Content intelligence vendor PathFactory announced a partnership with ABM Orchestration vendor 6Sense to “give marketers complete visibility into the quality of account engagement, as well as what content and topics are accelerating them through their customer journey.”
partnership taps 6Sense’s account identification capabilities and combines it with
PathFactory’s content consumption data, providing richer account engagement
intelligence. “They can even watch a buying committee’s activities
populate and track their journey in near real-time,” said PathFactory.
Account intelligence is synced with the CRM and displayed to sales reps,
helping them understand which content and topics resonated at target accounts.
offers a set of content tracks, either defined by marketing or PathFactory’s
AI. Content tracks are a sequence of relevant content associated with
specific calls to action. Content tracks “keep people engaged longer and
helps them self-educate” while encouraging them to “binge on your content.”
By assessing which individuals and accounts are binging on account tracks,
PathFactory can determine when accounts are “getting serious.” Highly
engaged accounts are more likely to turn into deals.
insights suggest the next best content and next best action, with PathFactory
personalizing content tracks in real-time. PathFactory tracks engagement
at both the individual and account level while assessing content attributes
such as type, topic, and reading length.
“While B2B marketing organizations have invested heavily in ABM over the past several years, many marketers still struggle to successfully execute campaigns, scale programs, and report on results. We are confident this integration will give marketers the unprecedented ability to optimize the customer journey and generate revenue from their ABM efforts.”
Dev Ganesan, CEO of PathFactory
PathFactory clients do not require a
separate 6Sense license.
“PathFactory and 6sense are marrying
two of the most critical data sets necessary for successful ABM execution,”
said Jason Zintak, CEO of 6sense. “With 6sense’s industry-leading account
identification capabilities and PathFactory’s content consumption data, sales
and marketing teams can get deep insight into anonymous buying behavior of
individuals and accounts, and deliver hyper-personalized content journeys.”
PathFactory placed 186th on Deloitte’s Fast 500 list, and Gartner named them a Cool Vendor in their 2019 Technology Marketing category.
Sales and Marketing Intelligence vendor Zoominfo acquired Redmond, WA startup Komiko. The deal extends Zoominfo’s sales AI capabilities with CRM automation, playbooks, lead scores, and predictive analytics.
analytical and recommendation tools support sales, account executives, and
customer success teams.
“Organizations are realizing that how they manage and leverage data is a strategic function that can accelerate or inhibit lead, pipeline, and revenue generation. While our offering is a SaaS platform for GTM, we feel ZoomInfo is in the business of helping marketing and salespeople hit their numbers. So, when we see an opportunity to build or buy additional capabilities essential to strengthen that edge — as we did with Komiko — it’s an easy decision.”
Zoominfo CEO Henry Schuck
Komiko employs machine learning and data science “to
better automate CRM processes.” InboxAI gathers contact and activity data
from email inboxes and calendars and populates the CRM. The mined
intelligence also triggers alerts and generates “analytics essential to
supporting renewals, managing new business pipelines, and more.”
Komiko offers a “data-driven platform” which helps
reps understand the likelihood of each opportunity closing. The platform
also captures all customer-facing interactions and contacts. Komiko
claims to “make it easy to see who is interacting with the customer and what
activities are taking place.”
Komiko data includes the strength of connection with
each account (k-score), the relationship of contacts at accounts, the last
communication with the account (outbound or inbound), and key contacts at
Komiko integrates sales playbooks into the CRM and
recommends when to deploy them.
customers will continue to receive the Komiko service with no changes in
support or service.
InboxAI is already deployed at Zoominfo. The firm discovered 60,000 records that had not been logged into Salesforce. “We found a number of accounts where we were only talking to one buyer – when we know that we need four buyers engaged to get across the finish line. InboxAI not only completes our CRM, [but] it gives us the visibility we need to push the right opportunities at the right time,” said Zoominfo CRO Chris Hays.
Komiko functionality will be integrated into the
recently launched Zoominfo powered by DiscoverOrg platform.
Komiko is GDPR compliant and qualifies as a data
processor. It supports the right to be forgotten through a blacklist of
blocked emails. The system also deletes any historical emails related to
Komiko does not monitor internal emails and includes
an external blacklist for blocked processing. Thus, HR, Payroll, Board,
and Legal department communications will not be ingested. Komiko does not
add Salesforce accounts but employs Salesforce accounts as a whitelist.
