Category: Sales Intelligence

LinkedIn Sales Navigator Q1 Release


LinkedIn Sales Navigator rolled out its Q1 product, focusing on relationships, personas, and enhanced buyer intent functionality.

The new Relationship Explorer surfaces “hidden allies” and best paths into accounts, helping sales reps avoid cold outreach and “spam cannon techniques.”

“Instead of a blanket approach where you target everyone at an account, you can laser in on the people who are most likely to take a meeting with you based on their persona and what connection they have to you,” explained LinkedIn Senior Director of Product Mitali Pattnaik.  “You can also use it to multi-thread deeper into accounts by finding the next-best person to reach out to.  This creates a more efficient experience for buyers and sellers alike.”

Sales Navigator has long supported introductions and TeamLink (colleague) suggestions, but it has never fully leveraged the value of its economic graph for warm communications.  The Economic Graph supports 900-million-member profiles across 61 million companies, along with current and prior employment, educational background, posts, etc.

Sales Navigator has a second advantage: its profiles are maintained by its members, ensuring that profiles are kept up to date and contain rich data around education, interests, skills, employment history, etc.

“Teams have relied so heavily on cold outreach largely because they’re leveraging sales intelligence tools that are limited in showing how to get a foot in the door of an account.  These tools are chock-full of stale data: everything from incorrect contact info to the wrong person in the wrong role.  With reliance on tools full of stale data, reps end up spamming all potential prospects with a spray-and-pray strategy, leading to an abysmal 1-2% response rate,” argued Pattnaik.  “Looking forward, sellers are going to need to be smarter and reach out with a more personalized approach.”

Relationship Explorer recommends prospects at an account, leveraging the interactions and trends across its professional network “to provide sellers with optimal paths to connect with their target personas at their target accounts.”  As a result, Relationship Explorer saves time prospecting, cross-selling, and upselling at accounts, helping reps find the best contacts at target accounts.

The feature offers up to eight “of the most relevant individuals” based on their target persona and relevant, actionable insights (called spotlights by LinkedIn) based on interactions between members and organizations.  Spotlights highlight both biographic and dynamic information, including recent job changes, LinkedIn postings, and past customers.  As such, they provide timely reasons to reach out and content to include in their outreach.

Relationship Explorer suggests the best contact at an account based on the user-defined persona.

Relationship Explorer is available in all Sales Navigator editions.  However, while it displays a dozen spotlights, not all are available in each edition.  For example, Past Customer spotlights are only available in the Advanced Plus edition.

Personas help users identify their target audience by function, seniority level, geography, and current job title.  They are available on the Homepage, Search, Relationship Explorer, and Account pages.

Users can define up to five personas which act as templates for homing in on ideal prospects.

Persona definitions on the homepage.

Pattnaik suggested several use cases for personas:

  • Creating highly targeted Personas matching target customer profiles.
  • Leveraging Personas in Search, Homepage, or Account Pages to identify the most relevant opportunities.
  • Identifying warm paths and decision-makers at targeted accounts with Relationship Explorer.
  • Using insights from Account Pages, including Persona growth, to prioritize accounts composed of leads matching Personas.

Persona functionality is available to all users.

Over the past few releases, Sales Navigator has built buyer intent into its service.  Its latest intent-based feature is Product Category Buyer Intent, which identifies buyers searching for products in their category.

Product Intent Categories

Previous Sales Navigator intent was based upon research into a vendor.  Product Category Intent identifies prospects researching a product category but may not know a vendor or its offerings.  The two types of intent data can be compared to understand the level of interest in the company versus the interest in the company’s product category, informing sales and marketing strategy.

“Categories are created with AI by combining related keywords into one central category, which is then tied to products using publicly facing product descriptions.  For example, “fintech” and “financial tech” are individual keywords, which the AI model can combine into a single category,” explained Pattnaik.  “Intent is then connected using buyer’s members’ profile as well as recent buying activities on LinkedIn.com to help sellers find the buyers who are likely looking for a solution like theirs.”

