D&B.AI Labs

Dun & Bradstreet announced the launch of D&B.AI Labs to lead the co-development of AI solutions that apply Generative AI and Large Language Models (LLMs) against its proprietary data and analytics.

“Over the last few years, Dun & Bradstreet has gone through a dramatic transformation driving a culture of innovation and making significant investments in technology, data, and analytics, including adding 64% more analytics solutions, evolving its scores and indices to leverage AI, LLM and ML capabilities,” claimed the firm.

A team of data scientists, data engineers, and solution specialists with expertise in AI, LLM, ML, and advanced business analytics staffs D&B.AI Labs.  Lab members will partner with clients to formulate solutions, build prototypes, and deploy solutions that leverage Dun & Bradstreet’s data and analytics.

“Powered by innovation and in support of the rapid changes across the business landscape, companies of all sizes need access to an environment where they can fuse our trusted datasets, responsibly apply AI, and tap into our expertise to quickly develop prototypes and solutions to advance their businesses.  We believe there is no company better than Dun & Bradstreet to accomplish this,” said Dun & Bradstreet CEO Anthony Jabbour.  “D&B.AI Labs creates an environment for us to work side-by-side with our unparalleled client roster, including 93% of the Fortune 500, to understand their pain points and help them to swiftly design and deliver innovative solutions specific to their needs.”

Along with generative AI expertise, D&B.AI Labs offers expertise in Dun & Bradstreet’s ESG, linkage (e.g., family trees), Master Data Management, and sales and marketing solutions.  Dun & Bradstreet’s MDM solutions help connect data within organizations, cleanse and enrich records, and apply predictive analytics against customer datasets.

“In a world where LLMs are trained on mainly uncontrolled publicly available data from the web, the value of trusted datasets such as Dun & Bradstreet’s will increase significantly,” said Gary Kotovets, Chief Data & Analytics Officer at Dun & Bradstreet.  “Our products and services are underpinned by validated, historical, and proprietary data, which allows us to deliver reliable and interpretable AI-created results that drive our clients’ most critical business decisions.”

Dun & Bradstreet also announced that its Sales Intelligence solution, D&B Hoover’s, is now available on the Google Cloud Marketplace.  D&B Hoover’s via the Google Cloud Marketplace allows for a “dollar-for-dollar drawdown against Google Cloud commitments.”

D&B Hoover’s supports company and contact prospecting, news alerting, deep company research (e.g., news, family tree linkages, European company financials, public company financials, competitors, peers, and industry market research), and CRM data enrichment.  Recently added insights include intent data sets from Dun & Bradstreet, Bombora, and corporate website visitor intelligence.

“The demand for trusted B2B data intelligence is ever-increasing.  D&B Hoovers continues to be a solution that organizations rely on to help boost sales productivity and strategic targeting to drive business growth,” said Karlos Palmer, SVP of Sales & Marketing Solutions Product.  “Having D&B Hoovers available on Google Cloud Marketplace makes it easy to use incredibly valuable data to build sales pipelines, and since we’ve migrated D&B Hoovers to Google Cloud, customers have already reported significant performance improvements.”

D&B Hoovers Expands Content

Dun & Bradstreet continues to expand the content it publishes in D&B Hoovers.  Recent enhancements include building out its companies, contacts, and technographics.

D&B Hoovers profiles nearly 250 million unique, active companies and over twenty million corporate linkages, including branch-level links.  New fields include Site Sales, Global Sales, Site Employees, and Global Employees.

Contact coverage also continues to grow, hitting 290 million.  In addition, email and direct-dial fill rates have significantly improved, both growing 9X since Q1 2021.  As a result, D&B Hoovers now provides 40 million emails and 20 million direct dials. 

Build-a-List now supports a Contact Accuracy Score when prospecting for contacts, letting reps “select the email accuracy that’s right for each outreach, lending flexibility for both precision and volume.”  For example, for general campaigns, marketers would select emails with the highest levels of deliverability; still, reps may select lower-scoring contacts when reaching out to their target persona within their ICP.

Other recent enhancements include website content searching, a UI refresh with responsive design, and support for fifteen European and Asian languages.

D&B Hoover’s now provides a broader set of sizing variables for companies and locations.

D&B Hoover’s also expanded its technographics, with company coverage extended by 359% since Q1 2021.  In addition, Dun & Bradstreet grew its technology vendor coverage by 54% and its tracked technology products by 5.3 million.

