CrunchBase Launches Marketplace Partner Ecosystem

SimilarWeb Web Traffic Analysis within Crunchbase Pro.
SimilarWeb Web Traffic Analysis within Crunchbase Pro.

Crunchbase unveiled their long-planned Crunchbase Marketplace partner ecosystem.  Crunchbase signaled plans for the ecosystem a year ago when it announced an $18 million funding round.  Partner datasets are available via an “app store” connected to their subscription Crunchbase Pro data service.

“We see this as the next step in building the master database for companies online. We don’t feel like a single company can go out and get all the information that there is to get, which is why we have decided to partner.”

  • Crunchbase CEO Jager McConnell

Crunchbase has signed 13 data partners: SimilarWeb, Apptopia, BuiltWith, Siftery, IPqwery, Bombora, Owler, Financial Content, TradingView, Enigma, Wayback Machine, Aberdeen, and Wikipedia.  The span of partners is fairly broad and includes technographics, intent data, web traffic, app installs, government filings, and stock quotes.

The following datasets are live:

  • Crunchbase Pro – Funding data available for $29 / user / month
  • SimilarWeb – Web traffic and engagement (free)
  • Siftery – Tech Stack data for $49 / user / month
  • BuiltWith – Tech Stack data for $49 / user / month
  • Apptopia – Mobile app analytics for $49 / user / month

“We’re super excited about these partnerships because they are bringing up a ton of new data that we’ve never seen before,” McConnell added. “We think this is the first time that someone has taken all this data and put it all into one place. Looking further out we think that all enterprise software will be built on large data sets, and we think that we can be the trusted source for all that company information on the internet.”

Crunchbase is looking to increase the number of registered and Pro users on its site, so only registered users will have access to the marketplace.  Last year, Crunchbase had 40 million unique users, many of whom were anonymous.

Current licensors of third-party datasets do not have free access to the content via the Marketplace.  However, Crunchbase is evaluating a voucher system for dual licensors.

Crunchbase said it is unsure whether the current $49 per month fee will be modified.  For example, they are open to building solution bundles by function which support multiple datasets.  However, such a model has yet to be explored.  They are also considering a freemium model with in-app purchases of additional data beyond a limited number of free records.

Crunchbase will continue to focus on its strength: – the collection of funding data.  “Logo, name, address, funding, founding and investor data: we’ll always own that node,” McConnell told TechCrunch. “This is the reason why most come to us today and we don’t want to jeopardize this.”

Crunchbase would like to build out to one hundred partners over the next year.

Lightning Data Partners

HG Data Opportunity Record in SFDC provides technographic intelligence.
HG Data Opportunity record in SFDC provides technographic intelligence.

Salesforce has yet to provide a roadmap for, so we will likely have to wait until Dreamforce for details.  While legacy customers continue to receive Dun & Bradstreet content, new customers are limited to the Salesforce / Jigsaw company and contact file.  However, the firm announced a set of Lightning Data partners that will support ongoing account enrichment as native Salesforce Apps.

InsideView was an original partner on the AppExchange but was disinvited after rolled out. While hidden from AppExchange searches, the InsideView for Sales solution continued to be available to joint customers as a private solution. Furthermore, the firm built additional AppExchange marketing products to supplement InsideView for Sales. These services included Target, a company and contact prospecting platform, and Refresh, a data hygiene service that matched and enriched account records with InsideView intelligence. The two companies share over one thousand joint clients.

As an initial partner in Lightning Data, InsideView is offering two services: Append account record maintenance toward the end of Q4 and Discovery account prospecting in Q1 2018. Both are native Salesforce applications. Unfortunately, Lightning Data only supports Account record enrichment and prospecting. Thus, InsideView clients looking for prospecting against InsideView’s 13 million global companies and 33 million contacts may wish to evaluate InsideView Target instead of InsideView Discovery.

InsideView positions itself as a leader in Targeting Intelligence due to their capabilities across three dimensions: company and people intelligence (Who), business triggers sourced from the news and social feeds (Why), and network connections which support warm introductions (How).

With the launch of their new Lightning Data solutions, InsideView will have strategic relationships with the two most important CRMs: and Microsoft Dynamics.

InsideView CMO Tracy Eiler will be speaking at one of the Lightning Data sessions at this year’s Dreamforce as will other Lightning Data partners.


DataFox is offering twenty-two curated data points and five proprietary fields for DaaS enrichment. Amongst the curated fields are standard firmographics, tech stack, and funding data including investors, total funding raise, and last funding round details. Proprietary data includes signal count over the past year, industry keywords, and similar companies. Datafox’s “AI-sourced, human-audited company data” covers over two million companies. Pricing starts at $3,500 per year.