LinkedIn is rolling out several new Buyer Activities that will be displayed on Account Pages and the Buyer Intent Account Dashboard.  Additional intent categories are rolling out over the next quarter:

  • LinkedIn Ad Engagement: Clicks and view activity data.  Both of these data points are private, so sellers will only be able to see the general profile of the buyer.
  • InMail Acceptance for a colleague: Displays the public identity of individuals who have accepted InMails from other sellers on the same contract.
  • Company LinkedIn page visits: Clicks on the company page.  Page visits are a private activity, so the buyer is anonymous.
  • LinkedIn profile visits to colleagues and leadership: A new activity that shows sellers when a potential buyer visits the profile of a colleague on the same contract or company leadership.  This is also a private activity.

Buyer Intent is available in the Advanced and Advanced Plus editions of Sales Navigator.

Users can now search against any account list or use an account list as a suppression list.  Other new search filters include:

  • Past Customer (Advanced Plus only)
  • Past Colleague
  • Executive TeamLink – leverages the networks of a company’s executives (Advanced and Advanced Plus only).
  • Viewed Your Profile
  • Product Category Buyer Intent

LinkedIn also enhanced its Sales Insights (LSI) service with the improved matching of companies to CRM accounts and Adjustable Growth Time ranges.

LinkedIn admitted that its previous LSI matching logic may have been inaccurate as it only matched against a few standard CRM fields.  LSI now supports CRM custom ingestion that improves match rates with customer-defined match fields.  There is also an option to force matches based on LinkedIn Ids or URLs.

LinkedIn Sales Insights Field Mapping

Adjustable Growth Time Ranges can be set to 3, 6, 12, and 24-month increments.

Vainu’s Nordic Coverage

Vainu’s Nordic Coverage

Scandinavian Sales Intelligence vendor Vainu released a new platform for its Swedish and Finnish databases.  The new platform includes expanded datasets, CRM connectors, usage-based pricing, and an updated UX.

Customers can migrate to the new platform or stay on the old one near-term.  However, future development will only be made for the new one.

The new platform offers a “simplified and unified” UX to “better represent what we offer clients: Actionable and reliable business data,” blogged Vainu Marketer Nikolai Bang.  Changes include a simplified prospecting module for Norway and Sweden and updated profile displays.

The platform includes a new filter architecture that will allow Vainu to “develop new filters in the UI faster as our databases expand with new data sets without compromising the platform’s speed or usability.”

Users can now define custom table layouts for reports which are reflected in the product and when downloading tables.  Users control which fields to display and their order.  In addition, Vainu added a JSON download format.

Vainu’s updated Build a List UX.

As the new platform pricing is usage-based, it includes a usage dashboard that tracks records downloaded and CRM account records matched.

While the old platform supported 400 financial variables, they were “incoherent and unmaintained fields, with duplicates, poor documentation, and poor naming.”  The new standardized financials display “100 carefully picked financial terms,” and financials are segmented for improved display and navigation.

Along with field display, the reports include definitions, making it easier to understand KPIs and how fields are calculated and rolled up.

To help with customer outreach, Vainu added 26,000 GDPR-compliant, human-verified contacts for Finland and Sweden.  Contact records include title, phone number, email, and LinkedIn handle.  Contacts were collected for firms with at least 10M€ (Finland) or 100MSEK (Sweden) in turnover.

Scandinavian Business ID connectors are available for Salesforce, MSD 365, HubSpot, and Pipedrive.  Global Domain-based connectors support Salesforce and HubSpot.

Bang noted that some customers and prospects had found Vainu to be a “significant financial commitment.”  The new usage-based pricing model “helps alleviate this worry” as it “lowers the barrier to entry for trying out data.”

SMB Pricing for one of the Nordic country databases begins at 4,200€ per annum with a 750€ onboarding fee.  The Team level supports one user and includes data updates and workflow triggers for 1,000 accounts.  The Business edition is similar but supports 8,000 updated accounts with triggers for 9,900€.

The Global Business database, which is domain-based, supports up to 10,000 company exports or enrichments and provides full access to the global database.  The Global Database is priced at 12,000€, with each band of 10,000 additional enrichments priced at 1,000€.

Vainu has shifted to a usage-based pricing model that monitors the number of downloaded and enriched records.

Resources

Owler Integrates with HubSpot & Teams

Owler maintains lists of companies that have been synced with HubSpot.

Company Intelligence vendor Owler unveiled a pair of integrations with HubSpot and Microsoft Teams.  Both offerings are available through its Owler Max subscription product for sales reps.

