Salesloft Forecast Launched

Salesloft’s new Forecast module ingests deal data from multiple platforms, allowing sales professionals to review deals and take actions necessary to stay on track.

Salesloft continues to extend its value proposition beyond sales engagement and conversational intelligence into deal forecasting and revenue intelligence.  Its new Forecast capability, bundled with the Enterprise edition, is available as part of Salesloft’s Spring ’22 Release.  Other spring enhancements include Multi-language Support for Conversations, Out-of-Office Detection, and mobile updates.

Salesloft noted that forecasting remains a “disjointed and manual process” often conducted with spreadsheets.  Sales professionals must collect information from disconnected systems and often deliver inaccurate numbers that waste “valuable selling time.”  What’s more, manual processes provide few insights for improving sales results and aren’t actionable.  Thus, significant resources are expended coming to a forecast number, but by the time the CSO or CRO rolls it up to the CEO, the forecast is a black box number based on quickly aging data with few actionable insights.

The disjointed forecasting process (Source: Salesloft)

“Forecasting is a critical process for every revenue organization,” said Salesloft CPO Ellie Fields.  “But when sellers use spreadsheets, there’s a high risk of user error and acting on old data.  Spreadsheets aren’t scalable, are incredibly manual, ungoverned, and only serve as a snapshot in time.  There’s no context to help sellers look ahead.”

In a presentation to GZ Consulting, SVP of Product Management Frank Dale emphasized that Salesloft is looking to stay in the “revenue lane” focusing on “what happens between the buyer and the seller.”  Forecasting falls within the revenue lane as it “leverages the data generated from interactions between buyers and sellers.”  Furthermore, forecasting should not be separate from revenue generation.  It isn’t simply calling a number but “taking action to make that number.”

The revenue lane “covers all core selling jobs” and tasks, including driving demand, generating pipeline, managing deals, and engaging customers.

“Revenue teams don’t want a forecast.  They want a real-time, adaptive week-by-week action plan to beat their number.  That’s not what forecasting is today.  Forecasting, as it is done today, sucks.  For most revenue teams, it is something they have to do, not something they want to do.  That’s because the tools they have available make just getting to a forecast number difficult and time-consuming.  What’s worse is that they don’t often trust the number they arrive at.  That’s a big problem.  It’s hard to know where to spend your time when you’re not sure if what you’re looking at is accurate.”

Salesloft SVP of Product Management Frank Dale

The Salesloft Modern Revenue Workspace is built on three pillars: Connecting with buyers, improving interactions with customers and prospects based on the data that is generated from interactions, and aligning the team around best practices.  Forecasting falls into the alignment pillar but is designed to support connection and feedback.

“There is a huge gap.  The gap is not necessarily about calling the number, but it is more about the action plan on that number,” explained Senior Director of Product Management Anshu Chowdhery to GZ Consulting.  Salesloft set two goals for its Forecast launch: A shared workflow for gathering deal intelligence and turning it into a forecast; and the ability to achieve that number. 

Salesloft Forecast capabilities include

  • Forecasts are rolled up across the organization. 
  • Users can drill down to opportunities and track changes in the pipeline.  They can also take action from within Forecast.
  • An AI-driven forecast model employs “sales engagement data and historical performance to dial in on what’s likely to land, and what you can influence.”
  • Forecasts are based on AI models and engagement data gathered by Salesloft. 

“What we’re building is an integrated, whole system,” remarked Dale.  “We’re integrating all of the activity capture from Cadence, all of the conversation data and capture from our conversation intelligence product, the CRM data from our deals product, and then the ability to turn around and take action again through our cadence product once you’ve made the call.”

“This forecasting product is built on top of [our] Deals product,” expanded Chowdhery.  “Deals bi-directionally syncs with Salesforce.  So, everything that lives on Salesforce is in Deals, and that’s the significant advantage of [our] forecasting solution.  We are able to sync everything and pull all information, not only from Salesforce but across our platform – every engagement that’s happening on the cadence side or conversation side.  The sales leader has the ability to view that timeline and identify…[whether] no conversations happened in the last thirty days; this deal is at risk; what should I do in order to win that deal?”

A Weekly Opportunity Changes view lists all of the changes to amounts, close dates, and stages over the past week and how those changes impact the forecast, providing a dynamic view of weekly activity.

Dale stated that Forecast provides value across the revenue team.  Frontline sales management has greater visibility into the pipeline, and Forecast provides sales reps “a true read on what they need to do to land and hit their number.”  In addition, both reps and managers benefit from reduced busy work in managing pipeline updates. 