Komiko also positions itself as a “dynamic coaching”
service which goes beyond informal or “formal, random” processes:
Dynamic coaching is not just a buzz word. It has been proven that taking this approach makes a big impact on win rates. Since taking the dynamic path means defining a formal process combined with your CRM to monitor, evaluate and support your coaching processes…Komiko builds playbooks based on your definition of success, the accounts segments you identify and the input from email capture and CRM. Your playbooks will outline actions that drove success in the past. Each recommended action will include recommended target and its weight (significance) to the overall success. Komiko will enhance your team’s efficiency by triggering call-to-actions based on the customer profile and playbook in real-time.
Komiko claims that clients can “get up and running”
within 24 hours after only 30 minutes of work. They support “customers of
all sizes” across software, healthcare, distribution, professional services,
and insurance. Clients include Adecco, Tata Communications, Pemco
Insurance, and Chorus.ai.
Terms of the
deal were not released.
founded in 2015 by former Microsoft engineers Hal Howard and Ami Heitner. Owler
lists Komiko’s revenue at $3 million. However, marketing activity (blogs,
LinkedIn) seems to have slowed around three months ago, indicating a firm that
was reserving cash for a managed exit.
60 customers and expects to double the count by the end of the year.
Komiko CEO Howard, “We want our product to be seen by millions of people. Our
choices were we could take an additional round of venture funding and build our
market, or partner with ZoomInfo and use an already-existing go-to-market. This
was the fastest path to that market and to millions of customers.”
Komiko’s machine learning chops with ZoomInfo’s data pipeline creates a much
stronger value proposition than either company could have offered
independently, so the combination makes a ton of sense for both,” said Chris
DeVore, managing partner at Founders’ Co-op, Komiko’s Seed Round lead investor.
“Everybody dreams of the unicorn exit. And
those are all well and good, but the goal of every technology innovator is to
get your technology in the hands of as many people as possible,” Howard told GeekWire.
over 1,100 employees and more than $300 million in revenues.
Dun & Bradstreet, which acquired Lattice Engines at the beginning of Q3, launched a Lattice Campaigns App for LinkedIn. The new app “improves campaign performance by creating and activating always-on AI-based audiences for LinkedIn Ads.”
“When Dun & Bradstreet acquired Lattice Engines, we were building on an existing partnership of the world’s most comprehensive B2B data and the world’s leading B2B Customer Data Platform,” said Dun & Bradstreet’s President of Sales & Marketing Solutions Michael Bird. “This is the first in a series of innovations we’re quickly bringing to market to power more effective and efficient digital marketing, demand generation and sales acceleration programs for our customers through the intelligent use of data.”
The Lattice Customer Data Platform supports “hyper-targeted”
LinkedIn advertising as part of a broader omnichannel engagement strategy. Lattice
combines first and third-party customer data, displays account and contact
insights, and uses “AI to segment their buyers and deliver hyper-targeted
engagement in an automated fashion across display, web, email, CRM and now
“Let’s say a buyer at a cold account starts visiting certain product pages on your website anonymously. Rather than just showing this buyer a generic ad about your brand, you could show them an ad with more specific copy and CTA [call to action] related to the product pages that they visited on your website.”
Dun & Bradstreet President of Sales & Marketing Solutions Michael Bird
The app creates matched audiences for LinkedIn ads and
then lets marketers adjust media spend to target high-performing audiences. The
app then updates LinkedIn audiences based on “changes in buyer engagement,
interest and company data. As a result, marketers can ensure that buyers
are engaged with the most relevant campaigns based on not only persona but on
profile, propensity, interest and buyer stage.”
Dun & Bradstreet is claiming a 42% increase in
click-through rates and triple the post-click conversion rates resulting in a
54% reduction in qualified lead expenditures.
According to Gartner, CMOs are spending 23% of their
marketing budget on paid media.
“In an environment where B2B marketers are
overwhelmed with data and technology options, our goal is to make their jobs
easier by connecting interactions across customer journeys,” says Bird. “This
allows marketers to target the right audiences with the right message and make
the best use of their ad dollars.”
Connectors for Facebook, Twitter, and other social
media platforms are in the works.
