CIAM and the Future of Marketing
- TYPE: Track START DATE: Wednesday, September 13, 2017 START TIME: 14:00
Date: Wednesday, September 13, 2017 Time: 14:00-15:00
Consumer Identity Trends for Building Customer Connections
John Anderson, Facebook
With over 2 billion people, Facebook manages the online identity of people from all over world. This talk will cover the trends that Facebook has seen in people's login preferences and the surfaces they login on. In this session, you will learn about the products Facebook offers for account creation across many surfaces, analytics, and account recovery. Learn how you can build meaningful customer connections with Facebook by providing an experience that is consistent, safe, and easy to use...
CRM, Marketing Automation, User Experience, and Understanding Consumer Identity
Lars Helgeson, GreenRope
Consumer identity cannot live in a vacuum. It must be apply to sales, marketing, customer service, and as many other aspects of the business as possible. This presentation will cover how the pieces fit together and how you can leverage the data you gather into building effective interactions with your leads and clients. How to gather and store consumer data How to leverage data in your CRM and sales process Targeting market segments by effectively using consumer data Building...
Date: Wednesday, September 13, 2017 Time: 15:00-16:00
The MarTech Panel
Jason Rose, Gigya • Nicole Drapeau Gillen, ArisGlobal • Lars Helgeson, GreenRope • Kim Albee, Genoo • Grad Conn, Microsoft
Martech panel!Closing the Marketing and IT divide… “Collaboration offers huge pay off throughout the enterprise” In this panel discussion, we can explore the blending of marketing and technology. Anyone concerned with digital marketing is involved since digital by its very nature is technologically-based. We will ask what can we do to harness technology to achieve marketing goals and objectives
Behavioral Economics and The Future of Marketing
Christian Goy, Behavioral Science Lab
Humans are complex and simply reflecting them through data, even big data, might seem limiting. For years the marketing and research world tried to convince us that more data would be the solution to more predictability — better models could tell us when, who, where and what. And though we have come closer, we still don’t know why people do the things they do or will do in the future.