Dale contends that daily administrative work for reps is reduced by an hour by streamlining the forecasting and updating process.

While Forecast focuses on new business forecasting, future enhancements will support renewal forecasting and run-rate forecasting (i.e., intra-period deals).  Also, Salesloft will continue to build out its analytics and plans to release Vulnerable Opportunities Notifications for flagging at-risk opportunities.

Forecast provides a common workflow that rolls up deal intelligence across the organization.  Users can drill down into specific deals and take actions, greatly improving insights and actionability.  “This is a seamless workflow for the reps and honestly, across the entire revenue organization to submit their forecasts and submit their number,” said Chowdhery.

Salesloft’s Forecasting workflow.

A modern forecasting system must be part of your sales execution system,” blogged Fields.  “The information about your deals in flight – who’s contacting the customer, what meetings were had and what was said, how the customer responds — is the foundational information that your forecast rests on.  If you’re using a sales engagement platform, all of that activity is already being tracked automatically, without your sellers needing to spend time logging their activities.  Meetings and calls are recorded and searchable so you can review that pivotal moment with the buyer.”

“Forecasting under-delivers when the end result is just a number,” continued Fields.  “The end result should be a set of actions you can take to deliver better results.  To do that, you need to not only see a number, but you need to see areas of softness and strength, important deal gaps, and opportunities.  You need to recognize that the East team will need your support this quarter, but that the West will probably overachieve.  You need to know where to spend your team’s time most productively to get over the line.”

Dale emphasized the importance of cross-product workflows aligned with “things people actually want to do.”  Unfortunately, vendors often build technology that “chases a problem” or is designed to answer checklist questions about functionality.  Salesloft “starts with problems people have and then builds solutions to match that.  So anytime you see us build something like forecasting, we’re building it based on what people are actually trying to do.”  Forecasting was built because it was a regular customer request.

Submitted forecasts show progress towards goal and a comparison vs. the prior week.

Forecasting builds on Salesloft’s pipeline management and deals product, including its AI-powered Deal Engagement Scores released last June and Deal Progression Indicators released last November.

Salesloft claims that its new Forecast module transforms forecasting “from a burdensome task into a strategic action plan to close more revenue.”  Revenue estimates and deal close dates are derived from real-time data and employ “multiple forecasting techniques to make it easy to see where the team’s performance is trending.”  AI helps identify missed opportunities and deals at risk, letting reps mitigate deal risk and factor it into pipeline estimates.  As Forecast is native to Salesloft’s Modern Revenue Workspace, managers can assign follow-ups or add deal notes within the Salesloft workflow.

“With Forecast, customers have the visibility, intelligence, and workflow to close deals more consistently and act upon unrealized opportunities,” stated the firm.

“Forecast by Salesloft is an intelligent solution with strong data governance, so there’s less room for errors,” stated Fields.  “Sellers can forecast and take action on those deals from the same platform.  When sales managers have real-time visibility and the ability to drill down, coaching sellers and taking action happens naturally, leading to better deal outcomes.”

ZoomInfo Elaborates on MarketingOS during Earnings Call

ZoomInfo continued its rapid growth, posting GAAP revenue of $222.3 million, up 59% year-over-year.  Growth was both organic (52%) and via acquisitions (7%), with a net retention rate of 116%, up from 108% in 2020.  Revenue grew 13% on a sequential basis.

Roughly half the increase in net retention was due to new functionality, and half was due to improvements in gross retention and lower down-sell rates associated with the initial shock of COVID in 2020.

High-level MarketingOS functionality (Source: ZoomInfo briefing)

CEO Henry Schuck is bullish about their new MarketingOS offering as part of RevOS.  Since acquiring Clickagy 16 months ago, the firm has been building out ABM expertise in its engineering, product, strategy, and customer success teams to bring the new marketing suite to market.

“In all of our prelaunch diligence, we heard over and over again that the applications that marketers were leveraging to do account-based marketing were falling short for one main reason,” detailed Schuck.  “The data being leveraged in those platforms was both inaccurate and incomplete.  And that’s no surprise.  Today’s ABM platforms were all designed to leverage a company’s own first-party data that exists in their CRM or marketing automation system.”