Leadspace formally closed its ReachForce acquisition on July 1st. Coincidentally, that was the same day that Dun & Bradstreet closed on its Lattice Engines acquisition. Thus, Forester’s top two B2B CDPs (Q2 2019 Forrester Wave), were strengthened on the same day.
to Forrester, “Leadspace offers comprehensive data that includes a proprietary
second-party data asset with numerous sources of intent data and access to
third-party data sources. It also has strong segmentation capabilities
(e.g., ideal customer profile and total addressable market modeling for ABM)
and can help sellers decide who to call next and what to offer.”
ReachForce adds two core products to Leadspace: The well-regarded Smartforms web form service and the SmartSuite data hygiene platform.
provides “a one-stop-shop for data management, cleansing, and enriching, with
an easy-to-use interface which shows quickly the ‘state of the union on data
within CRM and MAP systems,” blogged Leadspace CEO Doug Bewsher.
and Leadspace share over 200 joint customers, so integrating the services and
standardizing their content sets will provide direct benefits to those clients.
The firms share seven of the top ten enterprise software companies as
provides an additional set of data partners which can be combined with
Reachforce data sources. Leadspace data partners include DiscoverOrg, Dun
& Bradstreet, Bombora, KickFire, and others.
will now be able to leverage all of these data sources seamlessly in real-time,
through a single API and interface, offering a genuine single source of truth,”
Leadspace CDP supports a broad set of CRM, MAP, and digital advertising
platforms including Salesforce, Marketo, Eloqua, Pardot, Microsoft Dynamics,
HubSpot, and LiveRamp. Smartforms will be an additional “activation
product,” which “seamlessly and simply onboards new customers and customer
intelligence into Sales and Marketing engagement platforms.”
performs real-time data enrichment to lead records, allowing them to be
properly scored and routed. One of the long-standing benefits of
Smartforms is the opportunity to shorten forms and perform real-time
firmographic enrichment. Not only is the enriched data more accurate, but
form abandonment rates are significantly lower, resulting in a higher return on
digital marketing campaigns.
“What’s more, combining Smartforms with existing Leadspace capabilities like reverse IP information, detailed account- and person-level data, and AI modeling, means we can offer highly-accurate site and ad personalization on both the account (ABM) and persona level. For our customers, this means even more precise and personalized engagement and targeting, particularly those currently using our ABM solutions. (We will be announcing more on this offering in Q3 as we integrate the Reachforce and Leadspace platforms.)”
Leadspace CEO Doug Bewsher
The merger also allows Leadspace to incorporate its proprietary AI-driven intelligence, automated scoring, and models within Reachforce products. Leadspace is beginning to move partner platforms from systems of record or systems of engagement to systems of intelligence. “CDPs combine vast data and data management capabilities with advanced AI to create a system of intelligence that guides Marketing and Sales to their best customers, and delivers razor-sharp insights and recommendations on how and when to effectively engage them,” said Bewsher. “The CDP is being rapidly adopted by B2B businesses now — including many enterprise companies at the forefront of marketing and sales strategy and innovation — and it’s proving equally as effective for them.”
French Sales and Marketing Intelligence vendor Sparklane released its Predictive Account Scoring Solution for B2B sales. Sparklane Predict now supports dynamic account scoring based upon Ideal Customer Profiles (ICP), sales feedback, and CRM win/loss data. The service is currently available in the UK and France with additional European markets in development.
According to the firm, Predict
supports a “human-in-the-loop” lead review process which “feeds lead decisions
back into the ICP model, providing additional intelligence towards distinguishing between good
and bad prospects.” Predict also collects CRM intelligence on opportunity
outcomes, providing an additional basis for model refinement.
supports bi-directional syncing with Salesforce, Microsoft Dynamics, Marketo,
and Eloqua. Sparklane uploads suggested accounts and leads to CRMs and
gathers historical outcomes for ICP modeling and dynamic scoring.
claims that it shortens sales cycles by 28%, increases contract volume by 25%,
and improves the business conversion rate by 70%.
Sparklane Predict leverages Artificial Intelligence (AI) tools such as machine learning and natural language processing to dramatically improve sales productivity and customer insights. Sales rep attention is directed towards accounts and leads most likely to close based on both fit (company attributes) and need (sales triggers such as international expansion, employee growth, or product launches). Furthermore, automated data enrichment ensures that reps are working with accurate, complete, and current data.
