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.

Qualified Signals

Conversational Sales and Marketing vendor Qualified announced select availability for its new Signals intent product.  Qualified Signals delivers sales intelligence gleaned from company websites, helping them identify in-market accounts and prioritize their outreach.

Qualified Signals is an “AI product that combines website engagement with Salesforce data to surface the buying intent of a B2B company’s target accounts; helping sales reps focus on exactly the right accounts to generate more pipeline and revenue,” blogged Qualified CRO Robert Zimmerman.

When ABM was proposed as the successor to lead-generation marketing, it focused on defining the ICP and targeting accordingly.  While the ICP concept is still important, it fails to recognize that at any one moment, most ICP accounts are not in-market.  Thus, a further refinement was in order, deploying intent (e.g., visitor intelligence, chatbots, third-party B2B website activity) and engagement data (e.g., email responses, meeting attendance, sentiment) to prioritize accounts so that sales reps focus on the accounts that are in market and marketing continues to nurture ICP accounts with low-level intent signals.

“Sales reps need a simple way to identify the accounts with high purchase intent so they can maximize pipeline more efficiently,” argued Zimmerman.  “Meanwhile, target accounts are poking around the website and signaling buying intent, but sales reps have no idea.  This is a missed opportunity because website engagement is a critical predictor of purchase intent.  It demonstrates patterns of website activity that indicate whether an account is sales-ready.”

Unfortunately, website activity is a “blind spot for salespeople” that leaves them “in the dark as to where to focus their attention, how to engage target accounts, and how deals are progressing.”

Qualified Signals employs an AI-predictive model that collects “hundreds of thousands of website data points to determine which accounts are in-market to buy and sales-ready.”  Models include website activity such as mouse movement, clicks, scroll depth, page views, active time on site, chatbot engagement, live chat, voice calls, meetings booked, recency and frequency of visits, and visitor count.

“In a booming sales tech market, there are countless sales intelligence tools out there, but they often overlook the most important sales and marketing asset—the corporate website,” said Qualified CEO Kraig Swensrud.  “Signals arms sellers with an entirely new type of buying intent data, so revenue teams know exactly which accounts to pursue to crush their quota.”

The Qualified Signals Account Trend Report analyzes buyer activity on the company website across a rep’s territory, helping her prioritize activity and identify accounts where activity is cooling.

Signals are displayed to sales reps in the Salesforce Account record and convert complex buyer behavior into straightforward trends such as cooling, neutral, heating, and surging.  Trend data “can also be customized using unique Salesforce Account data to home in on the accounts that matter most, like ABM tier, account owner, region, or industry.”

Signals optionally pushes custom Account intent fields to Salesforce, which can then be built into custom reports and dashboards.

Qualified also displays Signals Account 360, a dynamic graph that visualizes purchase intent fluctuations over time for individual accounts.  Signals are expressed as a current Heat Index temperature, dynamic trend, and detailed account activity view that replays account engagement at the contact level.  The account timeline “offers a detailed, highly visual, timestamped overview of notable website events that occurred throughout the buying process,” blogged Zimmerman.

The Account 360 view combines heat index trend data alongside visitor intelligence.

Additionally, Signals supports mobile, email, and Slack alerts when an account hits client specified thresholds on the Qualified Heat Index.  Alerts may be sent in real-time or included in a daily or weekly email digest.

“Qualified Signals amplifies Qualified X, bringing purchase intent data to the visitor level within your conversational sales and marketing application,” stated the firm.  “When a sales rep prospects into a target account, they’re instantly notified when that account arrives on the site.  Plus, they have all intent data at the ready. They can instantly meet with the prospect using a full stack of meeting tools, including chat, voice, and screen-sharing.”

Due to the complexity of visitor intelligence and similar data, intent signals have mostly been fed into marketing platforms and not converted into actionable semaphores; however, sales intelligence vendors have begun enabling these signals.

“The website is no longer just for marketers; it’s now a window into your biggest sales opportunities.  Sellers have their standard indicators that an account is interested, and a deal is moving forward; but in between the standard touchpoints, prospects are poking around your website, reading a customer story, or engaging via live chat.  Sellers have had limited insight into how target accounts are exploring this property, but the website is an amazing predictor of intent.  Now, Qualified Signals will surface this invaluable insight for revenue teams.”

Qualified CEO Kraig Swensrud

Qualified Signals will GA in early 2022.

Qualified closed on a $51 million Series B round in May that Salesforce Ventures led.  The firm describes itself as “the only conversational sales and marketing platform purpose-built for Salesforce Sales Cloud.”

Qualified Insights delivered via Slack and mobile devices.

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.