“And in 15 years of running ZoomInfo, I’ve never heard a rep manager or revenue leader describe that type of data as either complete or accurate.  Yet without accurate and complete data, marketers aim advertising dollars at the wrong company and target the wrong people at those companies.  They deliver fruitless leads to sales, which erodes confidence and fails to build alignment between sales and marketing.  So, we built MarketingOS the same way we build every application with our best-in-class data at the foundation of the application layer…

For today’s B2B revenue teams, data, insights, technology, and orchestration are core to the motion they use to market and sell their products.  But these capabilities are siloed.  Some can be found in marketing tech or revenue operations, while others are in the sales tech stack.”

ZoomInfo CEO Henry Schuck

MarketingOS also benefits from ZoomInfo’s longstanding presence among sales teams, improving the credibility of marketing data and removing channel conflict induced by sales and marketing standardizing on different third-party reference databases.

According to Schuck, the RevOS positioning helps reps better explain ZoomInfo’s broad value proposition:

“What RevOS does for us, and what the different platform and product pillars do for us, is it gives us a cohesive story that we can tell all across our business from our enterprise business to our mid-market business to our SMB business. And we believe that the products that we’ve put together have applicability across customers of all sizes…What it does from an enablement perspective is it gives our sellers the ability to go into those conversations in a way that allows them to articulate the broad spectrum of the platform in a way that our customers are understanding much more clearly.”

ZoomInfo CEO Henry Schuck

It test-marketed the RevOS positioning in December and January and found that the updated messaging raised both the win rate and average sales price.  RevOS messaging helps reps position Chorus, RingLead, and Engage at the beginning of conversations.

ZoomInfo now presents itself as a best-of-breed platform that replaces disparate elements of the sales and marketing tech stacks.

ZoomInfo, which announced the RevOS ABM Platform last week, is positioning itself as a best-of-breed platform for revenue teams.  ZoomInfo offers a unified platform for sales and marketing, removing the need to stitch together many point solutions that address individual workflows or problems.  With over 10,000 MarTech solutions alone (according to Scott Brinker of ChiefMartec), selecting and integrating many services has become increasingly difficult.  Conversely, go-to-market platforms such as ZoomInfo ABM Platform manage data, workflow, analytics, forecasting, and communications.

ZoomInfo is not looking to displace systems of record such as CRMs or MAPs but to synchronize with them and enrich their data.  For the past few years, it has been growing beyond traditional sales intelligence (companies, contacts, technographics, event triggers) to workflow, data orchestration, and engagement tools (webforms, visitor intelligence, programmatic marketing, chat, triggered workflows, sales cadences, engagement analytics, conversational intelligence, pipeline forecasting, etc.).  In 2021 it shifted from content acquisitions (e.g., Zoom Information contacts, Clickagy intent, Everstring business graphs) to orchestration (e.g., RingLead) and Engagement (e.g., Insent chat and Chorus Conversational Intelligence and forecasting) acquisitions. 

Likewise, ZoomInfo’s expanded product offerings support Sales Engagement, Recruitment, and ABM.

“We significantly expanded our offering by developing an application layer on top of our best-in-class data assets and acquiring and quickly integrating chat conversation intelligence and orchestration technology into the platform,” explained Schuck.  “These innovations enabled us to add more new customers than ever before and drove increasing levels of sales to existing customers and record net revenue retention of 116%, up from 108% in 2020.”

From a GTM perspective, ZoomInfo is not looking to verticalize its platform but focus more on functional specialization.  As a result, the new RevOS platform positioning focuses on four functions: Marketing, Sales, Operations, and Recruitment.

“It’s more aligned around personas that we sell to,” explained Schuck.  “The new packaging and models that we’re rolling out are aligned around persona, so a sales persona, a marketing persona, an operations persona, and a recruiter and talent acquisition persona.  And that’s the way we really think about our offering and the way that we take them to market.”

Market Flash: ZoomInfo Releases MarketingOS and Unveils RevOS Packaging

ZoomInfo provides a set of data-enabled services for sales, marketing, recruitment, and revenue operations under the RevenueOS brand.

ZoomInfo announced the immediate availability of its new MarketingOS ABM Platform.  The service is part of a broader RevOS offering that supports marketing, sales, operations, and recruitment.  MarketingOS consolidates ZoomInfo’s legacy marketing capabilities, bringing together two recent acquisitions, Insent and RingLead, with new programmatic and audience management functionality.

ZoomInfo also refined its positioning statement from Revenue Acceleration to Revenue Operating System.  It stated that RevOS is “the World’s only revenue operating system of its kind.”

