B2BSignals

B2BSignals' departmental filters are more granular than most vendors and span functions across the organization.
B2BSignals departmental filters are more granular than most vendors and span functions across the organization.

Technology sales intelligence vendor B2BSignals offers data enrichment and prospecting across a database of 50,000 global companies, 700,000 locations, and 27 million executives.  Emails are available for over 20 million executives with emails suppressed in countries with opt-in email regimes (e.g. Canada, Europe).

B2BSignals maintains a proprietary taxonomy for product categories, roles, departments, seniority, skills, and industries.  Over 20,000 technology products are tracked across 8 million product users.  Products and executives are identified at the location level.

B2BSignals does not license any data but acquires it through an open web crawl combined with social listening and editorial review by 900 staff in the Philippines and India.  The web crawl completes every 45 days.

Company prospecting filters include company name, industry and sub-industry, product category and sub-category, employee range, revenue range, domain, international region, country, state/province, city, and “HQ only”.  Contact filters add name, title, email availability, email id, department, and seniority level.  Users may upload suppression files as well as suppress previously downloaded records.

Executive profiles display location address, emails, corporate phones, work histories, roles held, title, department, level, tags and firmographics.  Users may add tags and download the profile as a PDF.

B2B Signals Contact profiles are quite detailed and include emails, titles, roles, products used, work history, tags, and firmographics.
B2B Signals Contact profiles are quite detailed and include emails, titles, roles, products used, work history, tags, and firmographics.

While the prospecting module has clear strengths concerning product and functional responsibilities, sizing data is limited to ranges and location prospecting lacks postal codes, counties, metro areas, and ZIP radius filters.

Company profiles include contact information, Google map, revenue and employment ranges, products installed, contacts by department, and tags.  However, the profile lacks social links, news, sales triggers, and business descriptions, all content which could be gathered via its web crawl.

The User Experience is modern and straightforward.  Separate home pages are provided for sales and marketing.  The Sales Home focuses on prospecting with filter variables, saved searches, recently viewed companies and contacts, and company and contact counts.

Pricing begins at $500 / month with unlimited search, read, and discover, but restrictions on the number of exported contacts and users.  If multiple users download the same record, the user is not charged for subsequent downloads.

In Q4, they will roll out an enterprise edition with APIs and connectors.  A recently introduced Salesforce connector supports batch and on-demand enrichment; custom field mapping; “stare and compare” updates; company and contact prospecting; and i-frame display within account, contact, and lead records.

The B2BSignals Find Contact Prospecting tab in Salesforce
The B2BSignals Find Contact Prospecting tab in Salesforce

The company has an analytics product in beta called Market Insights which provides installed technology segmentation analysis by geographical region, industry vertical, company size, and department. The product is similar to analytics offerings from BuiltWith, Datanyze, and HG Data.

The data cleanse and enrich function pre-processes the records before attempting to match them (many vendors skip this step).  The cleanse steps validate company and contact data, flag obsolete records, remove special characters, dedupe the file, and normalize company data. Cleansing helps improve match rates while flagging out of business companies and contacts no longer at a firm.  Data enrichment then appends firmographics, installed products at both the company and contact level, title, role, department, email, and products used at the contact level.

DiscoverOrg’s recent acquisition of number two technology sales intelligence vendor RainKing cemented their position as the leading vendor.  However, B2B Signals is positioning itself to take a run at the number two position in the technology sales intelligence space with data enrichment, market analytics, and prospecting.  Other contenders for the second position are Aberdeen Services, HG Data, and Corporate360.

Salesify had 2014 revenue of $16.9 million according to their Inc 5000 listing.  The firm was acquired in 2015 by Ziff Davis.  They launched B2BSignals last October.

Correction: B2BSignals was spun off as a separate business unit from Salesify after the Ziff Davis acquisition.   The article originally referenced Salesify, but that is a separate business unit.