MCH enriches accounts with medical facility details.  Institutions include hospitals; medical practices; dental practices; nursing homes; home health and hospice; ambulatory surgery; diagnostic imaging; community health; urgent care; and public health departments.  Data is updated via a team of researchers annually who populate over seventy attributes across 636,000 facilities.  Pricing starts at $500 per year.

MCH has a broader sales intelligence solution in development which will support prospecting and access to two million medical practitioners and support staff.

Clearbit enriches accounts with over forty fields including firmographics, Alexa Rank, Social Accounts, and Technology. The service also includes company news. Pricing starts at $499 per month.

HG Data populates technology product, vendor, and product category information across account, contact, and opportunity records. Also included is an account ranking score based upon deployed technology and workflows based upon complementary or competitive products. Pricing starts at $5,000 per year.

Bombora enriches account records with intent data gathered from 3,500 B2B media sites.

Additional partner announcements are expected.

Enrichment Benefits

There are multiple reasons to enrich records with third-party reference data sets.  These include shorter web forms with lower abandonment rates, improving segmentation via standardized data with fewer data gaps, ongoing data maintenance, and enhanced targeting.

Sales rep benefits from enrichment include reduced data entry, improved lead scoring and routing, and improved intelligence for account qualification, planning, and messaging.  By enriching company information within the CRM workflow, sales reps have accurate, on demand account intelligence.

Research has shown that short web forms have lower abandonment rates resulting in a higher return on demand gen marketing (Source: DataFox).
Research has shown that short web forms have lower abandonment rates resulting in a higher return on demand gen marketing (Graphic Source: DataFox).

Lightning Data from SFDC

The new Lightning Data services on the AppExchange.
The new Lightning Data services on the AppExchange.

Salesforce announced the launch of two new AppExchange partnership categories offering native Lighting functionality: Lightning Bolts and Lightning Data. Bolts are Lightning Components which offer customer data and business logic.

Lightning Data provides new Data as a Service (DaaS) partnerships in the wake of the non-renewal of the Dun & Bradstreet – licensing partnership. Three of the partners were announced as Exchange partners at last year’s Dreamforce:

  • Bombora intent data enrichment
  • HG Data technology product / vendor data enrichment
  • MCH Strategic Health Care data

Salesforce did not list the Lightning Data partners, but the following additional vendors are part of the new ecosystem:

  • InsideView Discovery account prospecting and InsideView Append account enrichment
  • DataFox account enrichment
  • Clearbit account enrichment

Initially, Lightning Data only supports ongoing match and enrichment services for Account records. As many AppExchange partners offer batch and continuous services for Account, Contact, and Lead records, Lightning Data will need to round out its enrichment capabilities for it to become a full hygiene and enrichment solution.


Lightning Data is an indication that Salesforce never really bought into the idea of being a DaaS company. Since August 2011, they have promoted, but never fully committed to the data ecosystem they promised when they launched The original idea was to take the Jigsaw file they purchased in April 2010 for $142 million and integrate it with the D&B WorldBase company file. They were then going to partner with other leading data companies to integrate third-party data matched to either contact intelligence or D&B Account intelligence. These data sets were to be delivered via Prospector sales intelligence and the Clean match and append service.

It was the right idea at the right time. They were playing catch up with OneSource for Salesforce, InsideView for Salesforce, and Access Hoovers, but had the technical and financial resources to quickly leapfrog these offerings (Access Hoovers was phased out as part of the D&B deal). Furthermore, they had a first mover advantage in cross-selling to their customer base. It could have been a home run, but they rarely hit the ball out of the infield. What’s worse:

  • The Jigsaw file was never truly internationalized. It remained a U.S. contact file with underwhelming executive coverage for nine other countries.
  • The contact counts increased, but only because they were adding contacts at the same rate as they were decaying. Meanwhile, their top two contacts competitors, NetProspex and Zoominfo, continued to expand both their active and inactive coverage in the U.S. and internationally.
  • They never added biographic details or social links to the contacts file
  • Prospector features remained underwhelming. They would add small features such as improved industry and geographic screening, but not anything significant until 2016.
  • They quickly dropped all discussion about an ecosystem.

Then at Dreamforce 2015 and 2016 they seemed to have found their mojo, addressing key weaknesses such as pricing, sales intelligence (Hoovers profiles, First Research industry overviews), and a data ecosystem. hit a few doubles and outlined an aggressive 2017 and 2018 roadmap. It looked good. It sounded good. But then Salesforce severed their partnership with Dun & Bradstreet and now only legacy customers have access to Dun & Bradstreet content. For everybody else, there were nine months of deafening silence until yesterday’s announcement of Lightning Data.

