LinkedIn Sales Navigator Q4 Release

LinkedIn Sales Navigator unveiled its Q4 release this month with new account and relationship intelligence lists, improvements to buyer intent, refined searching, expanded revenue and technology data, and a more streamlined ability to upload a sales rep’s book of business.

The new My Current Accounts homepage prompt lets sales reps load their book of business as a CSV list matched against LinkedIn company profiles.  In addition, LinkedIn offers a quick field mapper to ensure the CSV is properly ingested and matched to the correct LinkedIn company profiles.

Account Lists provide several benefits to sales reps.  Sales Navigator users can

  • Target in-market accounts based on LinkedIn Buyer Intent
  • Review real-time alerts around sales triggers such as funding events, leadership changes, and headcount growth/decline
  • Streamline search and prospecting efforts by spotlighting specific saved searches based a user’s book of business

“Yes, it’s great on its own,” blogged LinkedIn Product Marketing Manager Austin Gray.  “But it reaches a whole new level of capability when you can manage your entire book of business in Sales Navigator – insights surfaced via features like Buyer Intent are more actionable, searching becomes more powerful, and it’s that much easier to stay on top of what’s happening at your most important accounts.”

LinkedIn already aggregated Buyer Intent scores spanning 180 different intent signals, and it added four isolated visible Buyer Intent activities as part of an early beta in Q3.  LinkedIn plans to release additional Buyer Intent activities in future releases.  These specific activities are displayed with the associated account.  Furthermore, when the intent activity is public-facing, the individual completing the activity is also presented to the sales rep.

The four isolated Buyer Intent activities are

  1. Who’s followed a company
  2. Who’s visited your profile
  3. Who’s a new connection to yourself
  4. Who’s filled out a lead gen form
Reps can view LinkedIn buyer intent against their account list and then target accounts with high intent levels.

LinkedIn contends that its intent insights differ from other intent data sets across multiple dimensions, beginning with its identity-based intelligence.  Because LinkedIn users are opted-in, the intent data is tied to the individual conducting research on LinkedIn, not the broader account.  Thus, users know “whether it’s the actual person, groups of people, or if they’re a decision maker.”

Sales Navigator said that it will offer a full-funnel view across the buyers’ journey “from the top of the funnel with ad engagement, to the middle with product page engagement, and to the bottom of the funnel with InMail Engagement.”

Finally, LinkedIn positions activity transparency as a differentiator that goes beyond a signal score to activity detail, which will expand in scope.

Current Account Lists and Buyer Intent are available in Advanced and Advanced Plus (CRM) editions of Sales Navigator.

Buyer Activities capture account and contact-level intent.

LinkedIn did not expand the Buyer Intent categories in Q4 but added two new features: Filtering for Buyer Activities and new Buyer Intent account hover cards.  On Account Pages, sales reps can filter for activities by time range and level of decision-making ability.

Reps can also hover over accounts on Alerts, Lists, and Lead Pages to better evaluate an opportunity and refine account messaging.  The hover popup displays the level of buyer interest, recent news, and decision-makers changes “so sellers can easily double check any account’s level of intent as the work through Sales Navigator, without disrupting the current workflow.”

Hover cards provide account intelligence without disrupting research flow.

The New Executives at Saved Accounts List is an auto-generated list based on the saved accounts list.  The list identifies VP and CxO executives hired by tracked accounts.  While the executive view restricts the report to top-level executives, it doesn’t yet support filtering by function, a valuable report extension.

I’ve long extolled the value of identifying new executives at companies.  Fortunately, sales intelligence solutions are doing a better job of leveraging executive change insights in their products:

  • D&B Hoovers supports exec change alerts and triggers by job function.
  • ZoomInfo offers executive tracking of champions to new companies along with backfill contact recommendations at their old employer.
  • LinkedIn identifies new execs at saved accounts.

“We’ve found a lot of success internally being able to see when a new executive comes in,” LinkedIn Sales Solutions Head of Product Marketing Neil Khare explained to GZ Consulting during a briefing.  “They’re generally more willing to think about new vendors or have a mandate to change things up a little bit.  It’s a great time to capitalize on it, and we find that we’ve had some success internally on it, so we wanted to bring this up externally as well.”

LinkedIn also released a Recently Accepted Connections and InMails List highlighting individuals who responded to connection requests or InMails over the past thirty days.

The lists are available online from the list tab or via a weekly email digest.

“These are people that you are going to want to follow up with,” stated Khare.

Users can access two updated filters when building lists: Technology Used and Revenue.  Both filters have been improved with new data licensing agreements from undisclosed data partners. 

Accounts may be filtered by preset revenue ranges (vs. discrete values determined by the end-user).  All revenue data is in US Dollars.

To improve regional screening, users can paste a set of postal codes.

LinkedIn Sales Insights, LinkedIn’s DaaS enrichment service for sales ops, also benefited from expanded revenue data sourced from LinkedIn members, third-party vendors, and AI models.  95% of Fortune 500 and 75% of publicly traded companies display discrete revenue data.  More broadly, 60% of companies have at least a modeled revenue range.

To improve the Sales Insights workflow, LSI added exclusion filters for companies and personas, helping Sales Operations “focus on industries and geographies that are relevant to your business.”