SalesIntel Launches Two Products

Sales Intelligence and B2B DaaS vendor SalesIntel announced two products at its inaugural SAS2021 user conference last month.  CEO Manoj Ramnani founded SalesIntel a decade ago as Circleback, a contact enrichment and syncing service for inboxes, but pivoted the firm to focus on high-quality B2B data three years ago and rebranded the company SalesIntel. 

SalesIntel was born “with a mission to provide quality data, timely intelligence, and streamlined workflow to help businesses achieve their growth objectives.”  Its guiding principle, and unique value proposition, is keeping humans in the loop.  Human-verified data is re-verified every 90 days, providing them with a 95% contact accuracy claim.

At launch, the company had 50,000 human-verified companies and one million contacts.  Three years later, the company has

  • 87 million machine-verified contacts
  • 10 million human-verified contacts, 90% of which are North American.
  • 14 million machine-verified company profiles
  • 3 million human-verified company profiles

They have also partnered with Bombora for intent data and an undisclosed vendor for technographics.

The first new service, Data Enrichment, provides company, contact, and technographic data enrichment for Marketo, Salesforce, and uploaded CSV files.  Data matching is performed against email, phone, domain, company name, and contact name.  Fuzzy logic is employed for company and contact name matching.

SalesIntel Enrichment Report in Salesforce.

The service includes a PDF downloadable enrichment report that details data quality and fill rates.  If the admin is concerned about the enrichment, she may roll back the process.

SalesIntel also supports webform enrichment.

InboxIntel supports contact data syncing and enrichment from Gmail, Office 365, Exchange, and IMAP.  New contacts are ingested from signature blocks, matched against the SalesIntel database, and uploaded to Salesforce.   It is important to note that SalesIntel is not uploading and storing the data in their servers to build out its dataset but simply using it to populate and enrich its customers’ CRM.

InboxIntel also checks to see whether other new contacts at the company match a pre-defined buyer persona.  The service then asks whether these additional contacts should be added to the service.

InboxIntel identifies additional contacts in target personas.

If both the company and contact are new to the CRM, records may be added to Salesforce as leads or accounts and contacts.

Both products are available as beta services through the end of the year. After that, they will be packaged as separate offerings.  Ramnani described them as “new modules of our Modern Go-to-Market platform that will help with the firm’s continued growth.”

SalesIntel has grown to 400 employees and 2,000 global researchers.  The company supports over 1,000 companies and nearly 10,000 users.

SalesIntel posted 200% revenue growth over the past year.

Dun & Bradstreet Acquires NetWise Data and Eyeota (Part III)

Dun & Bradstreet announced the acquisition of a pair of digital B2B data companies to support its Audience Solutions. (Part I). Today, I’m covering the Eyeota acquisition.

Eyeota supports a global methodology for onboarding offline and online data in a privacy-compliant and globally consistent way without the use of personally identifiable information (PII).

“In today’s market, brands need the ability to bridge real-world insights into the digital space in order to communicate more effectively with their customers and prospective customers,” states the firm’s About Us.  “Yet the market has never been so difficult for brands to navigate.  The challenge is finding the best ways to capture and activate audience data and to do so in a way that they can be confident is authentic, trustworthy and reliable.”

Eyeota builds audiences “based on what people are buying, watching, listening, reading, and interacting with in both the digital and offline world” that takes into account consumer demographics, behavior, and psychographics.”

Eyeota supports a broad set of global ad buying platforms, trading desks, DMPs, DSPs, and ad networks, including Adobe, Google Marketing Platform, Lotame, MediaMath, Neustar, Oracle Marketing Cloud, and Salesforce DMP.  Eyeota also supports social targeting on Facebook, Instagram, and Twitter.

“Eyeota’s expansive global data onboarding and activation capabilities are underpinned by our commitment to delivering audience solutions at scale, and we are proud of the work we have accomplished to develop one of the most powerful, agile, and interoperable frameworks for delivering addressable data in a privacy-conscious era,” said Kristina Prokop, Chief Executive Officer of Eyeota. “By combining forces with Dun & Bradstreet and NetWise, we will be able to offer a more holistic B2B audience platform to our clients, leveraging a powerful combination of data, technology, and insights that help clients better target and engage audiences across global markets and digital channels.”

Eyeota’s products extend the Audience Solutions business into campaign execution and “being online and participating more fully in the B2B MarTech and AdTech supply chain.”

Dun & Bradstreet is acquiring 100% of the outstanding ownership interest in Eyeota for an estimated purchase price of $165 million upon closing, subject to net working capital adjustment. The deal is expected to close by November 5.

Eyeota has 84 employees and grew its headcount 12% over the past year. Founded in 2010, it maintains four offices in the U.S. and outposts in Sydney, Tokyo, Singapore, Pune, Berlin, and London.

Yesterday’s blog about the NetWise acquisition.

