Continuation from yesterday’s blog.
With D&B Lattice at its core, Rev.Up ABX supports AI-driven models for defining ideal buyers and their individual and account-level buying journeys. Marketers define the goals, segmentation, criteria, and historical period for the model (e.g., four quarters of historical records), and Lattice builds and scores across the segment. These models assist with building targeted audiences of buyers ready to engage across various stages of their journey.
Once a model is built, marketers can create and activate campaigns across channels. For example, an awareness campaign can be activated across paid social, Google ads, and Google search for either accounts or contacts. Lattice manages scheduled audience updates so that marketers do not need to manually update the activated segment.
Likewise, lower scoring leads triggered by website visits can be nurtured in Marketo, while higher scoring visitors are routed to Outreach as sequences or tasks.
Company-level analytics show the engagement journey across stages, contacts engaged, engagement activity, pages visited, firmographics, intent signals, and SDR alerts.
D&B Rev.Up is supported by the D&B Data Cloud, which includes
- 420 million global companies and 37 million corporate linkages
- 220 million global contacts, of which 54 million are C-level.
- Digital identities spanning over 4 billion IP addresses, 22 million URLs, and over 500M devices ids.
- 17 million technology products used by 13 million companies.
- 3,500 intent topics spanning 14 billion digital signals.
- Third-party alternative data sets with pre-assigned D-U-N-S numbers to ensure proper matching.
Firmographics and Technographics are available for all offerings, with intent data available for all but the Web edition in the default package (it is available in the advanced).
Rev.Up ABX is data agnostic, allowing revenue operations teams to deploy third-party licensed data sets such as G2.
Continue to Part III for a discussion of the Folloze partnership and product pricing.