance your Engaging And Following Up process?

11 buyers and buying teams have used Cuspera to assess how well Moat Analytics solved their Marketing Data Intelligence needs. Cuspera uses 428 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific Marketing Data Intelligence needs.

What is Oracle Moat Ad Search? What is Moat analytics: Outcomes: Reach and Moat Pro? Sasikumar Talks

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Peers used Moat Analytics for advertisement and competitive intelligence

Moat Analytics Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
Analytics

4.72/5 ★

Read Reviews (77)
Custom Reports

4.64/5 ★

Read Reviews (124)
CAPABILITIES RATINGS AND REVIEWS
Analytics

4.72/5 ★

Read Reviews (77)
Custom Reports

4.64/5 ★

Read Reviews (124)

Software Failure Risk Guidance

?

for Moat Analytics

Overall Risk Meter

Low Medium High

Top Failure Risks for Moat Analytics

Oracle Corporation News

Partnership

Apps Associates Advances OneOracle+AI with Customers on a Cloud Journey

Apps Associates, a key Oracle partner, enhances its OneOracle+AI strategy, integrating Oracle Fusion Applications, Oracle Cloud Infrastructure, and AI to support customer cloud transformations. This approach aids organizations in modernizing workloads and activating AI-driven insights, with services now available across various sectors.

Awards

Oracle Recognized as a Leader in Two Gartner Magic Quadrant Reports Assessing Agentic Finance and AI Capabilities

Oracle has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Cloud ERP for both Service-Centric and Product-Centric Enterprises. This recognition highlights Oracle's capabilities in agentic finance, driven by Oracle Fusion Cloud ERP's AI-powered features. The platform enhances finance operations with intelligent agents, predictive insights, and streamlined processes, benefiting organizations like Hearst, Black & Veatch, and PwC.

Partnership

Oracle Collaborates With Microsoft To Enhance Supply Chain Efficiency

Oracle and Microsoft have partnered to enhance supply chain efficiency by integrating Oracle Fusion Cloud SCM with Microsoft Azure IoT Operations and Microsoft Fabric. This integration aims to improve manufacturers' decision-making and operational efficiency by connecting real-time production data to enterprise workflows, enabling faster responses and reducing downtime.

Product

Fall event highlight - Oracle partners press ahead with AI app building, and air out the do's and don'ts of AI agents

Oracle announced its Fusion Applications AI Agent Marketplace, featuring launch partners like Apex IT and Auditoria.AI. This initiative enables partners to build AI applications tailored to specific customer needs, enhancing Oracle's AI ecosystem. The marketplace facilitates seamless integration across Oracle's platforms, reducing costs and complexity for customers. Partners benefit from Oracle's data connectivity, enabling faster and more efficient AI agent development.

Oracle Corporation Profile

Company Name

Oracle Corporation

Year Founded

1977

HQ Location

500 Oracle Parkway Redwood Shores, CA 94065

Employees

10001+

Social

Financials

IPO