Along with a deep set of companies and contact profiles, D&B Hoover’s offers public company financials, US SEC filings, UK Companies House filings and DASH reports, European registered company financials, analyst reports, industry market research and overviews, corporate family trees, competitors, company news, intent data, and event triggers.

D&B Connect for Salesforce

Dun & Bradstreet announced its spring releases and enhancements at Forrester’s B2B Data conference in Austin.  Dun & Bradstreet launched D&B Connect for Salesforce, its new data management service, and expanded D&B Rev.Up ABX functionality.

“With more accurate, actionable CRM data, businesses can make more confident decisions, identify more cross-sell and upsell opportunities, and target with greater precision,” blogged North American Sales & Marketing GM Stacy Greiner.  “That’s the foundation for strong account-based strategies and digitalization.  It’s the foundation for a stronger business, period.”

D&B Connect for Salesforce is the next generation of Salesforce hygiene products, superseding D&B Optimizer for Salesforce.  Users have broader control over matching logic.  They can employ easy matching based on Dun & Bradstreet Confidence Codes or customize the match logic by leveraging Confidence Codes alongside country/region selects and match quality. 

The operations manager can set the importance of individual match grades by field (e.g., street number, name, etc.).  Admins can also set match inclusion criteria, defining which fields should be excluded from matching (e.g., Non-Headquarter locations, Out-of-Business locations, Non-Marketable locations, or Undeliverable/Unreachable locations).

Connect for Salesforce has dramatically expanded the data sets available for enrichment, providing access to over 1,600 data elements based upon subscribed data blocks. Admins also have control over refresh frequency and rematch rules.  Data may be refreshed every 14 days with the option of rematching unmatched records.  Transactional matching is also supported, allowing real-time match and append for newly created records.

D&B Connect match logic administration

Other features include data health reports, field-level mapping, out-of-business flags, and duplicate management.  In addition, Dun & Bradstreet offers 37 million subsidiary and branch linkages, ensuring proper territory management and lead assignment.

“What is preventing our marketing campaigns and sales plays from firing on all cylinders? asked Dun & Bradstreet Greiner.  “Quite simply, bad data that is outdated, incorrect, duplicate, improperly formatted, or just outright missing.  Let’s face it — we’re all to blame.  We’re just not good about keeping our data up to date and refreshed.  We don’t even do a good job entering the right data in the first place.  This may be due in part to subjectivity, in part to laziness, and in part because there’s just not enough time in our day to be thorough enough.”

D&B Connect for Salesforce starts at $5,000 per company per year.

D&B Hoovers Internationalizes

The Siemens Company Profile as it would display in German.

D&B Hoovers, a global sales intelligence solution that has long been English-only, began a multi-phase process towards becoming a truly global, multi-lingual solution.  Most sales intelligence vendors support only a single language, but European vendors Vainu and Echobot support multiple languages for their regional coverage.  Last year, when Dun & Bradstreet bought Bisnode, a firm that serves Central Europe and the Nordics, it declared that it would be sunsetting Bisnode solutions.  Internationalizing D&B Hoover’s then became a priority.

The D&B Hoovers’ UX already supports 17 languages:

  • European: Croatian, Czech, Danish, English, Finnish, French, German, Hungarian, Norwegian, Polish, Serbian, Slovak, Slovenian, Swedish
  • Asian: Chinese (Simplified), Chinese (Traditional), Japanese

Adding international languages transforms D&B Hoovers from an Anglo-centric solution for multinationals and companies based in Anglophone countries to a localized version.

“In terms of personalization, we’re trying to switch this from being a US product that is sold globally to a fully local version of a global product,” explained International Product Development & Strategy VP Adam Leslie to GZ Consulting.  D&B Hoovers needs to be a “local product” that supports sales reps selling to local customers, regardless of language.  “Historically, it’s been a US product sold in the local market only where the local market user sells to the US and internationally.  If the local market user only sells domestically, they haven’t bought Hoovers.”

D&B Hoovers greatly expanded its industry code standards, allowing users to filter companies by global taxonomies (e.g., ISIC), regional (e.g., NAICS, NACE 2.0, ANZ SIC), or national standards:

D&B Hoover’s also supports two proprietary taxonomies: Hoover’s industry codes and eight-digit SICs.

Country-specific industry code descriptions will be displayed in either English or the local language.

D&B Hoover’s Localization Options

Along with expanded taxonomies, D&B Hoovers recently added website searching to identify companies based on their self-descriptions across one hundred languages.  Website search has gathered 247 million rows of structured data across 30 million websites and 300 million web pages.