Sparklane Press Release
When building Sparklane models, both win and loss scenarios are employed, providing a more robust model than current customer lists. Along with win/loss scenarios, Sparklane supports other binary outcome scenarios:
Account Renew vs. Account Drop
Account Upgrade vs. Account Downgrade
High Margin Profitable Accounts vs. Low Margin Unprofitable Accounts
also supports multi-product line upsell and cross-sell models.
many of the vendors now marketing ideal customer profile solutions (ICP) are
offering little more than basic prospecting or look-a-like lists under the ICP
banner,” said Sparklane CEO Frédéric Pichard. “A true ICP service begins
with both positive and negative accounts so the platform can distinguish
between accounts that closed and those that failed to close. A true model
also contains feedback loops from sales reps and the CRM. It is the
addition of feedback that refines the model over time, improving the predictive
precision of account scores.”
Sparklane supports nearly 250 customers out of offices in Paris, Nantes, and London. Last year, Sparklane grew its recurring revenue by 60%.
Human-verified contact vendor DealSignal added Bombora intent to its B2B marketing data service. The combined solution offers intent-based leads with verified emails and direct dials “so that marketing and sales teams can reach out to ideal buyers directly and drive more conversions.” DealSignal applies Bombora intent data to an Ideal Buyers Profile. Users will be able to identify net-new, surging accounts with accompanying contacts and buying teams.
excited to partner with Bombora to help marketing and sales teams finally
answer the most elusive question: Who is out there actively looking for what we
sell and how can we reach them before our competitors,” said DealSignal CEO,
Rob Weedn. ”The integration of Bombora intent data and DealSignal’s
verified contact and account data means that revenue-driving teams can now see
which companies are actively in-market, plus get complete, accurate contact
data for ideal buyers at those companies, so they can reach out and convert
that intent into a purchase.”
begin by defining their target buyer personas on the DealSignal platform and
then select up to 50 Bombora intent topics. DealSignal identifies
accounts that match buyer profiles along with surging intent and delivers a set
of accounts with contacts and firmographics. By tying together intent,
firmographics, and human-verified contacts, DealSignal delivers a set of leads
that are more likely to close than with traditional firmographic prospecting.
“Intent-based leads help B2B marketers uncover accounts that are actively in-market — even if they’re not already on their target account/ABM lists. We then deliver complete, enriched and verified contact and account data that helps marketing & sales teams reach out to prospective target buyers with highly personalized messages, to help them convert more intent into a purchase,” said Weedn.
Third-party Intent data from Bombora and The Big Willow has suffered from poor actionability as intent scores lack context and clear next steps. Several vendors have begun to address this issue by combining intent with company and contact intelligence, turning an intent number into an ABM lead. DealSignal ties together Ideal Buyers, Personas, Bombora Intent Data, and Human-verified contacts to indicate which ABM targets are in market and who should be contacted.
DiscoverOrg redesigned its OppAlerts service to identify companies with surging interest in key topics, rank companies by purchase intent, route high-intent prospects to sales reps, and synch intent data with Salesforce for key topics.
By converting intent signals into leads or opportunities, firms are beginning to translate billions of weekly datapoints (thousands of intent topics across millions of companies) into actionable intelligence for sales and marketing teams.
In December, Aberdeen acquired The Big Willow to deliver Intent Qualified Opportunities which combined third-party intent with technographics, firmographics, content, and research.
“Intent data has been trapped in marketing tools as just another score,” said Aberdeen CEO Marc Osofsky, Aberdeen’s CEO. “Aberdeen Intent for Salesforce delivers what sales wants – accounts looking to buy that are fed directly into Salesforce for sales to engage and increase pipeline.”
LeadSpace is now including Bombora intent data in its Customer Data Platform. Bombora’s company surge data helps identify which companies are in market for products and solutions based upon surges in topical interest above historical baselines in the topic. “Customers can combine the resultant intent insights with Leadspace Predictive and Persona scores to accurately predict prospects’ readiness to buy in real time.”
LeadSpace customers can target
outreach based upon topical interest, prioritize sales and marketing activities
using intent data within predictive models, and personalize ad campaigns with
messaging and content around surging topics.
LeadSpace customers employing an ABM strategy enjoy improved account list building and engagement due to the partnership. They can also identify net-new prospects using look-a-like modelling and surge data.
“ABM succeeds when sales and marketing work closely toward the same goals. The easiest way to find that success is for both departments to start with insights from a single data source. Intent data that shows which target accounts are actively in-market helps sales and marketing tailor their efforts to the best prospects, and avoid those that are not engaged in the buying cycle. Working with Leadspace ensures the easy orchestration of Bombora’s insights across these departments.”
