Masterclass Certificate in Ad Fraud Measurement & Attribution

Name: Masterclass Certificate in Ad Fraud Measurement & Attribution
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The Masterclass Certificate in Ad Fraud Measurement & Attribution is a comprehensive course that equips learners with essential skills to combat ad fraud and optimize marketing attribution. This program is critical in today's digital marketing landscape, where ad fraud costs businesses billions annually.

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AboutThisCourse

By understanding ad fraud measurement and attribution, learners can ensure their marketing efforts generate genuine engagement and ROI. This course covers various topics, including ad fraud detection, types of ad fraud, and attribution models. Upon completion, learners will be able to identify fraudulent activities, select appropriate attribution models, and optimize marketing strategies. This knowledge is in high demand across industries, making this course an excellent choice for marketing professionals seeking career advancement. In short, the Masterclass Certificate in Ad Fraud Measurement & Attribution is a valuable investment for marketing professionals looking to enhance their skills, combat ad fraud, and optimize marketing ROI. By mastering these concepts, learners can position themselves as experts in their field and drive success for their organizations.

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CourseDetails

• Ad Fraud Detection
• Understanding Ad Fraud Measurement
• Digital Ad Attribution Models
• Fraudulent Activities in Ad Attribution
• Measuring Ad Fraud in Attribution
• Machine Learning in Ad Fraud Detection
• Mobile Ad Fraud Measurement
• Ad Fraud Prevention Strategies
• Analyzing Ad Fraud Data
• Best Practices in Ad Fraud Measurement & Attribution

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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MASTERCLASS CERTIFICATE IN AD FRAUD MEASUREMENT & ATTRIBUTION

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London School of International Business (LSIB)

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05 May 2025

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