What is Fit Data?

A Subset of the D&B Hoovers location selects with regional filters for the US and UK.
A subset of the D&B Hoovers location selects with regional filters for the US and UK.

Last month, I discussed intent data, one of a trio of datasets that assist with lead scoring.  This month I’m touching upon Fit data and next month I’ll be discussing Opportunity data.

Fitness data consists of firmographics, technographics, and verticalized datasets that help define whether a company is a good prospect.  Biographic values such as Job Function, Level, Skills, and Responsibilities should also be employed when evaluating contacts or leads.

Firmographics are the basic variables that have long been used to define a good prospect.  Firmographics include location, size (e.g. revenue, employees, assets, PE/VC funding, and market cap), industry, and year founded.  Other commonly used dimensions include Ownership Flags (Minority Owned, Woman Owned, Veterans Owned, SOHO, Franchise), Ownership Type (Public, Private, Nonprofit, Government), and Parent/Sub/Branch.

Ownership flags are used for both inclusion and exclusion with SOHO and Franchise flags generally used to exclude small businesses and those with limited purchasing authority.  Subsidiaries and Branches are often excluded as they also have more limited purchasing authority, but are included when looking for locations to sell into after an MSA is signed or when evaluating entry into overseas markets.  In these cases, knowing all of the locations of current accounts and top prospects is quite valuable.  Likewise, logistics companies look for companies with many locations.

Several vendors support radius searching around a ZIP code.  This select is valuable for both event planning (e.g. 50 miles from a tradeshow) or for sales reps when traveling and looking to include additional accounts and prospects on a trip.

A recent study by Dun & Bradstreet found that three of the top five dimensions used when targeting B2B accounts are firmographic (Location, Industry, and Company Size).

Firmographic variables such as geography, industry, and company size are commonly used for specifying target accounts (Source:
Firmographic variables such as geography, industry, and company size are commonly used for specifying target accounts (Source: “The 6th Annual B2B Marketing Data Report,” Dun & Bradstreet, Sept 2018).

Furthermore, Account specific lists for ABM generally employ firmographic criteria when building or extending ABM lists.  (Online activity is an intent variable which was discussed in my last What Is.)

Technographics are an example of a verticalized dataset.  Generally they consist of vendors, products, and product categories.  Originally, such data was only available from technology sales intelligence vendors such as DiscoverOrg and HHMI (now Aberdeen Services), but HG Data built and licensed a technographics dataset which is now widely available in data marketplaces, predictive analytics, and sales intelligence platforms.  Aberdeen followed suite in licensing their dataset as well.

LinkedIn Sales Navigator offers a set of unique selects for targeting departments, department headcount growth, and employment growth.  Unfortunately, this data is not downloadable or available for lead scoring.

LinkedIn Sales Navigator offers a set of unique variables for building lists. Unfortunately, the variables are not exportable.
LinkedIn Sales Navigator offers a set of unique variables for building lists.

Biographic variables are also important when determining fit.  Job function and level help determine whether a lead is likely to be a decision maker, influencer, or noise.  Most vendors map job titles to taxonomies of between 8 and 60 job functions and 4 to 8 levels.  Other biographic variables include education, years at company, former companies, and interests.

Data availability and currency may also play into Fit both directly and indirectly.  If a select is weakly populated (e.g. Education, Skills), then many potential targets will be omitted from lists or given low scores.  In some cases, lowering the lead score due to a missing field makes sense.  Lead scores should incorporate the availability of emails, direct dials, and LinkedIn handles because this information increases the likelihood of successfully communicating with a prospect.

TIP: When evaluating vendors, ask about the fill rates on key fields you anticipate using in your lead scoring or prospecting.

In a similar vein, last update dates should also be used as a filter.  Data from SHRM indicates a 2016 average contact decay rate of 27% when accounting for job departures, lateral moves, and title changes.  And this is only at the contact level.  The rate is even higher when including company name changes, relocations, and bankruptcies / facility closures.  Thus, the last update field is a relevant fitness variable for prospecting but not inbound lead scoring.

In short, lead fitness can be defined by a broad set of who, what, and where variables related to companies and contacts.