Erik Matlick, CEO and co-founder of Bombora
Intent data also assists with
sales-marketing alignment via harmonized messaging. According to David
Tam, Director of Marketing at OneLogin, “I’ve never worked anywhere before
where we could run a fully-integrated and aligned marketing campaign and sales
play, where the messaging matches. Our marketing emails are talking about the
same things that our sales reps are talking about. That alone is enough to get
brownie points with Sales!”
Technology marketing services vendor Aberdeen acquired intent vendor The Big Willow, creating anew marketing category of intent qualified leads for sales reps. No financial details were provided.
The Big Willow describes itself as the “the leader in buyer intent data science and intent-targeted digital advertising.” The firm monitors billions of daily web interactions to determine the interest intensity level across product categories. The goal of intent data is to identify prospects early in the buying cycle so that vendors can begin marketing to them before they reach out to competitors, “thereby providing sellers a first-mover advantage and resulting in vastly more effective marketing and sales investment.”
Aberdeen CEO Marc Osofsky explained why a market research firm bought a source of intent data, “B2B marketing is undergoing a fundamental change as buyer journeys are now primarily online, and massive new data streams become available to improvethe performance of marketing and sales. Our role is to capture and analyze this new buyer behavior data to help our clients improve marketing and sales performance.”
The Big Willow captures keywords and IP addresses and links them to D-U-N-S locations. The firm also performs natural-language indexing of web sites for keyword assignment.
“We are focused on helping clients convert intent data into new wins,” said Osofsky. “The addition of The Big Willow makes us the only company with all ofthe necessary capabilities to deliver results from the power of intent data.”
Buyer intent data captures the online research of actual buyer journeys and determines a purchase intent signal from the noise of normal activity. Doing this at internet scale with keyword precision creates the most accurate way to predict who’s in market for your products or services. Companies use these predictions to improve the performance of account-based marketing, targeted advertising, demand generation programs, content marketing and more.
By combining The Big Willow’s online interactions (topic, keywords, PageURL, andOpt-in), Aberdeen’s targeting data (company, location, contacts), and first-party visitor intelligence and win/loss history, Aberdeen builds models to identify sales ready leads. Aberdeen further helps identify opted-in, qualified contacts via its research library and call center. Models are based on 18 months of buyers’ journeys indexed down to the device id.
“Marketing often struggles to deliver sales ready leads – content syndication leads can stall out in nurture, ABM activity does not lead to sales meetings,” says Aberdeen. “Our Intent Qualified Demand programs deliver because we do what the other approaches lack. We reach out as Aberdeen to target titles at in-market companies with research-based self-assessments to qualify
Aberdeen’s approach differs from predictive analytics in that they identify specific contacts showing current interest whereas predictive analytics models focus more on identifying companies which are similar to current customers. Based on their buyer journey data and client closed/loss history, Aberdeen claims that their models achieve 91% accuracy in predicting purchase intent based on blind tests run by clients.
The Big Willow tracks buyer journeys across 3.7 billion device ids and 12 billion webpages. The firm captures 480,000 keywords. Aberdeen claims to offer “the largest, most accurate and highly targeted [intent data] in the market today.”
To further its goal of identifying Intent Qualified Opportunities, Aberdeen has grown its contacts file to 60 million names tied to geolocations and companies.
“Combined, Aberdeen and the Big Willow now deliver intent-qualified opportunities that include the specific company location of the intent and the target titles’ contact info,” said the firm. “Clients have the option of a full-service, cost per lead program, a data lake delivery, or the opportunities and contacts sent directly into their CRM.”
The Big Willow CEO Charlie Tarzian has been named President and Chief Innovation Officer of Aberdeen while Keith Blackwell has assumed the position of Aberdeen Chief Operating Officer.
The Aberdeen Group was spun off of Harte-Hanks several years ago and contains Aberdeen market research and the old AccessCI (aka Harte-Hanks Market Intelligence) technographics database.
6Sense rolled out enhanced Sales Intelligence features to its ABM Orchestration platform. New features help track account engagement over time, visualize anonymous intent at key accounts, and display engagement status by personas. 6Sense also added ABM Alerts and updates to its reference company dataset.
According to 6Sense, “the Sales Intelligence enhancements change the way revenue generating teams create and drive pipeline with easy-to-consume insights designed to drive sales action in coordination with marketing.”
