RevenueBase Launched (Part II)

Continuing from yesterday

A sample RevenueBase ICP built during the initial discovery workshop (additional sections include personas and technology).

Instead of building the ICP on commonly available firmographic variables, the ICP is customer service based and defined through the discovery process.  A bespoke taxonomy is created that applies custom tags by persona, industry, size, etc.

“We want to align your database with your go-to-market strategy,” Feldman told GZ Consulting.

RevenueBase promises to “replace all of your data vendors with one solution” that “reaches every company and decision-maker across the globe that will benefit from your unique offering.”  By delivering high-quality, targeted data, revenue teams can shift from managing databases and researching prospects to creating campaigns and focusing on selling.

RevenueBase employs AI for aggregating and integrating its multi-sourced data with the AI building a quality hierarchy for selecting which field to accept when vendors disagree on a value.  The research team assists the AI modeling by collecting training data.

Data quality steps include custom research, quarterly email re-verification, and annual phone checks.  Data is delivered via a quarterly secure CSV file transfer with a 90% accuracy SLA.

Content includes standard firmographics, mined and licensed business descriptions, sizing ranges, industry codes (SIC, NAICS, and custom), contact information, and technographics.  Funding data includes total funding, most recent round amount, and most recent round date.  While full family trees are not available, locations are tied to parent companies.

Contact data includes mobile numbers, direct numbers, LinkedIn URLs, tenure at current job, work addresses, and mapped persona.

RevenueBase has already aggregated 700 million business contacts and 100 million companies, providing it with one of the most extensive sets of contacts in the industry.

RevenueBase combines firmographics, technographics, and custom data insights collected by its research team.

Intent data and sales triggers are not currently available.

RevenueBase provides opt-out notifications to its customers, letting them know when an individual has opted out of their database or the database of one of their contributing vendors.  It also suppresses California mobile numbers in support of CCPA.

RevenueBase is off to a strong start.  Since soft launching the service in October, they have generated $800,000 in revenue and have a $500,000 ARR.  Early success has allowed it to launch the service without accepting outside funding. 

The firm is still in the early stages of development.  It has focused on building its content aggregation model, custom research, and customer service/discovery model based upon Feldman’s experience as both a B2B marketer and data industry executive.  As such, RevenueBase has an advanced DaaS vision but does not yet have APIs and connectors for data delivery.  However, it has a unique approach that is gaining early market traction.  Initial customers include Siemens, PTC, Localytics, SolidWorks, and CB Insights.

RevenueBase is sold as a flat-rate subscription service between $50,000 and $100,000 per annum.  Additional fees are applied for custom research. RevenueBase is headquartered in Boston.

RevenueBase Launched

RevenueBase, which describes itself as a Revenue Database as a Service (RDaaS), formally launched on Tuesday as a “one-stop data solution” that recognizes data as a “strategic asset for a business.” 

According to 2016 research by SiriusDecisions, marketing databases are riddled with critical errors with bad data ranging from ten to twenty-five percent of records.  SiriusDecisions noted that the firms with higher data quality have shifted from periodic data cleansing projects with discrete completion dates to data maintenance processes with “ongoing policies and procedures to maintain data quality.”

RevenueBase was founded by industry veteran Mark Feldman, the VP of Marketing at NetProspex prior to its acquisition by Dun & Bradstreet.  As a marketing head at Backupify, Motion Recruitment, and Localytics, Feldman became frustrated with B2B data issues, including misalignment with the sales and marketing team’s go-to-market strategy, data decay, difficulty acquiring data, and managing disparate vendors and formats.  His stint as a B2B data customer led him to return to the B2B data space and create an RDaaS company that broadly aggregates company, contact, and technographic data that aligns 1:1 with customers’ go-to-market strategies.  It then builds a custom database for clients that it calls a Revenue Database, which is updated on an ongoing basis.

“When I was hired to run growth operations at Localytics, a web and mobile app analytics company, my first directive from the CEO was to put together a list of target accounts to assign to our new enterprise account executives. It was my first week and my reputation was on the line. I started by going to our data vendor and asking them to help me build a list of all of the companies in the world that were focused on mobile monetization strategies across millions of monthly active users. Seems like a slam dunk, right? Nope.