Mmojo Data Marketplace Launched (Part III)

Mmojo Data Manager Portfolio View
Mmojo Data Manager Portfolio View

This is part III of my Mmojo coverage.  Part 1 covered data enrichment and part II covered prospecting.  My final blog covers Mmojo’s data partners and pricing model.

Both prospecting and uploaded lists may be appended via the Mmojo data marketplace.  While basic company firmographics are included with the subscription, additional data sets may be appended, some for a fee:

  • Contacts: Contact Function, Level, Title, Email, Direct Dial, Social Links.  Licensed from multiple partners.  Only Stirista has been disclosed so far.
  • Technographics: Aberdeen high-level budget figures, hardware counts (e.g. servers, laptops, printers), IT headcounts, installed technology
  • Extended Firmographics: Geolocation, Alternate Names, Parent Company, Phone
  • Extended Address Data: Secondary Addresses, Carrier Routes, Census Data, Congressional Seat
  • M&A Activity: X8 M&A Activity Index Score
  • Company Classification and Growth Indicators
  • Legal Entity Identifier (free)
  • Public Company Financials: US SEC (free)
  • Taxpayer Data: IRS by City or State (free)
  • National [Medical] Provider ID: CMS (free)
  • Social Security Data by ZIP: US SSA (free)

Premium data set descriptions are provided which include the list coverage rate, update frequency, refresh period (how long licensed without paying for the record again), price per record, fields, and column definitions.

Unlike other firms which treat their company identifiers as proprietary, Mmojo will be open sourcing their ExC company identifiers.  Currently, Dun & Bradstreet D-U-N-S Numbers serve as the de facto global company identifier, but Mmojo will be challenging that status next year when they roll out international company profiles with open sourced ids.

The ExC numbers also support list appends and merging.

“Once appended, users can view their contacts and associated contact analytics.  The analytics enable Mmojo users to detect gaps by showing total number of contacts, percentage of companies with contacts, and the distribution of contacts by function and title, providing key data intelligence to B2B and SMB sales and marketing organizations.”

  • CEO Hank Weghorst

Members of the Austin-based Mmojo team include several former members of the Avention product team including CEO Hank Weghorst, Chief Data Officer Brad Palmer, and CTO Ray Renteria.  While there are some broad stroke similarities between the platforms, Avention never offered a data mart service.

Mmojo does not yet provide marketing automation or CRM connectors, so marketers must upload and download CSV files between Mmojo and these other platforms.

Mmojo is priced at $95 per month with additional charges for premium datasets.  The base service includes support for up to 250,000 unique companies under management, basic company and contact enrichment, and list prospecting.  Credit card and ACH billing are supported.  Premium data may be purchased in blocks of credits as follows:

Premium datasets are priced differently with contacts being 10 credits per record and technographics 16 credits per record.
Premium datasets are priced differently with contacts being 10 credits per record and technographics 16 credits per record.

Pricing varies by record type.  For example, Mmojo contacts are priced at 10 credits per record, but Aberdeen technographics are priced at 16 credits per record.  Thus, Aberdeen appends are priced between $0.112 and $0.16 per record.

Contracts may be canceled at any point.

Mmojo tracks which records have been previously downloaded and does not charge again for a record if it is being downloaded within a refresh window (six months for most vendors).  Users are only charged for premium data downloads.

An Enterprise service option is available for firms requiring multiple seats, more than 250,000 managed records, or custom configurations.

Mmojo is offering free ten-day trials.  Trialers have view-only access to the tool and do not need to provide payment details during the trial.  When lists are shared with non-users, they are also eligible for ten day trials.

The service includes a set of context sensitive help tools and videos.  A customer forum is also available for asking questions.

This is one of the most mature product launches I have seen.  The service includes a broad set of functionality, clean user interface, deep content partnerships, complete help and training tools, and a full press page.  When discussing the product pre-launch with Weghorst, there was a clear product positioning and defined target market segment.  The service also offers unique product pricing (hybrid subscription with premium data sets) and business models.

