RelSci Launches Radar for Business Development

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

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

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

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

RelSci CEO Domenic Graziosi

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

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

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

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

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

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


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

RelPro – Introhive Partnership

Sales Intelligence vendors RelPro and Introhive announced a partnership to deliver extended relationship insights and workflow integrations to joint customers in the Professional and Financial Services sectors.  The combined solution is immediately available to joint customers.

RelPro integrates content from seventeen data sources to deliver sales insights and contacts across 7 million companies.  Introhive adds relationship insights, data automation, and data cleansing tools.  The partnership helps “clients achieve greater sales efficiency and productivity” during the pandemic and recession.

“Our clients use RelPro to identify new prospects and ensure the contact information they have for those prospects is accurate and reliable.  Being able to map relationships that may already exist within their organization boosts the productivity of their business development professionals and increases referral traffic and collaboration.  With Introhive’s advanced relationship intelligence automation technology and data automation capabilities combined with our rich data coverage and quality, our clients can marry two best-in-class solutions to support and enrich their business development activities with little to no disruption of their day-to-day.”

RelPro CEO Martin Wise

Introhive boosts CRM adoption through automated contact data enrichment and uploads.  Introhive claims that it uncovers 350 additional contacts per user.  “The AI engine then maps these contacts to identify relationships across prospects and customer accounts.”  By reducing research and data maintenance overhead, sales and business professionals can focus their activities on prospects and clients, therefore driving customer satisfaction and the bottom line.

“With Introhive, users gain back roughly an average of 12 hours per week that would otherwise be spent on data entry or preparing for meetings.  Our Pre-Meeting Digest removes the burden of gathering information to ensure prospect or customer-facing professionals are equipped with everything they need before meetings, while Post-Meeting Reports allow for notes, tasks, and activities to be added to CRM directly from the user’s email inbox.  When we add RelPro’s database with our relationship mapping and productivity tools, customers can begin uncovering contacts and opportunities that were previously hidden.”

Introhive CEO Jody Glidden

Several months ago, RelPro released an integration with Vertical IQ to deliver industry intelligence to joint customers.  This partnership is bearing fruit as the companies have been providing referrals to each other in the financial services space.  Of course, integration partnerships also improve the stickiness of both solutions.

RelPro’s revenue is up a bit during the first half of 2020, and Wise is confident about H2.  Their business slowed less due to the pandemic than due to banks focusing on PPP processing for about eight weeks.  The banking business has since recovered as they look to provide “on the couch business development” to relationship managers and business development professionals across all segments of the banking industry.

Showing agility, the firm loaded the SBA PPP loan data into their platform and made it screenable.  Bankers and advisors can search the 660k companies who received loans in excess of $150,000.  The new dataset provides additional banking relationship data that complements UCC (liens) loan data already available through their service.

Introhive has over 240 employees with offices in the US, Canada, the UK, and India.  The firm supports over 100,000 global users.  Introhive was founded in 2012 with an initial focus on the accounting market.  It has taken an industry-by-industry approach and now supports global systems integrators, law firms, finance, commercial real estate, and, most recently, technology firms.

Introhive placed tenth on Deloitte’s Fast 50 with revenue growth of 1,700 percent over four years.

Clearbit for Clari

B2B Marketing Data vendor Clearbit partnered with Revenue Operations Platform Clari to deliver enriched contacts into CRMs.  Clari identifies external contacts from emails and meeting activity, helping fill out the buying committee.  According to Clari, only 30% of sales-engaged contacts are entered into the CRM.  By automating the contact identification process, sales reps have a clearer view of the full demand unit, allowing them to target messaging by function and recognize potential gaps in their knowledge of the buying committee.

By expanding knowledge of the demand unit, Clari can identify the broader set of decision-makers and reduce deal risk through multi-threaded relationship building.  Relying on one or two contacts has multiple risks:

  • The sales rep may not be messaging to the full demand unit
  • Their point of contact may be sidelined or leave the firm
  • Multiple points of contact may be set up dealing with different vendors, each providing a siloed perspective on the deal.
  • Post-sale, if users and administrators weren’t involved in the decision, adoption rates might be low, leading to higher churn rates.
  • The project champion may depart before renewal, forcing the rep to scramble to re-establish relationships at renewal time.

The expanded knowledge also helps marketing teams identify the key personas involved in deals and customize content and messaging.