My list for Localytics was full of bad data. There was no way to confirm the companies listed had the mobile monetization opportunities that our software could solve, or that mobile monetization opportunities would be high up on their list of priorities. I quickly realized that, in the B2B world, not all data is created equal. Right then and there, I saw an opportunity to change the B2B data game by solving the major growth impediment challenges facing revenue leaders—acquiring, integrating and maintaining the quality of their data—by building the world’s first Revenue Database as a Service.”

RevenueBase CEO Mark Feldman

“Like so many B2B marketers, I was frustrated with the inadequacies of traditional list providers,” wrote Feldman.  “I saw an opportunity to revolutionize the B2B data game and solve the greatest challenges facing revenue leaders today. Our all-in-one Revenue Database as a Service solution provides next-level data quality, expediency, and accuracy.  We transform your data stack from a constant struggle into your greatest asset.”

RevenueBase takes a white-glove approach to serve its customers.  Revenue Archetypes are defined during customer workshops and consist of an ICP, market segmentation, pains addressed, buyer personas, sales showstoppers, and “jobs to be done.”  The Jobs-to-be-Done descriptor is a bit misleading as it is account, not persona-based.  Jobs-to-be-Done describes the core functional “job” that an organization is trying to accomplish.

Personas cover function, level, titles, buying unit members, demographics, behavior patterns, motivations, and goals.

RevenueBase then builds a revenue database for its clients and supplements it with custom data collected by its overseas team of fifty editorial researchers.

“A revenue archetype is a model of what your ideal customer looks like, i.e., one you can derive revenue from,” said Feldman.  “It’s where there is a mutual benefit.  They need your product/service and will pay a fair price for it.  They also will favor you over the competition because your solution will result in the best cost-benefit tradeoff for the customer.“

Conversely, the Revenue Archetype also defines companies that are not good fits (e.g., industries or geographies that require a standard not met by a firm’s offerings, such as HIPAA or GDPR).  It also identifies roles not involved in purchasing a company’s products or services.  These individuals may be too junior in the organization or not work in functions that use a company’s products or services.


Coverage continues with a discussion of RevenueBase’s ICP modeling and database.

Vainu Workflow Triggers

Sales Intelligence vendor Vainu has added a set of Workflow Triggers that take automated actions based upon CRM data updates.  As Vainu enriches CRMs with financial data mined from European registered data filings, it has raw, current data for triggering activities.  Admins set up the trigger rules, and Vainu creates “smart actions” such as creating CRM Tasks, adding a row in Google Sheets, or sending a Slack notice.

For example, a Workflow Trigger may be set up to look for SaaS companies that meet the “Rule of 40” condition (revenue growth plus profitability margin).

Vainu CEO Mikko Honkanen notes that trigger rules and ratios will vary by industry and may include custom rules specific to each of Vainu’s customers.  Thus, the Rule of 40 “is typical of the software industry but isn’t that critical for other businesses.  For being truly data-driven, each company has its own magic numbers based on the data points of their interest.”

Vainu claims that it supports thousands of data points for triggered workflows, kicking off both sales notifications and custom marketing messages associated with each trigger.

“Some people might want to know when a company starts using lead capture forms on its website.  Someone else might want to be alerted as soon as a company adds a new environmental standard to their corporate social responsibility web page.  Or when a company appoints a new CEO. Or when it adds an auxiliary name that includes the word ‘restaurant’ in it.  The most valuable trigger event is often a change in that specific event.”

Vainu CEO Mikko Honkanen

Along with data changes, actions may be based upon any of seventy event triggers or new accounts meeting ICP criteria.

Vainu, headquartered in Helsinki, emphasizes the value of dynamic data fed into enterprise platforms.  Dynamic data ensures that decision-making is based upon timely and accurate data.  It also allows salespeople to be customer-centric.

“By having access to data that informs them of the current situation of an organization, as well as what recent changes the organization has undergone, salespeople are able to tailor their messaging and offer a personalized experience,” blogged Vainu marketer Nikolai Bang. Vainu covers nearly thirty million companies across Scandinavia, the Netherlands, France, and the United Kingdom.  Triggers are based upon the licensed countries.

Vainu Sales Triggers support automated Workflows.

