Executive Development Programme in Mobile Ad Targeting and Analytics
-- ViewingNowThe Executive Development Programme in Mobile Ad Targeting and Analytics is a certificate course that holds immense importance in today's digital age. With the ever-increasing usage of smartphones, mobile advertising has become a critical aspect of marketing strategies for businesses worldwide.
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GBP £ 140
GBP £ 202
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โข Mobile Ad Targeting Fundamentals: Understanding the basics of mobile ad targeting, including the different types of targeting methods and strategies.
โข Mobile Ad Formats: Exploring various mobile ad formats, such as banner ads, interstitial ads, native ads, and video ads, and learning how to optimize them for maximum impact.
โข Data Analytics for Mobile Advertising: Analyzing data to measure the effectiveness of mobile ad campaigns, including key metrics like click-through rates (CTR), conversion rates, and return on investment (ROI).
โข Audience Segmentation: Dividing mobile users into specific segments based on demographics, interests, behaviors, and other factors to deliver more personalized and targeted ads.
โข Location-Based Ad Targeting: Leveraging location data to deliver highly relevant and timely mobile ads, including geofencing, beacon technology, and other location-based strategies.
โข Mobile Ad Fraud Prevention: Identifying and preventing mobile ad fraud, such as click spam, click injection, and other fraudulent activities that can negatively impact ad campaigns.
โข Cross-Device Ad Targeting: Targeting users across multiple devices, including smartphones, tablets, and desktops, to deliver a seamless and consistent ad experience.
โข Privacy and Compliance in Mobile Ad Targeting: Understanding the legal and ethical considerations around mobile ad targeting, including data privacy laws, consumer protection regulations, and industry best practices.
โข Emerging Trends in Mobile Ad Targeting: Exploring the latest trends and innovations in mobile ad targeting, such as programmatic advertising, artificial intelligence, and machine learning, to stay ahead of the competition.
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