LinkedIn Sales Insights now offers exclusion criteria to improve reporting filters.

Clari Acquires and Integrates Wingman into its Revenue Intelligence Platform

In June, Revenue Intelligence vendor Clari acquired Conversational Intelligence vendor Wingman, bringing together two complementary SalesTech vendors.  Wingman provided Clari users with additional account intelligence derived from calls, meetings, and emails.  The goal was to provide “visibility plus action all the way from the boardroom to the bullpen,” said Wingman CEO Shruti Kapoor.

Clari recently announced that Wingman is fully integrated into its service.

“The acquisition of Wingman, a leader in conversation intelligence, gives Clari’s category-leading Revenue Platform the unprecedented ability to analyze customer and employee conversations, extract valuable AI-driven insights, and reliably predict all revenue outcomes,” announced Clari.  “Wingman goes beyond the limits of similar conversation intelligence tools by helping revenue-critical teams act in the moment when it matters.”

“A major part of our strategic vision is conversation intelligence, which is why we’re thrilled to announce that Clari has acquired Wingman, a leader in CI.  This gives Clari’s Revenue Platform the unprecedented ability to analyze customer and employee conversation data, extract valuable AI-driven insights, and reliably predict all revenue outcomes.  The full value of conversation intelligence has never been fully realized, until now.  Clari helps your team move beyond siloed, departmental systems and processes that cause endless breakdowns across your revenue process and brings all revenue-critical employees into a unified platform to run revenue.”

Clari CEO Andy Byrne

“As we think about scaling our impact, it’s clear to us that we want to free up these insights for everyone who’s revenue-critical, from the bullpen to the boardroom,” blogged Kapoor.  “We want to give you the ability to switch between micro (every customer interaction) and macro (the entire revenue pipeline) as easily as toggling channels on television.”

Wingman battle cards are displayed in real-time.

Wingman records, transcribes, and tags calls, storing them in a searchable library by keyword, tag (e.g., Price, Customer Pain, Blockers), or competitor mentions.  Topics may be customized to capture competitors, product names, technologies, etc.  Reps can also set live bookmarks across all supported video platforms.

Wingman also offers real-time battle cards, a set of short suggestions displayed in context during a call.  New sales reps will be confident that they are providing accurate information consistent with company positioning.  Other real-time coaching tools include long monologue alerts, word rate notices, and time-based cue cards.

Wingman game tapes provide a reference library of training snippets.

Call summaries include questions, next steps, pain points, blockers, and topics of interest.  Post-call analytics include call duration, longest monologue, engaging questions that elicited a response from the prospect, and interactivity.

To assist with coaching, Wingman automatically identifies speakers and creates speech tracks, letting managers or reps focus on specific individuals.  It also offers a “game tapes” library for new hire training.  Game tapes provide a set of best-of-breed video samples for pricing, blockers, features, etc.

Wingman also offers Deal Central deal intelligence.  Deal Central identifies deal health risks such as the lack of a decision-maker or pricing not being discussed.  It is this engagement intelligence that will complement Clari’s revenue intelligence capabilities.

“We were looking at all of the signals that are important for…our customers to help them make better decisions in their revenue execution…We have had great success bringing in data from CRM systems, email systems, meeting information for calendars,” stated CTO Venkat Rangan.  “One thing that we also recognized was bringing in conversational data – conversational intelligence analysis of call recordings – whether it’s voice calls or Zoom meeting calls…was going to fundamentally change the quality of the signals we bring in.”

Sales reps can also share meetings or snippets with colleagues, providing access to the customer’s voice.  Reps can also share call URLs with prospects and know when prospects view them.

Wingman is integrated with

  • CRM: HubSpot, Salesforce, Pipedrive
  • SEP: Outreach, Salesloft
  • Conferencing: Zoom, Teams, Google Meet
  • Dialer: RingCentral, Dialpad, Fresh Caller, Aircall, FrontSpin
  • Other: Slack, Zapier
Wingman Pricing

Wingman’s monthly pricing starts at $60 per rep.  It has “no hidden setup costs, no minimum seat requirement, and no charges for sales managers & observers.”

In the summer of 2021, Wingman was named a Gartner “Cool Vendor” in the Conversational Intelligence category.

When acquired in June, Bengaluru-based Wingman had 57 employees (per LinkedIn) and had doubled its ARR over the previous six months.  It was founded in 2018 and claims to have over 200 customers.

“Clari’s acquisition of Wingman will help customers turn recorded conversations into a strategic asset for spotting revenue leak and driving revenue precision.  At a time when leaders are looking to unify their teams and their tech stacks, adding Wingman solidifies Clari’s position as the only enterprise platform for running the end-to-end revenue process,” boasted Byrne.  “Wingman’s conversation intelligence technology leads the market in real-time guidance and coaching capabilities, providing actionable insights when sellers need them most to help close deals faster.  Revenue leadership can scale teams, methodologies, and go-to-market strategies with confidence knowing that all team members will have the latest messaging and collateral at their fingertips, in every conversation.”

Rangan said that Wingman was a strong fit to Clari across multiple dimensions: technologies, market approach, and culture.