GrowFlare Doubles Coverage

GrowFlare, which I profiled a few weeks ago, doubled its coverage of US active companies to 250,000.  While a few additional large firms were included, the bulk of the growth was at the SMB end of the market.  GrowFlare nearly doubled the number of companies with $10 million to $50 Million, bringing that set to 50,000.  The coverage of firms with less than $10 million in revenue quadrupled to 170,000 SMBs.  Profiles include firmographics and psychographics, the common phrases that firms use to describe themselves and their markets.

GrowFlare employs a Fit Score, which is the level of similarity between a company and one or multiple companies provided to GrowFlare.  When the new set of companies was added, they were immediately included in the Active Lists (dynamic company lists of prospects) as Alerts.  The new companies are also available for prospecting and research via a Chrome extension.

“We’re continuing to grow organically and invest 100% of revenue into the platform,” wrote CEO Matt Belkin.

Upcoming GrowFlare development is focused on expanded partnerships.  GrowFlare is looking to add contacts from vendors such as InsideView and deepen its integrations with HubSpot and Salesforce.

GrowFlare V2.0 (Part II)

Continuing my profile of GrowFlare (Part I)…

While many companies offer keyword searching, it is usually against a mined business description.  Only a few products, such as D&B Hoover’s Conceptual Searching, provide broader topical searching to build company lists.

GrowFlare includes a free Chrome extension that “overlays the power of prospector right over the website,” HubSpot, or Salesforce.  “This is invaluable for anyone from an SDR to an executive that wants a quick ten-second snapshot of a company before engaging,” said Belkin.  The Chrome connector detects the account, displays firmographics, trending topics, psychographics, and Next Best Prospect.

Prospector Bulk and GoldMiner support HubSpot append and enrichment, including Fit Scores.  Salesforce support is a roadmap item.  Belkin said that HubSpot support was a “strategic decision because HubSpot is more readily accessible, cheaper to develop for, more startup-focused, and we can build adoption faster.”

The user interface is clean and well laid out, with the ability to quickly sort prospecting tables and view additional details.  The company universe is limited to 130,000 US companies with ten or more employees “that have meaningful purchasing power.” Thus, GrowFlare is best suited for US account based marketers and strategic teams.  However, the service is still in its early stages of development.  It does not offer any contacts, and the firmographic intelligence, beyond the psychographics and trends, is limited.  There are some novel ideas and tools in this service, many of which are not found in more mature ICP offerings from the established players (e.g. DiscoverOrg AccountView, InsideView Apex, D&B DataVision).  These ICP / TAM tools were built for the marketing department, while GrowFlare is looking to serve both the sales and marketing departments with some competitive intelligence functionality as well.

GrowFlare is a freemium offering, with three free prospects provided with each search.  The Basic offering is priced at $2,950 per annum and includes ten prospects per list.  Growth offers 25 prospects per list for $4,950, and Unlimited offers the maximum number of relevant prospects per list for $9,950.  The paid offerings all include all of the features discussed in this profile along with 24/7 support.

The 2.0 release has helped the firm gain traction in the marketplace with revenue up 600% monthly (on a small base).  The average deal size is greater than $10,000. Upcoming GrowFlare development is focused on expanded partnerships.  GrowFlare is looking to add contacts from vendors such as InsideView and deepen its integrations with HubSpot and Salesforce.

GrowFlare V2.0

GrowFlare rolled out version 2.0 of its sales and marketing intelligence solution.  Enhancements include a revised Prospector tool for similar company searching, a Chrome connector for quick profiling and prospecting against a company website, HubSpot CRM imports, keyword searching, and customer fit scoring for HubSpot.

The enhanced Prospector tool identifies 100 companies similar to a target company based on psychographics, which are the common phrases and interests companies share.  This approach differs from most vendors that employ firmographics and technographics in their Ideal Customer Profile (ICP) modeling.  For the target company, the trending topics are displayed as a spider chart with new topics called out.  Reps can drill on trending topics to see an example from the firm.  Topical analysis is derived from websites, social media, government filings, and job listings.

When users click on a trending psychographic, they are presented with in-context examples of the phrasing with the term highlighted.  The trending topics and psychographics are “invaluable for marketing and sales personalization,” said Founder & CEO Matt Belkin.