Mmojo Data Marketplace Launched (Part II)

 

 

Mmojo offers segmentation analysis and look-a-like prospecting.
Mmojo offers segmentation analysis and look-a-like prospecting.

(Part II of my coverage of the Mmojo launch.  Yesterday I covered Mmojo’s enrichment capabilities and tomorrow I will cover pricing and data vendors)

Mmojo’s prospecting module supports both traditional prospecting and ABM list cloning.  The Build a List User Interface is straightforward with filtering by

  • Location: State, City, ZIP
  • Company Name
  • Company Attribute: Public/Private/Government, HQ/Sub/Branch
  • Size: Revenue, Employees
  • Technology
  • Industry: Industry Keyword, SIC
  • Contacts: Function, Level, Keyword
  • Indicators: Home Office, Woman Led, Minority Led, Franchise

Type-ahead suggestions help with quickly entering cities. technologies, industry, and job functions/levels.

Missing geographic selects included counties, MSAs, ZIP Ranges, Email and Direct Dial Availability.  The inability to easily refine by location may be a hindrance to SMB sales.

The Industry selects are by keyword and SIC code, but the keyword search which supports typeahead suggest is sluggish. NAICS codes are coming next month.

Mmojo offers a matrix for quickly selecting job functions and levels.
Mmojo offers a matrix for quickly selecting job functions and levels.

A nice feature is the ability to quickly select contacts by function (Sales, Marketing, Engineering, IT/IS, HR, Finance, Operations, Planning) and Level by clicking or dragging the clicked mouse across a grid (see image on right).  Users can also enter keywords, but the list was mostly high-level titles and general functions.  Missing were key roles such as purchasing, sales operations, accounts receivable, accounts payable, security (except CISO), and compliance (except CCO).

Another welcome feature is the ability to save multi-variable filters allowing marketers to store territories or industry segments for quick recall.

Previously uploaded or built lists may be used for list suppression (e.g. exclude current customers and prospects) or as a constraint list (e.g. subsetting of a current list for targeting).  The system also maintains a Master List for this purpose.

When prospecting, marketers can grab a random subset of the list for a campaign or for forwarding directly to sales reps.

Lists can also be used to find mMore-like-these cloned companies.  The peer feature allows users to define the relevant variables and weights to be assigned to them.  Thus, a regional tradeshow list can be used as a seed file for additional prospects, but with the location variables relaxed; additional variables (e.g. deployed technology, growth indicators, corporate attributes) can then be assigned corresponding weights.  This feature is easily managed via a drag-and-drop tool and visual indicators.  As a segmentation analysis is also displayed, marketers can analyze the seed file as they adjust the selection criteria and weights.

I had one significant concern: the workflow from building a list to viewing it is not clear and is likely to frustrate trialers and new users.  Nevertheless, the user interface is otherwise straightforward and the dynamic segmentation (see left side of top image) is beautifully rendered and informative.


Part III discusses Mmojo content and pricing.

Sigstr Pulse Released

Sigstr recently announced the launch of its new relationship marketing platform and Sigstr Pulse application.  The new cloud offering analyzes email and calendar patterns to determine the strength of relationships between employees and prospects.  Instead of determining engagement as clickthroughs and web visits, Sigstr Pulse determines relationship strength based upon employee interactions with prospects.  Data is collected passively with sales reps not required to take any action.

According to Sigstr, “Revenue lags relationships. When you understand the quality of relationships, marketers can provide better air coverage and sales can forecast better.”

Sigstr calls out relationships between employees, accounts, contacts, and location; scores the strength of those relationships; assesses relationship strength over time; and helps identify warm introductions.  As a relationship marketing platform, Sigstr visualizes the relationships with key accounts and determines “which contacts you know best and which you need to know better.”

Sigstr argues that corporate inboxes and calendars are the best source for measuring relationships.  Relationships “live and grow in the inbox,” said Sigstr CEO Bryan Wade.

