Omnichannel Personalization at Scale: How leading brands drive sales across channels

Date: Mar 27, 2018 1:00 EST (10:00PST)

Speakers:
Barry Levine, Senior Marketing Technology Writer, Third Door Media
Arpita Neelmegh, Product Marketing Manager, Iterable

Iterable

Americans now own an average of four devices, spending nearly 11 hours a day consuming media across platforms (Nielsen). When they read your email or visit your website, they expect personalized messaging – no matter which device they’re on.

How do you reach these moving targets with a personalized message that resonates with their needs in the moment? What’s the secret to cultivating customer relationships when you have to do it across so many channels?

Join our experts as we discuss the best practices and actionable tactics that many leading brands are using to achieve omnichannel marketing success.

Attend this webinar and learn:

  • Actionable tips to create personalized content
  • Segmentation techniques to boost personalization effectiveness
  • Best practices for welcome and re-engagement campaigns
  • How to avoid the common roadblocks to a seamless brand experience

Speakers:

Barry Levine, Senior Marketing Technology Writer, Third Door Media
Barry writes about marketing technology for Marketing Land, MarTech Today and Search Engine Land. He previously covered this space as a Senior Writer for VentureBeat, and has written about these and other tech subjects for such publications as CMSWire and NewsFactor.

Arpita Neelmegh, Product Marketing Manager, Iterable
Arpita is currently the Product Marketing Manager at Iterable, helping B2C marketers achieve growth marketing excellence. She has a diverse background in messaging, go-to-market strategy, competitive differentiation, product launches and customer success.

Sponsored by Iterable
Iterable empowers growth marketers to create world-class user engagement campaigns throughout the full lifecycle, and across all channels. Segment users, build workflows, automate touchpoints, and test strategies at scale without engineering support.

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