Dun & Bradstreet Acquires NetWise Data and Eyeota (Part II)

Dun & Bradstreet announced the acquisition of a pair of digital B2B data companies to support its Audience Solutions. (Part I)

NetWise offers Dun & Bradstreet a B2B-to-consumer ID Graph that helps Audience Solutions compete in this broader digital context.  The Graph includes 30 million U.S. businesses, 100 million business professionals, 250 million opted-in consumer profiles, and 70 million consumer-to-business linkages.  At the audience level, NetWise supports over 500 standard B2B segments and 150 consumer segments.

NetWise extends D&B Audience Solutions’ identity graph “across every major online channel, individual device, or a marketing platform,” said Dun & Bradstreet CEO Anthony Jabbour.  “Just as our clients rely on the D-U-N-S Number for precision in their offline data, we’re looking to provide the same level of confidence and consistency online as well.”

NetWise adds a B2B-to-Consumer Graph for cross-channel, cross-device digital marketing.

NetWise excels at joining the offline and online worlds together to connect business personas to their online personas,” said NetWise CEO Dwight Gorall.  “We look forward to joining the Dun & Bradstreet family with Eyeota. Once together, we can work to create a complete solution for clients, enabling a full spectrum of capabilities – from audience creation to activation – at scale across many demand-side platforms, customer relationship management systems, connected T.V. or social media platforms. We are committed to helping global enterprises future proof their marketing strategies so they can thrive in a multichannel world.”

NetWise notes that it is the “original producer” of its B2B data products built from first-party data sources, including state and federal business filings, company websites, job descriptions, job postings, social websites, and business directories.  Moreover, the firm has unrestricted rights to use and sell its data.  Thus, it offers supplementary intelligence for enriching Dun & Bradstreet’s company and contact files.

According to its FAQ, “NetWise generates comprehensive and deterministic B2B segments using current job titles, company firmographics, and other self-declared business-related attributes like skills, education, certifications, etc.  This is accomplished by analyzing publicly available information and data created directly by persons in our dataset.  These data features are often multi-source validated across our compiled data.  Segments are deterministic, based on foundational information and never modeled unless explicitly indicated.”

NetWise is fully compliant with CCPA.  In addition, its Data Protection Officer is a California-licensed attorney.

Outside of the US, NetWise maintains 100 million global profiles that can be folded into WorldBase and 300 million non-EU global profiles.  NetWise does not build profiles on GDPR (EU) subjects.

Dun & Bradstreet is acquiring 100% of the outstanding ownership interest in NetWise Data for an estimated purchase price of $69 million upon closing, subject to net working capital adjustment.  The deal is expected to close during the fourth quarter.

NetWise is based in Boca Raton, Florida and has 47 headcount (as per LinkedIn).


Continue to Part III which covers Eyeota.

Dun & Bradstreet Acquires NetWise Data and Eyeota

As part of its Q3 2021 earnings discussion, Dun & Bradstreet announced that it acquired two digital marketing companies: NetWise and Eyeota.  The acquisitions “extend the company’s position in the B2B online marketing value chain and will build upon its rapidly growing Audience Solutions business by adding global scale and the online data to power omnichannel marketing around the world.”

“Dun & Bradstreet’s acquisitions of Eyeota and NetWise will cap-off several years of investment in the Sales and Marketing space, including the acquisition of our Customer Data Platform, Lattice Engines, which is at the core of our D&B Rev.Up platform, and the acquisition of Orb Intelligence to link digital and physical businesses in our Data Cloud,” said CMO Stacy Greiner.  “We are executing on our vision to help revenue-generating teams get out of the business of wrangling data and technology and back to engaging with their customers and prospects to drive growth for their companies.”

Dun & Bradstreet noted that marketers have a broad set of digital channels but are unsure whether their advertising dollars reach their targeted audiences online across multiple digital touchpoints.  The three companies “will be able to provide data and technology that empowers businesses to confidently identify, reach, and engage high propensity B2B audiences for multichannel marketing campaigns.”

“Our online Audience Solutions business continues to see robust growth rates, and we see a significant untapped opportunity in the online business-to-business marketing landscape. This led us to strengthen our position through the signing of definitive agreements to acquire Eyeota and NetWise,” said Jabbour.  “These two complementary companies will extend our position further in the B2B online marketing value chain and build upon a business that has grown over 40% year to date.

The acquisitions extend Dun & Bradstreet audience channels from B2B to B2B2C, helping businesses target business decision-makers at home and improving match rates.  The deals also provide Dun & Bradstreet with an international ecosystem of digital activation platforms.  Other vendors with B2B2C datasets include AnalyticsIQ BusinessCore and Data Axle B2CLink (FKA Execureach).

“This will enable clients to build on the investments they have made into Data Management mastered on the D-U-N-S Number, and more readily activate that data in social, search and display advertising campaigns,” stated the firm.

