Demandbase Audience Management Destinations

ABX Platform Demandbase released one of its “largest product launches of the year”: Audience Management Destinations.  While the firm has long supported B2B Campaigns via display advertising and LinkedIn channels, Audience Management Destinations extends its reach into consumer platforms and social advertising.

“B2B buyers are people, too, and B2B marketers can and should be advertising on those channels,” said Demandbase CMO Jon Miller.

New advertising channels include Facebook, Instagram, Twitter, Google, YouTube, Bing, and Adobe Audience Manager.  Additional services will be rolled out next year.

Demandbase does not store Personally Identifiable Information (PII), so its social outreach is GDPR and CCPA compliant.  Instead, Demandbase leverages LiveRamp’s identity resolution, an opted-in identifier system that matches individual identifiers across platforms.

Demandbase also expanded its integration with LinkedIn.  Previously, it only supported account-level targeting on LinkedIn, but now marketers can target at either the account or person level.

Demandbase Targeting

Marketers will build audiences using a set of selectors that include first-party data, third-party data, intent, technographics, and activities. (See the image on the right).  They can then activate campaigns to their targeted buyers across the business and social web.

“This will allow a highly consistent customer experience across social networks and other platforms,” explained Miller on LinkedIn.  In addition, the new release expands marketing’s outreach and orchestration across a broader set of channels “using the account intelligence and the Demandbase One platform.”

“We’re constantly learning about how the B2B buyer thinks and acts, and this new account-based social targeting functionality plays a role in reaching buyers more holistically,” said Miller. “By viewing the buyer not just as someone within a target account or in a buying committee, we recognize that buyers are individuals, too.  This mindset shift — and the corresponding ability to engage with them as such across business and social platforms — gives our customers yet another advantage in today’s B2B go-to-market landscape.”

Demandbase claims that it is the only system that runs both “people and account-based plays from one system.”  Marketers can target specific audiences and “then automatically apply the most effective sales and marketing tactics to advance the account in its journey, across every touchpoint, and with the most relevant messages.”

Demandbase augmented its company and contact intelligence in April with the acquisitions of InsideView and DemandMatrix.  The two firms supplemented Demandbase’s firmographics, contacts, and technographics and provided Demandbase with a set of sales intelligence, B2B DaaS, and ICP/TAM tools. 

Demandbase supports its own intent data along with partner datasets from Bombora and G2.  TrustRadius is coming soon.

“Demandbase’s solutions are stronger in certain areas and helps drive top of the funnel engagement or audience targeting, while InsideView has been more focused on bottom of the funnel data.  We realized the two companies are quite complimentary and we could combine our customers to offer a much more complete solution to all of them.  Today we have an integrated top of the funnel to bottom of the funnel marketing and sales data provision to allow customers to look at the full funnel and identify a more appropriate addressable market, including what kind of technologies those companies use.”

InsideView CEO Umberto Milletti to MarTech Series this week

The three companies combined to create a four-cloud solution that supports Advertising, ABX Marketing, Sales Intelligence, and Data.

“What’s exciting about this is the ability to provide all of this to customers as one solution,” continued Milletti.  “We have done a lot of work since the merger was completed to combine all of our technologies and go to our customers with information on how much more we can do for them.”

Demandbase combined its Demandbase One platform with InsideView and DemandMatrix to support four clouds.

HG Insights Contextual Intent

Technology Market Intelligence vendor HG Insights announced the global availability of Contextual Intent, a “solution designed for companies seeking to leverage the power of customer buying patterns.”   Contextual Intent is available through HG Universe data subscriptions and the Snowflake Data Marketplace.  It is currently in “late-stage” beta on the HG Insights Platform, with a scheduled December launch.

Contextual Intent combines firmographics, technographics, contract intelligence (via their 2018 Pivotal IQ acquisition), and bidstream data to deliver “buyer intent data, without all the noise.”  It employs web users’ behavior and content consumption to determine which firms are researching, evaluating, or buying technology products or services.  In addition, Contextual Intent identifies in-market companies for new technology and potential churn candidates, helping prioritize outreach.