Nimble Prospector

The Nimble Smart Contacts App captures the Name, Email, Mobile Phone, Work Phone, Job Title, Company, Website URL, Physical Address, Facebook URL, Twitter URL, and LinkedIn URL contained within an email signature.
The Nimble Smart Contacts App captures the Name, Email, Mobile Phone, Work Phone, Job Title, Company, Website URL, Physical Address, Facebook URL, Twitter URL, and LinkedIn URL contained within an email signature.

Nimble partnered with CircleBack to add two contact maintenance features into its social sales and marketing CRM for individuals and teams.  Users can capture email signatures or take a photo of business cards to populate Nimble.  Email signatures are gathered from Gmail, Google Apps, Outlook / Exchange, and Office 365.  Furthermore, CircleBack appends missing fields such as social links, corporate addresses, and URLs which may not always be available.  It then updates the records to ensure they remain accurate.

“CircleBack’s collaboration with Nimble brings tremendous opportunity to leverage and enhance our open API ecosystem, and to enable Nimble to enrich contact information from social data in new and increasingly effective ways.” said Manoj Ramnani, CEO, CircleBack. “What makes Nimble such an incredible Social CRM is its ability to provide instant context to its users, and now through the power of our APIs, we want to empower Nimble to do it with greater precision.”

Nimble browser extensions for Chrome, Firefox, Safari, and Edge allow sales reps to capture and enrich contacts while browsing the web.  Thus, a sales rep could be on LinkedIn, Twitter, Facebook, or a corporate website and add the contact record with a single click.  CircleBack then enriches the record with missing details.  What’s more, the sales rep doesn’t need to key information into Nimble or guess at email structures.

Nimble plans include 25 free lookups per user per month.  Additional contacts are priced in bundles between 20 cents (50 credits per month) and 10 cents (1,000 credits per month).  While credits are shared across the team and reasonably priced, they do not rollover.  Thus, the true per record cost is higher.

Nimble Prospector Pricing
Nimble Prospector Pricing

RampedUp Sales Intelligence & Win Stories

RampedUp Win Story Questionnaires are customized for each company.
RampedUp Win Story Questionnaires are customized for each company.

Launched in 2015, RampedUp offers a sales intelligence solution for browsers and Salesforce. Company and Lead Prospecting is managed from the browser with the option to send one or multiple records to SFDC. Along with standard firmographic selects, prospecting supports technographics and sales triggers. The database is gathered from Synthio and other vendors and spans 6 million global companies and 180 million contacts.

From within Accounts, Leads, and Opportunities, sales reps have access to the following Battle Card intelligence across five tabs:

  • Company: Contact information, firmographics, social media links, mined business descriptions, and recent news stories
  • Contacts: Title, location, email, and phone. The service also indicates whether the contact has been previously loaded into SFDC.
  • Customers: Similar companies with win stories.
  • Competition: Peers based on firmographics and keywords.
  • Technologies: Products for complementary and competitive targeting

A distinguishing feature of RampedUp is a custom tool for recording and sharing customer wins. Win Stories allow reps to understand how their peers closed deals in similar situations.

Sales Ops or Marketing define the key questions for a Win Story template and sales reps enter their responses. Of course, sales ops or marketing can conduct an interview to gather this information with the custom questionnaire operating as a survey template.

The wins are then published as email announcements and available as mini-case studies for other reps within SFDC. Thus, if prospect X has a competitor that has a win story, the competitor’s win is made available in the RampedUp i-frame. The browser version supports a searchable Win Vault.

Relevant Win Stories are delivered in the Customers tab within SFDC.
Relevant Win Stories are delivered in the Customers tab within SFDC.

RampedUp’s Home Page provides a set of gamification elements including recent case studies and a leader board.

RampedUp front page with win stories and a Leader Board.
RampedUp front page with win stories and a Leader Board.

While the most recent company new stories are displayed within SFDC, users must pop out to the RampedUp browser application to view a deeper set of news or filter by event category and date. Triggers are searchable by company, URL lists, or broadly. Bing-based sales triggers go back several years and are tagged by company and topic.

