Weekly Product Release Notes - October 1, 2020

GuinevereMGuinevereM Seattle, WA, USACommunity Administrator Moderator

Weekly Product Release Notes - October 1, 2020

Entries that are bolded indicate recent product updates.

  • If you have any questions about the product updates featured in this list, our support team is happy to help you with your request. 
  • If you have questions about what’s on the product roadmap, please see our Product Updates page. If you’d like to contribute to the product roadmap, please visit the Product Ideas category.

Website / App Feedback

  1. Creating a Website / Feedback Project: The project creation flow has become more guided, enabling newbies and super-users alike to get the most out of their DX programs. This user interface update is being released in phases, and may not be available in your account yet.
  2. A/B Testing in Website Feedback: A new support page explaining how to test the performance of 2 or more creatives against each other, from building the intercepts to reporting on data.

EX

  1. Bubble Chart Widget: Added ability to change the displayed metric on the widget between favorability and average. 
  2. Participant Tools: New option in participant tools: Update Data & Analysis with Current Participant Metadata. With this release comes the ability to directly edit metadata field values in D&A for Lifecycle projects only. 

CX

  1. B2B Command Center: Added ability to customize account cards in the strategic accounts widget. 

XM Directory

  1. SMS Distributions in XM Directory: You can now distribute SMS distributions in XM Directory.
  2. Distribution Automations: Added functionality for percentage based contact sampling. 
  3. Creating a Mailing List Sample: Added functionality for percentage based contact sampling. 

PX

  1. Simulating Packages (PX): New reports for conjoint pricing studies. New reports are: demand estimation, profit projection, and revenue projection. 
  2. Configuring Conjoint Questions (PX): New option in conditional pricing to “vary prices to get feedback on price sensitivity” for running pricing studies.


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