“Now all the contacts that showed up for a sales meeting, even the ones that were added to the invite by the prospect, are automatically associated with the opportunity without your rep needing to lift a finger.”

Clari Marketing Programs Manager Maggie Kullman

Clearbit enriches the contacts with title, job function, and level. Firmographic and technographic details are also appended.

“As budgets get tighter and operating plans are reworked, having your prospects’ finance team involved early on is critical to accelerating the deal toward close,” wrote Clari Marketing Programs Manager Maggie Kullman.  “With the combination of Clari, Clearbit, and a little bit of automation, you can trigger an update to an opportunity field any time a CFO gets added to a meeting with the sales rep.  Now you can easily track which of your deals are missing a critical decision-maker and take actions to drive that relationship.”

Demand Units are a term coined by SiriusDecisions a few years ago when they updated their Demand Waterfall model for B2B sales and marketing. Each opportunity is associated with a set of decision-makers (e.g. technical, financial, functional directors) and influencers (e.g. users, admins). Demand Unit discovery is still in the early stages of development, but looking at email headers, out of office messages, and meeting attendees is a promising approach for organically identifying buying committee members.

Nudge.AI Bows Out with Class

Relationship strength analytics company Nudge.ai folded this week.  Nudge identified the corporate relationship strength with contacts and filtered the open web and social media to provide contact insights.  Relationship strength analytics has long been an area of unfulfilled promise going back to early Relationship Capital Management vendors such as VisiblePath.  LinkedIn is the only major firm that has successfully built such tools.  They provide lead recommendations, referrals, and TeamLink networking with colleagues, but relationship strength is not a focus of their offerings, but more of a side feature in Sales Navigator.

Nudge was available on the SalesLoft and Outreach partner ecosystems and the AppExchange.

One of 22 employee bios posted in the Nudge.ai Thank You coda.

Nudge did something classy when it folded.  It thanked its customers, employees, and investors in its coda.  They also turned their website into a thank you page which highlighted the strengths of each employee and provided a link to his or her LinkedIn profile. Because they were a startup, the bios are based upon knowledge of each employee and serve as a reference from management.

“While we can’t say we are “celebrating” failure today, we are thankful that the journey was possible.  Although the failure itself is sad, it’s only because it is the end of a journey that was so challenging and rewarding.  Every product innovation, customer win, market recognition, or challenge overcome was a step towards a goal we all were working towards.   We didn’t reach that goal, but because of everyone around us, we did have a chance to try.   And that – that chance to try – is worth celebrating.

Nudge.AI celebrating the journey

LinkedIn Network Building

I’ve been sitting on a Harvard Business Review article written by Doug Camplejohn since March due to a surfeit of news.  I figured that if I couldn’t slip it into my blog in August, I would never get to it.  August is when the press releases slow and there is an opportunity to speak about broader topics such as how to write a press release (or not write one).

The piece, titled “The Best Ways to Use Social Media to Expand Your Network” provides a set of social networking recommendations to business professionals.  Camplejohn is VP of Product Management at LinkedIn and heads up development on LinkedIn Sales Navigator.

Source: LinkedIn and HBR

Camplejohn’s advice takes a long-run strategic approach to building and nurturing a social network based upon ongoing engagement, asking for advice during transitions, and assisting others.  As such, his advice dovetails well with real-world approaches to building relationship networks.

Camplejohn begins by recommending that business professionals build their network with peers instead of focusing on seniority.  A peer-based network grows over one’s career, creating a network which matures with the professional.  Furthermore, senior-executive response rates are lower than mid-level managers.  Less than one percent of VPs and CxOs respond to cold reach out.

“People earlier in their careers respond most often to an initial message, while VPs and C-level professionals respond the least to people they don’t already know.”

Doug Camplejohn, VP of Product Management at LinkedIn

Initial messages should be short.  Camplejohn recommends three sentences that can be easily read on a mobile device.  InMail messages of under 100 words work best with response rates “decreasing significantly” beyond 500 words.

Camplejohn also advises a hook such as an alma mater, joint interest, or a mutual friend.  “According to our research, referencing a mutual connection boosts the acceptance rate of these messages by 51%, second only to attending the same school at the same time (53%),” wrote Camplejohn.

Camplejohn notes the value of asking for advice and leveraging transitions.  In fundraising, there is an adage, “If you go seeking advice, you get money; if you seek money, you get advice.”  Likewise, transition periods are an excellent opportunity to build your network and seek advice.