“Our comprehensive B2B database is the key differentiator that sets MarketingOS apart from other ABM solutions,” said ZoomInfo CEO Henry Schuck.  “ZoomInfo’s unique data science algorithms allow marketers to connect with the right prospects at precisely the right time.  No other solution on the market combines the power of data-driven insights and marketing-optimized workflows like ZoomInfo’s MarketingOS.”

“Marketers typically fail because the data in most ABM platforms is both inaccurate and incomplete.  Current ABM solutions are designed to leverage companies’ own first-party data, which exists in their customer relationship management or marketing automation systems.  Without quality data, marketers pour advertising dollars at the wrong prospects and companies, and, as a result, deliver fruitless leads to sales and waste time and resources.  With ZoomInfo’s best-in-class data and intelligence at its foundation, MarketingOS enables marketers to effectively reach target accounts and drive qualified leads for sales.”

ZoomInfo Press Release, “ZoomInfo Launches New Account-Based Marketing Platform, MarketingOS,” (Feb 8, 2022)

New functionality includes social and display advertising, abandoned from tracking, and audience targeting.  Marketing can build audiences and track campaigns on Facebook, Instagram, and Twitter.  Marketing can also build campaigns and manage them programmatically through Clickagy DSP (ZoomInfo) or TradeDesk.

Marketing OS looks to address the “Funnel Famine” suffered by traditional marketing teams.  Several issues cause Funnel Famine: crowded B2B advertising channels, dirty data, leaky black-box marketing campaigns, siloed data, and sales’ longtime distrust of Marketing Qualified Leads (MQLs).

MarketingOS addresses the issue of leads created by “The Funnel Famine.”

“Most marketing programs begin with data, whether it’s for tailoring your communications, whether it’s for sending an email, whether it’s for sending a direct mail.  It’s all about those accounts that you’re targeting and the professionals at those accounts,” explained ZoomInfo SVP of Product Strategy and Product Marketing Justin Withers to GZ Consulting.  “And the reality is that a lot of data, especially if it’s pulled from the CRM or other systems, is outdated.  It’s inaccurate.  It’s incomplete, and that can actually pollute or even inhibit the lead flow at the top of the funnel, and [it] ultimately leads to poor conversion.  It leads to leaks in the funnel, and all this hard work that marketers put in at every stage of the funnel ultimately spills out before it can even reach sales.”

The reality is that the sales and marketing funnels operate in parallel, not sequentially, as represented in traditional funnel diagrams.  MarketingOS lets marketers run account-based programs in parallel with sales running account-based sales programs “so that everyone’s aligned at every step of the funnel.”

Under current processes, sales and marketing operate in parallel to each other with little coordination and a single point of handoff for MQLs, a situation that “really doesn’t set marketing up for success…and it leaves sales in a bind,” continued Withers.  Thus, marketing complains that sales teams ignore its leads, and sales reps complain about the quality and quantity of marketing-sourced leads.  As a result, there is an “acute misalignment between sales and marketing.”

With MarketingOS, handoffs can occur at different points along the marketing funnel, based on the channel and prospect response.

Sales and Marketing are aligned around a set of target accounts both within and beyond the ICP.  Thus, an ICP account with spiking intent will be passed to sales, even if marketing has had limited conversations.  Furthermore, the rep will know that multiple individuals from the firm have visited the website or that individuals have clicked through on ads or email campaigns.

Likewise, chatbot conversations with target companies can immediately route a chat to the sales rep or schedule a call.

New functionality for managing abandoned forms can revive a prospect.  ZoomInfo claims a 60% increase in lead flow with its abandoned form tracking.