“Relationships are the lifeblood of every business, and no other system tracks who has relationships with whom better than a corporate email system. Sigstr Pulse allows marketers to effortlessly solve a problem everyone knows they have, making it easy to understand your organization’s complex web of relationships and take action on them. One practical example is in event marketing, as brands can send invitations to potential attendees based on the hierarchy of relationships within an organization,” said Wade. “Our platform is already in the email flow of hundreds of thousands of employees at some of the world’s largest brands, which means they can flip a switch to turn on relationship marketing via Sigstr Pulse. As we’re marketing in the era of GDPR, tapping into coworkers’ existing business relationships means less cold calling and more productive marketing.”

.Sigstr Location Intelligence analyzes the strength of connections at the metro level.
Sigstr Location Intelligence analyzes the strength of connections at the metro level.

Sigstr provides location-based intelligence to help identify where contacts are located.  This intelligence assists with on-site meeting planning, territory assignment, and assessing relationship strength at the location level.  Location-based intelligence can also be employed for event planning and marketing.

Sigstr evaluates relationship strength based upon the frequency, recency, and directionality of communications along with the acceptance of calendar invites. Users are able to build targeted lists, identify strong relationships with the company for referrals, and evaluate how relationships are strengthening or atrophying at ABM accounts.

“Sigstr has expanded the opportunity for marketing and sales teams by allowing them to make the person-to-person connections they need through existing relationships within the organization.  Email is at the center of nearly every professional’s daily workflow, and now they can use those interactions to build their business beyond just the conversations they’re having.”

  • Matt Heinz, President of Heinz Marketing

Sigstr does not yet have the functionality to exclude specific individuals or departments from your relationship data, but there are controls that manage which inboxes are integrated with Sigstr Pulse. Users cannot yet block access to relationships for teams involved in confidential communications such as litigation, M&A, and partnerships. Likewise, individuals cannot opt out if they wish to retain control over their relationships. As this is a V1 release, it is likely that their customers will demand such controls to be added.

Sigstr does have GDPR controls in place to modify or delete specific users, if users wish to remove their personal information.

Sigstr Pulse supports a Chrome Connector which provides on demand company and contact relationship insights while browsing the web.

Sigstr Chrome Connector.
Sigstr Chrome Connector.

Sigstr Pulse pricing is based on number of users (logging into the application and downloading the Chrome extension) and email volume.

Sigstr also offers an email signature marketing application which provides custom messaging and banners within employee email signature blocks.

True Influence InsightBase 2.0

True Influence LogoTrue Influence rolled out version 2.0 of its InsightBase ABM platform with enhanced intent data, improved contact data, and an Advanced Relevance Engine which ranks accounts according to ABM demand level. 

InsightBase provides intent analytics across 4,000 business topics and fifteen countries.  Intent is then matched to contacts, firmographics, and location-level technographics.

According to the firm, InsightBase 2.0 “combines the most advanced data and analytic technologies to create a comprehensive monitoring solution that specifically identifies Intent Signals, which are proven pieces of data that indicate buying interest and purchase acceleration. These signals are collected in real-time as the result of web-based activities – such as web impressions, searches, email opens and more — to create a profile showing which companies and locations are actively in the market for a specific solution.”

In March, True Influence announced a partnership with Dun & Bradstreet to match and enrich company and contact data. Other partners include Zoominfo (contacts), Aberdeen Group (Technographics), and Bombora (intent).

True Influence offers connectors for Marketo, Eloqua, and Salesforce.

“Today, companies tend to rely on first-party lists or behavioral data to plan their B2B marketing approach, but that is just a small piece of the puzzle,” said True Influence CEO Brian Giese. “The fact is, B2B decision makers take a complex journey before making buying choices by conducting research for their next big purchase. To be truly competitive, it’s critical to have a complete, worldwide picture of your prospects’ overall online purchase journey.”

Openprise Expanded Data Marketplace

Data Orchestration vendor Openprise expanded its Data Marketplace with the addition of seven new vendors: Dun & Bradstreet, Oceanos, DiscoverOrg, KickFire, Acxiom, Cognism and People Data Labs.  The Openprise Data Marketplace is a third-party data mart which assists with “onboarding, ingesting and normalizing data” into major platforms such as Salesforce, Marketo, Eloqua, Microsoft Dynamics 365.