The similar companies New Prospects list includes a Fit Score, which gauges the level of similarity to the target company along with the shared psychographics.  So if a rep just closed a deal at the target, he or she can be confident that the high fit scores are similar in their market positioning.  Fit Scores are exportable to lead scoring models.  A quick view magnifying glass icon displays the trending topics for any of the prospects.

Below the Prospects list are additional graphics and analytics, including a shared psychographics word cloud, top 10 shared psychographics, locations of the prospects, and sizing ranges (employee and revenue).  As these analytics are based on the prospecting list, they assist with campaign messaging.

Searches are auto-saved to Active Lists, which identify new prospects.  Company profiles are scanned and rebuilt each week with companies compared and ranked within the list.

“NEW means they are new to the list and is usually a great signal to reach out [to] now because something strategic has changed with that prospect, bringing them closer to your ICP.  Your window of opportunity is now,” said Belkin.  “For example, they launched a new campaign, rebranding, business model shift, product launch, leadership change, etc. – all of these can cause this change.”

Any Keyword Search or Prospector Active List is automatically setup for alerts, whereby GrowFlare notifies the customer each week of meaningful changes and new prospect opportunities.  When viewed, the table of new prospects includes a Trend score, which is the change in rank position from the prior week.  An Active List focused on competitors will notify sales and marketing when competitor positioning shifts.  This tool would also be valuable for competitive intelligence analysts and business development reps looking to track a narrow universe of competitors or partners.

GrowFlare recommends that firms run Prospector against themselves to see “where your messaging shines” as well as competitors to understand their current positioning.

”Everywhere you look sales and marketing teams are wasting millions of dollars trying to acquire the wrong customers and saying the wrong things.  It’s crazy and the whole approach is broken.  We started GrowFlare to fix it.  You already know your best customers, GrowFlare helps you find 100 more just like them based on their shared interests.  It’s easy to see how focusing on what buyers care about – their psychographics – is far more effective when marketing and selling to them.  It sounds fancy, but it’s the same magic that powers recommendations for Amazon, Netflix, and Spotify in the consumer world.  We just built it for B2B.”

­GrowFlare CEO Matt Belkin

The Prospector Bulk feature is similar to Prospector but executes against a full customer list.  According to Belkin, “The resulting output averages between 25x-100x more high-fit prospects that sales and marketing teams can target with account-based outbound campaigns.”

GoldMiner CRM compares a customer list against open CRM leads and opportunities.  CRM accounts may be uploaded from HubSpot or entered as a domain list. 

The results are similar to Prospector, with GoldMiner listing the best prospects based upon Fit Score and the best reference customer.  GoldMiner also displays

  • The most valuable reference customers – Which accounts are the top referenced customers for the prospect list
  • Match rates
  • CRM Growth Multiplier – The CRM Growth Multiplier compares the number of high priority prospects in the prospect list to the number of customers in the CRM.
  • CRM Efficiency – The number of CRM high-priority prospects versus the total leads in your CRM.  CRM efficiency indicates the percentage of high value accounts in the CRM vs. weak fit accounts as determined by GrowFlare.

Belkin suggests that the new leads list should be run through GoldMiner “every day or week” as “this can be very valuable in quickly prioritizing third-party list buys, webinar lists, partner lists, technographic lists, and much more.”


Part II of my GrowFlare coverage continues tomorrow with a discussion of Keyword Searching, the Chrome Extension, and pricing.

Zoominfo Health Scan Analysis

Zoominfo, which is readying to IPO, launched a Health Scan Analysis to help firms identify “key segments for opportunities” within their Total Addressable Market (TAM).  The service identifies targetable market segments that are less impacted by COVID along with which segments to avoid.  Firms can then “quickly pivot their go-to-market strategy and focus their efforts on worthwhile prospects ready to buy.”

The Health Scan begins with a consultation where customers share details about their pipeline and business challenges.  Zoominfo’s data solutions team then analyzes the company’s pipeline and win-rate trends before and during the downturn.  The analysis includes “benchmarks to pinpoint where any pipeline degradation may have occurred.”