Owler supports competitive and sales intelligence, with data gathered from web mining and crowdsourcing.  Along with standard firmographics, it offers M&A intelligence, funding profiles, company news alerts, and twenty-three sales triggers.

Owler Max is their sales intelligence edition with CRM syncing, email alerts, and prospecting.  Reps control which of the twenty-three alert categories are relevant, including new triggers based on revenue and employee count changes.

Company prospecting selects include industry, location, company status, revenue, employee counts, funding history, and competitors.  Owler profiles 15 million global companies, with the option to push companies and lists to the CRM.  Company data is passed bi-directionally, while news can be used to create HubSpot Tasks or display alerts via email, HubSpot, or Slack.

News and company profile links are embedded within HubSpot Tasks.

“Owler Max provides sales teams with resources they need to do their jobs the best they possibly can,” said Owler CEO Tim Harsch.  “Our new integrations and data insights offer sales teams key improvements to organization, workflow, and research efficiency.  Sales professionals can leverage data better, drive desired results quicker, and grow the capacity of collaboration in the remote work era.”

Owler syncs data every six hours and can match and upload 1,000 records per minute.

The Teams integration was launched back in August.  Owler Max users will see their MS Teams instance in the Owler Max dashboard.  They then click connect, name the connection, and syncing commences for all followed companies.  Team members can then read, collaborate, or share company intelligence via Teams or email, with alerts automatically posted to Teams channels.  Alerts may be aggregated from all lists or customized.  Users can also control which of its nearly two dozen event categories should be shared so that only relevant topics are posted.

“Owler Max’s new offerings put sales teams on a straight path to winning.  To unlock their full potential, sales teams need efficient access to personalized data and tools for seamless workflow.  By providing this scaffolding, Owler Max gives sales professionals an immediate competitive edge.” 

Owler CEO Tim Harsch

Owler Max is priced at $600 per annum with a minimum of five seats.  Owler Max also supports a Salesforce connector.

Demandbase CRM Connectors

Demandbase sales and marketing engagement data can be visually displayed in Dynamics 365.

Demandbase unveiled a pair of CRM connectors for HubSpot and MSD 365.  The bi-directional, native integrations allow Demandbase One to push data into the CRMs for automated workflows, Lead-to-Account mapping, tracking, and responding to engagement activity.  Syncing is performed nightly.

“This release creates a unified interface that empowers revenue operations, sales, and marketing teams to grow predictable pipeline and close larger deals,” blogged Demandbase Senior Product Marketing Manager Travis Breier.  “The integrations enable a variety of rich workflows for customers to enhance their analytics, derive valuable insights, target more efficiently, and build reporting that aligns with their own CRM data set and their GTM needs.”

Demandbase launched the unified first and third-party view in its Salesforce connector this summer and has now expanded it to two other leading CRMs.

Demandbase offers a set of Calculated Fields that includes intent, engagement, and predictive scores that are synced and displayed in CRMs.

Demandbase feeds intent and engagement data, firmographics, technographics, and Demandbase Calculated Fields into CRMs.  With this data, operations can create CRM custom sales views, reports, and dashboards that display website activity, intent, and heatmaps.  Sales reps can view both sales intelligence and engagement data from a unified view. 

Furthermore, CRM data is available for list building and filtering in Demandbase One.  Users can define selectors, set up orchestration, create Demandbase campaigns, visualize and apply Demandbase intent and predictive scores, analyze journeys, and build reports.  Furthermore, “accurate account identification, combined with their CRM data, also means better predictive models, marketing and sales alerts, personalization opportunities, and more.”

For example, past opportunity data from the CRMs are now available to Demandbase pipeline predict and qualification scoring models to assist with account prioritization.  Demandbase also helps, “align messaging to each stage” of the buyer’s journey and assists with list building and campaign execution.

Conversely, Demandbase is syncing its insights (e.g., intent data, web traffic, most engaged contacts) with the CRM, helping reps prioritize accounts and prepare for account interactions.  Insights include Demandbase’s configurable data, such as its scores and engagement minutes that populate custom fields.

Demandbase brought firmographic, contact, and technographics databases in-house following the May 2021 acquisitions of InsideView (firmographics, contacts, and event triggers) and DemandMatrix (technographics).  Intent data includes first and third-party intelligence such as Surging Intent, Demandbase Keyword Intent, Campaign Responses, 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.

