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

"...We've mostly used standard monitoring tags here, which has been a great way to see what our ads are doing in the wild...." Peer review by Aaron N, Ad Operations Manager

Moat Analytics, Tubular, Tenjin, Similarweb, Visa Protect, 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

What makes Moat Analytics ideal for Competitive Intelligence?

How can Moat Analytics enhance your Social Media Management process?

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

How can Moat Analytics optimize your Engaging And Following Up Workflow?

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

Company

Oracle joins Singapore's enterprise AI push with support for 300 local firms

Oracle supports 300 Singaporean firms in AI adoption through the Enterprise Compute Initiative (ECI). The program offers up to $250,000 in cloud credits and training, with additional support for private cloud infrastructure. Oracle's AI Customer Excellence Center will aid in developing AI capabilities across various sectors, enhancing digital transformation and competitiveness.

Company

Oracle and the U . S . Department of Energy Collaborate to Accelerate AI Initiatives

Oracle and the U.S. Department of Energy have formed a collaboration to advance AI and computing initiatives, focusing on the Genesis Mission. This partnership aims to enhance AI capabilities, computing infrastructure, and data architecture to boost U.S. research productivity and innovation.

Product

Oracle brings Database@Google Cloud services in India

Oracle has launched Oracle Database@Google Cloud in India, allowing local access to Oracle database services in the Google Cloud Mumbai region. This service supports multicloud strategies, AI, analytics, and data residency needs. It integrates with Google Cloud's AI platforms, enabling enterprises to modernize applications and migrate workloads. The offering includes Oracle Exadata Database Service, Oracle Autonomous AI Database, and Oracle Autonomous AI Lakehouse.

Product

Oracle says it might let customers bring their own hardware into its data centers

Oracle is considering allowing customers to bring their own hardware into its data centers, potentially reducing Oracle's capital expenses. This approach is part of exploring various business models, including leasing options with chip providers. Additionally, Oracle has expanded its Database@Google Cloud offering to new regions, including India and Canada, enhancing multicloud capabilities and AI integration.

Oracle Corporation Profile

Company Name

Oracle Corporation

Year Founded

1977

HQ Location

500 Oracle Parkway Redwood Shores, CA 94065

Employees

10001+

Social

Financials

IPO