Webinar On Demand

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Join this webinar to learn:
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Acquisition
Extend referrals into the first few seconds & clicks on the site
  • How to gather data on anonymous traffic
  • How to run data against a predictive model
  • How to set up predictive campaign - machine learning
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Conversion
Campaign inside the funnel to keep buyers on the path to conversion/revenue
  • Using analytics to define events/funnels & identify drop offs
  • Micro Segmentation: how to campaign against drop offs
  • How to use behavioral rules or predictive machine learning to avoid spamming the same thing to every visitor
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Growth
Use historic behavior & continuous/progressive profiling to increase AOV & LTV
  • How to define & include the full visitor experience to build the profile
  • Know when to run a useful, relevant offer or just nudge with a suggestion
  • Analyze the right things to tell you how successful your campaigns are
Rethink Optimization to Include Personalization

Before you spend 30 minutes watching this on demand, I wanted to give you a quick overview of this training session to prepare you for what’s going to happen…

This webinar is different because it’s literally designed to be a miniature, condensed class on going beyond UX testing to predictive personalization (1:1).

My goal is for you to leave this training with a complete understanding of how professional marketers have been able to tailor web experiences to audiences that consist of hundreds-of-thousands of people in real time - so within the duration of web session to bag conversions

Our subject website is a home improvement company that requires detailed information from homeowners in order to run estimates & broker relationships among contractors, loan providers & homeowners

After looking at a well optimized Web page, we show why optimization can be more powerful with a personalized journey through a site.

We teach marketers look at in-session acquisition, conversion & growth with an increased expectation for performance at each of these phases of the buyer's journey.