“Both of these integrations improve orchestration, delivering greater sales and marketing alignment and a friction-free experience,” stated Demandbase.

“These integrations ensure our customers who use Dynamics 365 and HubSpot CRM realize the full value of the Demandbase platform.  Pairing Demandbase natively with the CRM allows our customers to orchestrate a seamless go-to-market motion with full alignment between marketing and sales.  We’re providing the full power of our Account Intelligence in these connected systems and saving sales and marketing teams time by providing them actionable insights wherever they want to consume them.  The result is better performance with less manual effort at every stage of the customer journey.”

Demandbase CPO Brewster Stanislaw

Demandbase is not done with the connectors.  It plans to add additional functionality to the CRMs, including “new sales-focused experiences, additional capabilities in the Demandbase app in Dynamics, enhanced Lead-To-Account functionality, and the ability to automate and scale account-based / people-based plays directly from your activities.”

Demandbase supports both HubSpot CRM and Marketing Automation platforms.

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.

TechTarget Much Better Positioned to Withstand Recession than in 2008

Technology Sales and Marketing Services vendor TechTarget ($TTGT) believes it is in a much stronger marketplace and revenue position than in 2008, the last recession not caused by a pandemic. It has shifted away from economically sensitive brand revenues to a “robust product suite, which allows us to address the evolving needs of our customers.”  As a result, brand revenues have declined from 30% of total revenue to 10% since 2009.

TechTarget is fundamentally much stronger than in 2008.  It has trebled its revenue over the past fourteen years and doubled its Adjusted EBITDA margin.  In 2009, the firm had virtually no long-term contracts; now, 42% of revenue is associated with longer-term contracts.  Other positive signs: TechTarget has grown its customer base from 1,000 to 3,200 customers and is much less reliant on legacy global customers, reducing its revenue share from 32% to 20%.  Furthermore, its largest customers have shifted from hardware to cloud and software vendors with subscription customers.  Whereas its top customers in 2009 suffered revenue downturns, its current customer base is more likely to struggle to grow revenue than to suffer declining revenue.

“The modernization of the sales and marketing organization is a strong and durable trend.  It is hard to compete in today’s IT market without a data-driven go-to-market strategy,” argued CEO Michael Cotoia on TechTarget’s Q3 earnings call earlier this month.  “As the leading provider of first-party purchase intent data in the enterprise IT market, we will continue to benefit from this trend.”

Priority Engine

Priority Engine, its subscription sales intelligence platform, grew revenues by 15% last quarter.  TechTarget will continue to invest in Priority Engine after doubling the number of engineers working on the product in 2022.

In 2023, Priority Engine will further bolster its Salesforce integration with “bi-directional data flow, campaign orchestration from within Priority Engine, additional program impact reporting, market insights to inform marketing and sales outreach, and alert-driven account and prospect intelligence for our sales users.”

Priority Engine also plans to ingest Salesforce data for analytics dashboards around ROI, open pipeline, and won/lost opportunities.   The dashboards will answer the question, “how do we set up our sales reps within our customers’ environment to make the most appropriate and relevant follow-up?”

“We also want to make sure that we are working with our customers to provide more insights across their total campaign with TechTarget, both on the sales side and on the marketing side.  So, what you’re doing with their lead generation and demand gen, their content, their branding, the visitors on their website to really bring that end-to-end view into Priority Engine to help fuel and help modernize…both sales and marketing.”

TechTarget CEO Michael Cotoia

The firm sees significant opportunity for growth in TechTarget’s sales-specific module, which is still in the early adoption phase as it was rolled out less than a year ago.

TechTarget does not break out the number of customers licensing Priority Engine or the Priority Engine sales module.  However, CFO Daniel Noreck said that the module is “growing nicely but still a small base.”

More broadly, the firm has 3,200 customers, but there are over 18,000 global technology companies with at least $50 million in annual revenue, providing plenty of market opportunity. 

“We believe most of those companies are good candidates for the Priority Engine sales module,” stated Cotoia.  “While we expect that our rollout to those customers will be slowed by macroeconomic weakness in the short term, we think the long-term opportunity is enormous.”