HG Insights ingests two billion intent records each week and matches them against 120 million verified technology installations for 14,000 products, solutions, and services.  The HG Insights scoring model measures the frequency of defined topics mined from locations, with observed activity tracked for nine million companies.

“Contextual Intent is the first intent solution to contextualize data with a company’s technographic profile. Our proven, data-driven methodologies now include the use of intent data—providing our customers with what they need to accelerate growth and gain a competitive edge through contextualized buying signals. Our new solution is designed specifically for Go-To-Market teams to remove the noise from intent data and make it actionable. Context matters, and we are able to provide insights that support hyper-targeting for growth and competitive advantage.”

HG Insights CTO Rob Fox

HG Insights cited January 2021 research from Ascend2 that asked sales and marketing professionals about intent data obstacles.  Half said that data quality was an issue, and 40% stated that it was challenging to make intent data actionable.

Revenue teams can select twenty to over 100 intent topics from HG Insights’ taxonomy which spans over 4,000 technology-based topics.

Contextual Intent identifies both buyers in the market and churn risk candidates.

HG Insights employs a scoring model based on the frequency of defined topics being researched across the web for each company.  It factors in the number of locations demonstrating the activity and baselines intent over time to determine the “increases and trajectories” of research.

Like intent models from other vendors, the Intent Score is measured as the deviation from a company’s baseline and normalized from 1-100.  It is updated weekly and incorporates past and present activity.  However, interpretation of the scores differs between vendors.  Concerning HG Insights, the signal strength is deemed high when the topical intent score exceeds 84 and medium when it falls between 60 and 84.

HG Insights provides intent location, a feature that is available from only a few vendors.  Knowing the research location helps identify the potential nexus of the demand unit (or at least the individuals performing initial research).

Contextual Intent supports multiple use cases, including whitespace scenarios (researching a new category of technology for the firm), expansion (current customer is researching additional products), displacement (potential customer take away), and churn.  Contextual Insights is tagging Whitespace, Expansion, and Displacement scenarios in its data feed, with Vendor Threat, Upgrade, and Migration tags in development.

“We provide insights surrounding the buyer’s journey about when the buyer is more likely to make a purchase decision. We can provide the context of when a customer indicates moving to an evaluating phase, further into a late stage buying cycle. We provide this context as researching or evaluating. We use NLP to determine when enough activity is detected that indicates a potential buying motion, where specific vendors or products are being considered.

Darcy Moss, HG Insights Product Marketing Director

The current offering employs bidstream data, which is potentially problematic as a long-term source of data gathering.  Congress has raised questions about the practice and tying online activity to individuals without consent is a violation of GDPR (Contextual Intent is tied to locations and accounts, not individuals).

“We are always evaluating additive intent supply to diversify our signals,” explained HG Insights Product Marketing Director Darcy Moss to GZ Consulting.  “We are sourcing from bid-stream as we develop and refine other techniques and methods.  Should any regulatory matters influence existing processes for us and the industry overall, we are confident that we will have a compliant and high-quality source and methodology to continue to provide Contextual Intent to our customers.”

For the direct data subscription product, customers have access to all topics regardless of their signal strength score.  Pricing for the data subscription is additive for the Contextual Intent offering.

Mediafly Revenue360

Mediafly recently released Revenue360, a revenue intelligence service that combines “content engagement, buyer intent, and sales activity data for a 360-degree view of opportunity and account health in one visual dashboard.”  The solution helps revenue teams assess opportunity health, improve forecasting, and accelerate revenue.

The dashboard brings together Mediafly’s content analytics with sales activity captured from Salesforce, SAP, or Microsoft Dynamics and 6sense intent data.  Mediafly argues that a broader view of engagement is required for analyzing deal health.

