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.

SalesTech Spend Continues to Increase

SalesTech adoption rates and spend continue to increase according to a recent SalesTech study of 268 B2B sales and marketing managers conducted by Smart Selling Tools.  Only 3% of respondents are planning on reducing their SalesTech spend in 2020 while 6% plan to spend significantly more in 2020 and 41% slightly more.  Expanded spending will be focused on the top and middle of the funnel followed by management and reporting.  Skills Development, Onboarding, and Bottom of the Funnel expenditures have a lower priority.

Over the past year, SalesTech spend per user has increased significantly.  In 2017, only one-third of respondents spent in excess of $150 per user, but two years later, 65% spend more than $150 per user.  As the average number of sales tools in use rose only modestly from 4.5 to 4.9 over the past two years, the spend per product has likely increased.  The number of applications that are used by a majority of respondents trebled to six (CRM, Online Meetings, Lead List/Database, Social Selling, Account Targeting, and Skills Training & Reinforcement) with an additional four at 47% or higher.  CRMs are used by 75% of respondents, lead/list databases by 65%, and social selling by 60%.  The one category that dropped in usage was online meetings.

Adoption rates of technologies were fairly even by company size with large firm (500+) employees more likely to have adopted Sales Enablement, Skills Training & Reinforcement, and Sales Performance & Compensation.  Conversely, firms with fewer than 500 employees were more likely to have adopted Prospect Engagement (Sales Engagement) solutions.

Account targeting tools for ideal customer prospecting grew from 4% to 51% over the past year, a clear indication that ABM strategies have been adopted.  Lead Engagement (communicating at scale with early-stage, unqualified leads) grew from 11% to 49%, while social selling grew from 10% to 60%.

“The significant increase in usage of sales tools across the board indicates a trend (likely irreversible).  If your organization is slow to take up the use of sales tools, you could get left behind. Even so, we don’t recommend adding new sales tools without considering what’s required to keep them up to date and who will be responsible, having a plan for measuring success (what does “Good” look like?), and deciding what’s required to establish and grow user adoption.”

Smart Selling Tools founder Nancy Nardin.

The top three industries represented in the study were technology (42%), Financial Services (9.3%), and Manufacturing (8.7%).

Cognism Series B

Cognism logo

Sales Acceleration Platform Cognism closed on a $10 million Series B from PeakSpan, bringing total funding to $16.5 million.  Previous investors included Oliver Wyman, South Central Ventures, LCIF, and Newable Ventures Limited.  The firm, founded in 2016, grew ARR over 4x last year.  

The funds will be deployed for opening local offices in Singapore and New York City as well as growing its machine learning team.  According to CEO James Isilay, the firm has already “won significant business remotely” in both regions.

Isilay called Asian expansion “particularly interesting” due to SaaS being relatively young in the market.  Cognism has already leveraged its partnership with investor Oliver Wyman to acquire two “blue-chip financial clients” in Asia.  “Investment here looks to be a promising tonic to the barriers to trade growth that are disrupting business in Europe and America.”

“Having been granted our first machine learning patent in December 2018, Cognism is now building a portfolio of IP which will drive the next evolution of sales and marketing technology,” said Isilay.

“Sales and marketing technology has been a core focus of ours for many years, arming us with a long-term perspective on the segment and a nuanced understanding of market trends and buyer dynamics that drive strategic value.  With such a proliferation of tools and technologies emerging across the marketing and sales landscape over the last decade, it’s no secret that go-to-market leaders today aren’t asking for more software tools – they’re demanding better outcomes.  Cognism’s pragmatic application of AI, which underpins the whole solution suite, is paving the way for a new category focused on turning disparate data points into coordinated insights to drive predictive and prescriptive lead generation and improve conversion across all engagements.”

▪ Matt Melymuka, Co-Founder and Partner at PeakSpan

The Cognism database spans 400 million contacts and 10 million businesses.  Cognism’s products support Prospecting, Sales Triggers, and CRM Enrichments.   CRM Connectors are available for Salesforce, Microsoft Dynamics, HubSpot, and PipeDrive.  A cadence tool sends templated emails through Gmail and Outlook.  

Marketing Features include A/B testing, Personas, ICP and TAM Analyses, and webform enrichment.

Cognism for Salesforce supports lead prospecting, contact enrichment, and ongoing data maintenance.

