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

Mmojo Match List results display match scores with a drill down option on match criteria.
Mmojo Match List results display match scores with a drill down option on match criteria.

A new data marketplace, called Mmojo, was launched late last month.  The service provides cloud based prospecting, hygiene, segmentation analysis, look-a-likes, and data enrichment for B2B marketers.  CEO Hank Weghorst sees the SMB market as Mmojo’s sweet spot.  Mmojo describes itself as “the B2B data marketing data everything application.”

“Excellence in B2B Marketing depends on data, particularly in today’s world where data is everywhere,” explains the firm on its website.  “The problem is you have to do all the work: find the data, license the data, cross-reference the data, analyze the data, and maintain the data. Your Marketing Automation and CRM systems are not designed to do this. In fact, they REQUIRE data to feed them and make them effective. What if you had an easy-to-use system that did all that work for you? Mmojo does all of this for your existing data and for new data to drive your marketing programs.”

The Mmojo database spans 20 million US companies and 80 million contacts with plans to add international data in 2019.  Contacts include titles, job functions, emails, direct dial phones, and social handles.  Company intelligence includes firmographics, Aberdeen technographics (premium dataset), M&A heat scores, and public company financials and ratios.

“It’s been proven that the use of high-quality data will drive better marketing results. We built Mmojo with the sole purpose of providing simple and affordable access to this valuable data commodity,” commented Weghorst. “This approach, executed using our partner relationships and most importantly our state of the art technology, has enabled us to change the game.”

Data matching is performed against company, domain, phone, IP address, email, and additional variables as selected by the Mmojo AI match logic.  Matching is done automatically so users do not need to create a field mapping table between Mmojo and their source file; however, users can remap fields if Mmojo selected the wrong field or there are multiple similar columns (e.g. shipping and billing addresses). The match results list includes the match score and Mmojo ExC company identifier.  Users can click on a match score to see additional details about the match.  They can also quickly modify the match threshold and see how many records meet the adjusted threshold level.

Once a list is matched, the user can click on the List Analytics tab and view segmentation (state, revenue, employees, top industries) along with match analytics.  The “Sky Profile,” a trademarked feature, represents the “absolute centroid” of the list by revenue, employees, and industry.  The Sky Profile should be viewed as a typical record.

A List Details tab shows the field fill rates of the original file and the matched Mmojo field.


My review continues with Part II on prospecting.

TechTarget Scoops up Oceanos Marketing

TechTarget LogoTucked into the tail end of TechTarget’s earnings release last week was notice that they had acquired Oceanos Marketing, a contact data management company.  Both firms are based in the Boston suburbs.  Oceanos brings “data quality and data management expertise that will help us improve our offerings and deliver better results to our customers.”

Oceanos began as a list broker in 2002, but has since evolved into a B2B contact aggregator and data refinery.  The firm aggregates 97 million active US contact records (as of August 2017) and retains millions of inactive names and emails to assist with hygiene.  Data is aggregated from over a dozen vendors and includes social data from FullContact and Pipl.  Oceanos provides data enrichment, TAM analysis, net-new contacts, and a set of data specialists to assist with projects.

TechTarget manages a smaller set of 18 million subscriber profiles, 16 million of which are technology professionals.  The Oceanos acquisition should allow TechTarget to improve both the quality of their subscriber dataset and expand coverage into non-technology positions.  As technology purchase decision making has expanded beyond tech titles, Oceanos provides significant lift into other job functions.  Oceanos contacts are mapped to 12 Job Functions, 109 Sub-functions, and 7 Job Levels.

Oceanos President Brian P. Hession identified their differentiators as their unique blend of technology, professional services, and data quality. With data quality being critical to ABM sales and marketing initiatives, the inclusion of real world project fulfillment through their program specialists provides Oceanos with data quality insights that are used to continuously inform and enhance the data quality processes. “We apply both technology and real-world insights to ensure the highest quality of data before we are releasing it. We are incorporating a continuous stream of data quality insights into our code to address the many nuances that a program specialist encounters manually on a dataset,” said Hession last summer.  “The way that Oceanos is going to be successful in the future is if we can assemble an internal contact database that is of the highest quality in the industry.  So there’s been a lot of focus on putting models on top of our contact data.”