Kapoor noted that the combination allows for conversational analysis at all levels.  Users can Zoom into a single conversation and deal health, while managers and executives can zoom out to pipeline analytics, revenue forecasting, and deals at risk. 

Bringing the organizations together was the “best and fastest way to get there together,” argued Kapoor.

Initially, Rangan would like to focus Wingman enhancements on the emerging and commercial segments due to a strong alignment between Wingman and customer needs.  The Wingman roadmap also lays out steps to make Wingman mid-market and enterprise ready.  Longer-term, conversational intelligence signals will be fed from Wingman into Clari and “serve all of the revenue workflows” across the boardroom, senior management, front-line management, and sales reps.  Conversational intelligence will feed the forecasting and pipeline inspection processes.

Seth Marrs, Principal Analyst at Forrester, was bullish on the transaction, noting that Clari has “stayed away from deeper revenue intelligence capabilities that focus on interaction execution, preferring to aggregate that information from other tools and present it in Clari.”  However, he sees four reasons that the acquisition makes sense:

  1. Adding CI eliminates a key dependency – While Clari had access to 28% of interactions via email and calendaring, it relied on third parties to capture 45% of interactions via phone and web conferencing.
  2. It allows for new insight generation capabilities – Conversational Intelligence employs NLP for generating additional insights to drive pipeline and deal health analytics.
  3. Valuations have come back to Earth – Six months ago, this deal may not have made financial sense, but “with funding drying up, this is the perfect time for late-stage market leaders with large war chests to acquire technology companies at a reasonable price.”
  4. This new capability aligns with Clari’s stated strategy – Deal health analytics derived from unstructured conversations will augment Clari’s vision of “predictable revenue growth.”  It will also capture and analyze internal deal review calls and potentially update deal progress and commit status automatically.  While deal status CRM updates are not a current capability, Marrs has suggested a logical future capability.

Conversation Intelligence is one of several product categories that are being merged into SalesTech platform solutions.  Converging technologies include Meeting Management, Sales Engagement, Conversational Intelligence, Revenue Intelligence, and Digital Salesrooms.  Clari now offers three of these (it also supports digital sales rooms via its 2021 DealPoint acquisition).

Terms of the deal were not disclosed.

Clari Optimize and Groove Partnership

Revenue Platform Clari made a trio of announcements related to a partnership with Sales Engagement Platform Groove, the full integration of conversational sales platform Wingman, and the pending release of its Optimize module for controlling revenue leaks.  Optimize helps revenue teams diagnose and address revenue leaks, reducing revenue loss due to deal slippage, bad data, and error-prone manual processes.

“The Clari Revenue Platform gives revenue leaders the past, present, and future data they need to not just control revenue but help grow it,” said Clari CEO Andy Byrne.  “Only Clari provides the full historical picture and adds real-time capabilities to act fast as well as the forward-looking projections to proactively strategize revenue precision.”

Optimize offers a “single, centralized view” of revenue metrics, including win rates, forecast accuracy, and deal cycle times.  In addition, Optimize helps revenue leaders answer questions such as “How is my team trending this quarter?  Are we going to meet, beat, or miss on revenue?  How can I ensure my reps are doing the right things to produce predictably winning results?”

Clari argues that market leaders have been unable to answer these questions proactively, making it difficult to mitigate issues and risks.  Clari combines historical and external data to assist with revenue benchmarking.  Thus, Clari can reach beyond the CRM to gather account intelligence.  For example, it can look at usage data to assess churn risk.

“Optimize is all about finding revenue leaks so customers can see not just where and why they’re missing revenue, but what they can do about it. No other solution on the market has the ability to harness past time series data to provide a historical view of revenue leak.”

Clari CEO Andy Byrne

Optimize, available soon, will provide a single view for the whole organization of revenue and insights, capturing CRM intelligence, activity data, and forecasts.  With the integration of Wingman, its recently acquired conversational intelligence subsidiary, the voice of the customer is fully embedded within Clari analytics and forecasts.

Furthermore, Wingman provides real-time coaching during sales calls, helping reps avoid mistakes and providing real-time intelligence (e.g., technical information, competitive battlecards) to sales reps.  By improving sales objection handling, parrying competitive attacks, and preventing delays due to technical follow-ups, Wingman also reduces revenue leakage.

“It’s not just about coaching your teams to sell more, or about deal reviews,” said Holly Procter, senior vice president and global head of sales at Clari.  “It’s more about running your revenue better—governing revenue-critical moments for success and collaboration across revenue-critical people, which includes buyers as well as sellers.  Nobody else offers this collaborative, real-time approach.”

The Clari + Groove Joint Value Proposition

Clari and Groove announced a partnership at Dreamforce that helps “joint customers run revenue with more precision, greater collaboration, and faster execution.”  Sales Engagement Platform Groove acts as a “system of action,” while Revenue Intelligence platform Clari acts as a “system of collaboration and governance.” Both platforms sync with Salesforce, which serves as the “system of record” for sales activity.

The partners argue that while revenue is at the heart of every business, CEOs struggle to get a handle on revenue and are uncertain about whether they will meet, beat, or miss revenue projections.

“Up to fifty percent of entire company employees are revenue critical.  They are responsible in some form or fashion for delivering revenue.” 