“Our customers benefit from having access to accurate and complete B2B marketing data – from verified account and contact data to organization charts to intent signals and buying scoops,” said Katie Bullard, DiscoverOrg Chief Growth Officer.  “The depth of our data gives sales and marketers a 360-degree view of target accounts and contacts, and our integrations ensure that data is always fresh, complete and up-to-date.”

“Openprise users can now incorporate Oceanos‘ contact hygiene and provisioning solutions directly within their automated processes to improve their demand generation and Account-Based Marketing initiatives,” said Oceanos’ CEO Brian P. Hession.  “Our API wraps five leading hygiene vendors into a single solution, further amplifying the benefits marketers realize.”

Openprise Content Partner Network
Openprise Content Partner Network

Openprise assists with cleaning and normalizing customer data, assesses match rates, recommends new data providers, coordinates data processing, and unifies data across systems.

John Donlon, Senior Director of Marketing Operations Strategies at SiriusDecisions, called acquiring and standardizing high quality prospect data as “one of the biggest challenges marketers face” and “critical” to implementing the SiriusDecisions Demand Unit Waterfall.  “Any technology that can facilitate that will give organizations a huge leg up not just in understanding their target audience, but in driving meaningful interactions throughout the buyer’s journey.”

Openprise claims that no single data vendor can provide superior data than their platform.  They also warned that a multiple vendor strategy is often ineffective due to industry content white labeling, resulting in little incremental value.  “With our Multi-Vendor Enrichment Strategy Service, our customers know quantitatively how each incremental vendor’s data will improve their database and they have the processes in place to easily integrate new data in a way that conforms with their existing data policies.”

The Openprise platform supports data onboarding, data cleansing and enrichment, data unification across systems, and data delivery.

Other members of the marketplace include ZoomInfo, InsideView, Salesgenie (Infogroup), Orb Intelligence and Synthio.

InsideView Marketing Suite for Microsoft 365

Sales and Marketing Intelligence vendor InsideView rolled out a Marketing Suite for Microsoft 365 which packages add-on prospecting and enrichment capabilities for the Microsoft 365 InsideView service. The new suite helps “modern marketers grow and improve the quality of their pipeline, prioritize leads, find and engage ideal prospects and customers, and support account-based marketing (ABM) programs.”

The Marketing Suite bundles InsideView Enrich (lead and webform enrichment), InsideView Target (list building), and InsideView Refresh (Batch Account updates). InsideView is offering special “Suite Deal” pricing.

InsideView has long provided a natively embedded free Insights service for North American sales reps within Dynamics.

InsideView Refresh Match Analytics.
InsideView Refresh Match Analytics.

InsideView Apex, their recently launched go-to-market decision engine, is a further option for the Marketing Suite.

“Today, as more B2B marketers use targeted strategies like account-based marketing to expand customer relationships and win new ones, they need a marketing automation solution that helps them identify and engage with the best opportunities,” said Joe Andrews, InsideView VP of product and solution marketing. “The InsideView Marketing Suite builds on the foundation of Microsoft Dynamics 365 for Marketing so marketers can tap into our Targeting Intelligence to get higher quality data, make better marketing decisions, and execute more successful targeted marketing programs. As a Microsoft OEM partner, InsideView is always looking for ways to extend the value we can offer their customers.”

2018 SalesTech Landscape

The SalesTech Landscape covers over 500 solutions.
The SalesTech Landscape covers over 500 solutions.

Nancy Nardin of Smart Selling Tools published her 2018 SalesTech Landscape with more than 500 companies, a 25% increase over 2017.  While the scope of the industry is impressive, it is one-tenth of the MarTech Landscape list put together by Scott Brinker and Chief MarTech.  Many of the SalesTech companies appear in both lists.

“The SalesTech space is certainly a crowded market. It’s complex and confusing and it will become more, not less, confusing for the foreseeable future. I don’t see a major consolidation happening any time soon despite recent acquisitions,” said Nardin.  “At this point, there is unquestionable pressure due to sales tool fatigue, for solution providers to broaden their offerings either by acquisition or added functionality. Fewer companies are willing to manage the implementation and adoption of 10 or more individual sales tools – many of which have over-lapping capabilities.”