TechTarget Priority Engine Adds KickFire Visitor Intelligence

TechTarget Benefits
TechTarget Benefits

TechTarget Priority Engine has begun integrating first-party intent data with its proprietary third-party intent intelligence.  First-party intent data enhances account rankings and insights.  According to TechTarget, “Marketing and sales teams will now be able to leverage this new intelligence to get to the right accounts and prospects faster, increasing conversions and accelerating pipeline.”

Priority Engine launched three years ago with TechTarget’s firmographics and third-party intent derived from its 140 enterprise technology media sites.  The new data includes Ideal Customer Profile (ICP) matching, vendor website engagement, and customer content and advertising across the TechTarget network.

First-party website intent is available through a partnership with KickFire.

New account intelligence and tools include

  • Personalized account rankings based on first and third-party intent data
  • ICP definition and filtering
  • Enhanced qualification intelligence including buying stage, ICP match, and confirmed projects
  • Improved engagement signals such as account website visits, content downloads, and banner clicks
  • Recent activity indicators.

“TechTarget has always focused on delivering ROI,” said Michael Cotoia, CEO, TechTarget.  “These new updates now make it even easier for our customers to close deals faster by helping them find the prospects that are directly in their sweet spot.”

Other recent product enhancements include opted-in “Project Insiders” and “Confirmed Project Details” that have been validated by project insiders.

Priority Engine has been deployed at over 400 customers including Oracle, Citrix, IBM, HPE, and AWS.

Quora: Once your ideal client profile is established, how do you find the company’s decision maker and how to reach out to that person?

Your ideal customer profile (ICP) defines who are your best customers and prospects. It is defined by firmographics, intent data, technographics, business signals, etc. ICPs are focused on Accounts.

Your question implies that the firm has a single decision maker. But that is generally only the case at small firms. Generally, B2B mid-sized and larger procurement decisions are made by a buying team which can consist of multiple individuals at different levels and functions / departments. For these, you should define a set of personas that cover economic decision makers, users, influencers, reviewers (e.g. technology gatekeepers).

Many of the ICP vendors support contact searching for ABM accounts. Once the ABM list is defined, they allow users to prospect for contacts by persona (job function/level/title) at ABM accounts.

I discussed this process broadly on DealSignal’s blog and on my blog.

Products which support both ICP definition and persona searching against ABM lists include (alphabetical list):

  1. Cognism
  2. D&B Datavision
  3. DealSignal Total Audience Platform
  4. DiscoverOrg AccountView
  5. InsideView Apex
  6. SparkLane Predict (UK and France)
  7. Zoominfo Growth Acceleration Platform

These vendors include emails and direct dials for contacts along with company profiles, sales triggers, financials, technographics, family trees, filings, etc.

While LinkedIn Sales Navigator does not offer an ICP tool, it includes a Buyer’s Circle which allow sales reps to quickly identify potential contacts at accounts and drag and drop them into their role. They can then review all open opportunities, including buying committees, via a single-pane Deal report which combines LinkedIn intelligence with Salesforce or MS Dynamics.

Sales Navigator Buyer's Circle supports dragging executives to their function within the buying committee.
Sales Navigator Buyer’s Circle supports dragging executives to their function within the buying committee.

Sparklane Predictive Account Scoring

French Sales and Marketing Intelligence vendor Sparklane released its Predictive Account Scoring Solution for B2B sales.  Sparklane Predict now supports dynamic account scoring based upon Ideal Customer Profiles (ICP), sales feedback, and CRM win/loss data.  The service is currently available in the UK and France with additional European markets in development.

According to the firm, Predict supports a “human-in-the-loop” lead review process which “feeds lead decisions back into the ICP model, providing additional intelligence towards distinguishing between good and bad prospects.”  Predict also collects CRM intelligence on opportunity outcomes, providing an additional basis for model refinement.  

Predict supports bi-directional syncing with Salesforce, Microsoft Dynamics, Marketo, and Eloqua.  Sparklane uploads suggested accounts and leads to CRMs and gathers historical outcomes for ICP modeling and dynamic scoring.

Sales Reps are shown list segmentation while reviewing individual leads.  Along with business descriptions and firmographics, reps see fit and need scores.  When reps flag a lead as interesting or not interesting, the decision is fed back into the ICP model.

Sparklane claims that it shortens sales cycles by 28%, increases contract volume by 25%, and improves the business conversion rate by 70%.