Clari SVP of Marketing Kyle Coleman explained to GZ Consulting

Revenue responsibility is broader than quota carriers and includes SDRs, CSMs, AMs, leadership, product managers, and engineers.  Unfortunately, “consistent, predictable execution and collaboration” across these employees remain “very challenging” due to the lack of a unified platform shared across all these roles.

“It’s also very difficult, therefore, to govern any sort of revenue process or sub-process in a repeatable way,” continued Coleman.  “What revenue leaders end up doing is every quarter, they’re trying to capture this lightning in a bottle to know whether they’re going to meet, beat or miss, but it’s sort of a scramble more often than not.”

With the Groove / Clari partnership, “we will be able to govern processes, we’ll be able to replicate the best practices, we’ll be able to do the right kind of real-time analysis that leads to action in a closed loop way so that we know that everything is happening as it should be when it should be,” argued Coleman.

A common issue for revenue teams is identifying revenue leaks and mitigating them.  Revenue leaks exist across the full revenue lifecycle.  For example, deal slippage is identified in real-time, allowing reps to take action via Groove to bring the deal back on track. 

When Clari identifies a deal slipping for competitive reasons, it can suggest a play be executed in Groove.  Likewise, Clari can identify sub-par win rates, overly generous discounting, and low conversion rates for early-stage opportunities.

As Groove is native to Salesforce, it records all activities in real-time, providing “full-funnel forecasting” and analytics to Salesforce and Clari.

“We can tie our campaigns through to revenue in Salesforce, and that is something that they (Groove’s competitors) cannot do,” argued Groove VP of Marketing Kristin Hersant.  “Then all of that rich data, tying engagement through to revenue is able to be pulled into Clari and used in the analysis, and that is available today.”

Coleman explained that while you can’t win a deal at any moment, you can certainly break a deal.  And once a deal is lost, “it’s very difficult to un-lose” it.  Thus, “if you don’t do the right thing at the right time – handle the right objection, or pull the right person in or do the right kind of follow-up” – the deal could be jeopardized.  Therefore, “handling revenue critical moments expertly and in a prescribed way” that is governed by best practices is critical in addressing revenue leaks.

“Having all of that insight into all these moments that exist and then having confidence that every one of your employees is going to be able to execute on this?  Well, this is what’s so exciting to us,” said Coleman.

“Clari has always been about providing companies with the collaboration and governance required to run revenue with maximum precision, and Groove completes the equation by enabling our joint customers to turn the insights we provide into action,” said Byrne.  “We’ve seen incredibly strong results from joint customers using our two platforms together, and this formal partnership will help us transform even more revenue organizations.”

Groove offers enterprise customers a Salesforce-native SEP that records all activity directly to Salesforce.

“Groove and Clari coming together is definitely a ‘1 + 1 = 3’ scenario for revenue leaders,” said Groove CEO Chris Rothstein.  “Bringing together Clari’s revenue collaboration and governance capabilities with Groove’s strength in sales execution and productivity provides the ultimate value proposition: See the future with Clari and then create that future with Groove.”


Company Links: Groove | Clari

Vainu for HubSpot

Vainu for HubSpot Data Mapping rules.

Yesterday, I posted about Vainu’s new Global Database. The firm also announced its Vainu for HubSpot connector for matching and enriching company data against its global reference database.

“Most sales and marketing teams want to be data-driven.  They want to run ABM campaigns, apply modern lead scoring models, and automate many parts of the sales process.  SalesOps and Marketing Ops professionals are there to facilitate all that, but there’s one common challenge they’re facing: CRM data is messy and outdated,” observed Vainu co-founder Mikko Honkanen.  “With that struggle in mind, we thought it would be a good time to launch a new HubSpot connector at the same time that we’re launching Vainu Global…so that it’s easy for companies using HubSpot to get their CRM data cleaned, updated, and enriched.”

As companies are being matched against Vainu’s new global database, not registered Nordic filings, the match field is URLs, not business IDs or VATs.  With forms, contacts are matched against email domains.  If a company is not already in HubSpot, new Accounts are created, and the Contacts are associated with the new record.

“This means it works very well with HubSpot CRM, because domain is often the company property that a business will have for almost all of the company records they have in their CRM, which means that it’ll be easier to match the companies in HubSpot to our database,” contended Honkanen.

During beta testing, match rates were as high as 99%.  For non-matched records, the firm offers on-demand matching against missing domains.  If they are valid domains, Vainu adds profiles to its company directory.

Along with standard firmographics, account enrichment includes Vainu’s Custom Industry segments, global web traffic ranking, and Vainu segments (e.g., website keywords or phrases).  Profiles generally have four to eight industry labels, helping with targeting.

Other fields include technographics and domain redirect information.  Redirects are often implemented after acquisitions or rebrands and are useful for assigning contacts.

Vainu for HubSpot Send to CRM

Vainu offers a field mapper for assigning Vainu data to HubSpot and setting update rules.  For example, admins can set field update logic to always update, update if null, or never update.  Vainu custom fields that are not in HubSpot are automatically created.  Along with companies, admins can map contacts, tasks, notes, and deals. 

Thus, admins can build a campaign and upload it to HubSpot with task assignments.  The inclusion of tasks and notes helps specify campaign details, such as recommended collateral and case studies, with the Vainu Custom Industry and Technology Intelligence assisting with messaging.