Nardin recently launched a second company called Vendor Neutral which assists sales departments with identifying “the right mix of solutions based on your organizations capability gaps.”

DealSignal Total Audience Platform

DealSignal, which offers an on-demand platform for Total Audience and Contact Data Management for B2B marketing and sales, recently rolled out its Total Audience Metrics (TAM) module.  The new platform helps sales and marketing professionals improve Go-to-Market and Demand Planning processes by allowing them to measure and visualize their total audience and determine coverage gaps in their CRM and MAP.  The new platform analyzes TAM by persona, account segment, and buying committees (what SiriusDecisions calls Demand Units).

“We’ve run hundreds of TAM analyses for B2B marketing teams in various industries and customers are consistently surprised to find that they’re missing more than 80 percent of their target audience—the contacts that fit their target personas and ideal customer profile. TAM coverage is currently averaging 18 percent in existing CRM and MAP systems. It’s a big ‘aha moment’ to learn that you’re missing out on marketing or selling to a large majority of your potential buyers. Often, the best potential buyers – those most likely to convert – are among the missing contacts found in the gap analysis,”

  • DealSignal CEO Rob Weedn

The firm is seeing rapid uptake on its TAM service which is available as either a freemium (TAM Estimates) or paid option (TAM Actuals).  “Early feedback is that this is a great way to verify the counts and size up the Outbound and/or ABM marketing programs over the upcoming year,” said Weedn.

According to DealSignal, TAM Estimates are accurate to ± 20% of Accounts and Contacts.  “We’ve been offering this for a few months and it is very popular” with customers and prospects “leveraging this analysis for initial demand planning and budgeting,” said Weedn.  “TAM Actuals is a Paid Offering, charged based on credits on our platform, which provides perfectly accurate Total Audience metrics based on Accounts and Contacts.”

The DealSignal platform dynamically discovers, refreshes, and verifies records based on the TAM criteria.

DealSignal has adopted the term TAM, but calls it Total Audience Metrics instead of Total Addressable Market.  Weedn explained the difference between the DealSignal and Classic TAM approach:

Total Addressable market is classic and static top down analysis, based on sample/partial market data, typically performed by market research and analyst firms like IDC, Gartner, etc.  “Classic TAM” is not necessarily an accurate sizing of the market, it is not frequently updated, and, most importantly, there is no real way for marketing and sales teams to plan marketing and sales programs with a classic and static top-down TAM, and definitely no way to execute against the Accounts and Contacts in that TAM.

DealSignal, is here to help marketers market and sellers sell, so we perform an accurate, bottoms-up, dynamic analysis, based on complete market data, of the actual counts of the Total Audience – which we define as the Accounts that meet Target Market criteria (Industry, Employee, Revenue, Technologies Used, etc.) and Contacts that meet Ideal Buyer Persona criteria.  Further, our Total Audience Metrics/Measurements include a process to dynamically discover and verify the underlying Accounts and Contacts, so TAM Analysis is dynamic, based on actuals, and can be updated on demand.  The Accounts and Contacts can then be converted, with one click, to fully enriched and verified with full Account/Contact Profiles and Contact Information to be used in marketing and selling initiatives.

Using the DealSignal platform, users can define target personas and Ideal Customer Profiles (ICPs) to build out their TAMs, using micro-targeting criteria such as Titles, Profile Keywords, and Locations that yield results as ranked lists of relevant accounts and contacts. The module compares the TAM against the CRM and identifies gaps by account, industry, geography, etc.  DealSignal provides the TAM based not only on CRM data and large third-party sources, but through dynamic sourcing and verification, so the TAM results are “comprehensive and accurate” with net-new accounts and contacts.

DealSignal combines APIs, algorithms, and human intelligence to achieve a much higher level of contact accuracy (95 – 100% according to the firm) than most vendors.  The company provides a 100% guarantee on all Account and Contact data.  The system enriches and verifies existing leads, contacts and accounts.  As it conducts dynamic data sourcing, DealSignal claims account enrichment match rates between 95 and 100% and lead enrichment match rates between 85 and 100%.

