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!”
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.”
Back before the development of ICP / TAM tools and predictive analytics platforms, B2B marketers would simply describe their target market as the Global 2000 or Global 5000. The description was overly broad, but it generally meant global enterprises with revenue in excess of $1 billion.
Of course, you could easily refine the list with broad segmentation. For the sales intelligence vendors of 2005, it was the intersection of G5000 and (Professional Services, Financial Services, Tech firms).
So while there are now tools to refine your target universe, there remain companies that continue to focus on the G5000 concept. This includes startups and companies with expensive B2B solutions. It also includes Enterprise Sales groups.
Harry Henry has built a business around the G5000 concept. For a long time, the Global5000 database consisted of a hand-researched list of billion dollar revenue companies; but, a few weeks ago he released a companion dataset of top US execs for G5000 with plans to sell international contacts in the future. Henry has partnered with Salutary Data to build his new offering.
Marketers can license the G5000 company set for $2,300. The accompanying US dataset of 25,000 executives spanning 2,100 firms is available for $3900. Fields include
First & Last name
Address (street, city, state & zip)
Email address — 100% fill rates
Phone number – Two possible phone numbers with a 35-50% direct dial fill rate.
The contact dataset focuses on Executive Management, Finance, HR/Personnel, Technology/IT, and Marketing.
“To provide you a sense of our vetting process, the contact records are aggregated from some 8 supplier sources and then tested using separate vendors who verify and score the accuracy of emails, phones, and name/title/company. The results of these tests are used to identify the most accurate data, which enables us to create a data stack. In addition, external and internal corroboration sources and techniques are also applied to further help identify the most current and accurate records.”
The contacts file is available with quarterly refreshes. Segmented versions by industry or job function are not available.
The G5000 database consists of over 5,000 active companies generating $60 trillion in annual revenue and employing 130 million employees. Revenue per employee of the G5000 firms is $397,000. The file includes five-year employee and revenue data along with recent events, business descriptions, year founded, industry, segment, market and ticker, and business contact details (e.g. address, phone, URL).
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.
This is part III of my Mmojo coverage. Part 1 covered data enrichment and part II covered prospecting. My final blog covers Mmojo’s data partners and pricing model.
Both prospecting and uploaded lists may be appended via the Mmojo data marketplace. While basic company firmographics are included with the subscription, additional data sets may be appended, some for a fee:
Contacts: Contact Function, Level, Title, Email, Direct Dial, Social Links. Licensed from multiple partners. Only Stirista has been disclosed so far.
Premium data set descriptions are provided which include the list coverage rate, update frequency, refresh period (how long licensed without paying for the record again), price per record, fields, and column definitions.
Unlike other firms which treat their company identifiers as proprietary, Mmojo will be open sourcing their ExC company identifiers. Currently, Dun & Bradstreet D-U-N-S Numbers serve as the de facto global company identifier, but Mmojo will be challenging that status next year when they roll out international company profiles with open sourced ids.
The ExC numbers also support list appends and merging.
“Once appended, users can view their contacts and associated contact analytics. The analytics enable Mmojo users to detect gaps by showing total number of contacts, percentage of companies with contacts, and the distribution of contacts by function and title, providing key data intelligence to B2B and SMB sales and marketing organizations.”
CEO Hank Weghorst
Members of the Austin-based Mmojo team include several former members of the Avention product team including CEO Hank Weghorst, Chief Data Officer Brad Palmer, and CTO Ray Renteria. While there are some broad stroke similarities between the platforms, Avention never offered a data mart service.
Mmojo does not yet provide marketing automation or CRM connectors, so marketers must upload and download CSV files between Mmojo and these other platforms.
Mmojo is priced at $95 per month with additional charges for premium datasets. The base service includes support for up to 250,000 unique companies under management, basic company and contact enrichment, and list prospecting. Credit card and ACH billing are supported. Premium data may be purchased in blocks of credits as follows:
Pricing varies by record type. For example, Mmojo contacts are priced at 10 credits per record, but Aberdeen technographics are priced at 16 credits per record. Thus, Aberdeen appends are priced between $0.112 and $0.16 per record.
Contracts may be canceled at any point.
Mmojo tracks which records have been previously downloaded and does not charge again for a record if it is being downloaded within a refresh window (six months for most vendors). Users are only charged for premium data downloads.
An Enterprise service option is available for firms requiring multiple seats, more than 250,000 managed records, or custom configurations.
Mmojo is offering free ten-day trials. Trialers have view-only access to the tool and do not need to provide payment details during the trial. When lists are shared with non-users, they are also eligible for ten day trials.
The service includes a set of context sensitive help tools and videos. A customer forum is also available for asking questions.
This is one of the most mature product launches I have seen. The service includes a broad set of functionality, clean user interface, deep content partnerships, complete help and training tools, and a full press page. When discussing the product pre-launch with Weghorst, there was a clear product positioning and defined target market segment. The service also offers unique product pricing (hybrid subscription with premium data sets) and business models.