“Many companies claim to have revenue intelligence capabilities, but their solutions provide users with only partial intelligence.  In a digital selling environment, sales organizations can no longer rely solely on what happened in the meeting to accurately gauge opportunity health. They also need to understand how buyers engage with content outside of live sales interactions. With the most robust content engagement analytics in the market, Mediafly is uniquely positioned to bridge the gap, offering revenue teams full visibility into insights derived from engagement – or lack thereof – with the content that is presented, shared, and available online.”

Mediafly CEO Carson Conant

Mediafly argues that content engagement is a missing element in deal health analysis, with the average B2B Buyers consuming thirteen pieces of content across their journey.  Mediafly captures content consumption regardless of channel (e.g., in a content hub on the website, presented in a sales meeting, sent as a follow-up). In addition, Mediafly captures the assets viewed, time and duration viewed, and whether it was shared.

“A wealth of data often goes unnoticed in sales pipelines,” said Tom Pisello, chief evangelist at Mediafly. “Unfortunately, many companies rely on partial insights from CRM or qualitative feedback from sales reps following their meetings. While these insights are helpful, revenue teams have an opportunity to secure a holistic view of the entire deal pipeline, breaking down silos and gaining perspective into the overall health of an account. The addition of Revenue360 allows us to consolidate data and provide prescriptive recommendations unlike any platform on the market.”

The service is in limited release, with full availability planned for later this quarter.

IT Central Station $30M Series A

Tech review site IT Central Station closed on a $30 million Series A led by Invictus Growth Partners.  The site grew ARR 124%, surpassed 500,000 registered members, and was visited by 3.5 million enterprise software buyers over the past year.  The firm was bootstrapped in 2012 and has been self-funded until now.  It is both profitable and cash-flow positive.

The funds will be employed to rebrand the site as PeerSpot, expand its coverage of new enterprise tech categories, and accelerate sales and marketing.  Hiring will be concentrated in the R&D, Sales, Marketing, and Customer Success departments.

IT Central Station has focused on core IT sectors such as Cybersecurity, DevOps, and IT management; however, it does not have the profile breadth of some of the major review sites.

“Now we are expanding to categories where IT is not the primary buyer but is still on the buying committee,” explained CEO Russell Rothstein to GZ Consulting.  “Following that we will expand our coverage for all enterprise technology categories, including mid-market.”

The new brand and site will be launched in January 2022.

“IT Central Station has succeeded in building a platform that tech buyers trust and enables vendor marketers to achieve strong ROI,” said Rothstein.  “We are in the top of the first inning in our plan to build the world’s largest B2B marketplace for enterprise technology, built upon a foundation of verified user-generated content and peer reviews.  The Invictus team adds deep operating expertise, including a uniquely valuable approach to data science, and I am thrilled to have Invictus as our partner for the next stage of our growth.”

Rothstein explained that as a bootstrapped company, the firm didn’t have the marketing resources of other sites, so he focused on the depth and value of reviews, high-quality intent data, and building its customer success team.  Along with rapid revenue growth, the firm posted a net retention rate of 142% last year.

“People trust their peers more than any industry analysts or so-called experts,” said Rothstein. As a result, younger tech buyers expect to “go online to tap into the knowledge of their peers as part of the buying process.  It’s just natural for them.”

Rothstein argues that IT Central Station’s reviews are “the most in-depth,” with an average length of 620 words.  In addition, it offers a “Zero Fake Reviews” commitment, with a triple authentication process (LinkedIn profiles, community policing, and human oversight) for validating reviews.  First, reviews are checked to ensure the individual does not work for the reviewed company or one of its competitors.  The job function is also verified to ensure that a qualified individual wrote it.

“Every review has to have pros and cons. We don’t accept any five-star ‘everything’s perfect’ reviews without any room for improvement,” explained Rothstein.  “Reviews have to have both room for improvement as well as value that you get from the product.”

Conversely, IT Central Station also filters out reviews that are purely negative rants.

“If someone’s having such an extreme opinion, then they’re not really presenting a realistic picture,” continued Rothstein.  “It’s just losing credibility.  People aren’t going to believe the review and it just reflects poorly on the review site itself.  So we really aim to get that balance in every review.”