If companies do not exist in HubSpot, Account records are created.  If they exist, then the existing records are enriched. 

By default, HubSpot does not overwrite current account owners.

Updates can be performed on a scheduled basis or executed as a one-time batch operation. 

Vainu intelligence with tasks and notes displayed in HubSpot.

Vainu Launches Global Database

Vainu Global Database Attributes

European Sales Intelligence vendor Vainu unveiled its new Global Database this week, a domain-based company dataset spanning over 65 million companies.  The database was built through web-crawling and includes standard firmographics, technographics, Vainu Custom Industry Codes, social links (Facebook and LinkedIn), and web-based insights (keywords and phrases that describe the company). 

Domains are mapped to headquarters locations, with additional locations captured during the site crawl and displayed as part of the profile.  A countries of operation field helps with market entry planning (e.g., which companies in our ICP have operations in specific countries?).  Vainu also captures website languages, helping determine which markets companies are targeting.

“If you’re selling a product or service where the buying decision is made on a business unit/regional level, having this type of data in your CRM is crucial,” argued co-founder Mikko Honkanen.  “It helps your sales reps to pick upsell and cross-sell opportunities and in general, makes it easier to maximize the revenue potential of your customer portfolio.”

“Unfortunately, finding good data for regional offices has been challenging in the past,” continued Honkanen.  “Most companies will only list their main office on their social media accounts, and it’s been difficult for salespeople to manually add office data from company websites to their business systems due to the limitations in the availability of data properties.”

Filtering with Vainu’s proprietary industry codes and associated Confidence Scores.

Vainu offers over 900 proprietary industry codes, including emerging industries such as SaaS and Artificial Intelligence not available in other taxonomies.  When screening, the system defaults to high-level confidence, but users can more broadly search by accepting companies with lower industry tagging confidence.  In addition, users may select one or multiple categories, employ Boolean logic (e.g., SaaS AND Executive Recruitment), and modify their selects with web-based insights.

The crawler and platform UX are English only.

Discrete sizing data is not provided, with companies mapped to five employee ranges.  Vainu employs an “ordinal regression and classification approach” to its model that factors in web traffic, the number of office locations, detected web technologies, mentions of specific key phrases, etc.

Honkanen argues that its methodology may be off by one size band but is unlikely to make large errors.  “Our own internal testing indicates that our model generally outperforms other employee count models, but it truly shines when it comes to minimizing the large, important mistakes.  What that means is that it might be difficult for the model to choose between 51-200 and 201-1,000 if the company has roughly 200 employees, but it has an easy time avoiding big and important mistakes, such as enterprise companies being classified as micro companies.  In other words, our model still makes mistakes, but those mistakes are often small in magnitude, i.e., the model might predict the nearest neighbor.”

Vainu has been building and tuning the database for over a year, helping it distinguish between product sites (e.g., Tide) and company sites (e.g., Proctor & Gamble).  It is growing at 100,000 companies per day and recrawls sites every sixty days.  Users can set up saved searches that identify new companies, upload them to HubSpot, and alert the sales rep.

Company data is available through a web-based platform, API, CSV downloads, and connectors (HubSpot today, with Salesforce and Microsoft Dynamics 365 on the Global Database roadmap). 

Users can also upload lists of domains for matching and enrichment.  When downloading data, they specify file formats, controlling which fields to download and their order.

As they offer a LinkedIn field, users can quickly create and upload LinkedIn Matched Audiences to the LinkedIn Campaign Manager with high match rates.

The database does not contain contacts, but Honkanen argues that Vainu’s company data is superior to firmographics from other services.

Honkanen provided several reasons for not offering contacts, “We don’t want to be a vendor that provides bulk contact data…We don’t want to promote salespeople to do spam.  Also, it is very challenging to do that in a GDPR-compliant way.”

Instead, the company wants to promote “smart, Account Based Marketing” that supports very specific industry and keyword screening and LinkedIn audience campaigns.  From the LinkedIn Campaign Manager, users can target by persona.  Users can also match against existing HubSpot contacts with pre-existing consent tied to Vainu-enriched firmographics.

“If you’re looking for a combination of high-quality firmographic and website-based insights, we’ve got you covered,” blogged Vainu Marketer Nikolai Bang.  “Our global data offering includes numerous important data points, such as location, industry, company size, technologies, website keywords, and website traffic, that, according to our customers who have tested several offerings, other vendors cannot provide at a similar quality.”

While other databases, including Vainu’s Nordics database, are built around business ids, the global database is built around domains, with the firm capturing multiple locations related to domains.  Business ids are preferred for KYC and credit scenarios as the data is tied to legal ids, but domain data matches well against CRMs and emails.

Vainu contends that domain-keyed databases are better for ICP/TAM analysis as subsidiaries and branches aren’t double counted, providing a more accurate view of market opportunity.  Vainu claims that ICPs built using Vainu Custom Industry codes and website-based insights during beta testing consistently achieved 90% accuracy.

The Global Database resides on a new platform and is available as a distinct product with separate licensing and administration from its Nordic registered-data services.