The Data Solutions team conducts a market assessment that identifies opportunities and sizes their TAM.  The report also includes a market segmentation analysis and a “hand-selected list” of targets from Zoominfo’s database of companies and contacts.

“Recognizing that current market conditions are extraordinarily challenging, it’s more important than ever to ensure that our customers are generating high-quality contacts for their pipeline.  We discovered valuable takeaways when examining our own position in this same manner.  As a result, we’re offering our clients these data-driven insights on how to optimize their go-to-market strategies so they can continue to hit their numbers and thrive in a changing market.”

ZoomInfo CEO Henry Schuck

From the initial interview through report delivery [Sample PDF], Zoominfo promises a five business-day turnaround.

Zoominfo is not the only firm that provides pipeline analyses. Dun & Bradstreet offers a similar analytics service which combines firmographics with industry risk data and InsideView offers Apex.

D&B: Pipeline Health Analysis for Risk Reduction and Targeting Ideal Customers

Dun & Bradstreet, which has been running pipeline health analyses for its clients over the past three weeks, assessed over 35 million accounts across 125 pipelines.  They found that 21% of accounts were subject to high financial risk based on several factors: slow payment, bankruptcy, unpaid debt, and business viability, a statistic which VP of Product Marketing, Dun & Bradstreet Sales & Marketing Solutions Dennis Olcay called “jarring:”

“We continue to keep a close eye on this number, but that is a jarring statistic that demands attention as it relates to go-to-market strategies,” wrote Olcay.

“The dominant theme of our customer conversations today is how to be both sensitive and impactful in the new environment.  We have found the new environment has unleashed entirely new forms of sales and marketing campaigns – far less driven by self-positioning and more characterized by seeking to meet customers where they are.”

Digital Marketing Solutions CRO Michael McCarroll

Dun & Bradstreet offered a high-level risk segmentation based upon SIC codes and each industry’s risk profile (see chart on the right).  Industries were stratified across five categories: Essential businesses (e.g. food supply, hospitals), Supports Remote (i.e. businesses which were able to transition to WFH), requires contact (e.g. hospitality, entertainment), delivery-based retail (e-commerce, e-delivery, logistics), and central production (e.g. manufacturing, natural resource extraction). 

Dun & Bradstreet cautions that simple SIC analysis is only the first pass in performing a risk assessment.  Firms may be in the same industry but have different go-to-market and operational strategies that impact their risk profile.  Another factor is their exposure to supply chain and customer risk.

“Despite the promise of MarTech to enable speed and scale for your go-to-market strategy, this is a time to hit the pause button and rethink your go-to-market approach,” cautioned Olcay.  “Don’t sacrifice tailored messaging for the sake of scale and speed to market – the additional thought you put in now to think about fit, intent, and risk will pay dividends when your audiences notice you’re empathizing with them and offering real value that aligns to the specific challenges they are experiencing.”

And Dun & Bradstreet isn’t the only firm that is promoting pipeline analyses for its clients. Zoominfo is offering a similar service which I will cover in my next blog. If you don’t know where to find revenue in June and Q3, a pipeline analysis is an excellent place to start.

Dun & Bradstreet and DueDil (UK) are offering industry barometers to help refine your targeting. Vertical IQ is offering industry-specific pandemic analysis as part of its industry overviews. Experian is providing a regional and industry analysis by risk level.

And on the marketing side, HubSpot has been publishing weekly marketing metrics for their 70,000 customers. Data includes deal open rates, deal close rates, email prospecting, site visit rates etc. Users can even drill down by segment and country to benchmark their sales and marketing performance against peers. The most recent analysis is for the week of May 18.

6Sense Round C

Account Based Orchestration platform 6Sense closed a $40 million Series C round with growth equity firm Insight Partners, raising its total funding to $105 million.  Previous investors include Salesforce Ventures, Venrock, Battery Ventures, and Bain Capital Ventures.  The market cap was not disclosed.

6Sense doubled its revenue in both 2018 and 2019.  Last year, it added Box, Cisco, Dell, Zendesk, Sumo Logic, NetApp, Domo, Motorola, Cumulus, Symantec, and Tableau to its list of named customers.