“If you’re in a transitional period — starting at a new company, switching industries, or moving to a new city — recognize the opportunity to reach out to people, ask for their advice, and absorb their wisdom.”

Doug Camplejohn, VP of Product Management at LinkedIn

Another recommendation is to pay it forward.  Don’t be looking for immediate benefits or strictly reciprocal opportunities.  Social networkers recognize that they are contributing to the commons, whether helping one person or adding to the group.  Sales reps and others should also continue to nurture their network, maintaining conversations with colleagues, clients, partners, and mentors.

“The best way to build a relationship is to help someone with joy and with no expectation of anything in return.  It feels good, it trains your own sense of generosity, and it informs you of what the other person values.  It also sets the stage for you to ask them something in the future.  You don’t have to offer to help in every circumstance, but make yourself available as a resource to people, particularly to people who are just starting out in their careers.”

Camplejohn concludes that online networking should be viewed as an extension of real-world interactions: “Connect with people personally by finding common ground, then build trust and long-term relationships, rather than one-time transactions.”

DemandBase: DemandGraph Company Ecosystem

Demandbase DemandGraph
Demandbase DemandGraph

ABM vendor DemandBase announced a new dataset it calls the DemandGraph which combines its WhoToo dataset of crawled business information with Spiderbook relationship data.  The expanded content set employs semantic mining and machine learning to assemble the “entire business network of a company” which helps  “identify which companies and buying committees are in-market for particular solutions.”  The DemandGraph helps users target in-market accounts, identify key buyers, uncover meaningful insights, and deliver personalized content.  While they have not announced specific predictive tools or capabilities, they are hinting at such tools.

This expanded information set of customers, partners, suppliers, competitors, and investments is built from:

  • Unstructured business knowledge such as SEC filings and annual reports
  • Demandbase’s proprietary identification technology that maps billions of network IP addresses to businesses worldwide
  • Complex corporate hierarchies extending beyond subsidiaries and remote offices to include vendor, customer and partner relationships
  • The digital footprint of web activity by businesses including ad impressions and web traffic from more than 3 billion B2B interactions every month

“DemandGraph isn’t exactly a product but rather a resource that Demandbase will use to power other products,” said analyst David Raab of Raab Associates.  “It lets Demandbase more easily build detailed profiles of people and companies, including history, interests, and relationships. It can then use the information to predict future purchases and guide marketing and sales messages. There’s also a liberal sprinkling of artificial intelligence throughout DemandGraph, used mostly in Spiderbook’s processing of unstructured Web data but also in some of the predictive functions. If I’m sounding vague here it’s because, frankly, so was Demandbase. But it’s still clear that DemandGraph represents a major improvement in the power and scope of data available to business marketers.”

The DemandGraph captures what I’ve long called the “company ecosystem” that goes beyond lists of competitors to include partners, advisors, investors, customers, etc.  An understanding of corporate relationships creates an opportunity to extend beyond traditional six degrees solutions when looking for introductions and relationships.  A few companies have attempted to gather this data, but none have figured out how to market this broader relationship intelligence outside of industry niches such as technology (e.g. DiscoverOrg, RainKing, HG Data), advertising (e.g. TheList/WinMo), and PE/VC datasets (e.g. CB Insights, Mattermark, DataFox, Crunchbase).

Likewise, when LinkedIn describes their Economic Graph, they are focused on people and their relationships to other people and organizations, not the relationships between organizations.

Demandbase claims that company relationships captured within their business graphs offer twenty times the predictive power of social network relationships.  Demandbase SVP of Technology Aman Naimat asserted that “DemandGraph has proven that it can be 7-8 times more accurate than an account executive trying to predict a potential customer, which provides better targeting and conversion.”

Chief Product Officer Alan Fletcher dubbed DemandGraph a “personal concierge” which supports personalization across all sales and marketing touchpoints. “That consistency in messaging throughout the whole sales funnel is what we’re trying to do, and you can only do that if you have the underlying data.  It’s what the best account managers already do today, but it obviously doesn’t scale. Large companies can only do it for their top 200 targets.”

Fletcher suggested that this relationship ecosystem is also predictive of investments, acquisitions, and potential partnerships but that the company is “focused on predicting the next customer.”  The DemandGraph provides insights into the culture of an organization.  “Do they do businesses with startups?  Do they only like to do business with established companies?  Do they typically sell t0 people that are only involved with McKinsey?” asked Fletcher.  “There are a bunch of signals that may not be directly related to you and your products.”