Pricing starts at €12,000 per annum, with a one-time setup fee starting at €1,000.  Instead of seat-based pricing, Vainu is pricing based on the number of records uploaded or maintained.

Vainu Company Profile

Vainu Resources

RollWorks Journey Events and Sales Inights for HubSpot

ABX Platform RollWorks launched Journey Events for HubSpot, a consolidated account-level view of the customer buying journey.  The service helps B2B teams understand which activities are helping move customers through the decision process and which activities are sub-optimal and should be adjusted.

“Due to its ability to surface every marketing and sales activity driving an account’s progression, Journey Events for HubSpot also provides sales teams a comprehensive look (both immediately and over time) at how an account is moving—what is working and what is helping to drive the account progression, including seeing every action alongside an account spike,” stated the firm.  “This helps sellers plan and personalize outreach by identifying the optimal time to contact an account and tailor messaging based on the last action that may have had an effect.”

Journey Events pulls engagement, intent, and stage data from HubSpot, Salesforce, Marketo, RollWorks, and G2.

RollWorks Journey Events was announced last fall and is now available inside HubSpot.

RollWorks gathers time-stamped events such as meetings booked, opportunities generated, and SDR emails.  It then matches activity history against intent, engagement, and journey stage data.  As a result, sales and marketing professionals can visualize account progression against activity history to determine the efficacy of various activities. 

“At a critical time when marketers across the board are being asked to do more with far less, RollWorks Journey Events for HubSpot stands out for its ability to help all go-to-market teams be more efficient with their ABM strategies.  Being able to see each and every marketing and sales activity that’s driving account progression is huge.  With that, for example, you won’t send irrelevant messages in an email or waste money sending a gift to an account if it isn’t ready.  Instead, your organization can focus on what’s working and foster a common language between sales and marketing.”

Jodi Cerretani, RollWorks’ Head of Demand Generation

RollWorks has established HubSpot as a key partner and invested significantly in HubSpot connectors.  In June, it launched Sales Insights for HubSpot, which employs data science to provide a “360-degree view of accounts throughout the buying journey, helping B2B marketers and sales teams to eliminate the guesswork and create more timely and efficient sales outreach.”

It also has enjoyed significant success with its RollWorks ABM HubSpot App, which passed 500 installs in April, 150% above its nearest platform competitor.  The integration enables teams “to identify high-fit, high-intent accounts and buyers, reach them efficiently, and measure impact.”

“RollWorks is laser-focused on engagement quality innovation, and we are incredibly proud of our acceleration and momentum within the HubSpot ecosystem,” stated Justin Cooperman, VP of Product Management.  “With Journey Events for HubSpot, we’ve raised the bar on relevance and personalization between seller and prospect.”

RollWorks Sales Insights for HubSpot identifies spiking ad engagement and website visits.

Sales Insights identifies accounts with spiking engagement based on visitor intelligence and advertising views.  RollWorks flags accounts with Account Spikes compared to baseline activity and visualizes engagement within HubSpot.  As a result, revenue teams can prioritize marketing programs and sales outreach based on spiking engagement.

Sales Insights de-anonymizes existing HubSpot CRM contacts and automates sales alerts when engagement activity spikes.  It also identifies unassigned spiking accounts and notifies sales reps via email when there is spiking engagement.  Additionally, within the HubSpot Company Record, an account timeline displays activity across the website, ads, intent, CRM, marketing automation platform, etc.

Likewise, marketing can analyze which campaigns lead to engagement surges and tailor ABM campaigns accordingly.  They can also build nurture workflows for spiking accounts. “There’s a difference between ‘pipeline’ and ‘pipedream.’ I prefer the former,” said RollWorks VP of Sales Shawn Cook.  “When my sales teams know who and what content a prospect is engaging with, they can take on the role of trusted advisor and advance the conversations with the accounts that are likely to buy from us.  Sales needs to not only know what the content is but also why that piece of content was created.  This is where the alignment is magnified.”

Sales Insights for HubSpot is included as part of the $995 per month RollWorks Account Based Platform license.

Postal via RollWorks’ Sales Insights for HubSpot Connector

Offline Marketing Engagement Platform Postal.io announced an ABX platform partnership with RollWorks. The integration, which leverages RollWorks’ Sales Insights for HubSpot connector, adds direct mail, e-gifting, and branded swag delivery options to RollWorks omnichannel engagement.

“Postal’s offline engagement platform optimizes omnichannel campaigns at scale,” said Mike Stocker, VP of Partnerships at RollWorks. “Together, and through a HubSpot connection, RollWorks and Postal help marketers ensure that these sending and gifting campaigns are data-driven and result in better conversions.”

RollWorks customers can now send a Postal gift when an account is spiking or send a direct mail based on intent or journey stage progression. Marketing can also automate gift sending to key stakeholders when demand unit engagement thresholds are reached (e.g., impressions, ad clicks, page views, etc.)

“The increased demand of Offline Marketing Engagement is a testament to a change in the way companies are engaging with prospects, customers, and employees,” said Postal CEO Erik Kostelnik. “Through the power of Postal and RollWorks, when you can orchestrate digital ABM programs with offline, your programs no longer have to be siloed and episodic. They are systematic, which ultimately drives efficiency and better outcomes.”