Rothstein explained that IT Central Station has a strong community that both polices the site for biased reviews and supports active Q&A discussions.

Profiles include an overview, filterable reviews, pros and cons, pricing, alternatives, “Many of our customers generate millions of dollars in pipeline and closed business from IT Central Station leads and intent data,” blogged Rothstein.  “They’ve given us high marks with an average 70 Net Promoter Score (NPS) over the past four quarters. That’s world-class NPS, putting us at the level of Apple and Starbucks.”

IT Central Station profile of MS Azure.

IT Central Station argues that review sites mostly attract “high intent buyers” in the decision phase of the buyer’s journey.  Furthermore, Demand Gen’s 2021 Buyers Survey found that most purchasers reached out to peers and existing users before contacting any vendors.

“People don’t read complex product reviews just for kicks – they are looking for help in choosing what product to buy,” added IT Central Station Content Manager Rony Sklar.  “B2B buyers who are about to spend a lot of money on an enterprise solution want to know what their peers’ experiences have been with the solutions they’re considering before making a purchase.  Because review sites have this highly targeted, homogenous audience whose main logical use case for a review site is researching a purchase, all the site visitors exhibit a degree of intent. Unlike other types of data, this intent data is low funnel and has a high degree of accuracy because there is no guesswork involved. The intent data generated by a review platform shows you exactly which companies are researching you and your competitors.”

Along with CSV files and webhooks, IT Central Station delivers integrated intent data to Salesforce, Demandbase, and LinkedIn.  In addition, the firm will be announcing support for 6sense, Marketo, HubSpot, Outreach, and Metadata in the coming months. 

“We can provide [intent data] at the contact level, but also aggregate it at the account level, as we can associate multiple people at the same company,” stated Rothstein.  “We provide a proprietary Buyer Intent Score for each account that incorporates activity done both at the contact and overall account level for each account.  For contact level, we provide email, phone, title, function, job level, and BANT information.  We also provide product interests per contact, so you can see which products the contact is researching and comparing, with the level of depth of their research.”

Intent data is updated daily. “Making the right enterprise software purchasing decisions has never been more mission critical for the success of growing businesses and the careers of enterprise software buyers,” said Invictus Managing Partner William Nettles.  “IT Central Station’s reviews have proven to be a must have for enterprises to validate the performance of their products, while providing buyers the most trusted and reliable data for their buying decisions. We are thrilled to partner with Russell and his team to help them scale the business to the benefit of enterprise software buyers globally.”

Bombora in D&B Hoovers

Search Results include Bombora Intent Badges.

D&B Hoover’s customers can now view and build lists of in-market accounts using the Bombora intent file.  Users can set up SmartLists (dynamic lists) with a combination of account and intent data to identify in-market ICP accounts.  The list is then displayed on the sales rep’s desktop and daily email digest.

Target lists can be assembled from over 175 selects that span company, contact, intent, and technographics.  Bombora intent data is gathered from over 4,000 B2B media website and span 7,000 pre-defined topics.  70% of the websites are exclusive to Bombora.

Dun & Bradstreet provides a sophisticated approach to selecting intent topics that tie to business strategy.  Instead of simply choosing the obvious topics, the firms recommend that customers employ topic clusters, “a group of like-minded Intent topics [that are] representative of all facets of a product or service.”  Clusters would include

  • Brand/Products (core): Brands, products, key functions
  • Competitors/Partners: Brands and products of competitors and partners
  • Industry/Vertical: Strongly associated categories, use cases, and product/service capabilities
  • Pain Points/Challenges: Pain points, issues, expected outcomes
Multiple intent topics may be monitored in a SmartList.

Dun & Bradstreet has removed intent scores, which are often confusing.  By creating clusters, topics are either surging or not, with no interpretation required.  Instead, the number of clustered topics serves as the indicator of surge strength.

The firms recommend that content be adjusted based on the number of intent topics identified for a prospect.  Sales and Marketing should “serve higher-level or awareness-based content to those showing interest in one or two topics, and lower-funnel content to those showing interest on many topics.”  Furthermore, prospects with many surging topics are probably closer to making a purchase.