Mmojo’s prospecting module supports both traditional prospecting and ABM list cloning. The Build a List User Interface is straightforward with filtering by
Location: State, City, ZIP
Company Attribute: Public/Private/Government, HQ/Sub/Branch
Size: Revenue, Employees
Industry: Industry Keyword, SIC
Contacts: Function, Level, Keyword
Indicators: Home Office, Woman Led, Minority Led, Franchise
Type-ahead suggestions help with quickly entering cities. technologies, industry, and job functions/levels.
Missing geographic selects included counties, MSAs, ZIP Ranges, Email and Direct Dial Availability. The inability to easily refine by location may be a hindrance to SMB sales.
The Industry selects are by keyword and SIC code, but the keyword search which supports typeahead suggest is sluggish. NAICS codes are coming next month.
A nice feature is the ability to quickly select contacts by function (Sales, Marketing, Engineering, IT/IS, HR, Finance, Operations, Planning) and Level by clicking or dragging the clicked mouse across a grid (see image on right). Users can also enter keywords, but the list was mostly high-level titles and general functions. Missing were key roles such as purchasing, sales operations, accounts receivable, accounts payable, security (except CISO), and compliance (except CCO).
Another welcome feature is the ability to save multi-variable filters allowing marketers to store territories or industry segments for quick recall.
Previously uploaded or built lists may be used for list suppression (e.g. exclude current customers and prospects) or as a constraint list (e.g. subsetting of a current list for targeting). The system also maintains a Master List for this purpose.
When prospecting, marketers can grab a random subset of the list for a campaign or for forwarding directly to sales reps.
Lists can also be used to find mMore-like-these cloned companies. The peer feature allows users to define the relevant variables and weights to be assigned to them. Thus, a regional tradeshow list can be used as a seed file for additional prospects, but with the location variables relaxed; additional variables (e.g. deployed technology, growth indicators, corporate attributes) can then be assigned corresponding weights. This feature is easily managed via a drag-and-drop tool and visual indicators. As a segmentation analysis is also displayed, marketers can analyze the seed file as they adjust the selection criteria and weights.
I had one significant concern: the workflow from building a list to viewing it is not clear and is likely to frustrate trialers and new users. Nevertheless, the user interface is otherwise straightforward and the dynamic segmentation (see left side of top image) is beautifully rendered and informative.
Sigstr recently announced the launch of its new relationship marketing platform and Sigstr Pulse application. The new cloud offering analyzes email and calendar patterns to determine the strength of relationships between employees and prospects. Instead of determining engagement as clickthroughs and web visits, Sigstr Pulse determines relationship strength based upon employee interactions with prospects. Data is collected passively with sales reps not required to take any action.
According to Sigstr, “Revenue lags relationships. When you understand the quality of relationships, marketers can provide better air coverage and sales can forecast better.”
Sigstr calls out relationships between employees, accounts, contacts, and location; scores the strength of those relationships; assesses relationship strength over time; and helps identify warm introductions. As a relationship marketing platform, Sigstr visualizes the relationships with key accounts and determines “which contacts you know best and which you need to know better.”
Sigstr argues that corporate inboxes and calendars are the best source for measuring relationships. Relationships “live and grow in the inbox,” said Sigstr CEO Bryan Wade.
“Relationships are the lifeblood of every business, and no other system tracks who has relationships with whom better than a corporate email system. Sigstr Pulse allows marketers to effortlessly solve a problem everyone knows they have, making it easy to understand your organization’s complex web of relationships and take action on them. One practical example is in event marketing, as brands can send invitations to potential attendees based on the hierarchy of relationships within an organization,” said Wade. “Our platform is already in the email flow of hundreds of thousands of employees at some of the world’s largest brands, which means they can flip a switch to turn on relationship marketing via Sigstr Pulse. As we’re marketing in the era of GDPR, tapping into coworkers’ existing business relationships means less cold calling and more productive marketing.”
Sigstr provides location-based intelligence to help identify where contacts are located. This intelligence assists with on-site meeting planning, territory assignment, and assessing relationship strength at the location level. Location-based intelligence can also be employed for event planning and marketing.
Sigstr evaluates relationship strength based upon the frequency, recency, and directionality of communications along with the acceptance of calendar invites. Users are able to build targeted lists, identify strong relationships with the company for referrals, and evaluate how relationships are strengthening or atrophying at ABM accounts.
“Sigstr has expanded the opportunity for marketing and sales teams by allowing them to make the person-to-person connections they need through existing relationships within the organization. Email is at the center of nearly every professional’s daily workflow, and now they can use those interactions to build their business beyond just the conversations they’re having.”
Matt Heinz, President of Heinz Marketing
Sigstr does not yet have the functionality to exclude specific individuals or departments from your relationship data, but there are controls that manage which inboxes are integrated with Sigstr Pulse. Users cannot yet block access to relationships for teams involved in confidential communications such as litigation, M&A, and partnerships. Likewise, individuals cannot opt out if they wish to retain control over their relationships. As this is a V1 release, it is likely that their customers will demand such controls to be added.
Sigstr does have GDPR controls in place to modify or delete specific users, if users wish to remove their personal information.
Sigstr Pulse supports a Chrome Connector which provides on demand company and contact relationship insights while browsing the web.
Sigstr Pulse pricing is based on number of users (logging into the application and downloading the Chrome extension) and email volume.
Sigstr also offers an email signature marketing application which provides custom messaging and banners within employee email signature blocks.