“ABM is not a marketing-only initiative – it is crucial that account managers, sales development reps and other members of the sales team are collaborating and aligned. Sharing critical target account insights such as recent topical interest and engagement history in a sales platform that the sales team is familiar with makes it easier for revenue teams to take action.”
Matt Senatore, Service Director of Account-Based Marketing, SiriusDecisions
6Sense Sales Intelligence is based upon CRM and marketing automation data, web engagement data, and 6sense’s anonymous intent data. Intelligence is displayed across three tabs:
Buying Stage, Top Branded and Generic Keywords, and Engagement Scores over
Map: Engagement levels by job and function with associated engagement
Insights: Firmographics, Technographics, Website Visitors by location, Top
pages viewed by account
ABM Alerts deliver weekly activity profiles on key accounts to sales reps. The email alerts include a spotlighted account “that has shown a significant volumeof relevant activity, making it especially interesting or urgent to act upon.” 6Sense spotlights firms that have not been recently contacted but are showing high-levels of engagement or intent.
The alert also provides up to five accounts which are newly engaged or reengaged, five accounts with multiple people engaging, and five accounts with declining engagement. ABM alerts provide direct links to account profiles in 6Sense and Salesforce.
ABM Alert account details include a summary of the top activities associated with that account over the past week, including keyword research, and web visits.
“This update was designed as a response to sales teams’ requests to be empowered with insight to prioritize their time better, make their outreach more relevant, and shed light on what their prospects really care about at any given time,” said VP of Product Amar Doshi. “For those who subscribe to the BANT qualification approach, getting an early advantage on learning about need and timing can make all the difference in deal outcomes.”
InsideView added Bombora intent intelligence to its Apex “go-to-market” ICP/TAM service. InsideView highlighted two use cases: Refining a list of ideal prospects to focus on those showing intent and expanding a list of buyers to find additional prospects with similar intent and other characteristics.
Refining an ICP list helps marketers target their best prospects based upon open web research currently being performed at their ICP accounts. Thus, custom campaigns can be targeted to accounts likely in market for specific solutions. Instead of blanketing ICP accounts with general messages, a more refined approach can be taken with a higher likelihood of the message resonating.
Conversely, Intent data can be used to expand an ABM list.
“InsideView’s Targeting Intelligence platform provides a single point of access for all B2B data and targeting signals, from firmographics, contact details, news events, personal connections, technographics, and now intent data. Adding Bombora intent data makes go-to-market planning in Apex that much more powerful. Now you can discover even more ideal prospects, and home in on the specific accounts in your target market that are not only an ideal fit for what you sell but are also currently in-market.”
InsideView VP of Products Marc Perramond
I find the first use case, refining a list for targeted messaging, to be more compelling. Intent data is ephemeral. A firm that is researching a topic this month will have moved onto other topics a month or two later. Using intent data to message to these companies on intent-based topics today is powerful. It allows vendors to reach out to prospects before they have begun talking to prospective vendors. It is a powerful method to answer the questions whom to call (account-wise), when to call, and what to say.
However, vendors should be careful about using intent to expand their targets. Identifying the key intent topics is crucial, but building an ABM list based upon ephemeral intent signals risks adding firms that had surging interest over the past few weeks, but have already made purchasing decisions, chosen not to pursue a technology, or were simply performing due diligence. Surge scores simply mean that there was a recent peak in topical interest above the mean.
Defining who are your best candidates amongst your pool of ABM accounts for specific messages is a clear winner. Adding accounts to an ABM list based upon a short-term surge in interest is likely to result in wasted marketing dollars.
Until recently, Bombora has had more success selling their intent file to predictive analytics companies than sales intelligence firms. However, sales intelligence companies are now figuring out how to present intent data to sales reps and marketing professionals without having to provide sales training sessions on the nuances of intent data. For example, DiscoverOrg recently redesigned its OppAlerts to focus on the few key topics relevant to the client and then limited the intent signals to the top few percent of surging accounts. This level of refinement gives sales reps confidence that when they see a surging topic at an account, it is truly surging and not simply an anomaly. And because numeric surge scores have been removed, the rep merely needs to know that there is a high certainty that individuals at the account are actively researching the topic in question.
B2B tech media company TechTarget delivers intent data to sales reps from its Priority Engine service. While other intent services are at the company level, TechTarget has opted-in readers performing current research on a topic. Thus, TechTarget can identify company, executive, topic, and buying stage for its intent file.