D&B Hoovers also added 4 million direct dial numbers to their database, bringing the product total to 6.2 million.  Direct dials contain a set of standard and mobile numbers, so users should hover over the direct dial number to determine the phone type.

“As more business contacts work from home, direct dials are essential to engage customers in real-time, from anywhere,” wrote Product Management VP Phil McWade.  “Access these numbers in the lists you’ve already created, when viewing a Contact Profile, or within Contacts Search & Build a List results.”

D&B Hoover’s coverage has grown to 209 million global companies and 235 million contacts

BNZSA Enters “Hypergrowth Phase”

European IT Sales and Marketing Agency BNZSA announced that it is enjoying “hypergrowth” with 274% year-on-year revenue growth in Q2.  Bookings are up 176% year-to-date.  It is forecasting 300% annual growth in 2021.

During Q2, BNZSA added 25 new clients and doubled its multi-national team.  It hired 163 employees, evenly distributed between their offices in Madrid and Tangiers.  BNZSA employs more than 300 employees from 34 nations, allowing it to broadly deliver tele-based lead generation services in sixteen languages across EMEA.  BNZSA has also been expanding its lead generation services in the Americas.

Q2 net revenue retention rose to 190%.

BNZSA doubled its campaign delivery load in H1, completing 433 lead generation campaigns.

“Coming off the back of a record-breaking 2020, we planned for 2021 to be a year of hypergrowth.  By January, a lot of meticulous planning had been done – in business development, client services, data, IT, and HR – to ensure that we are able to effortlessly scale up throughout the year and meet unprecedented client demand.

“The phenomenal performance in the first half of the year demonstrates the unique value BNZSA brings to the B2B IT lead generation marketplace. It also indicates that demand for enterprise hardware and software solutions is very strong globally. We are seeing businesses aggressively investing in their infrastructures to enable their teams to operate effectively from wherever, and to ramp-up their agility in responding to customer needs.”

BNZSA CEO Brahim Samhoud

BNZSA’s agents place more than 1.5 million calls a year, delivering a 96% lead acceptance rate.

Earlier this year, BNZSA launched its Intent Activation Engine.  The service identifies, tracks, and activates buyer intent.  BNZSA combines technographic, firmographic, intent, NLP, and B2B telemarketing data to deliver a set of intent-activated leads.  Agents then initially join calls to foster “warm handovers” to their clients.

Along with tele-based demand generation, BNZSA supports buying committee identification; intent, firmographic and technographic insights; and prospect engagement.

“BNZSA is built on four core values – people, highest quality, extra mile, and changing the industry,” Brahim added. “Our business is all about people and the relationships we build with clients and their prospects.  We’re obsessed with the quality of the information we hold, how we use it, and the insights it brings to client programmes – as well as the quality service we deliver daily.  Going the extra mile is not a nice to have, it’s how we operate.  Bring all of this together and we’re changing the industry by default.”

Headquartered in Madrid, BNZSA is well-positioned to conform to GDPR and country-specific data privacy regulations.  It was founded seven years ago as a marketing agency focused on tele-based demand generation.  It has steadily grown at 30% per annum since launch and grew revenue by 38% last year before entering its hypergrowth phase this year.

BNZSA has over 100 clients, including Acer, Dell, Fujitsu, HP, Intel, Juniper Networks, Oracle, Samsung, and SAP.  Growth is combined with a 95% client retention rate.

Slintel Series A

Intent-powered Sales Intelligence vendor Slintel closed on a $20 million round A led by GGV, with participation from Accel, Sequoia, and Stellaris.  The Bengaluru-based company is looking to expand its presence in the US market and strengthen its product.  Slintel, with 100 employees, plans to double its headcount by the end of the year.

The company still has cash from its $4.2 million November seed round but felt it prudent to proceed with an A round earlier than planned.

“We had enough cash in the bank, but investors came to us, and we got a pretty good valuation compared to the previous round, so we decided to take it and use that money to go faster,” said CEO Deepak Anchala.