Content to Close

TechTarget’s fastest-growing service is Content Enablement which powers its Content to Close strategy.  In conjunction with its customers, TechTarget produced content “to fuel their marketing and sales outreach.”  The service is aligned with the growing focus on self-service research among younger purchasing and business professionals.

“Most technology companies’ current go-to-market strategy is very sales rep heavy. We believe this approach is going to need to transform in the coming years to adjust to the changing buyer dynamics.  The companies that win business will have a comprehensive content strategy to effectively influence buyers before their sales reps get involved.”

TechTarget CEO Michael Cotoia

The acquisitions of Enterprise Strategy Group (“ESG”) and BrightTALK have “uniquely positioned” TechTarget to support growing self-service requirements.  Content Enablement via these subsidiaries will continue to be an “aggressive” investment area.

TechTarget also believes it has a market advantage due to its opted-in, privacy-compliant intent data sets gathered from its B2B media websites and BrightTALK.  Cotoia argues that customer sensitivity to privacy issues and growing government regulations will offer an ongoing competitive advantage for its intent data from permission-based audiences owned and operated by TechTarget.  This advantage “will become even more apparent when Google eliminates third-party cookies.”

TechTarget will continue to look for acquisitions like BrightTALK and ESG that expand the firm’s product capabilities.  It is also interested in acquiring vertical media companies like Xtelligent Healthcare that expand the firm’s TAM into verticals that share similar attributes as Enterprise IT: significant purchase price, complex buying process, long lead times, and large buyer teams.

Healthcare Intent

TechTarget recently integrated XTelligent Healthcare intent into Priority Engine, creating a sales intelligence solution for HealthTech and Healthcare.

Priority Engine for Healthcare Highlights for Top Accounts.

Priority Engine for Healthcare supports over 400,000 opted-in healthcare contacts, including Providers, Health Systems, Payers, Pharmaceuticals, Life Sciences, Accountable Care Organizations, and Federal/State Healthcare Agencies.  TechTarget claims that 90% of the US healthcare system is covered.  Xtelligent said its audience contains “70% Business & Finance Executives and Clinicians who have critical involvement across healthcare technology purchases that are becoming increasingly complex.”

To demonstrate confidence in the company, TechTarget began a new stock buyback program to repurchase up to $200 million in common stock and convertible debt over the next two years.

RelPro Partners with Lendovative Technologies

Sales Intelligence vendor RelPro announced a partnership with Lendovative Technologies, “a provider and developer of niche lending technologies for financial institutions.”  The partnership enhances both companies’ ability to assist financial institutions that serve businesses across the United States.

The two firms made a go-to-market announcement with no technical integration.  Ostensibly, it is a two-way referral partnership “consistent with us developing relationships in the Banking and Financial Services ecosystem,” explained RelPro CEO Martin Wise to GZ Consulting.  Lendovative reached out to RelPro due to its “established and growing position in the Banking industry.” 

“Their platform helps banks to grow their commercial business, and the next question from their customers is ‘how can I find new SMB companies and executives to call on to grow my business?’ and that’s where RelPro fits in,” continued Wise.  “Equally, RelPro’s smaller banking clients are always interested in learning about new technology platforms that will help them grow their business.”

“The two-way referral partnership is consistent with us developing relationships in the Banking and Financial Services ecosystem – this is an efficient way for us to grow our business with smaller banks, and it leverages RelPro’s strong positioning in the banking industry (RelPro is used by half of the Top 50 banks in the US),” concluded Wise.

“By delivering deeper insights on small- to medium-sized companies and their decision-makers, we are helping financial services professionals identify more potential clients who need access to capital,” noted Lauren Meyers, RelPro’s VP of Partnerships & Customer Success.  “This partnership with Lendovative enables us to accelerate the prospecting initiatives of lenders while providing them with a solution to help businesses navigate their cash flow needs in unique and innovative ways.”

RelPro has long specialized in financial services and developed a sales intelligence platform for the space.  Its business datasets include seven million US companies, 150 million contacts, UCC filings (liens), PPP (pandemic loans) intelligence, and SBA loan data.  This summer, it added Commercial Real Estate intelligence and financial services intent data to its platform.

Lendovative offers the BB-360 lending collateral tracking platform for commercial lending.  BB-360 connects businesses to financial institutions, helping maximize access to short-term capital and collateralizing accounts receivable, inventory, and other assets.