The devolution of will not have a significant effect on Salesforce’s bottom line as it represents perhaps one percent of company revenue (hence, the lack of urgency in replacing Dun & Bradstreet content). Furthermore, the legacy offering will continue to be supported for several more years so the revenue decline will have little material impact. Perhaps we’ll hear about replacement content at Dreamforce, but Lightning Data suggests they are leaving B2B DaaS to partner companies.

Tomorrow I will be covering changes to the AppExchange along with additional details on the Lightning Data solution.

Intent Data — Why and When?

One of the important recent B2B MarTech innovations is the development of intent data from vendors like Bombora.  As prospects are now using the Internet to self-educate, they are reaching out to a smaller set of pre-screened vendors later in the sales cycle.  But if firms are being stealthy to avoid detection during this initial phase, B2B firms have been looking to uncloak this veil of secrecy and reach out to firms during the initial phase.

One response to anonymity was content marketing which looks to deliver information (and perhaps uncover prospects) during this early phase.  But it is difficult to customize messaging to anonymous individuals.  Thus sprung up visitor id services such as Demandbase that map IP addresses to company firmographics in real-time.  For example, a visitor from a P&C insurance IP address would be shown a website and content that speaks to their industry specific needs.

Firms also engaged in SEO and SEM to drive traffic to vertical content.  While these activities were an improvement, they provided no indication concerning whether the prospect was in the market for a firm’s solutions.

Intent Data Publisher Network and Tracked Activities (Source: Bombora)
Intent Data Publisher Network and Tracked Activities (Source: Bombora)

Firms like Bombora and The Big Willow work with B2B media sites to map site traffic and actions (e.g. downloading white papers, webinar attendance, site searches), to specific companies.  Thus, each IP address has a baseline activity trail which indicates topics of interest.  Intent firms then match B2B media site visitor actions to an intent taxonomy covering thousands of topics.  Of course, larger firms will leave more distinct trails and firms will display heavy footprints around their own industry and target segments.  These patterns are company-specific background noise.  To find the intent signals, intent vendor analytics determine which topics are surging at each company.  For example, If GE has X searches per week on cloud computing, then this activity rate is general background noise.  But if activity spikes to 2X, then there is likely to be some initiative underway at the firm concerning cloud computing.  It is these surges that identify firms to be targeted.  Intent data provides a mechanism for placing calculated bets on which accounts and prospects deserve additional resources.

Keep in mind, this activity remains anonymous.  A cloud computing vendor does not know who at GE is involved in cloud computing initiatives, but they know it is the appropriate time to target GE with stepped up marketing (SEM, email, sales calls, etc.).

Thus, intent data is integrated into predictive marketing platforms such as Lattice Engines, LeadSpace, Mintigo, Everstring, and Radius.

Just this month, Everstring added Bombora’s intent data to their Audience platform.  Surge data is also available for programmatic targeting on platforms such as BlueKai (Oracle), Krux, and Lotame.  Thus, it is possible to target advertising for firms that have shown a surge of interest in a topic.

Like any technology, intent data has its limits.  While it helps identify when to call into an account and topics of interest, it doesn’t identify whom to call and whether there is an actual initiative related to the topic.  Furthermore, intent data does not indicate whether a firm is a good fit (e.g. size, industry, technographics) or how far along they are in the discovery process.

In a blog earlier this month titled “Intent Data is Great. Except When it Isn’t,” Gartner Research Vice President Todd Berkowitz listed the following limitations concerning intent data:

There are a large number of scenarios where intent data and models don’t add nearly as much value (if any).  It’s not because the intent data is inaccurate. It’s because there is simply not enough data available to use directly or to put in models. They include:

  • New and emerging technology categories

  • Certain geographies, industries or other niches

  • Non-technology products

  • Solutions (especially services) that can’t be easily categorized

Thus, intent data works best for well-established technology segments (versus emerging ones).  Just make sure to also look at fitness indicators when building surge-based campaigns.


Within 15 minutes of posting this blog, I saw that Bombora was named a 2017 Cool Vendor by Gartner.

“We believe it’s a true milestone to be recognized by Gartner as a Cool Vendor in SaaS for 2017,” said Erik Matlick, founder and CEO of Bombora. “Our customers choose Bombora so that they may access the largest source of B2B intent data for use in their account-based marketing strategies. For us, being a ‘Cool Vendor’ serves as a validation of our ‘everybody wins’ approach to the ecosystem and the impact that our dynamic, quality intent data is having across B2B sales and marketing.”