RollWorks → HubSpot → Postal.io Workflow.

RollWorks has established HubSpot as a key partner and invested significantly in HubSpot connectors.  In June, it launched Sales Insights for HubSpot, which employs data science to provide a “360-degree view of accounts throughout the buying journey, helping B2B marketers and sales teams to eliminate the guesswork and create more timely and efficient sales outreach.”  Last month, RollWorks announced Journey Events for HubSpot.

RollWorks has enjoyed significant success with its RollWorks ABM HubSpot App, which passed 500 installs in April, 150%.  The integration enables teams “to identify high-fit, high-intent accounts and buyers, reach them efficiently, and measure impact.”


Continue to part II on RollWorks Journey Events and Sales Insights for HubSpot.

Leadspace – SalesIntel Partnership

CDP and DaaS Platform Leadspace deepened its partnership with company and contacts vendor SalesIntel to deliver richer profiles.  The expanded profiles will assist with territory planning, campaign building, and ABM programs, helping convert a “company’s total addressable market into new opportunities and customers.”

Leadspace is promising at least a fifty-percent cut in third-party data licensing expenses for human-verified contacts, firmographics, and technographics.  “This frees companies to reinvest their savings into advanced AI-assisted technologies to fully optimize funnel conversion,” stated Leadspace.

Leadspace aggregates third-party data from over thirty vendors, with data spanning 70 million companies, 240 million buying centers, and 280 million business professionals.

Leadspace delivers “fully-enriched, 360-degree buyer profiles of current and high-performance lookalike customers” that align the company’s territories with its TAM and ICP.  It then activates ABM-derived audiences across multiple channels, including Google Ads, Facebook, LinkedIn, Twitter, and LiveRamp. 

Leadspace offers connectors for major platforms, including Salesforce, MSD, Marketo, Pardot, and HubSpot.

“Leadspace is redefining the performance of B2B sales and marketing teams.  We have over a decade of experience in delivering the most extensible B2B profiles in the industry.  And unlike other offerings, the Leadspace platform is data source agnostic, open, and extensible,” stated Alex Yoder, CEO of Leadspace.  “Companies large and small need and deserve complete and active profiles, but today many companies struggle to keep their profiles up to date and complete.  We’ve worked with SalesIntel for several years, and this expansion in our partnership to include human-verified B2B contacts and technographic data in the Leadspace B2B graph is a testament to their being the leading vendor for the most affordable direct dial and accurate contact data in the industry.”

SalesIntel employs a global research network of nearly 2,000 editors who double-verify its data each quarter, ensuring a 95% accuracy level of its contacts.  It also provides firmographics and technographics.

“At SalesIntel, we are committed to providing the best sales intelligence available for revenue teams of all sizes.  Leadspace requires the highest quality data to fuel its platform, so this partnership expansion comes naturally.  We are honored to be a trusted provider,” said SalesIntel CEO Manoj Ramnani. “With customers having access to accurate contact data and over 200 million technographic data points, they will be equipped with the most accurate insights so they can expand reach, grow pipeline, and increase close rates.”

Demandbase Unified CRM View

ABX Platform Demandbase announced that it is the first sales intelligence and account engagement platform to integrate both services jointly into CRM.  Demandbase offers a single view that combines first-party and behavioral data from the Demandbase ABX cloud and third-party datasets (firmographics, technographics, contact data, and news & social insights) from the Demandbase Sales Intelligence Cloud.

“Doing so gives B2B sellers access to all the information they need to spot and close larger deals faster,” stated the firm.  “This first of its kind application guides sales teams to know where and when to engage with the right accounts and decision-makers, leading to higher win rates, shorter sales cycles, and bigger deals — boosting CRM adoption in the process.”

Demandbase brought firmographic, contact, and technographics databases in-house following the May 2021 acquisitions of InsideView and DemandMatrixIntent data includes first and third-party intelligence, including Surging Intent, Demandbase Keyword Intent, Campaign Response, and Web Page Visits.

Revenue Operations can also select intent data from Bombora and G2, which are processed through the ABX platform’s predictive models.

The Demandbase Timeline provides current and historical intent data.

The Demandbase platform also supports activity timelines, product and competitor intent datasets, and persona-based engagement heatmaps, helping revenue teams assess account potential and determine where accounts stand in the buyer’s journey.

Heatmaps may be viewed by engagement, people, or journeys.  Both preset and custom options are available.  In addition, users can drill down to details by clicking on a row or column header.

The SFDC Heatmap is presented at the Account level with Engagement Minutes (Demandbase’s contact engagement model) displayed within the heatmap matrix.

Sales users can utilize this heatmap to find champions at an org via the highest engagement and understand with which roles they need to communicate.

The Demandbase Heatmap is available with both preset and customizable views.

The platform also supports long-running InsideView for Salesforce functionality, including

  • Company and contact profiles
  • Prospect list building for companies and contacts
  • Contact searching at accounts
  • A news viewer that combines company news, social posts, and blogs
  • Corporate family trees
  • Add to CRM with duplicate checking
  • CRM “stare and compare” updates

According to Demandbase, the unified UI lets customers “consolidate their tech stack, replacing ABM, sales intelligence, advertising, and other vendors with Demandbase One, the Smarter Go-To-Market solution.”