“Loan growth is a key strategic goal for our financial institution clients, and that starts with actionable business intelligence,” noted Patrick True, President at Lendovative. “I have worked with similar service providers for more than thirty years, and no one is better at helping develop quality leads for commercial lending than RelPro.  The synergies that exist between our two companies are powerful, and will help Lendovative Technologies achieve its mission of connecting financial institution clients to more businesses across the U.S.”

RelPro integrates and presents company and contact intelligence from 17 vendors.

6sense Unveils Conversational Email

The new 6Sense Conversational Email Campaign Builder

At the 6sense Breakthrough Conference, 6sense unveiled its new Conversational Email module. Conversational Email employs AI models, psychographics, technographics, intent data, and predictive analytics to deliver “hyper-personalized, hyper-relevant emails to qualify and convert leads to sales meetings.”

Conversational Email supports campaigns across functions and the buyers’ journey. Marketing can send “personalized peer-to-peer nurture emails from multiple AI personas, and Operations can systematize meeting conversion and scheduling for qualified accounts. Sales teams can operationalize best practices and “scale across segments much easier.”

Marketing can also deploy Conversational Email to revive dormant accounts, qualify and convert inbound leads, and boost webinar and event registrations, participation, and follow-up.

6sense claims that beta customers enjoyed a 50% reduction in deal cycle times for marketing-sourced opportunities and a 1.5X increase in average deal size.

“A look at the basic process Conversational AI uses to nurture leads and turn them into sales opportunities.”

AI tools include a Visual Conversation Flow Builder, Email Assistant, and Qualification and Sales Handover. The Email Assistant employs AI to “effortlessly engage the correct buying team members, schedule follow-up based on out-of-office replies, book meetings with the right owners, and send targeted content.”

Dynamic content consists of multivariate blocks tailored to specific keywords, segments, personas, or products for personalizing messages.

Additionally, Conversational Email supports automated workflow triggers based on account buying behavior and contact activity.

“This launch is one of our most significant product updates yet,” said 6sense CTO Viral Bajaria. “Every company has overlooked and underworked, yet high-quality, leads. Critical outreach happens too late or simply never at all, which leads to missed revenue opportunities. The early results from customers in our beta program using 6sense Conversational Email demonstrates the impact: reduction in deal cycles, increase in average deal size, and new pipeline generated. While others in the market focus on sending emails, we are the first to focus on writing relevant emails and responding in ways that lead to more quality pipeline, more efficiently.”

6sense Contextual Targeting improves engagement and recall.

6sense also rolled out Contextual Targeting, which places ads alongside similar digital content. A study by Spark Neuro found that contextually relevant ads generate 43% greater engagement and double the ad recall.

In addition, 6sense offers over 100 new custom contextual topics for B2B marketers. “Advertisers won’t need to settle to use contextual segments that are largely designed for consumer marketers,” stated 6sense.

6sense claimed three benefits to Contextual Targeting. It:

  • Respects user privacy by targeting audiences without using behavioral or data profiles
  • Provides ready-to-use contextual topics built specifically for B2B 
  • Eliminates wasted ad spend on buyers that aren’t likely to engage 

Another new feature is Campaign Forecasting which estimates a campaign’s daily audience, daily impressions, and daily spend. Campaign Forecasting helps marketers assess campaign budget and reach before launching the campaign.

6sense also announced at Breakthrough that a sales intelligence data application would be released in Q1. 6sense, which bought data company Slintel last October, will offer global contact data, intent data (3rd-party data, anonymous web visitor insights), firmographics, psychographics, and technographics. In addition, the “intuitive” UX will provide “actionable insights and [an] orchestration layer necessary to identify, prioritize and engage with accounts in-market.”

“With B2B buying committee members increasingly choosing to remain anonymous through most of their journey, sellers need insight to earlier signals for their sales outreach to be effective. With our latest advancement in 6sense Sales Intelligence, we bring industry-leading intent data, contact data, and AI insights to help sellers efficiently identify priority prospects, personalize their interactions, and take timely action with ease to drive meetings and conversion of pipeline to revenue.”