This feature helps identify companies with emerging technologies or positioning (i.e., the evolving three-letter acronyms that firms use for classifying themselves).  The feature echoes its Conceptual Search, but instead of identifying companies based on topical references in news articles, it searches global corporate websites.

D&B Hoovers and its predecessor service, OneSource Global Business Browser (GBB), have supported English-speaking multinational teams for two decades.  Their content and functionality have always been the deepest for the US, UK, and Canada.  Yet, they also provided a robust set of international content:

  • Global Public (Quoted) Company Financials, Segment Reports, Executive Bios, and Long Business Descriptions.
  • Financial statements for 15 European countries and global publics.  The reports may be viewed in USD, EUR, GBP, and the As Reported currency, with currency conversion rates based upon the period or statement date.  Thus, revenue from a 2020 income statement (a flow statement) would be based upon the average conversion rate for the year, while assets from the balance sheet would be based upon the applicable rate for the statement date.
  • Global family trees
  • Industry Codes, including US SIC, NAICS, EU NACE, UK SIC, ANZ SIC, and UN ISIC.
  • Regional screening, including city, postal code, and sub-regions (e.g., state, province, county)
  • Regional customization for distances (KM vs. miles) and numeric formats

D&B Hoovers expanded its company coverage to 180 million active firms and 216 million active contacts as part of its internationalization.  Most of the new firms have between one and five employees.  It also increased the number of countries with sub-divisional regions (e.g., counties, provinces), having recently added sub-divisional filtering for the Nordic countries, Denmark, Hungary, etc.  Additional countries are planned.

Several enhancements came from local customer research.  In many European countries, departmental emails are employed in sales and marketing outreach.  These emails lack any personally identifiable information, so they are GDPR compliant.  Dun & Bradstreet is adding over seven million “entity-level emails” for European countries, including over three million entity-level emails for the D-A-CH region, 1½ million for the Nordics, and 2½ million for Eastern Europe.

Text searching was enhanced to recognize accents and diacritical marks (e.g., when performing location searches).  Leslie called synonymous search with or without special characters a “major ticket to the game.”  While it “sounds like a simple fix,” it was “extremely complex.”

As Dun & Bradstreet began its localization research, it realized the importance of small companies and informational depth in the context of national sales vs. international sales.

“We speak to local markets and say, ‘Well, what is it that will help you sell your products and use our products?’” explained Leslie.  Dun & Bradstreet’s research found that many customers and prospects sell locally to organizations with five or fewer employees.  “That becomes really important now that you can reach them.”

Leslie listed other findings and subsequent upgrades: “We capped the number of contacts at eleven.  That’s been changed.  We were missing the middle name.  That has been changed.”

When I was a product marketing manager at OneSource (2001 – 2010), I explained that we delivered the top N companies in each European country because “you aren’t selling to Polish abattoirs.”  That logic made sense when selling to multinationals and exporters based in English-speaking countries.  After all, they weren’t selling to Polish slaughterhouses.  But this approach fails to meet the needs of sales reps based in Poland, EU industrial manufacturers, or logistics companies. 

Localization requires local language support, content depth, national standards support (e.g., industry codes, geographic districts, GDPR), in-language news and triggers (coming in phase II), market knowledge, and in-market sales and support. Dun & Bradstreet also simplified the UI and improved its dynamic display for various screen sizes and devices.  The new UI was implemented in September, and 96% of browser users and 98% of CRM users have switched to the updated format.

D&B Hoover’s old and new company profiles.

In-product tutorials also enhance the user experience.  For example, if a user utilizes a feature inefficiently or has not used core functionality, the tutorial will provide on-demand coaching.  This feedback is also provided to account representatives to provide guidance.  The in-product tutorials were launched last summer, and Dun & Bradstreet continues to collect data for honing its training recommendations.

There is also a new onboarding virtual assistant for providing on-demand training.  Tutorial translations should be available to users in Q2.  Expanded in-product training and virtual onboarding are consistent with the emerging Work from Anywhere expectation of business professionals.

Dun & Bradstreet provided its internationalization roadmap through the end of the year.  The firm intends to extend local content, expand time-dependent sales triggers, and support multi-lingual news.  New content includes more digitally sourced data, detailed financials, and country-specific datasets such as country export data for Chinese companies, product codes, and expanded tech data for India.

Ostensibly, Phase I, which completed at the end of March, serves as a minimal viable product for localized products (or what Leslie called a “ticket to the game”), and Phase II continues internationalizing the content and expanding localized content. 

