What's New at Hightouch (September 2022)
Catch up on all the latest Hightouch features, platform enhancements, and integrations released in September 2022.
September 30, 2022
September is over. It was a busy month for us at Hightouch. We released some fantastic new features and started the discussion about why you shouldn’t let your friends buy a CDP.
Bing Ads Audiences: We’ve made a minor improvement to our Bing Ads destination so you can automatically create an audience when you run an initial sync.
Marketo Campaigns: Trigger Marketo Campaigns directly in Hightouch and send emails to your leads.
Salesforce Marketing Cloud Data Extensions: You can now configure whether your SMFC data extensions are sendable or testable.
Custom Destination Toolkit: You can now use a suite of developer-focused destinations that make it effortless to connect Hightouch to your internal tools and third-party APIs. Read our latest blog post for more information.
Sync Sequences: You can schedule your syncs to run sequentially in a specific linear order. Your syncs can be triggered to run upon the successful completion of another sync or dbt cloud job.
Audience Splits: Seamlessly create randomized audiences and distribute customer attributes evenly for cross-channel multivariate testing. Read our latest blog post for more info.
Audience Overlaps: Compare your Hightouch audiences against your existing audiences and identify potential overlap to limit (or maximize) collisions across multiple audience segments. Read our latest blog post for more info.
Source Level Sync Logs: You can now apply sync logs at the source level and Hightouch will apply the setting to all syncs in a source.
In Case You Missed It…
Here are some great reads from September.
- Friends Don’t Let Friends Buy a CDP: Tejas, one of the founders of Hightouch, tells his story about why you shouldn’t be using a CDP anymore.
- Dear CRM, I’ve Fallen in Love With the Data Warehouse: Is your CRM your source of truth? If so, it’s time to change.
- Why Do We Do Data?: Mary asks Twitter if data just stops at analysis and ML/AI. This sparked an interesting discussion which Mary condensed into this article.