MarketingOS Audience Builder with Audience Segmentation

MarketingOS functionality includes

  • Expanded targeting that leverages the full set of ZoomInfo’s first and third-party intelligence for building and activating audiences.  ZoomInfo selects include firmographics, technographics, biographics (e.g., Title, 192 Job Functions, Job Levels), web forms, and uploaded lists (e.g., tradeshow lists).  Other selects include business events (e.g., funding data, executive changes, projects) and over 300 company attributes (advanced data-mined firmographics such as fleet size and company benefits).  Targeting also ingests account, contact, and lead attributes from Salesforce, HubSpot, and Marketo. 
  • First and third-party intent data time outreach while buyers are in-market, helping to improve marketing and sales efficacy.  Marketers can track up to 500 intent topics, with up to 50 available at a time.  In addition, chat-based targeting is coming soon.
  • An “in-market predictive score” that identifies each prospect’s buying stage, “informing how and when marketers should engage with prospects based on their ranking and helping them to prioritize their outbound efforts on prospects who are most likely to convert.”
  • Campaign Management and Analytics.  Marketers upload their creative, build an audience, set the budget, and select their channels.
  • Webforms, infused with automated enrichment, support shorter forms with reduced abandonment rates
  • Abandoned form tracking, with Workflows passing the lead to sales or additional nurture steps
  • ZoomInfo Chat (FKA Insent), a conversational marketing chatbot that leverages ZoomInfo data to score and route leads.  Chat immediately passes high-scoring, live leads to sales reps.  The chatbot also automates meeting scheduling.
  • Visitor Intelligence, with pages scored differently (e.g., Product Pages are scored higher than Career or Investor Pages)
  • Automated workflows triggered by intent, custom intent, WebSights visitor intelligence, Scoops (e.g., business events, projects), Funding, Technologies, and FormComplete.  Workflows can also be built to expand reach across the potential buying committee by persona.
  • RingLead data orchestration to dedupe, cleanse, enrich, and route leads
  • ZoomInfo Enrich, a set of DaaS enterprise platform integrations for data enrichment and hygiene.

MarketingOS is powered by ZoomInfo’s database spanning 100 million companies, 150 million executives, technographics, intent and engagement data, and event data.

“Marketing and sales funnels work in parallel, so everyone is aligned at every step of the funnel,” explained Justin Withers, SVP of Product Strategy and Product Marketing.  With MarketingOS, “sales and marketing are working in lockstep at every stage of the journey.”

MarketingOS is one of four products branded under the RevOS banner.

Tying together intent and engagement data and processing them through ZoomInfo Workflows is the future of ABM.  Intent data is employed at the top of the funnel when buyers are in the initial research phase.  Once prospects have begun interacting with a vendor, most buyer behavior research falls under the engagement category (e.g., web forms, email responses, chatbots, conversational intelligence, etc.).  Finally, intent data helps identify upsell and cross-sell opportunities at the tail end of the customer lifecycle. 

Engagement and intent data are also valuable churn risk indicators, helping customer success and account managers detect potential cancelations or defections well before decisions have been made.  In addition, intent data can show a spike in research related to product-associated topics and competitors.  Engagement monitoring widens to include customer success interactions, training participation, platform usage, and general account health indicators.

“We can support your new customer acquisition with these signals,” stated Withers.  “We can support your opportunity acceleration with these signals.  We can also support your renewal, upsell, cross-sell motions based on different types of signals that are happening at those accounts.  So, it really is a full customer lifecycle marketing solution.”

MarketingOS will be available as a pair of SKUs:

  • ABM Elite+: The full ABM Platform package, including RingLead Cleanse, Enrich, and Route
  • ABM Advanced+: Package includes everything except RingLead

“The purpose behind the two distinct offerings is to simplify our primary offering for those focused on ABM engagement and marketing programs, as opposed to the more operationally focused data orchestration capabilities,” explained ZoomInfo Analyst Relations Director Michael Basilio to GZ Consulting.

MarketingOS includes ten marketing seats and three administrative seats for RingLead routing and ZoomInfo Chat.

The broader RevOS branding consists of MarketingOS, SalesOS, OperationsOS, and RecruitingOS.  ZoomInfo calls RevOS the “world’s first integrated go-to-market platform.”  All four RevOS services are generally available.

ZoomInfo’s data cloud, orchestration tools (e.g., RingLead, B2B DaaS, Workflows), and engagement tools (advertising, sales engagement, web forms, chat, and conversational intelligence) are at the heart of RevOS.

“There’s nothing more important in business than successfully executing your go-to-market strategy,” states ZoomInfo in its product collateral.  “Get it right, and your business flourishes.  Get it wrong, and you’re toast.  That’s why having one integrated go-to-market platform is so crucial.  You can think of it as your revenue operating system.”

SalesOS bundles together a set of new and legacy sales tools:

  • Sales prospecting
  • Chorus, the conversational sales platform the firm acquired in July
  • Sales insights, including Chorus Momentum
  • Sales CRM integrations and continuous data maintenance
  • The ReachOut browser extension for real-time company and contact research and Send to CRM and SEP functionality
  • ZoomInfo Engage (Sales Engagement Platform)

Sales and Marketing Alignment has been a stated goal of the two functions for at least a decade, but they have operated with different datasets, metrics, objectives, and platforms.  Thus, alignment was more vision than reality.  By aligning ABM on a common platform and reference database, alignment is no longer impaired by an organization’s tech stack and data foundation.