“We are working with each local market to collect these [data requirements], source the data, transfer to D&B, and load into the product,” said Leslie. Finally, D&B Hoovers will continue to expand its email and direct dial coverage.

Dun & Bradstreet Acquires NetWise Data and Eyeota (Part III)

Dun & Bradstreet announced the acquisition of a pair of digital B2B data companies to support its Audience Solutions. (Part I). Today, I’m covering the Eyeota acquisition.

Eyeota supports a global methodology for onboarding offline and online data in a privacy-compliant and globally consistent way without the use of personally identifiable information (PII).

“In today’s market, brands need the ability to bridge real-world insights into the digital space in order to communicate more effectively with their customers and prospective customers,” states the firm’s About Us.  “Yet the market has never been so difficult for brands to navigate.  The challenge is finding the best ways to capture and activate audience data and to do so in a way that they can be confident is authentic, trustworthy and reliable.”

Eyeota builds audiences “based on what people are buying, watching, listening, reading, and interacting with in both the digital and offline world” that takes into account consumer demographics, behavior, and psychographics.”

Eyeota supports a broad set of global ad buying platforms, trading desks, DMPs, DSPs, and ad networks, including Adobe, Google Marketing Platform, Lotame, MediaMath, Neustar, Oracle Marketing Cloud, and Salesforce DMP.  Eyeota also supports social targeting on Facebook, Instagram, and Twitter.

“Eyeota’s expansive global data onboarding and activation capabilities are underpinned by our commitment to delivering audience solutions at scale, and we are proud of the work we have accomplished to develop one of the most powerful, agile, and interoperable frameworks for delivering addressable data in a privacy-conscious era,” said Kristina Prokop, Chief Executive Officer of Eyeota. “By combining forces with Dun & Bradstreet and NetWise, we will be able to offer a more holistic B2B audience platform to our clients, leveraging a powerful combination of data, technology, and insights that help clients better target and engage audiences across global markets and digital channels.”

Eyeota’s products extend the Audience Solutions business into campaign execution and “being online and participating more fully in the B2B MarTech and AdTech supply chain.”

Dun & Bradstreet is acquiring 100% of the outstanding ownership interest in Eyeota for an estimated purchase price of $165 million upon closing, subject to net working capital adjustment. The deal is expected to close by November 5.

Eyeota has 84 employees and grew its headcount 12% over the past year. Founded in 2010, it maintains four offices in the U.S. and outposts in Sydney, Tokyo, Singapore, Pune, Berlin, and London.

Yesterday’s blog about the NetWise acquisition.

Dun & Bradstreet Acquires NetWise Data and Eyeota (Part II)

Dun & Bradstreet announced the acquisition of a pair of digital B2B data companies to support its Audience Solutions. (Part I)

NetWise offers Dun & Bradstreet a B2B-to-consumer ID Graph that helps Audience Solutions compete in this broader digital context.  The Graph includes 30 million U.S. businesses, 100 million business professionals, 250 million opted-in consumer profiles, and 70 million consumer-to-business linkages.  At the audience level, NetWise supports over 500 standard B2B segments and 150 consumer segments.

NetWise extends D&B Audience Solutions’ identity graph “across every major online channel, individual device, or a marketing platform,” said Dun & Bradstreet CEO Anthony Jabbour.  “Just as our clients rely on the D-U-N-S Number for precision in their offline data, we’re looking to provide the same level of confidence and consistency online as well.”

NetWise adds a B2B-to-Consumer Graph for cross-channel, cross-device digital marketing.

NetWise excels at joining the offline and online worlds together to connect business personas to their online personas,” said NetWise CEO Dwight Gorall.  “We look forward to joining the Dun & Bradstreet family with Eyeota. Once together, we can work to create a complete solution for clients, enabling a full spectrum of capabilities – from audience creation to activation – at scale across many demand-side platforms, customer relationship management systems, connected T.V. or social media platforms. We are committed to helping global enterprises future proof their marketing strategies so they can thrive in a multichannel world.”

NetWise notes that it is the “original producer” of its B2B data products built from first-party data sources, including state and federal business filings, company websites, job descriptions, job postings, social websites, and business directories.  Moreover, the firm has unrestricted rights to use and sell its data.  Thus, it offers supplementary intelligence for enriching Dun & Bradstreet’s company and contact files.

