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10 Big Bank Marketing Lessons from the ABA Bank Marketing Conference

South State Correspondent

Bank Marketing Lesson 9: Goal Setting – A Common Theme. Many sessions discussed the importance of setting clear goals for any marketing effort, such as the talk by Jessica Reese (graphical notes below), the Social Media Manager for Arvest Bank (AR, $27B). The audience learned from these banks’ mistakes and successes.

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Visual Storytelling: Create Meaningful Gifs

Perficient

For our second installment of the Visual Storytelling series, let’s examine how creating and using gifs can enhance your message and impact your marketing strategy. Gifs grab the viewer’s attention – if a person is scrolling through social media posts and sees movement or animation, they are more likely to stop and check it out.

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Finovate Fall 2016 Live Blog – Day 2

William Mills

Auto-financing is ripe for innovation. Social media is a special challenge since social media was not created with compliance in mind. I can see how some other social media channels may be more prevalent and important in the U.S. 10:50 am Moonraft Innovation Labs – [link] – @moonraft.

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Finovate Fall 2016 Live Blog – Day 1

William Mills

Can record the call for regulatory purposes or training purposes. debut with its innovative e-form management system, the eximee™ Platform, eximee.com , at the September FinovateFall 2016 conference in New York. USAA is a customer and they are known as an innovator. Can share screen. Now showing mobile app on an Android Device.

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The Future Of Fashion: From Design To Merchandising, How Tech Is Reshaping The Industry

CB Insights

Fashion has always been a hotbed for innovation — from the invention of the sewing machine to the rise of e-commerce. Amazon is innovating in this area as well. Social media accelerates that cycle. Like tech, fashion is forward-looking and cyclical. It’s also a huge industry. Credit: Pinterest.

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What Is Psychographics? Understanding The ‘Dark Arts’ Of Marketing That Brought Down Cambridge Analytica

CB Insights

Social media (i.e. Using this dataset to train its AI engine, Watson, IBM has been able to program an ever more refined set of “algorithms” to sort and retrieve psychographic information from emails, blog posts, text messages, search histories, online purchases, online reviews and comments, and, of course, social likes and shares.