Revenue grew 5X last year and was on pace to grow 3X before the Series A.  Anchala contends that the growth rate will accelerate with the additional capital.  “With the funding, we’re actually looking at much bigger numbers. We’re looking at 5x in our revenue this year and also trying for 4x revenue next year.”

“Slintel has one of the best go-to-market engines that we’ve seen in any startup, and the consistency with which the team has been able to deliver on their growth targets is commendable.  We’re looking at a company that’s changing the marketing and sales intelligence sphere as we know it, and we couldn’t be happier to be a part of their board,” said Prayank Swaroop, Partner at Accel.

Anchala told TechCrunch that since the round closed six weeks ago, the firm increased its investment in product and marketing.  The advertising budget was increased, with the firm looking to generate prospects via SEO, free tools on the company website, and events.

“The next big wave in the enterprise space is (the) use of AI to rethink processes, and all AI at its core requires data.  I am, therefore, bullish on the entire data stack, including data which is either proprietary or inferred data that is not easy to replicate. Slintel is in the second category. Their ability to predict strong prospects is a relatively unique capability, and it is very easy to sell due to a direct correlation to (the) top line for their customers.”

Alok Goyal, Partner at Stellaris Venture Partners

The Slintel platform delivers technographic and company insights, buying propensity scores, contacts, and lead enrichment.  Slintel identifies thematic intent signals (i.e., sales triggers) such as upcoming contract renewals, companies that show signs of buying their products online, or companies that use their competitors’ products.  Slintel captures hard to detect signals from the web, combines this with other third-party intent signals from its partners, and surfaces these insights via integrations with Salesforce, Pipedrive, HubSpot, Slack and Chrome. 

“Our customers no longer waste precious time and effort reaching out to and targeting the wrong prospects,” blogged Anchala.  “They are able to accurately determine who their high-intent buyers are, whether a target account is already using their competitor’s product / service, when the renewal date for a prospect’s current solution is coming up, or the budget restrictions that they have.  All this and more, even before scheduling a discovery call with them.”

Slintel “mines buyer insights,” said Anchala.  “We understand where the buyers are in their journey, what their pain points are, what products they use, what they need, and when they need it. So we understand all of this to create a 360-degree view of the buyer that you provide these insights to sales and marketing teams to help them sell better.”

Technology intent is based upon digital footprint tracking that analyzes when new technologies have been adopted or dropped.  Technographics span 25,000 technologies across fifteen million companies and are updated weekly.  AI models project when contracts come up for renewal, which technologies are likely to be purchased next, and when they will move forward with the purchase.

Thematic intent is based on keyword analysis that suggests company pain points.  Slintel “analyzes how many times companies have been talking about a certain keyword [and] how frequently and recently they have been emitting this pain point.”

Propensity-to-buy scores are derived from over twenty-five variables, including contract renewal dates, technology adoption/churn, keyword Intent, budgetary spending, and hiring trends.

“We have taken a contrarian approach by focusing on the buyer funnel, which is an inverse of the sales funnel,” said Anchala.  “We analyze buyer journeys and buying patterns of companies to capture early signals of buyer intent.”

“While most other data intelligence platforms provide insights based on search patterns, Slintel’s proprietary algorithm provides prospect recommendations based on technographics-powered buying intent,” states the firm.  “Using Slintel, you can predict who’s about to purchase your product and market or sell your product to prospects even before they move on to the research phase of their buying journey.”

Slintel has employees across ten cities in India and the US, with plans to remain a remote-first organization.

Slintel has been growing headcount rapidly over the past two years (Source: LinkedIn).

Slintel also announced that Hans Tung, Managing Partner at GGV Capital, joined their Board of Directors.

“With the global pandemic completely changing the way companies operate, B2B transactions have gone more digital than ever before,” stated Tung.  “Inside sales teams are closing high-value, multi-million-dollar deals while working remotely, and products like Slintel are enabling companies to do this by helping them reimagine their entire sales process for today’s environment.”