RampedUp does not yet provide sales trigger alerts, but they are on the company’s roadmap.

RampedUp also provides data enrichment functionality via a Clean Tool. The service charges $1,000 for every 10,000 companies and contacts cleaned during an initial batch cleanse. There is also an on-demand batch Clean process which flags inactive contacts, updates company and contact information, and adds additional contacts. Clean includes a unique contact update feature – not only does it flag departed Contacts, but it indicates where execs moved to as new SFDC Lead records.

RampedUp is priced at $1,000 per month for up to twenty users with unlimited access. Additional users are sold in twenty user bands.

RampedUp has fifty clients and is based in Norcross, Georgia.

Sparklane Predict 2.0

Predict builds Ideal Customer Profiles based upon Fit (Firmographics), Need (Sales Triggers), and Behavior (Marketing Automation behavioral data) allowing customers to identify both current best-fit accounts and net-new prospects.
Predict builds Ideal Customer Profiles based upon Fit (Firmographics), Need (Sales Triggers), and Behavior (Marketing Automation behavioral data) allowing customers to identify both current best-fit accounts and net-new prospects.

French predictive analytics firm Sparklane unveiled their version 2.0 Predict platform which employs artificial intelligence (AI) and active learning to score millions of companies and determine which prospects are most likely to become net-new customers.  The Predict platform is available for the UK and French markets with localized language and datasets.  A German edition is in development.

Sparklane ingests and enriches company data, matching it against firmographics and trigger events to score millions of companies.  The system then models the Ideal Customer Profile (ICP) and Total Addressable Market (TAM).  Sparklane also identifies “sparks” (hot prospects) based upon sales triggers and delivers real-time alerts, messaging, and contacts.

Models can be deployed for both new and existing business.  New business models can be constructed from historical data (e.g. CRM win / loss flags) or estimated and refined for new market entry.  Existing business data can also be deployed for churn models to help identify companies that are more likely to drop as well as upsell and cross-sell models.

CEO Frédéric Pichard said that employing artificial intelligence to identify your next best customers “is probably the most amazing promise B2B marketing and sales tools can fulfill” as it provides “a new way of working to help our customers be more efficient and successful.”

Sparklane users begin by importing datasets from CRMs or CSV files.  Logic is employed to determine both positive and negative sample records.  For example, a CRM Win / Loss flag could serve as such an indicator.  The file is then enriched and an ICP model is constructed.  The ICP contains three types of variables: Fit (firmographic), Need (Triggers), and Behavior (Marketing Automation prospect activity).  Marketers or Sales Operations are able to view the model and adjust weights.  This model is then employed for constructing a TAM with net-new accounts which can be saved as a fixed account list or dynamic model.

Sparklane onboarded file mapping.
Sparklane onboarded file mapping.

An accuracy score helps define how well the model distinguishes between good and bad prospects.  Thus, an 80% accuracy score indicates that 8 out of 10 companies in the seed file are properly predicted by the model.

An accelerated learning option is available for new market entry.  Thus, if a seed list of good and bad prospects is not available for a new product line or market, an initial set can be manually selected from Sparklane company lists and deployed as a first generation seed list.

An active learning option allows users to perform a qualification pass on a list to help expedite model construction.  While engaged in active learning, the user is shown company profiles which include account overviews, triggers, and family trees.   The marketer can then give a thumbs up or down to each proposed account.

During active learning, sparks can be added, dismissed, or decision postponed, allowing the platform to adjust the model.
During active learning, sparks can be added, dismissed, or decision postponed, allowing the platform to adjust the model.

As output, the platform provides a set of “sparks” which are high probability accounts or contacts.  The user sets the number of sparks displayed in a spark list.  Qualified prospects can be sent to a CRM as accounts or leads.

The French dataset covers three million firms and two million contacts.  The UK universe provides 200,000 companies and 300,000 contacts.  The UK dataset focuses on large companies with sales triggers.

The French file includes 600,000 emails while the UK file supports 100,000 emails.