“As a startup, a company can sell via personal relationships and word of mouth.  In the scaleup growth phase, the equivalent is Account-Based Marketing and Sales,” said Jeff Lieberman, Managing Director at Insight Partners.  “After an exhaustive review process, we were blown away by the data-focused sophistication of 6sense’s technology and firmly believe it is the best solution for B2B companies who need to scale their go-to-market efficiency and grow revenue.  The company’s account-based solution should be a core part of every scaleup company’s growth strategy.  We’re excited to invest in 6sense as the market-leading solution.”

“An investment is a sign that we’ve done something over the past 2 ½ years,” said 6Sense CEO Jason Zintak.  “Investing is confidence, and it’s just so incredibly humbling that we as a team, as a company, have gotten to the point where people want to trust us and hand over money.”

Zintak attributed the firm’s success to the belief that AI and Big Data are at the core of the MarTech stack:

Our strategy has always been to lead in those areas, specifically 6sense’s ability to

    – Process large amounts of data and deliver actionable insights
   – Segment micro-audiences based on these data insights
   – Uncover anonymous buyer intent and identify accounts
   – Predict which accounts are an Ideal Customer fit, and when they are “in market,” allowing organizations to focus engagement on accounts most likely to buy

6sense has evolved from delivering predictive scores to providing customers with a robust Account-Based platform for the entire revenue operations team.

6Sense CEO Jason Zintak

The investment will be dedicated to accelerating its product roadmap, “both organically and inorganically.”  Zintak listed three roadmap objectives:

  1. Improved orchestration, which moves from rules-based engagement to “true AI-based orchestration of tactics.”
  2. Expanding intent and predictive data use cases beyond email to include website personalization, content experiences, advertising, conversational marketing, etc.
  3. Delivering insights to all revenue operations functions, including marketing and customer success.

The firm lists 37 open positions across customer success, engineering, data science, administrative, marketing, sales, and product.  6Sense has shown steady employment growth over the past two years.  Roughly half of the employees are in revenue generation roles (Sales, Support, Marketing, and Business Development).

“Our mission is to tackle the biggest challenges facing B2B sellers and marketers by helping brands reach the right accounts for their business at the right time, through the right channels, and with truly engaging experiences,” said Zintak.  “Our company growth has been fueled by the success of our customers, and our Series C funding will enable 6sense to further invest in AI-driven orchestration capabilities to help companies of all sizes build and scale account-based programs, uncover new opportunities, and efficiently create pipeline and revenue.”

6Sense competitors include Everstring, Demandbase, LeadSpace, and Lattice Engines (Dun & Bradstreet).

LeadSpace Fall Release

LeadSpace rolled out its Customer Data Platform (CPD) fall release with improved processing of first-party data, enhancements to their Salesforce app, and refinements to their Ideal Customer Profile (ICP) modeling.  Automated ingestion of first-party data and custom data sources deliver unified customer profiles “for use across systems.”  Automated data onboarding assists with AI modeling, scoring and analytics, and enterprise software activation.

“Customers can use data on engagement, product use, relationship, and other information unique to their business to power real-time orchestration of activities and processes,” stated the firm.  “Decisions about how to route leads, assign nurture programs, segment for campaigns, and personalize interactions can now be made with all the intelligence of the CDP and a complete customer view.”

The fall release also supports data hygiene with the sunsetting of Data.com Clean in mid-2020.  Both real-time and on-demand matching and enrichment are supported.  Triggers automatically identify new or updated records and automatically look to match them against the LeadSpace CDP.  At the end of the year, a sync button will be displayed within individual records.

“Getting a complete view of the customer is critical to improving the customer experience for B2B.  Buyers no longer tolerate generic and impersonal content and interactions.  Our Customer Data Platform gives B2B marketers a real path to being able to orchestrate the ideal customer experience at scale.  Improving the ability to ingest 1st party data makes that even more powerful because it is unique to each of our client’s journey with their customers.”

LeadSpace CEO Doug Bewsher

Enhanced ICP Analytics help select the right accounts and personas for ABM targeting.  Interactive, filterable reports display account, contact, and intent data matched against conversion and revenue data to “uncover which categories and segments have performed well historically.”  

LeadSpace On-Demand look-a-like segment building now supports company suppression.

LeadSpace customers include Microsoft, HPE, SAP, Iron Mountain, IBM, and Symantec.