Cyance Funding Round (Part II)

Cyance Account-level Intent Insights for first and third-party intent.

(Continued from yesterday’s article)

Cyance’s intent signals are gathered from 55,000 publisher sites and capture 24 billion monthly events.  Six months of trend data are analyzed. Cyance intent monitoring supports six languages: English, French, German, Spanish, Italian, and Dutch, with additional languages planned.  Roughly 40% of signals are gathered from Europe, 40% North America, and 15% AsiaPac.

Cyance already tracks 140,000 intent keywords and allows new custom keywords to be defined for each customer.  Keywords are then mapped to custom topics which reflect each customer’s products, services, and value proposition.  Custom keyword tracking allows for greater granularity and transparency in their intent data and enables the accurate identification of intent signals and custom topics.  Additional global, unified taxonomies are scheduled for a Q3 release.

Our proprietary, highly accurate intent data and ABX platform means our customers’ sales teams have more targeted insights based on the most accurate, geographical data possible at their fingertips.  In this way, we enable better conversions throughout each stage of the sales funnel, as well as helping them to retain and grow their existing accounts. For large organisations seeking to successfully identify and close new clients, having the right data is crucial.  Other intent data providers on the market today simply aren’t capable of providing sales teams a fully customisable view into what their prospects and clients are searching for in large-scale enterprise IT solutions.  At Cyance, we fill the gap in the market for European buyers seeking regional intent data that provides highly accurate, GDPR compliant insights into user intent.”

Cyance CEO Bulent Osman

Cyance has firmographic information for 100 million companies and locations (along with linkage for rolling up intent) and intent signals for 40 to 50 million global companies.  Firmographic information is supplemented by technographics and GDPR-compliant contact data licensed from a well-regarded European vendor.

Cyance supports both FIT (Firmographic, Intent, and Technographic) and TCR (Timing, Context, and Relevance) models.  FIT models combine an Ideal Customer Profile (ICP) with behavioral account scores that trend intent over time, looking for spikes in activity.  To simplify intent data for sales reps, they employ a semaphore (colored light) display system. 

TCR analyzes Timing, Context, and Relevance in determining intent:

  • Timing looks at the buying stage of the intent behavior to help improve the prioritization of accounts subject to customer/prospect strategy mode (e.g., acquisition, retention, or expansion).  Cyance weights intent signals that are mapped to a buying stage.
  • Context combines buying stage with the best-fit personae most likely behind the research at each buying stage.
  • Relevance maps all intent signals to customer topics (customer products or value propositions).  This makes it easier for customer teams to translate behavior into best-fit product and content alignment.

TCR maps intent signals to buyer stage (early, mid, late) and value proposition, enabling acquisition and expansion intent to be treated differently than retention intent.  Acquisition and expansion look at current activity vs. baseline for early buyer stage, while retention looks for mid-to-late research signals, indicating an existing customer may be researching competitive solutions. 

Cyance supports integrations with Salesforce, Drift, and HubSpot, with Outreach and Marketo coming soon.  For programmatic, Cyance offers integrations with LinkedIn Campaign Manager, LiveRamp, Avocet, and theTradeDesk.

Cyance’s primary customers are in technology and financial services.  85% of its revenue is generated in Europe and 15% in North America.

Cyance does not disclose its pricing but bases it on the geography licensed and the product tier. Cyance is headquartered in the UK, with remote sales reps on the continent

Cyance Funding Round

Cyance list of accounts with spiking intent.

European third-party intent data vendor Cyance closed on an £860,000 funding round that included existing investors Blackfinch Ventures and Nexus Investments.  The funds will be deployed for ongoing product and market expansion, including enterprise customer expansion in Europe and ABX platform development.

Last year, the firm doubled its headcount, grew revenue by 18%, and raised ACV by 30%.  It also shifted from being an intent data vendor to an ABX platform.  As with many other MarTech vendors, revenue flattened in Q2 of last year and began growing again in the second half of the year.  They have built significant momentum in 2021 and are on pace to nearly double ARR this year.