Sparklane Predict leverages Artificial Intelligence (AI) tools such as machine learning and natural language processing to dramatically improve sales productivity and customer insights.  Sales rep attention is directed towards accounts and leads most likely to close based on both fit (company attributes) and need (sales triggers such as international expansion, employee growth, or product launches).  Furthermore, automated data enrichment ensures that reps are working with accurate, complete, and current data.

Sparklane Press Release

When building Sparklane models, both win and loss scenarios are employed, providing a more robust model than current customer lists. Along with win/loss scenarios, Sparklane supports other binary outcome scenarios:

  • Account Renew vs. Account Drop
  • Account Upgrade vs. Account Downgrade
  • High Margin Profitable Accounts vs. Low Margin Unprofitable Accounts

Sparklane also supports multi-product line upsell and cross-sell models.

“Unfortunately, many of the vendors now marketing ideal customer profile solutions (ICP) are offering little more than basic prospecting or look-a-like lists under the ICP banner,” said Sparklane CEO Frédéric Pichard.  “A true ICP service begins with both positive and negative accounts so the platform can distinguish between accounts that closed and those that failed to close.  A true model also contains feedback loops from sales reps and the CRM.  It is the addition of feedback that refines the model over time, improving the predictive precision of account scores.”

Sparklane supports nearly 250 customers out of offices in Paris, Nantes, and London.  Last year, Sparklane grew its recurring revenue by 60%.

DealSignal Adds Bombora Intent

Human-verified contact vendor DealSignal added Bombora intent to its B2B marketing data service.  The combined solution offers intent-based leads with verified emails and direct dials “so that marketing and sales teams can reach out to ideal buyers directly and drive more conversions.”  DealSignal applies Bombora intent data to an Ideal Buyers Profile.  Users will be able to identify net-new, surging accounts with accompanying contacts and buying teams.

“We’re excited to partner with Bombora to help marketing and sales teams finally answer the most elusive question: Who is out there actively looking for what we sell and how can we reach them before our competitors,” said DealSignal CEO, Rob Weedn.  ”The integration of Bombora intent data and DealSignal’s verified contact and account data means that revenue-driving teams can now see which companies are actively in-market, plus get complete, accurate contact data for ideal buyers at those companies, so they can reach out and convert that intent into a purchase.”

Selecting Bombora Intent Topics
Selecting Bombora Intent Topics

Marketers begin by defining their target buyer personas on the DealSignal platform and then select up to 50 Bombora intent topics.  DealSignal identifies accounts that match buyer profiles along with surging intent and delivers a set of accounts with contacts and firmographics.  By tying together intent, firmographics, and human-verified contacts, DealSignal delivers a set of leads that are more likely to close than with traditional firmographic prospecting.

“Intent-based leads help B2B marketers uncover accounts that are actively in-market — even if they’re not already on their target account/ABM lists.  We then deliver complete, enriched and verified contact and account data that helps marketing & sales teams reach out to prospective target buyers with highly personalized messages, to help them convert more intent into a purchase,” said Weedn.

Third-party Intent data from Bombora and The Big Willow has suffered from poor actionability as intent scores lack context and clear next steps.  Several vendors have begun to address this issue by combining intent with company and contact intelligence, turning an intent number into an ABM lead.  DealSignal ties together Ideal Buyers, Personas, Bombora Intent Data, and Human-verified contacts to indicate which ABM targets are in market and who should be contacted.  

DiscoverOrg redesigned its OppAlerts service to identify companies with surging interest in key topics, rank companies by purchase intent, route high-intent prospects to sales reps, and synch intent data with Salesforce for key topics.  

InsideView added the Bombora intent file into their Apex ICP / TAM service to help identify ABM accounts which are currently searching on key topics.

By converting intent signals into leads or opportunities, firms are beginning to translate billions of weekly datapoints (thousands of intent topics across millions of companies) into actionable intelligence for sales and marketing teams.

In December, Aberdeen acquired The Big Willow to deliver Intent Qualified Opportunities which combined third-party intent with technographics, firmographics, content, and research.

“Intent data has been trapped in marketing tools as just another score,” said Aberdeen CEO Marc Osofsky, Aberdeen’s CEO.  “Aberdeen Intent for Salesforce delivers what sales wants – accounts looking to buy that are fed directly into Salesforce for sales to engage and increase pipeline.”


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