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.”
Speaking at the 40th International Conference of Data Protection and Privacy Commissioners (ICDPPC), Apple CEO Tim Cook forcefully called for expanded global privacy protections akin to GDPR:
Our own information — from the everyday to the deeply personal — is being weaponized against us with military efficiency. These scraps of data, each one harmless enough on its own, are carefully assembled, synthesized, traded and sold. Taken to the extreme this process creates an enduring digital profile and lets companies know you better than you may know yourself. Your profile is a bunch of algorithms that serve up increasingly extreme content, pounding our harmless preferences into harm…
We shouldn’t sugarcoat the consequences. This is surveillance…
We should celebrate the transformative work of the European institutions tasked with the successful implementation of the GDPR. We also celebrate the new steps taken, not only here in Europe but around the world — in Singapore, Japan, Brazil, New Zealand. In many more nations regulators are asking tough questions — and crafting effective reform.
It is time for the rest of the world, including my home country, to follow your lead.
We see vividly, painfully how technology can harm, rather than help. [Some platforms] magnify our worst human tendencies… deepen divisions, incite violence and even undermine our shared sense or what is true or false.
This crisis is real. Those of us who believe in technology’s potential for good must not shrink from this moment…
They may say to you our companies can never achieve technology’s true potential if there were strengthened privacy regulations. But this notion isn’t just wrong it is destructive — technology’s potential is and always must be rooted in the faith people have in it. In the optimism and the creativity that stirs the hearts of individuals. In its promise and capacity to make the world a better place.
It’s time to face facts. We will never achieve technology’s true potential without the full faith and confidence of the people who use it.
He also warned about the dangers of AI which fails to protect privacy:
Artificial intelligence is one area I think a lot about. At its core this technology promises to learn from people individually to benefit us all. But advancing AI by collecting huge personal profiles is laziness, not efficiency.
For artificial intelligence to be truly smart it must respect human values — including privacy. If we get this wrong, the dangers are profound. We can achieve both great artificial intelligence and great privacy standards. It is not only a possibility — it is a responsibility…
Yesterday, Cook tweeted that privacy is a human right
based upon four principals:
Data Minimization – Personal data collection should be minimized or de-identified.
Transparency – Individuals have the right to know what is being collected and for what purpose.
Right to Access – “data belongs to users” with personal data available to individuals for copying, correcting, and deleting.
Right to security – “security is foundational to trust and all other privacy rights”
Radius and Leadspace quietly called off their merger back in August, agreeing not to point fingers at each other and continue supporting joint customers.
“At the end of the day, private to private mergers are incredibly hard to pull off. In this case, despite all of the best intentions in the world, we could not get to something that would work for all sides,” Leadspace CEO Doug Bewsher told Demand Gen Report. “We are excited to see the evolution and clarity around the whole customer data platform really starting to define itself in B2B.”
Bewsher remains bullish about Leadspace and the Audience Management space:
Leadspace pioneered this space when we launched our Audience Management Platform two years ago. We continue to see great success with customers as they both simplify their data management processes and bring additional data driven insights and recommendations into their activities. Whether driving an ABM strategy, a content marketing / inbound lead driven strategy, or outbound prospecting, the right data and insights deployed into systems of engagement is typically the first step in any company’s success…
We look forward to working with you to develop, build and lead this category as we continue our mission to help B2B sales and marketing teams drive a new level of engagement, targeting and resulting revenue for their organizations.
Leadspace had a strong Q2 with its “best ever revenue growth.” New customers include SAP and Splunk. Growth was driven by the increasing recognition that B2B firms require a data-agnostic Customer Data Platform “which brings together many different data sources at the company- and individual-level, drives recommendations, insights and a single source of truth through AI, and then has a single point of integration into multiple executions systems (CRM, MAP, Ads etc),” said Bewsher.
“Radius and Leadspace agreed to continue operating independently and are now partnering to support joint customers,” said Radius. “Radius’ customer data platform is the first for B2B, and we will focus on offering enterprise companies integrated, unified and trusted data across all go-to-market systems, while Leadspace’s audience management platform will continue to equip companies with audience enrichment and analytics.”
Last month, I discussed intent data, one of a trio of datasets that assist with lead scoring. This month I’m touching upon Fit data and next month I’ll be discussing Opportunity data.
