For the First Time, Advertising To Surpass $500 Billion In 2016
IHS analyst Eleni Marouli predicts 2016 ad spending in this Media Post article by Laurie Sullivan. “Advertising to Surpass $500 Billion in 2016” includes the prediction that advertising will rise 5.7% and video will become the new mobile. Initiatives around measurement in the advertising industry are also discussed by Sullivan.
IoT Will Become Omnipresent in Our Lives
Chuck Martin’s 2016 IoT predictions for Media Post include an extensive list from a variety of cited sources. Beacons, wearables, encryption technology, smart machines, and more are presented in, “2016 IoT Predictions: Big Data, Beacons, Wearables, Security.”
Fewer but More Creative Ads in 2016
Matt Sweeney, CEO of Xaxis North America, presents six of the top trends that will impact advertising in the year ahead. In this article for Campaign Live, “Better Creative, Fewer Ads: 6 Trends That Will Define 2016,” Sweeney predicts that ads will be more relevant and less intrusive.
Native Advertising: FTC Guidance and IAB Concerns
The Internet Advertising Bureau (IAB) plans to seek additional clarification from the Federal Trade Commission (FTC) concerning the Commission’s recent Guidance on Native Advertising. Brad Weltman, Vice President, Public Policy at the IAB, discusses his concerns in this IAB press release, “IAB Concerned About FTC Guidance on Native Advertising.” While both organizations agree on the importance of clear disclosure to consumers, they disagree about other points in the Guidance.
Multichannel Online Behavior Can Predict Online Consumer Purchasing
This December 2015 article from the Journal of Advertising Research examines how consumer behavior across multiple online advertising channels can be used to predict conversions. The authors, Sebastian Klapdor, McKinsey & Company, Munich; Eva Anderl, FELD M, Munich; Jan H. Schumann, Universitat Passau, Germany, and Florian Von Wangenheim, ETH, Zurich, Switzerland, suggest strategies for advertisers to target individual consumers based on this research in this article, “How to Use Multichannel Behavior To Predict Online Conversions-Behavior Patterns Across Online Channels Inform Strategies For Turning Users Into Paying Customers.”