The firm claims that Predict increases the opportunity conversion rate by 70% and shortens the sales cycle by 30%.

Sparklane employs sixty headcount in Paris, London, and Nantes.  It invests over 20% of its turnover in R&D and has nearly 200 customers in Europe.

Openprise Data Market

Openprise launched a Data Marketplace to assist with ingesting and normalizing third-party B2B and B2C data. Amongst the platforms supported are Salesforce, Marketo, Eloqua, and Pardot. The Data Marketplace, part of the Openprise Data Orchestration platform, includes built-in rules to ensure data is properly onboarded. Users can set primary, secondary, and tertiary providers with multi-vendor data normalization rules.

“We’re excited to make ZoomInfo’s 210 million businesspeople and 11 million businesses available on the Openprise Data Marketplace,” said Phil Garlick, VP Corporate Development at ZoomInfo. “Openprise’s data cleansing and unification capabilities, combined with ZoomInfo’s data accuracy, provides marketing and sales teams with an unparalleled solution to run more effective campaigns.”

Other B2B Partners include InsideView, Orb Intelligence, Synthio (FKA Social123), and Dun & Bradstreet. Additional vendors are in the final certification stages. Openprise claims that new data providers can be setup in minutes.

Customers can extend pre-existing vendor contracts or take advantage of pre-negotiated discounts.

“Earlier this year, we surveyed 175 marketing professionals to identify data marketplace trends and published our findings in the B2B Data Market Industry Report,” said CEO Ed King. “We found that companies that worked with multiple data providers were much more likely to be satisfied with their third-party data, but those same companies expressed how much they struggled with pulling multiple providers’ data into their marketing and sales system of record while maintaining a consistent set of standards. Openprise Data Marketplaces solves this problem.”

Openprise polled marketers on which B2B data providers they have deployed. Source: "B2B Data Market Industry Report: 2017"
Openprise polled marketers on which B2B data providers they have deployed. Source: “B2B Data Market Industry Report: 2017”

The B2B Data Market Industry Report also asked which vendors were being deployed. The survey of 175 B2B marketers at firms with at least 200 employees found the top three vendors were Zoominfo (40%), InfoUSA (36%), and Data.com (35%). Surprisingly Sales Genie matched D&B/Hoovers amongst all of the surveyed marketers and exceeded it amongst enterprises.  InfoUSA rates were likely higher than the other firms as it offers both business and consumer data while Dun & Bradstreet/Hoovers and many of the other vendors offer strictly B2B data.

The most common use case for B2B data vendors is identifying additional contacts at target companies (62%). Marketers also looked to B2B companies to identify additional target accounts (52%) and append missing fields (50%). Only 37% were looking to B2B data vendors to cleanse their database.

The survey participants were well distributed across B2B industries with an over weighting to advertising / marketing.

Unomy Acquired by WeWork

Unomy B2B Prospecting spans 6M companies and 50M contacts.
Unomy supports both B2B company and contact prospecting

I was going to address the Unomy acquisition yesterday, but DiscoverOrg acquired RainKing so Unomy was bumped to today.  This is the fourth deal in the news this week (Moody’s acquisition of Bureau van Dijk closed at the beginning of the month and Zoominfo was acquired by PE company Great Hill Partners.

The WeWork acquisition of Unomy is an out of left field deal.  WeWork has been using Unomy for the past year to assist with their sales process.  The firm is looking to integrate Unomy into its workflows to improve both close rates and pipeline velocity for their co-working offices.  WeWork views Unomy as a key dataset for expanding enterprise sales.  While the firm provides office space for companies of all sizes, they would like to expand enterprise sales beyond 30% of their monthly revenue and 20% of their membership.

“Their B2B intelligence layer will be able to help us enrich our data sets when we’re driving sales in the enterprise market,” said WeWork SVP for Digital Product Ron Gura.

