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Webinar: Predictive Analytics in Social Media and Online Display Advertising
Webinar: Predictive Analytics in Social Media and Online Display Advertising
Deep Tech

Webinar: Predictive Analytics in Social Media and Online Display Advertising

AIM Media HouseContributor
Published Updated

Key takeaways

  • Online advertising has experienced significant growth, driven by social media platforms like Facebook and Twitter.
  • Marketers require advanced analytical tools to effectively manage the increasing data volumes and complexity in digital media.
  • Traditional analytics often fall short in addressing the challenges posed by unstructured data in online advertising.
  • The webinar will cover optimisation strategies for ad campaigns, including bid pricing and improving click-through rates.
  • Dr. Mahesh Kumar will present real-life case studies showcasing the application of data analytics in social media advertising.
5 min
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TA Main Logo UnitThu, Jan 23, 2014 10:00 AM - 11:00 AM CST The last decade has seen unprecedented growth in the space of online advertising and digital media marketing. The new wave of social media (Facebook, Twitter etc.) is making it easier than ever for the marketers to reach right customers at the right time with the right products and offers. However, the marketers, online advertising platforms, and other stakeholders need to be equipped with suitable analytical tools and methodologies to maximize the potential of online and digital media. The traditional analytical tools are often insufficient due to the rapidly growing volumes of data as well as increasing importance of dealing with textual and unstructured data in this space. In this talk you will learn how to: • Optimize campaign for an impression given user and webpage characteristics • Calculate optimal bid price for a campaign • Increase CTR (Click-through rate) by more than 50% • Decrease CPC (Cost per click) by 25% Speaker: Dr. Mahesh Kumar, CEO, Tiger Analytics (www.linkedin.com/in/mahkumar) will be presenting two real life case studies on applying data analytics in social media and online display advertising in this talk. His brief profile: • 13+ years of Data Analytics experience • Has conducted extensive research on Data Mining and Statistical Modeling to solve problems related to forecasting, pricing, promotions etc. • Extensive consulting experience with companies like McKinsey & Company, SAS, JC Penney, Levis, TTX etc. • Was previously on the faculty of Smith School of Business and Rutgers Business School Join us for this webinar to see how we help our clients stay competitive in the marketplace. You can find more details here: http://bit.ly/Jw9TRz
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