September 2020: Release Note

Our September release is now live with features that have improved our audience match rates in LinkedIn, sped up the time to value for SDRs with our Outreach Connector, and added a new D&B Intent attribute for account prioritization. If you see something that you’d like to test or want more information on, let us know!

Enriched Matching for LinkedIn and Audience Size Estimates for Campaigns

Contact match enrichment is now available for always-on campaigns in LinkedIn. Enhanced matching has been proven to boost match rates in LinkedIn by 4-10x by incorporating the 2 letter country code in its logic to boost your audience size. For more information on enriched matching, refer to the post in the support portal. Interested in getting started with enriched matching? Let us know!

The Campaign Dashboard has improved transparency and now displays the number users that were matched for each of your activation channels. This gives you breakdown of how many users you are reaching within each channel, which can be leveraged to optimize your activation strategy.

Updated Mapping Criteria for Faster Campaign Activation in Outreach

We have improved the time to value with the Outreach Connector and no longer require mapping to your Outreach Account IDs or SDR Emails. This allows you to activate your campaigns as soon as they’re ready for your SDRs and manually assign prospects at a later time.

For more information on launching campaigns to Outreach, refer to the support portal. Looking to get setup with the Outreach Connector and think you’d benefit from this feature? Let us know!

 Prioritize Accounts by Intent Buying Stage

D&B Intent data identifies the accounts that are engaging with offsite content related to the key phrases from your ad word campaigns. Many of you have started unlocking the value that this brings to your account prioritization strategy and we are pleased to announce that we have added a new attribute, Buying Stage, to the D&B Intent segmentation cards.

Buying Stage quantifies the relevancy of the content that an account engaged with as it relates to the buying journey. Accounts that engage with content that are predominantly associated with low funnel activities will be classified as “Buying”, while accounts that engage with content predominantly associated with mid funnel activities will be classified as “Researching”.

Note that the Buying Stage attribute is only appended to the accounts from the most recent week of intent data. The Buying Stage attribute is refreshed each week as accounts may shift in and out of the Researching or Buying stage week over week. For more information on how to leverage D&B Buyer Intent, refer to the Intent Audience post in the support portal. To get setup with the Buying Stage attribute, let us know!

Between Operator for Account Segmentation

The Between operator has been added to the query builder to give you more control and flexibility by setting upper and lower limits for your segmentation criteria.

The Between operator can be used with four boundary choices:

1. Between (value1, value2) to exclude both edge values
2. Between [value1, value2) to include the lower edge value and exclude the upper edge value
3. Between (value1, value2] to exclude the lower edge value and include the upper edge value
4. Between [value1, value2] to include both edge values

For best practices and more information on building queries in D&B Lattice, please see the post on the support portal.

Changes to Job Queues for Scalability Improvements

Limitations on data processing and analysis jobs have been added to prevent backlogs in your job queue, which can result in reduced performance. Each user can now set up 1 automatically scheduled job and 1 manually triggered job per day. For additional details on managing data processing and analysis jobs in D&B Lattice, refer to the post on the support portal.

Looking for our last release note? You can find it here.