DealSignal TAM Analysis Module
DealSignal TAM Analysis Module

DealSignal dynamically discovers, enriches and verifies account and contact lists through a combination of AI robots and researchers combined with CRM and MAP feedback loops.  The firm claims a deliverability rate between 94 and 97% and reverifies data on demand for every customer request, with a two week window for contact aging.  Records that fall outside of the two-week window are reverified overnight.

“Since static data-at-rest quickly becomes dated, we do not trust it, you should not trust it, and you should certainly not rely on it to define or optimize your vital marketing or sales programs. It must be renewed and refined at runtime,” said Weedn.  “We believe in dynamically refreshing and re-verifying data on-demand, when it needs to become active and put into a marketing or sales process—and we’ve uniquely designed the DealSignal platform to do just that.”

DealSignal has automated and editorial processes that place its data quality at a level claimed only by DiscoverOrg.  Both firms utilize editorial teams for staying ahead of the 25 to 30% contact decay rate suffered by static databases.  DiscoverOrg performs a full data verification every 90 days while DealSignal performs a just-in-time data quality review overnight.

“Marketers and sales teams currently rely on solutions that provide 50 to 80% quality.  That is a B- or F on a test, and we need to change the expectation to impeccable quality, at 95-100% (A or A+) to greatly improve marketing and sales performance,” said Weedn.

Last month, DealSignal released a GDPR risk assessment module which enriches CRM data with contact locations and flags EU-based leads.  Users can also choose to exclude EU-based leads.

“B2B marketers are faced with many challenges today: identify and engage their total audience, try to keep their audience data fresh and accurate, and comply with new regulations like GDPR. Given the negative consequences associated with GDPR, most marketers are scrambling to review and re-verify the location and status of their contacts,” said Weedn.

Leads are pre-purchased on a volume basis with 1,000 credits running $895.  Volume discounts kick in at 5, 10, 25, 50 and 100 thousand credits.

D&B Optimizer for Marketing

DNB Optimizer for Marketing -- Key Features
DNB Optimizer for Marketing — Key Features

Dun & Bradstreet rebranded D&B Workbench Data Optimizer as D&B Optimizer for Marketing and announced a set of enhancements to the platform.  The Workbench name, now dropped, went back to the product’s origins as NetProspex Workbench, one of the first DaaS Hygiene / Enrichment / Prospecting platforms.  The rebranded product includes a series of new features including an Analyze module, Salesforce Contact Optimization, custom email deliverability targets, and NAICS industry code support.

“This new name reflects Dun & Bradstreet’s commitment to deliver the very best in data optimization services,” the firm wrote its clients.  The new name is also consistent with its other Optimizer solutions: D&B Optimizer for Salesforce and D&B Optimizer for Microsoft.

The new Analyze module delivers profiling and market opportunity analysis “utilizing D&B Master Data and proprietary machine-made analytics.”  Features include dynamic dashboards which help marketers visualize their primary profile by revenue, employee size, and industry.  The service also provides look-a-like opportunities to assist with ABM expansion and pipeline growth.

The new Salesforce Integration for Contact optimization supports contact cleansing and enrichment at a frequency determined by the customer.  Dun & Bradstreet claims that the Salesforce integration may be setup in fewer than twenty minutes.

Custom Email Deliverability Levels allow marketers to dip deeper into Dun & Bradstreet’s pool of emails and select contacts with lower reliability scores.  The default level is 90% deliverability, but highly targeted selects may require using contacts that are below the 90% deliverability threshold.  Dun & Bradstreet called the 90% threshold “our recommended level for most email campaigns.”

Finally, D&B Optimizer for Marketing added NAICS industry code selects.  The product already supports the older US SIC industry taxonomy.

Other D&B Optimizer for Marketing features include data validation and standardization (email, phone, address), duplicate flagging, data hygiene reports, lead prospecting, segmentation analysis, and data enrichment (firmographics, D-U-N-S Numbers, corporate linkages, technographics, biographics).