Amar Doshi, SVP of Product & UX at 6sense

The Breakthrough Conference was billed as “an inside look at best practices to leverage AI and big data to accelerate revenue generation efficiently.”

“The Proceed with Confidence focus of our 2022 Breakthrough event couldn’t be more timely. We heard from more than 50 sales and marketing speakers at this year’s event that 6sense Revenue AI is the must-have competitive edge they can’t grow without,” said 6sense CEO Jason Zintak. “B2B companies are losing revenue opportunities and leaving money on the table. To deliver a better buying experience in today’s selling environment, it’s imperative to leverage AI along with pre-intent data, intent data, and predictive analytics to know which accounts are in market to buy your product or service, when and how to target them, and what messages to deliver to best engage.”

TechTarget: Priority Engine for Healthcare

Priority Engine for Healthcare offers topical intent for 400K registered healthcare administrators, IT professionals, and clinicians.

TechTarget, a leader in second-party technology intent data sets for sales and marketing, expanded the scope of its Priority Engine service to support the US healthcare sector.  The new Priority Engine for Healthcare service provides prospect-level intent gathered from Xtelligent Healthcare Media, its August 2021 acquisition.

“Being able to provide our customers with 1st-party intent data on the largest healthcare technology and information audience on the web is a true game changer in our industry,” said Sean Brooks, Co-Founder of Xtelligent Healthcare Media.  “Sales and marketing teams will now have direct access to entire healthcare buying teams, including Clinicians, Line of Business, and IT Decision-Makers, to find more opportunities and accelerate technology deals.”

Priority Engine for Healthcare Highlights for Top Accounts.

Priority Engine for Healthcare supports over 400,000 opted-in healthcare contacts, including Providers, Health Systems, Payers, Pharmaceuticals, Life Sciences, Accountable Care Organizations, and Federal/State Healthcare Agencies.  TechTarget claims that 90% of the US healthcare system is covered.  Xtelligent said its audience contains “70% Business & Finance Executives and Clinicians who have critical involvement across healthcare technology purchases that are becoming increasingly complex.”

The service is available for ten segments:

  1. Analytics
  2. Electronic Health Records (EHR/EMR)
  3. Healthcare Security & Compliance
  4. Health IT Infrastructure
  5. Life Sciences
  6. Patient Engagement
  7. Payer
  8. Pharma
  9. Revenue Cycle Management
  10. Telehealth

Intent data is gathered from 14 B2B healthcare media properties.  HealthTech sites include EHR Intelligence, Health IT Security, and Health IT Analytics.  Clinical research and medical sites include LifeSciences Intelligence, PharmaNews Intelligence, and HealthPayer Intelligence.  Over 400 healthcare topics are covered, with roughly half focused on Healthcare Tech.

Priority Engine for Healthcare also offers visitor intelligence and content view tracking.  Healthcare intent data from BrightTALK, TechTarget’s digital webinar and event platform, is also included.

Xtelligent, also based in Boston, has a similar content model to TechTarget.  When acquired last year, it had over 1.5 million healthcare-related visitors per quarter across ten websites, but lacked a platform for enabling its contacts and intent datasets. 

Xtelligent content focuses on healthcare-related software and technology decisions, aligning with TechTarget’s enterprise software focus but in an adjacent market.  Xtelligent topics include telehealth, healthcare analytics, revenue cycle management, healthcare IT security, and electronic health records.

The new intent topics identify HealthTech content consumption at the account and prospect levels, gathered from TechTarget’s 150 enterprise and health technology websites.

“By expanding the amount of permission-based, relevant 1st-party purchase intent data our customers have access to and delivering a full suite of marketing, sales, and go-to-market services to engage real buyers, we help companies of all sizes achieve better results at scale in this market,” said Michael Cotoia, CEO, TechTarget.  “As a leader in coverage of B2B enterprise tech for more than 20 years – combined with working very closely with our almost 3,000 customers – TechTarget has unique visibility into the buying dynamics across every major sector of the market.  Our experience positions us well to bring our model to adjacent vertical markets with similar attributes to enterprise B2B tech – long/complex-sales cycles, large purchases, multiple members of the buying team, and a strong need for 1st party data to enable marketers and sellers – just as we have done in healthcare.”

Priority Engine for Healthcare Prospect Insights

Company Links: TechTarget | Xtelligent | Priority Engine