“Crucially, MarketingOS lets marketing teams work from a common data foundation. Only 39% of sales and marketing teams share buyer signals, and half say it’s because their sales and marketing systems don’t integrate. The shared data foundation of SalesOS and MarketingOS tightens key handoffs and unlocks true marketing and sales alignment, eliminating conflicting records, wasted effort, and missed opportunities.”

ZoomInfo CEO Henry Schuck, “Introducing RevOS: The future of modern go-to-market software,” (Feb 8, 2022)

OperationsOS contains RingLead data orchestration (i.e., match, unify, dedupe, normalize, cleanse, enrich, score, and route data) and B2B DaaS services (e.g., APIs, webhooks, cloud data warehouse integrations).

Finally, RecruitingOS contains ZoomInfo Recruit, its recently launched prospecting and engagement service for HR departments and recruiters.  RecruitingOS also includes a set of Applicant Tracking Service connectors.

“Recruiters can filter and reach more good-fit candidates, use pipeline management tools to collaborate and organize the hiring process, and automate the candidate outreach process,” explains Zoominfo.  “This helps you source and connect with candidates faster, reducing the time to find and hire talent.”

Along with new product positioning, RevOS sports new logos, color palettes, styles, and a “unified in-app experience to create a singular, cohesive go-to-market solution that spans the entire suite of ZoomInfo products.”  There are also redesigned data dashboards and reports that “offer a faster, more responsive experience that allows your sales, marketing, and recruitment teams to visually demonstrate ROI and how their work aligns with broader organizational objectives.”

In short, RevOS unifies sales, marketing, revenue operations, and recruitment on the same set of data, providing “the same source of truth” and “one integrated platform for every stage of the marketing and sales funnel.” “If data is the lifeblood of the modern sales organization, then go-to-market teams must have the technology to act upon that data.  RevOS’ unified data tech stack gives sales, marketing, operations, and recruiting teams a single source of truth from which to launch their campaigns and go-to-market motions, simplifying internal workflows, reducing costs, and maximizing interoperability between teams,” blogged Schuck.  “RevOS is the next chapter in ZoomInfo’s journey as the world’s leading go-to-market platform.”

MarketingOS supports a Campaign Manager for building, sizing, and tracking campaigns.

Drift Announces Fastlane Webform / Chatbot Hybrid

Revenue Acceleration vendor Drift rolled out a pair of sales enablement tools to facilitate rapid qualification and lead routing: Fastlane lead forms and Sales Seat intent and engagement alerts.

Drift Fastlane transitions a webform into an immediate chat for high-scoring visitors.

Fastlane combines traditional lead forms with chatbots to create “conversational forms.”  Prospects fill out a lead form with contact information enriched, scored, and routed to the Drift chatbot for high-scoring leads.  Thus, high-scoring prospects immediately move to sales rep conversations from the website.

Low scoring leads are passed to nurture or “other automated activations.”

“As a result, sellers can focus on high-converting buyers while routing lower-priority leads to nurture campaigns or other automated activations,” wrote Drift.  “The net outcome results in more qualified sales pipeline, an efficient workflow for sales reps, and overall revenue acceleration for the organization.”

If the buyers are too busy to speak immediately, they can schedule a meeting through the chatbot. Likewise, if the rep isn’t available for chat, the bot can schedule a meeting after collecting additional prospect intelligence.

It may seem odd that a firm that is a #noforms proponent would choose to begin offering forms, but not all marketers are ready to eliminate forms. 

“For most marketers, it’s the number one source of leads that they drive for their sales team.  And if they didn’t have that, sales teams would be on the hook to create nearly all of their own pipeline – which is very inefficient.  So we realized we had to do more.  We have to support our customers in every way that they work. From the inbound motion that relies on forms to the outbound motion for customers who can’t rely on marketing alone to hit their numbers.”

CEO David Cancel

There are also scenarios where a form makes more sense than a bot.  Registering for a webinar works better as a form than a bot as it is transparent about the requisite data entry.  Likewise, enabling forms with optional bots increases their flexibility and value.


Continue to Part II which discusses Sales Seat and the importance of rapid sales responses for inbound leads.

D&B Rev.Up ABX Integrated with Folloze

Continuing my discussion of the launch of D&B Rev.Up ABX.


Dun & Bradstreet also announced that the Folloze B2B personalized marketing platform is fully integrated into D&B Rev.Up ABX.  Folloze is available in both standard and advanced editions.

The D&B Data Cloud personalizes Folloze for landing pages from both inbound and outbound prospects. D&B customer profile data supports campaigns executed on display, email, or via sales outreach.