According to its FAQ, “NetWise generates comprehensive and deterministic B2B segments using current job titles, company firmographics, and other self-declared business-related attributes like skills, education, certifications, etc.  This is accomplished by analyzing publicly available information and data created directly by persons in our dataset.  These data features are often multi-source validated across our compiled data.  Segments are deterministic, based on foundational information and never modeled unless explicitly indicated.”

NetWise is fully compliant with CCPA.  In addition, its Data Protection Officer is a California-licensed attorney.

Outside of the US, NetWise maintains 100 million global profiles that can be folded into WorldBase and 300 million non-EU global profiles.  NetWise does not build profiles on GDPR (EU) subjects.

Dun & Bradstreet is acquiring 100% of the outstanding ownership interest in NetWise Data for an estimated purchase price of $69 million upon closing, subject to net working capital adjustment.  The deal is expected to close during the fourth quarter.

NetWise is based in Boca Raton, Florida and has 47 headcount (as per LinkedIn).


Continue to Part III which covers Eyeota.

Dun & Bradstreet Acquires NetWise Data and Eyeota

As part of its Q3 2021 earnings discussion, Dun & Bradstreet announced that it acquired two digital marketing companies: NetWise and Eyeota.  The acquisitions “extend the company’s position in the B2B online marketing value chain and will build upon its rapidly growing Audience Solutions business by adding global scale and the online data to power omnichannel marketing around the world.”

“Dun & Bradstreet’s acquisitions of Eyeota and NetWise will cap-off several years of investment in the Sales and Marketing space, including the acquisition of our Customer Data Platform, Lattice Engines, which is at the core of our D&B Rev.Up platform, and the acquisition of Orb Intelligence to link digital and physical businesses in our Data Cloud,” said CMO Stacy Greiner.  “We are executing on our vision to help revenue-generating teams get out of the business of wrangling data and technology and back to engaging with their customers and prospects to drive growth for their companies.”

Dun & Bradstreet noted that marketers have a broad set of digital channels but are unsure whether their advertising dollars reach their targeted audiences online across multiple digital touchpoints.  The three companies “will be able to provide data and technology that empowers businesses to confidently identify, reach, and engage high propensity B2B audiences for multichannel marketing campaigns.”

“Our online Audience Solutions business continues to see robust growth rates, and we see a significant untapped opportunity in the online business-to-business marketing landscape. This led us to strengthen our position through the signing of definitive agreements to acquire Eyeota and NetWise,” said Jabbour.  “These two complementary companies will extend our position further in the B2B online marketing value chain and build upon a business that has grown over 40% year to date.

The acquisitions extend Dun & Bradstreet audience channels from B2B to B2B2C, helping businesses target business decision-makers at home and improving match rates.  The deals also provide Dun & Bradstreet with an international ecosystem of digital activation platforms.  Other vendors with B2B2C datasets include AnalyticsIQ BusinessCore and Data Axle B2CLink (FKA Execureach).

“This will enable clients to build on the investments they have made into Data Management mastered on the D-U-N-S Number, and more readily activate that data in social, search and display advertising campaigns,” stated the firm.

“We are solving for the current audience shrinkage these marketers face today with the low match rates that plague this industry.  This will enable clients to build upon the investments they’ve made into data management mastered on the D-U-N-S Number and more readily activate that data in social, search and display advertising campaigns.  Said simply, Dun & Bradstreet has the offline B2B targeting data, NetWise enables marketers to translate that data into online audiences, and Eyeota syndicates it across the digital ecosystem.”

Dun & Bradstreet CEO Anthony Jabbour

As Work from Home and Work from Anywhere are likely to remain the dominant approaches to professional work in the coming years, marketers need to engage business professionals across multiple devices, channels, and locations with a consistent message.  The acquisitions assist with both multichannel audience targeting and activation, tying together offline and digital.


Continue to Part II, which discusses Netwise, or Part III which discusses Eyeota.

Bombora in D&B Hoovers

Search Results include Bombora Intent Badges.

D&B Hoover’s customers can now view and build lists of in-market accounts using the Bombora intent file.  Users can set up SmartLists (dynamic lists) with a combination of account and intent data to identify in-market ICP accounts.  The list is then displayed on the sales rep’s desktop and daily email digest.

Target lists can be assembled from over 175 selects that span company, contact, intent, and technographics.  Bombora intent data is gathered from over 4,000 B2B media website and span 7,000 pre-defined topics.  70% of the websites are exclusive to Bombora.