“Social data plays a role in our data hygiene process and serves as a ‘signal’ within both our Data Quality Score (DQS) and ABM Usability Score. The social information is sourced from reputable partners,” said Hession.  “Oceanos does not scrape contacts across LinkedIn or, in that vein, any social media site. All of our contact records originate from carefully selected third party data providers.”

The acquisition cost was not announced but was deemed “non-material.”  Oceanos 2017 revenue was around $5 million.

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.

SalesIntel Human-Verified Contacts

SalesIntel supports prospecting by Job Level, Department, Title, Company, Location, Size, Email, and Contact Name.
SalesIntel supports prospecting by Job Level, Department, Title, Company, Location, Size, Email, and Contact Name.

Manoj Ramnani, CEO of CircleBack, launched his next venture, SalesIntel, as a beta service this month. After spending a decade in the sales and marketing space, Ramnani realized that “high quality and affordable B2B contact data for sales professionals was missing, and that enterprises were looking for a better deal.”

Traditional contact files are around 80% accuracy, but SalesIntel claims 95%+ accuracy through human verification of their contact records. Once added to the database, SalesIntel contacts are subject to a 90-day reverification cycle to maintain accuracy. 95% pushes the limits of accuracy due to the 2 to 2 ½% natural decay rate of contacts based on ongoing executive changes.

SalesIntel currently covers one million U.S. contacts, but it is growing at 100,000 names per week. Ramnani projects that the SalesIntel database will double in size to two million contacts by September.

Every contact record contains an email address and 90% contain direct dial phone number and LinkedIn hyperlinks. SalesIntel also provides headquarter and branch location switchboard numbers.

This data acquisition model is similar to the editorial process implemented at DiscoverOrg which has built a high quality database of three million contacts subject to 90-day human reverification cycles.

Ramnani emphasized that contact quality is even more important in the era of ABM targeting and committee buying:

When they do start a conversation, sales reps lack the contact information to easily include and reach out to everyone involved at an account. Each business decision involves seven buyers on average, but at least info for two of those contacts is expected to be wrong on average. Inaccurate data doesn’t only cost the cost of acquiring the data. It costs your sales team time, profit, and can slow down deals.

  • SalesIntel CEO Manoj Ramnani

SalesIntel also supports ABM lookup of contacts at companies and broader list building. Screening covers basic location, employee, revenue, title, and name filters along with six job levels, nine departments, and industry codes (SIC and NAICS). Location screening is limited to State and ZIP codes. Up to 500 records may be downloaded at a time.

The basic service offers 50 view-only contacts per month for $50. The standard service provides 100 downloadable contacts per month for $100 and the Advanced service provides 250 contacts per month for $250. A Salesforce integration and technographic selects are coming later this month.

“My team and I started this journey six months ago with the mission to make sales professionals’ lives easier,” Ramnani said. “We realize that salespeople shoulder the most important responsibility for the existence and growth of their organizations, namely, revenue growth. Our goal is to use the power of machine gathering and human verification to make their lives easier by providing them with the highest quality data on the market.”

Zoominfo Growth Acceleration Summit

Zoominfo held its third annual Growth Acceleration Summit in Boston last month.  The event projected increasing marketing confidence by the firm, with Earvin “Magic” Johnson keynoting and lectures by many of the top sales and marketing thought leaders including Jay Baer, Convince & Convert; Tiffani Bova, Salesforce; and Keenan, A Sales Guy, Inc.  Analyst sessions included Sirius Decisions, Heinz Marketing, and Forrester.

The event also provided a forum for announcing ZoomInfo’s latest Growth Acceleration Platform features.  New capabilities include a revamped ReachOut 2.0 Chrome Connector and a HubSpot Connector.