“The fact that we’ve seen such solid commercial and financial performance over the past 12 months, despite the tough market conditions, demonstrates the appetite for accurate and localised intent data and the enormous potential within this market.  And as businesses start to look beyond the pandemic and the economic recovery gathers pace, we expect demand to increase further.  Taking on this new investment allows us to strengthen our team and further invest in our product.  We’re now perfectly placed to take advantage of these new opportunities and cement our position as the leading ABX platform with unique intent data for European buyers.”

Cyance CEO Bulent Osman

According to CPO Jon Clarke, Cyance is “rapidly building out an ABX platform proposition” that drives better decisioning and aligns sales and marketing teams.  The platform serves both sales and marketing teams, promoting revenue team collaboration, cohesion, and efficiency with a unified versus siloed data platform.

As with other vendors that have recently begun using ABX instead of ABM, Cyance emphasizes account-based programs and processes across the full revenue team and customer life cycle.  ABM has long emphasized sales and marketing alignment, but the bulk of product development has been marketing-centric.  The shift to ABX captures both the broader vision of ABM and a greater emphasis upon the customer experience across the full lifecycle.

“Cyance has transformed account-based marketing by developing and integrating a sophisticated SaaS solution with global, third-party intent data which addresses the needs of the European market,” said Reuben Wilcock, Head of Ventures at Blackfinch Ventures.  “They have demonstrated solid growth from global B2B brands in the last 12 months, despite the challenging times we find ourselves in.  We’re excited to continue supporting Cyance as it helps some of the world’s leading companies to transform their demand generation and account-based marketing programs and achieve more efficient ROI.”

Their January release sports improved intent signal tailoring and segmentation, beefed up technographics, new customer dashboards, and improved service and support.  The platform offers an updated UI, enhanced ICP definition, and buying journey stage identification.


Coverage continues with a discussion of Cyance’s database and intent models.

Bombora Growth Capital Financing; Implements BERT

First and third-party intent data vendor Bombora closed on $20 million in growth capital financing from Runway Growth Capital.  The cash infusion “will be used to help Bombora capitalize on market opportunities, build stronger partner relationships, and accelerate its pace of innovation.”

The funds will help them expand data partnerships across the sales and marketing ecosystem. 

“We want to make it easier for brands and their agencies to use it in their own stacks and chosen solutions, and for our platform partners to enhance the value of their own offerings,” said Bombora CEO Erik Matlick.

The firm is also looking to “deliver solutions that enable addressable advertising across the cookieless landscape for publishers and partners alike,” Matlick told Adweek.

“The B2B intent data market is growing quickly, and marketers are seeking better, more efficient ways to identify and engage with in-market prospects. We have been impressed with Bombora’s expertise, and its ‘data collective’ approach really stood out to us in the market.  This partnership adds to Runway’s already strong history of supporting key players in the data and marketing technology space and we are excited to have Bombora join our portfolio.”

Mark Donnelly, Managing Director, Head of Origination at Runway

In other news, Bombora announced that it implemented BERT-based natural language processing in its intent categorization, resulting in a 26% increase in topic prediction.  BERT (Bidirectional Encoder Representations from Transformers) looks at the context of each occurrence of a word.

“Bombora’s engineers and data scientists never stop looking for ways to serve our customers better,” said Bombora Data Science VP Nicholaus Halecky, Ph.D. “The BERT-based B2B Topic Classifier demonstrates a substantial performance increase in Company Surge intent signal quality, and we know this will improve our customers’ business results.”

The BERT implementation was spearheaded by former PwC and DialogTech data scientist Amber McKenzie, Ph.D., who joined Bombora as VP Data Science. BERT is an open-sourced NLP developed by Google.  It was implemented in Google Search in late 2019 and has since been deployed by Microsoft, Facebook, LinkedIn, and Wayfair.  BERT distinguishes meaning by assessing word order context, seeing the difference in meaning between “the stock of apples has dropped” and “Apple’s stock has dropped.”