Dun & Bradstreet provides a sophisticated approach to selecting intent topics that tie to business strategy.  Instead of simply choosing the obvious topics, the firms recommend that customers employ topic clusters, “a group of like-minded Intent topics [that are] representative of all facets of a product or service.”  Clusters would include

  • Brand/Products (core): Brands, products, key functions
  • Competitors/Partners: Brands and products of competitors and partners
  • Industry/Vertical: Strongly associated categories, use cases, and product/service capabilities
  • Pain Points/Challenges: Pain points, issues, expected outcomes
Multiple intent topics may be monitored in a SmartList.

Dun & Bradstreet has removed intent scores, which are often confusing.  By creating clusters, topics are either surging or not, with no interpretation required.  Instead, the number of clustered topics serves as the indicator of surge strength.

The firms recommend that content be adjusted based on the number of intent topics identified for a prospect.  Sales and Marketing should “serve higher-level or awareness-based content to those showing interest in one or two topics, and lower-funnel content to those showing interest on many topics.”  Furthermore, prospects with many surging topics are probably closer to making a purchase.

D&B Hoovers also added 4 million direct dial numbers to their database, bringing the product total to 6.2 million.  Direct dials contain a set of standard and mobile numbers, so users should hover over the direct dial number to determine the phone type.

“As more business contacts work from home, direct dials are essential to engage customers in real-time, from anywhere,” wrote Product Management VP Phil McWade.  “Access these numbers in the lists you’ve already created, when viewing a Contact Profile, or within Contacts Search & Build a List results.”

D&B Hoover’s coverage has grown to 209 million global companies and 235 million contacts

D&B Rev.Up ABX Integrated with Folloze

Continuing my discussion of the launch of D&B Rev.Up ABX.


Dun & Bradstreet also announced that the Folloze B2B personalized marketing platform is fully integrated into D&B Rev.Up ABX.  Folloze is available in both standard and advanced editions.

The D&B Data Cloud personalizes Folloze for landing pages from both inbound and outbound prospects. D&B customer profile data supports campaigns executed on display, email, or via sales outreach.

With Folloze, Rev.Up ABX customers can create and launch “data-powered, personalized omnichannel experiences across the entire buyer journey.”  Folloze captures first and third-party account and individual behavior analytics which are fed back to the CDP.  Folloze can also orchestrate targeted campaign activities across sales, account development, and channels.

The Folloze Buyer Experience Platform

“B2B buying and selling has changed forever,” said Eric Bauer, Chief Growth Officer at Folloze.  “Today’s digital-first buyers want to be treated as partners – not campaign targets.  As such, creating the engaging account-based experiences across the entire buyer journey represents the new table stakes for every marketing team.  Our alliance with Dun & Bradstreet makes it easy for marketing and revenue teams to retool and quickly deliver dynamic contextual experiences across a wide range of digital touchpoints.”

Companies that deployed Rev.Up ABX include Thomson-Reuters, Schneider, Citrix, Rackspace Technology, and Sierra Wireless.

D&B Rev.Up ABX is GA across all five modules (the four channels plus the Advanced edition that combines the four).  The Folloze integration will GA in June.

D&B Rev.Up ABX pricing starts at $30,000. This fee includes the ability to acquire data from the Data Cloud and the embedded CDP (D&B Lattice) along with a single channel to activate a campaign such as email, sales, or web. Other Standard features include visitor intelligence, lead form enrichment, a seat of D&B Hoover’s, Salesforce and MAP import connectors, Salesforce Buyer Insights (10 seats), the Outreach connector (10 seats), analytics, and programmatic audience building.

The Advanced edition applies to clients looking to license at least three modules.  It supports broad data ingestion, social activation, paid search, and real-time visitor intelligence feeds to content management systems, along with all four channels.

D&B Rev.Up ABX 90 Second Demo (YouTube)

D&B Rev.Up ABX Launched (Part II)

D&B Rev.Up ABX supports four channels supported by Dun & Bradstreet’s Lattice CDP and Data Cloud.  Users may license one or multiple packages or an advanced package that supports all of the channels.

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.

The D&B Lattice Model Builder score and rates contacts by estimated lift

The suite is GDPR and CCPA compliant with opt-in/opt-out flags shared across activation channels.

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.

Rev.Up ABX supports lookalike modeling, while the other products support three lead scoring and three account scoring models.  Lookalike contacts may be sent to D&B Lattice, D&B Hoovers, or MAPs.

The D&B Rev.Up ABX Dashboard

Continue to Part III for a discussion of the Folloze partnership and product pricing.