For WeWork, Unomy’s platform will become the backbone of our growing internal sales platform. The Unomy software will be integrated into WeWork’s current systems and the Unomy team – now part of our Sales & Marketing and Digital Products groups – will work with our enterprise sales team to help them go to market most effectively and improve their targeting capabilities, conversion rates, and productivity. More broadly, the Unomy team will also help streamline sales processes, build robust sales intelligence infrastructure, and close member prospects for our enterprise and regional sales teams around the world.

  • Ron Gura, WeWork SVP for Digital Product

WeWork will be retaining Unomy’s staff of twenty which will operate out of a Tel Aviv office.

WeWork did not indicate whether Unomy would be available to their tenants as a free or discounted service.  WeWork offers a services store to its tenants with over forty sales and marketing partners.  Amongst the firms with partnership discounts are Salesforce, CrunchBase, and RelPro.  However, WeWork does not plan on continuing the commercial product and will phase out the Unomy service, helping to transfer clients to other sales intelligence solutions.

Unomy’s database covers 17 million global companies and over 100 million executives.

Oceanos Data Services

Oceanos began as a list broker back in 2002, but has since evolved into a B2B contact aggregator and data refinery.  The firm aggregates 97 million active US contact records and retains millions of inactive names and emails to assist with hygiene.  Data is aggregated from eleven 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.

Oceanos is self-funded and based in Marshfield, MA.  Annual revenue is around $5 million and is derived from data hygiene services, contact matching, and API-based data licensing.

Each record is assigned a data quality score based upon eleven signals including dead email addresses, drops between files, email naming conventions, and social data verification.  Thus, customers and partners can employ data quality score cutoffs when licensing data.  Data quality scores are also employed as part of a free Data Health Check for customers.

Contacts are mapped to 12 Job Functions, 109 Sub-functions, and 7 Job Levels.  Granularity to the sub-function level assists with strategic targeting.  For example, marketing is mapped to 18 job functions including brand, corporate communications, events, public relations, search engine, and social media.

The Data Health Check report does not directly validate emails and other fields, but employs the Data Quality Scores to provide an overall Data Quality Score and a data accuracy histogram.  The service also provides proposed before and after fill rates across twenty biographic and firmographic variables including address fields, direct and corporate phone, employees, revenue, industry, and major social handles.  The final element of the Data Health Check report is a set of segmentation charts by job level, function, specialty, domain extension, industry, sizing variables, and country.

At the end of the report, there is a data health recommendation where they contrast their Account Based Marketing approach to traditional database augmentation services:

With 0ther health checks, this is the section where they tell you that they have a plethora of contacts for you to purchase, all matching your data profile.  First, the point of this analysis is not to assume that the accounts and contacts currently in your database represent the optimal mix.  In many cases the results demonstrate that there is a percent of bad and misaligned data.  Second, it’s important to note that this is not a quantity game.  In fact the more-the-merrier mindset is the root of many database problems.

We recommend a three step process to effectively cleanse, complete, and grow your database.  This is the ideal approach, but we understand that timing and budget do not always permit the perfect solution.  That being the case, we suggest a conversation to review the health check results and to determine the best prescription based on your needs and goals.

The Cleanse and Complete stages purge bad data, standardize and validate data, and enrich the client’s database.  Cleansing processes the file against FreshAddress, Clickback, internal tables, Whitepages, Pipl and FullContact.  Only once the current data quality issues are addressed does the firm recommend a Contact Gap Analysis for populating accounts with missing strategic contacts.  The analysis also identifies the percentage of contacts that match the target audience criteria (Ideal Customer Profile).  Oceanos contends that best-in-class firms have at least 70% of contacts within their target audience.

House vs. Greenfield Analysis compares target audience coverage for company files vs. Oceanos.
House vs. Greenfield Analysis compares target audience coverage for company files vs. Oceanos.

The Contact Gap Analysis also provides a greenfield (net-new contact analysis) by job function and sub-function and an analysis of Total Addressable Market (TAM) coverage between House and Greenfield contacts.

Integration services include a partner API, used by ReachForce, Engagio, and Integrate, and MAP connectors for Marketo and Eloqua Cleanse and Append

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.  “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.”