“The beauty of this unified sales UI is that all the data a salesperson needs is readily accessible, right in the CRM where they’re already working.  It’s revolutionary for sales teams,” said Demandbase CRO Allison Metcalfe.  “No more toggling between systems or wasting time in generic outreach that doesn’t drive sales.  Instead, they’ll have deeper insights and greater visibility into prospective deals, gaining knowledge about what buyers are doing around the web, what they engage with, who to contact (and how), and what the most relevant messaging is.  The actionability, productivity, and efficacy of such functionality is practically limitless.”

In other news, Demandbase was named to the Fast Company “100 Best Workplaces for Innovators.” The magazine noted that Demandbase reinvests 20% of its revenue in R&D.

RevenueBase $6M Seed Round

B2B data vendor RevenueBase closed a $6 million seed round led by Bessemer Venture Partners.  Additional investors include 2 Lanterns, Argon Ventures, Converge, Feldsmith Capital, Good Friends, Graph Ventures, Gutbrain Ventures, KOA Labs, PBJ Capital, and Service Provider Capital.  The round was oversubscribed as RevenueBase enjoyed significant investor interest.

As part of the round, RevenueBase named three Directors to its Board:

  • Kent Bennett, Partner at Bessemer Venture Partners
  • Bob Davoli, Founder and Managing Director of GutBrain
  • Jude McColgan, former CEO of Localytics

RevenueBase launched last spring looking to solve issues in the B2B data market, including difficulty in identifying and engaging with Ideal Customer Profile (ICP) prospects and marketing’s reliance upon spammy demand generation instead of well-targeted messages.  RevenueBase trebled its revenue over the past year and expects to do the same this year.  It has already onboarded twenty customers, with a focus on selling data as a strategic asset to the CMO or CRO.

RevenueBase was founded by industry veterans Mark Feldman, the VP of Marketing at NetProspex before its acquisition by Dun & Bradstreet, and Milenko Beslic, who built Cheapflights, the travel industry’s first metasearch engine.  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 a product that broadly aggregates company, contact, and custom customer-specific insight data that aligns 1:1 with each customers’ go-to-market strategies.

Custom insights can be any variable that enables targeting of the right businesses.  For example,

  • Does the company offer a mobile app?
  • Are they a managed service provider?
  • Do they have a call center?
  • Do they sell perishable food products?

RevenueBase then builds a custom database for clients that it calls a Revenue Database, which is updated on an ongoing basis.

“We saw a whitespace for a company like RevenueBase, especially given that we’ve seen little real innovation or change in this market over the past decade leading businesspeople to be bombarded with impersonal and poorly targeted messages multiple times a day.  This situation has been made worse by ‘The Great Resignation,’ during which so many people have left their positions, and the data hasn’t kept up with those changes. Milenko and I knew that we could build a better solution to make it easier for companies to access more buyers in order to increase revenue.  We’re excited to have the support of great investors who are on board with our vision.”

CEO Mark Feldman

RevenueBase will deploy its funds towards building a customer UX and a set of enterprise software integrations for CRMs and MAPs.  It is also looking to grow its headcount from twelve to twenty before the end of the year.

“We think the opportunity to be the B2B data refinement layer powering growth-oriented companies is massive,” said Bennett.  “We are impressed with RevenueBase’s early traction and Mark’s and Milenko’s appetite to transform the B2B data industry.” 

Feldman argues that RevenueBase is distinguished across three dimensions: “completeness of data, data accuracy at scale, and ease.”  RevenueBase offers a high-touch, white-glove offering customized to each of its clients.  It begins with customer alignment, holding a set of discovery workshops that identify each customer’s “revenue archetype.”  RevenueBase then queries its 700 million global contacts database to build tailored databases for its clients.

RevenueBase maintains a database of 700 million global contacts.

Revenue Archetypes consist of an ICP, market segmentation, pains addressed, buyer personas, sales showstoppers, and custom insights that enable buyers to be engaged more personally. 

“A revenue archetype is a model of what your ideal customer looks like, i.e., one you can derive revenue from,” Feldman explained to GZ Consulting.  “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 such as industries or geographies that require a standard not met by a firm’s offerings (e.g., HIPAA or GDPR requirements).  It also identifies roles not involved in purchasing a company’s products or services.  These individuals may be too junior in the organization or may not work in functions that use a company’s products or services.

RevenueBase argues that its knowledge graph technology improves the set of discoverable relationships, including the “longtail of customer-specific insights,” stated Feldman.  For example, RevenueBase can identify partners, investors, technologies in use, revenue streams, business models, key resources, and modern industries (such as Fintech and SaaS) that do not fall into standard industry classifications.

Conventional firmographics vendors must have a product manager pre-define the company attributes to be collected and then build these definitions into its data collection methodology and structure.  Because RevenueBase employs a graph database, it is not subject to these structural limitations and can identify uncommon or industry-specific elements that define the ICP.  The data structure also supports multi-point verification and data attribution.  In addition, data fields with high probabilities of changing, such as email addresses, job titles, and current employers, are re-verified at least four times per year.

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 directly to sales and marketing systems, revenue teams avoid time-consuming sales rep data research and managing databases. 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.