Fitness data consists of firmographics, technographics, and verticalized datasets that help define whether a company is a good prospect. Biographic values such as Job Function, Level, Skills, and Responsibilities should also be employed when evaluating contacts or leads.
Firmographics are the basic variables that have long been used to define a good prospect. Firmographics include location, size (e.g. revenue, employees, assets, PE/VC funding, and market cap), industry, and year founded. Other commonly used dimensions include Ownership Flags (Minority Owned, Woman Owned, Veterans Owned, SOHO, Franchise), Ownership Type (Public, Private, Nonprofit, Government), and Parent/Sub/Branch.
Ownership flags are used for both inclusion and exclusion with SOHO and Franchise flags generally used to exclude small businesses and those with limited purchasing authority. Subsidiaries and Branches are often excluded as they also have more limited purchasing authority, but are included when looking for locations to sell into after an MSA is signed or when evaluating entry into overseas markets. In these cases, knowing all of the locations of current accounts and top prospects is quite valuable. Likewise, logistics companies look for companies with many locations.
Several vendors support radius searching around a ZIP code. This select is valuable for both event planning (e.g. 50 miles from a tradeshow) or for sales reps when traveling and looking to include additional accounts and prospects on a trip.
A recent study by Dun & Bradstreet found that three of the top five dimensions used when targeting B2B accounts are firmographic (Location, Industry, and Company Size).
Furthermore, Account specific lists for ABM generally employ firmographic criteria when building or extending ABM lists. (Online activity is an intent variable which was discussed in my last What Is.)
Technographics are an example of a verticalized dataset. Generally they consist of vendors, products, and product categories. Originally, such data was only available from technology sales intelligence vendors such as DiscoverOrg and HHMI (now Aberdeen Services), but HG Data built and licensed a technographics dataset which is now widely available in data marketplaces, predictive analytics, and sales intelligence platforms. Aberdeen followed suite in licensing their dataset as well.
LinkedIn Sales Navigator offers a set of unique selects for targeting departments, department headcount growth, and employment growth. Unfortunately, this data is not downloadable or available for lead scoring.
Biographic variables are also important when determining fit. Job function and level help determine whether a lead is likely to be a decision maker, influencer, or noise. Most vendors map job titles to taxonomies of between 8 and 60 job functions and 4 to 8 levels. Other biographic variables include education, years at company, former companies, and interests.
Data availability and currency may also play into Fit both directly and indirectly. If a select is weakly populated (e.g. Education, Skills), then many potential targets will be omitted from lists or given low scores. In some cases, lowering the lead score due to a missing field makes sense. Lead scores should incorporate the availability of emails, direct dials, and LinkedIn handles because this information increases the likelihood of successfully communicating with a prospect.
TIP: When evaluating vendors, ask about the fill rates on key fields you anticipate using in your lead scoring or prospecting.
In a similar vein, last update dates should also be used as a filter. Data from SHRM indicates a 2016 average contact decay rate of 27% when accounting for job departures, lateral moves, and title changes. And this is only at the contact level. The rate is even higher when including company name changes, relocations, and bankruptcies / facility closures. Thus, the last update field is a relevant fitness variable for prospecting but not inbound lead scoring.
In short, lead fitness can be defined by a broad set of who, what, and where variables related to companies and contacts.
True Influence rolled out version 2.0 of its InsightBase ABM platform with enhanced intent data, improved contact data, and an Advanced Relevance Engine which ranks accounts according to ABM demand level.
InsightBase provides intent analytics across 4,000 business topics and fifteen countries. Intent is then matched to contacts, firmographics, and location-level technographics.
According to the firm, InsightBase 2.0 “combines the most advanced data and analytic technologies to create a comprehensive monitoring solution that specifically identifies Intent Signals, which are proven pieces of data that indicate buying interest and purchase acceleration. These signals are collected in real-time as the result of web-based activities – such as web impressions, searches, email opens and more — to create a profile showing which companies and locations are actively in the market for a specific solution.”
True Influence offers connectors for Marketo, Eloqua, and Salesforce.
“Today, companies tend to rely on first-party lists or behavioral data to plan their B2B marketing approach, but that is just a small piece of the puzzle,” said True Influence CEO Brian Giese. “The fact is, B2B decision makers take a complex journey before making buying choices by conducting research for their next big purchase. To be truly competitive, it’s critical to have a complete, worldwide picture of your prospects’ overall online purchase journey.”