With Folloze, Rev.Up ABX customers can create and launch “data-powered, personalized omnichannel experiences across the entire buyer journey.”  Folloze captures first and third-party account and individual behavior analytics which are fed back to the CDP.  Folloze can also orchestrate targeted campaign activities across sales, account development, and channels.

The Folloze Buyer Experience Platform

“B2B buying and selling has changed forever,” said Eric Bauer, Chief Growth Officer at Folloze.  “Today’s digital-first buyers want to be treated as partners – not campaign targets.  As such, creating the engaging account-based experiences across the entire buyer journey represents the new table stakes for every marketing team.  Our alliance with Dun & Bradstreet makes it easy for marketing and revenue teams to retool and quickly deliver dynamic contextual experiences across a wide range of digital touchpoints.”

Companies that deployed Rev.Up ABX include Thomson-Reuters, Schneider, Citrix, Rackspace Technology, and Sierra Wireless.

D&B Rev.Up ABX is GA across all five modules (the four channels plus the Advanced edition that combines the four).  The Folloze integration will GA in June.

D&B Rev.Up ABX pricing starts at $30,000. This fee includes the ability to acquire data from the Data Cloud and the embedded CDP (D&B Lattice) along with a single channel to activate a campaign such as email, sales, or web. Other Standard features include visitor intelligence, lead form enrichment, a seat of D&B Hoover’s, Salesforce and MAP import connectors, Salesforce Buyer Insights (10 seats), the Outreach connector (10 seats), analytics, and programmatic audience building.

The Advanced edition applies to clients looking to license at least three modules.  It supports broad data ingestion, social activation, paid search, and real-time visitor intelligence feeds to content management systems, along with all four channels.

D&B Rev.Up ABX 90 Second Demo (YouTube)

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.

HG Insights Market Intelligence

HG Insights continues its evolution from a technographics licensor to a full-service direct source of technology market intelligence.  Two weeks ago, they launched Market Intelligence, a market analytics service for marketing, product management, and strategy groups.  Market Intelligence delivers “actionable insights [that] business leaders need to understand their markets in-depth, make better business decisions, and go-to-market (GTM) with confidence.”

Market Intelligence insights are derived from their global verified technology installation data, including which products have been installed, tech stack spend by category, and contract terms. “This trio of data sets powers detailed, customizable views of the entire installed technology ecosystem,” wrote the firm.

The IT Spend and tech install data are broken into different categories, helping sales teams determine which verticals are likely to have both budgets and an intention to purchase.  Revenue teams can drill into market segments to understand the “size, shape, and structure” of target markets.

Likewise, marketing can use install and spend intelligence to better segment and target their outreach.  Information can be analyzed by IT category, industry, region, and other relevant attributes.  Better targeting allows firms to focus their marketing spend and attention on the right prospects and feed marketing qualified leads to sales.

Revenue teams can deploy Market Insights for territory optimization, account targeting based on propensity to purchase, and account-based messaging.

HG Insights contrasted Market Intelligence with traditional technology research vendors that provide “static, top-down analyst reports that are not customizable at the account level.”  According to HG Insights, technology analyst reports lack the account intelligence that revenue teams require to engage with customers and prospects effectively.

“HG Insights Market Intelligence platform addresses these challenges by providing you with the bottom-up account intelligence you need to understand your markets in-depth and make better business decisions,” contrasted HG Insights Marketing Communications Manager David Guerra.  Using our Market Intelligence platform, you can now instantly analyze the true size of your markets globally by technology installation, IT spend and budget, and a number of other factors.”

Users can also compare the market size of various markets such as countries by vertical to determine growth opportunities.  Other features include vendor penetration rates by industry, purchasing and spend data for target accounts, and segmentation based upon ICP criteria.

“The HG Insights Market Intelligence platform gives you all the information you need to understand your markets, remove subjectivity from planning, and go to market with confidence,” stated Guerra.

A few weeks ago, HG Insights closed on an equity round with Riverwood Capital.  HG Insights completed a successful 2020, reaching its highest annual recurring revenue (ARR) and profitability.  Employment rose 30% last year, and revenue grew over 35%.

“Customers continue to reaffirm that HG Insights’ data’s breadth, depth, and coverage accuracy has become an indispensable asset for critical decision making at every level of a technology company,” commented Riverwood Principal Ramesh Venugopal who joined HG Insights’ Board.  “HG Insights provides unique, data-driven knowledge giving decision-makers confidence that they are making the right choices.”