Magic, who has a long history of success in business and team ownership, provided personal anecdotes about his basketball and business career.  Key pointers includied hiring self-motivated staff that are smarter than you so as to continuously renew the organization; make sure you over deliver on customer expectations; and reward your staff, not just executives, as it is the staff that will ensure your ability to continuously over deliver;  Finally, he said that there are too many competitors out there to ever relax – both businesses and athletes need to continuously improve.

The new Hubspot connector allows users to upload Accounts and Contacts to Hubspot with a click of a button from either a browser or the ReachOut Chrome connector.  The HubSpot integration also supports ZoomInfo Complete which provides on demand enrichment at record creation.  ZoomInfo Complete for HubSpot is currently in beta.

ReachOut 2.0 identifies LinkedIn pages and URLs and maps them to ZoomInfo Intelligence. Profiles, which include firmographics, emails, and direct dials, may then be quickly uploaded to CRMs or sales engagement platforms..
ReachOut 2.0 identifies LinkedIn pages and URLs and maps them to ZoomInfo Intelligence. Profiles, which include firmographics, emails, and direct dials, may then be quickly uploaded to CRMs or sales engagement platforms.

 

ReachOut 2.0 streamlines account and contact research from within Chrome, providing instant access to ZoomInfo intelligence while browsing.  The service is context sensitive, providing company and contact profiles based upon the current LinkedIn record, URL, or CRM record being viewed.  The service also supports quick export to Salesforce, Hubspot, Microsoft Dynamics, Outreach, and SalesLoft.  When expanded into an 80% screen view, full company and contact intelligence is displayed.  Company insights include location, firmographics, people at company by job function, company locations with contacts and location counts per geography, technologies used (licensed from HG Data), and competitors (licensed from Owler).  Contact data includes company intelligence along with an expanded set of social links and contact details.

The 80% ReachOut expanded view supports full prospecting both across companies and within a single firm.  Users can quickly select records and share them to CRM (Salesforce, MS Dynamics, HubSpot) or Sales Engagement platforms (Outreach, SalesLoft).  Being able to enlarge to the 80% view allows Zoominfo to pack a full-featured offering into ReachOut, helping it expand from a tool to a full-service product.

ReachOut 2.0 supports full profiles and prospecting when expanded to 80% of the screen.
ReachOut 2.0 supports full profiles and prospecting when expanded to 80% of the screen.

ReachOut now supports user tagging allowing users to store campaigns, lead source, etc.

“If you combine your own intelligence with Big Data, you create for yourself a crystal ball that gives you the ability to focus your attention on the most important things that need to get done,” said CEO and Chief Scientist Yonatan Stern. “When you focus, it doesn’t cost you more money, but you can increase productivity and profitability.”

“Over the last year, we have doubled down on our strategy of making ZoomInfo’s contact and company data available on the platforms where our customers live,” said Phil Garlick, VP of corporate development.  “In keeping with that strategy, we have released two new products that integrate seamlessly with a host of platforms and systems our customers use.”

Also unveiled at the Summit was ZoomInfo’s new ZoomInfo University certification program, “a comprehensive, hands-on certification program that enables B2B professionals to fully leverage its B2B contact and account database for business results.”

The new training program teaches best practices around persona development, lead scoring and routing, market segmentation and territory management, campaign strategies, and data management.

“ZoomInfo University is designed to strengthen your knowledge of the industry and usage of the entire ZoomInfo Product Suite,” said Garlick.  “It’s both a deep dive of capabilities and the beginning of a lasting growth acceleration journey.”

ZoomInfo continues to be confident in their data quality due to their Community product which provides them with access to email signature blocks.  According to a sales rep, records updated within the past year have a 90% deliverability rate.  He noted, however, that deliverability will vary by industry and function due to the underlying contact decay rates of various segments.  For high decay functions (e.g. sales) and industries (e.g. high tech), he suggested using the six-month update select to ensure receiving the highest quality leads.