“We are solving for the current audience shrinkage these marketers face today with the low match rates that plague this industry.  This will enable clients to build upon the investments they’ve made into data management mastered on the D-U-N-S Number and more readily activate that data in social, search and display advertising campaigns.  Said simply, Dun & Bradstreet has the offline B2B targeting data, NetWise enables marketers to translate that data into online audiences, and Eyeota syndicates it across the digital ecosystem.”

Dun & Bradstreet CEO Anthony Jabbour

As Work from Home and Work from Anywhere are likely to remain the dominant approaches to professional work in the coming years, marketers need to engage business professionals across multiple devices, channels, and locations with a consistent message.  The acquisitions assist with both multichannel audience targeting and activation, tying together offline and digital.


Continue to Part II, which discusses Netwise, or Part III which discusses Eyeota.

Openprise $16M Series A

RevOps Automation Platform Openprise closed on an oversubscribed Series A last month.  The $16 million round was led by SIG Asia Investment, an affiliate of the Susquehanna International Group, with new investments from Banyan Pacific and Citta Capital.  Existing investors Alumni Venture Group and AI List also participated.

Funding will accelerate development on the Openprise RevOps Automation Platform and scale up the sales and marketing teams.

Openprise supports data management, enrichment, and hygiene across sales, marketing, customer success, BI, and analytics platforms.  Features include data deduplication, data onboarding, lead-to-account matching, lead routing, attribution, and account scoring.

Openprise RevOps automation capabilities.

Openprise cited a recent Gartner forecast that 75% of high-growth companies will deploy a RevOps model by 2025.  “A move from sales enablement to revenue enablement is needed in today’s rapidly shifting buying and selling dynamic to support this RevOps imperative.”

“Openprise is uniquely positioned to capitalize on the momentum in companies moving to a RevOps model,” stated Anne Marie McCallion, its PR rep.

“When companies move to a RevOps model in order to better align marketing and sales, they soon identify huge gaps in their joint processes and data that aren’t addressed by traditional marketing and sales automation solutions like Marketo, Salesforce, and Salesloft,” said Openprise CEO Ed King.  “Openprise is fueling the RevOps revolution by providing a single, no-code platform that can automate hundreds of RevOps processes and deliver go-to-market-ready data for the entire RevTech stack.”

Openprise customers include UI Path, Vimeo, Zendesk, Okta, Nutanix, Freshworks, Splunk, and Zscaler.

Openprise will face stiffer competition from RingLead, which was acquired by ZoomInfo in September.

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.

Chili Distro

Last week I wrote about Chili Events, the new event calendaring service from Chili Piper. Today, I am profiling their new Distro service which acts as a “one-stop-shop for lead qualification, routing, distribution, and booking.”  Distro routes and assigns multiple Salesforce objects in real-time, including leads, contacts, opportunities, cases, and accounts.

Distro expedites the inbound lead process by immediately routing prospects and customers to the correct sales rep. In addition, Distro supports lead-to-account matching so that inbound prospects are assigned to the proper account owner when applicable.

“Whether a lead comes through your organization’s web form or from an offline source, routing can get quite tedious,” explained Chili Piper in the product announcement.  “With the launch of Distro, teams can create intelligent rules to decide which lead gets routed to which rep (or group of reps) on the team. With this intuitive technology, hand-raisers will have the ability to book a meeting instantly, while buyers who need more nurturing are automatically assigned to the appropriate sales rep for follow-up.”

Chili Piper Distro qualifies, routes, and schedules meetings.

If rules do not assign a lead, round-robin assignments ensure that reps receive an equal number of leads.

Chili Piper has been busy with new product releases.  A few weeks ago, Chili Piper announced Chili Events, an Event Meetings Management solution for in-person conferences and trade shows.  The product lets Chili gather engagement data from events and manage pre-conference meetings on the floor as well as post-event meetings with reps. 

The firm also announced a HubSpot integration earlier this month.

“Today, capturing existing demand for a product or service, in real-time, is vital; yet, ensuring each lead is routed and assigned correctly is way harder than it needs to be. With Distro, we can help B2B sales and marketing teams automate the first step in a meaningful engagement and prevent leads from falling out of the marketing funnel. This is a crucial step for increasing inbound conversion rates and boosting revenue generation.”

Chili Piper CEO Nicolas Vandenberghe

Inbound and event lead management address the issue of speed-to-lead with which many B2B organizations struggle.  The average time for lead follow-up is 42 hours.  Automating the process greatly increases the likelihood of scheduling a meeting and converting leads to subsequent stages.

“Chili Piper allows you to connect inbound leads with a rep at the moment they’re interested,” blogged Senior Marketing Manager Maggie Aland.  “This increases your inbound conversion rates and prevents leads from falling out of the marketing funnel.”

Chili Distro is only available for Salesforce.