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Websites using Mfilterit



Total websites using Mfilterit is 34

Analytics

Okay, let s break down mFilterIt, focusing on the areas you asked about: overview, revenue, alternatives, pricing, and customer care.

Overview of mFilterIt

mFilterIt is an ad fraud detection and prevention platform that helps brands and advertisers identify and combat various forms of digital advertising fraud. They focus on ensuring that advertising budgets are spent effectively on reaching genuine audiences rather than fake or invalid impressions, clicks, and engagements.

Here s a summary of their key offerings:

  • Ad Fraud Detection: They use a combination of proprietary algorithms, machine learning, and data analysis to detect various types of ad fraud, including:
    • Click Fraud: Fake clicks generated by bots or click farms.
    • Impression Fraud: Invalid or non-viewable ad impressions.
    • Attribution Fraud: Falsely claiming credit for conversions.
    • Domain Spoofing: Misrepresenting the website on which an ad is displayed.
    • Mobile Ad Fraud: Fraud specific to mobile app advertising.
    • Location Fraud: Falsifying user location data.
  • Ad Fraud Prevention: Beyond detection, they aim to prevent fraud from happening in the first place by:
    • Blocking fraudulent traffic: Implementing real-time blocking mechanisms to prevent fraudulent activity from affecting ad campaigns.
    • Providing insights: Offering detailed reports and analytics to help clients understand fraud patterns and optimize their campaigns.
  • Platform Capabilities:
    • Integration: Integrates with various advertising platforms, DSPs, and ad exchanges.
    • Real-time Monitoring: Provides real-time monitoring and analysis of ad performance and fraud metrics.
    • Customizable Rules: Allows clients to define custom fraud rules and thresholds.
  • Focus: They focus on helping advertisers improve the return on investment (ROI) of their digital marketing spend by eliminating waste caused by ad fraud.

Revenue of mFilterIt

  • Private Company: mFilterIt is a privately held company, so specific revenue figures are not publicly available.
  • Growth: The company has been experiencing growth as awareness of ad fraud increases. They have secured several rounds of funding and have been expanding their operations.

Alternatives to mFilterIt

The ad fraud detection and prevention space has several competitors. Here are some prominent alternatives to mFilterIt:

  • DoubleVerify (DV): A leading player in digital media measurement and analytics. Offers solutions for ad verification, viewability, fraud protection, and brand safety.
  • Integral Ad Science (IAS): Another major player focused on ad quality measurement, fraud detection, viewability, and brand safety.
  • Pixalate: Specializes in ad fraud detection and prevention, with a focus on sophisticated invalid traffic (SIVT) detection.
  • GeoEdge: Concentrates on ad quality and ad fraud, particularly concerning content quality and malware.
  • Forensiq (Now part of Impact): Offers solutions for identifying and preventing click fraud, bot traffic, and other types of fraudulent activity.
  • White Ops (Now part of HUMAN): Known for their bot detection and human verification technology. Focuses on identifying sophisticated bot traffic.
  • Anura (formerly Adhance): Provides advanced ad fraud detection using a combination of technologies.

Pricing of mFilterIt

  • Not Public: mFilterIt does not publish pricing details publicly on their website.
  • Customized: Typically, ad fraud detection and prevention platforms like mFilterIt offer customized pricing plans that are based on factors such as:
    • Ad Spend Volume: The total amount an advertiser spends on digital ads.
    • Type of Channels: The specific digital channels being used (e.g., display, mobile, video).
    • Level of Services: The extent of monitoring, analytics, and support required.
    • Specific Features: The particular features and fraud detection capabilities needed.
  • Negotiated Contracts: Pricing is usually negotiated through contracts and depends on the specific needs and requirements of each client.

Customer Care Details

  • Support Channels: mFilterIt typically offers the following support options:
    • Email Support: Support through a dedicated email address.
    • Phone Support: Direct support through designated phone numbers.
    • Account Managers: Assign dedicated account managers to assist with onboarding, implementation, and ongoing support.
  • Onboarding & Training: They usually provide onboarding and training to help clients use their platform effectively.
  • Knowledge Base: They likely have a knowledge base or documentation available for clients to learn about their platform and its features.
  • Service Level Agreements (SLAs): They typically have SLAs that define the levels of support and service they guarantee.

Key Takeaways

  • Specialized Solution: mFilterIt focuses specifically on ad fraud, making it a dedicated solution in the space.
  • Competitive Landscape: They operate in a competitive environment with several other established players in ad verification and fraud detection.
  • Custom Pricing: Pricing is not transparent and is based on the specific needs and requirements of individual clients.
  • Comprehensive Support: They aim to provide comprehensive customer support to help clients utilize their platform effectively.

If you need to get a specific price estimate, it s best to contact mFilterIt directly through their website or by phone and provide details about your specific needs.





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honda.ae high $260-$660 -
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34 websites using Analytics and Mfilterit. Download full list of 34 customers and clients who use Mfilterit.