Part II covers how Product and Strategy teams can employ Market Intelligence for determining the Service Obtainable Market (SOM) for technology offerings.

RelSci Launches Radar for Business Development (Part II)

Relationship Science (RelSci) recently announced Relationship Radar, their new relationship capital management service that marries sales intelligence with an enterprise’s network of employees, alumni, and professional relationships. I covered the feature functionality in yesterday’s blog.

The RelSci Radar release should be viewed as a V1, with a deep set of planned enhancements on the product roadmap:

  • Signature block scraping with automated contact updates
  • Contact de-duplication
  • Integration of Radar into their iOS and Android apps
  • GSuite and Salesforce integrations
  • Broader incorporation of Radar into the RelSci platform and API

Radar is included as part of the RelSci enterprise subscription.  There is no additional licensing fee beyond a $750 implementation charge that can vary slightly depending on the implementation scope.

“As part of our product roadmap, we plan to make Radar available with greater flexibility (including the option to opt-out of the front-end platform at a reduced rate), but for now Radar is only available as part of our enterprise offering,” wrote RelSci Data Product Manager Brian Hyman.

RelSci products are sold on a seat basis with volume discounts.

Pricing is based on the number of seats and configuration.  RelSci did not disclose additional details.

Relationship Capital Management software was a hot category fifteen years ago but never gained much traction due to security concerns and the rise of LinkedIn as a public network.  With security teams now more comfortable with cloud solutions, the category may be open to rediscovery.  Introhive has been successful in the space, placing 128th on Deloitte’s 2020 Fast 500 technology list, with revenue growth of 938% between 2016 and 2019.  Many of the top professional services firms have deployed Introhive, including PriceWaterhouseCoopers, with a 100,000 seat implementation across 90 countries.

“We founded Introhive with a mission to help organizations realize the full value of their relationships and better leverage the underutilized data across their business to increase revenues,” said CEO Jody Glidden. “We have evolved into a suite of artificial intelligence-based solutions that expedite growth for sales and marketing teams.”

LinkedIn Sales Navigator supports corporate TeamLink networking across LinkedIn connections of opted-in colleagues. Relationship networking is also a central feature of InsideView and Warmly, which recently received seed round funding.

RelSci Launches Radar for Business Development

Sales Intelligence vendor Relationship Science (RelSci) unveiled Radar, its latest business development solution.  Radar analyzes emails and calendars to deliver insights about interactions between colleagues and target companies.  Radar currently supports Microsoft mail platforms (e.g., Exchange, Office 365), with GSuite on the roadmap.

Each morning, business development and sales reps receive an email briefing with the latest intelligence on their scheduled appointments, even if RelSci lacks company and contact profiles for the individuals.  Briefings include the date, time, location, meeting attendee lists, and information about the attendees.  Daily email briefings can also be accessed from mobile devices.

RelSci intelligence includes the number of colleagues in touch with the individual, total interactions, last interaction date, and latest news.  Radar also displays a list of colleagues in touch with execs, sorted by connection strength.  For meetings, profiles and network connections are provided for each of the attendees.

“During these unprecedented times, it is more important than ever to help take the guesswork out of targeting prospects by utilizing RelSci with Radar to identify your strongest relationship path, coupled with full insights into your firm’s communication interactions.”

RelSci CEO Domenic Graziosi

Radar provides greater visibility into the relationship capital of a firm, delivering insights about networks across the enterprise.  Along with company and contact news, RelSci offers the best path for reaching out to prospects.         

“Radar generated insights are derived from Exchange scanning for specified users,” explained RelSci Data Product Manager Brian Hyman. “You need to opt-in for Radar to scan your interactions, meaning that the insights derived from this scanning will only be available for participants.  However, RelSci users that do not participate in Radar scanning, but are part of an organization that has Radar participants, will be able to leverage insights generated by those Radar participants.”

Security is controllable at the account level, with each user deciding whether to participate in network sharing.  

“You can opt-out of Radar entirely to prevent confidential information from being shared,” wrote Hyman. “You can also set specific sharing rules within every client account to prevent Radar data from certain users from being shared with other specified users.  You can also prevent certain content from being scanned by Radar (emails marked as personal, private, confidential, etc.).”

To expedite account setup, admins can assign accounts to Exchange distribution lists maintained by their clients.

RelSci has constructed profiles for over ten million executives and estimated the connection strength between customers and each individual.


Continue to Part II with coverage of pricing, roadmap, and a discussion of Relationship Capital Management.