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More leads with less effort ๐Ÿ˜Ž - Custom Bot A/B testing, goals, retriggering rules, + more!

  • September 2, 2020
  • 2 replies
  • 26 views

More leads with less effort ๐Ÿ˜Ž - Custom Bot A/B testing, goals, retriggering rules, + more!

To help you drive even more leads and engagement with your Custom Bots, weโ€™ve launched several new features ๐ŸŽ‰

 

1. A/B test your bots and set goals to understand effectiveness

Itโ€™s now easier than ever to understand what bot content performs well with A/B testing and goal setting. A/B test what message content is most effective, and set goals to see which versions perform best. Then make optimizations based on this data to drive more leads for your business ๐Ÿ’ฐ

A:B test

 

2. Send your Custom Bots more than once

Generate more leads by reengaging returning website visitors with the same bot. You can now use the same Custom Bot to engage your website visitors, regardless of if theyโ€™ve seen the bot before. Customize when you want your bot to be seen until: once per user, until itโ€™s opened/dismissed, or until itโ€™s engaged with. Note: to use this specific feature in your mobile app, you must have the latest version of Intercom's mobile SDKs .

 

3. Manage all your outbound messages in one place๐Ÿ“

You now have the ability to manage your Custom Bots in the Outbound section of Intercom where all of your other outbound messages live (e.g. email, chats, posts, mobile push, etc.). Your bots will also continue to live within Operator, and weโ€™ve merged bots for visitors and for users to make it easier for you to keep track of all your Custom Bots.

Screen Shot 2020-08-26 at 3.28.48 PM

To get started, navigate to your Custom Bots in Intercom. To learn more about Custom Bots and how they can help you drive engagement on your website, check out this article.

2 replies

  • New Participant
  • 1 reply
  • July 15, 2021

How does Intercom determine who gets the A vs B message?


Eric Fitz
Employee
Forum|alt.badge.img+5
  • Employee
  • 1630 replies
  • July 16, 2021

Hey @amindaโ€‹, A/B testing works by using hashes, and depending on whether that hash ends with an odd or even number will determine which version they will get. The hashes are calculated on our backend based on the user's user_id or email address.


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