Openprise Expanded Data Marketplace

Data Orchestration vendor Openprise expanded its Data Marketplace with the addition of seven new vendors: Dun & Bradstreet, Oceanos, DiscoverOrg, KickFire, Acxiom, Cognism and People Data Labs.  The Openprise Data Marketplace is a third-party data mart which assists with “onboarding, ingesting and normalizing data” into major platforms such as Salesforce, Marketo, Eloqua, Microsoft Dynamics 365.

“Our customers benefit from having access to accurate and complete B2B marketing data – from verified account and contact data to organization charts to intent signals and buying scoops,” said Katie Bullard, DiscoverOrg Chief Growth Officer.  “The depth of our data gives sales and marketers a 360-degree view of target accounts and contacts, and our integrations ensure that data is always fresh, complete and up-to-date.”

“Openprise users can now incorporate Oceanos‘ contact hygiene and provisioning solutions directly within their automated processes to improve their demand generation and Account-Based Marketing initiatives,” said Oceanos’ CEO Brian P. Hession.  “Our API wraps five leading hygiene vendors into a single solution, further amplifying the benefits marketers realize.”

Openprise Content Partner Network
Openprise Content Partner Network

Openprise assists with cleaning and normalizing customer data, assesses match rates, recommends new data providers, coordinates data processing, and unifies data across systems.

John Donlon, Senior Director of Marketing Operations Strategies at SiriusDecisions, called acquiring and standardizing high quality prospect data as “one of the biggest challenges marketers face” and “critical” to implementing the SiriusDecisions Demand Unit Waterfall.  “Any technology that can facilitate that will give organizations a huge leg up not just in understanding their target audience, but in driving meaningful interactions throughout the buyer’s journey.”

Openprise claims that no single data vendor can provide superior data than their platform.  They also warned that a multiple vendor strategy is often ineffective due to industry content white labeling, resulting in little incremental value.  “With our Multi-Vendor Enrichment Strategy Service, our customers know quantitatively how each incremental vendor’s data will improve their database and they have the processes in place to easily integrate new data in a way that conforms with their existing data policies.”

The Openprise platform supports data onboarding, data cleansing and enrichment, data unification across systems, and data delivery.

Other members of the marketplace include ZoomInfo, InsideView, Salesgenie (Infogroup), Orb Intelligence and Synthio.

InsideView Marketing Suite for Microsoft 365

Sales and Marketing Intelligence vendor InsideView rolled out a Marketing Suite for Microsoft 365 which packages add-on prospecting and enrichment capabilities for the Microsoft 365 InsideView service. The new suite helps “modern marketers grow and improve the quality of their pipeline, prioritize leads, find and engage ideal prospects and customers, and support account-based marketing (ABM) programs.”

The Marketing Suite bundles InsideView Enrich (lead and webform enrichment), InsideView Target (list building), and InsideView Refresh (Batch Account updates). InsideView is offering special “Suite Deal” pricing.

InsideView has long provided a natively embedded free Insights service for North American sales reps within Dynamics.

InsideView Refresh Match Analytics.
InsideView Refresh Match Analytics.

InsideView Apex, their recently launched go-to-market decision engine, is a further option for the Marketing Suite.

“Today, as more B2B marketers use targeted strategies like account-based marketing to expand customer relationships and win new ones, they need a marketing automation solution that helps them identify and engage with the best opportunities,” said Joe Andrews, InsideView VP of product and solution marketing. “The InsideView Marketing Suite builds on the foundation of Microsoft Dynamics 365 for Marketing so marketers can tap into our Targeting Intelligence to get higher quality data, make better marketing decisions, and execute more successful targeted marketing programs. As a Microsoft OEM partner, InsideView is always looking for ways to extend the value we can offer their customers.”

2018 SalesTech Landscape

The SalesTech Landscape covers over 500 solutions.
The SalesTech Landscape covers over 500 solutions.

Nancy Nardin of Smart Selling Tools published her 2018 SalesTech Landscape with more than 500 companies, a 25% increase over 2017.  While the scope of the industry is impressive, it is one-tenth of the MarTech Landscape list put together by Scott Brinker and Chief MarTech.  Many of the SalesTech companies appear in both lists.

“The SalesTech space is certainly a crowded market. It’s complex and confusing and it will become more, not less, confusing for the foreseeable future. I don’t see a major consolidation happening any time soon despite recent acquisitions,” said Nardin.  “At this point, there is unquestionable pressure due to sales tool fatigue, for solution providers to broaden their offerings either by acquisition or added functionality. Fewer companies are willing to manage the implementation and adoption of 10 or more individual sales tools – many of which have over-lapping capabilities.”

Nardin recently launched a second company called Vendor Neutral which assists sales departments with identifying “the right mix of solutions based on your organizations capability gaps.”

DealSignal Total Audience Platform

DealSignal, which offers an on-demand platform for Total Audience and Contact Data Management for B2B marketing and sales, recently rolled out its Total Audience Metrics (TAM) module.  The new platform helps sales and marketing professionals improve Go-to-Market and Demand Planning processes by allowing them to measure and visualize their total audience and determine coverage gaps in their CRM and MAP.  The new platform analyzes TAM by persona, account segment, and buying committees (what SiriusDecisions calls Demand Units).

“We’ve run hundreds of TAM analyses for B2B marketing teams in various industries and customers are consistently surprised to find that they’re missing more than 80 percent of their target audience—the contacts that fit their target personas and ideal customer profile. TAM coverage is currently averaging 18 percent in existing CRM and MAP systems. It’s a big ‘aha moment’ to learn that you’re missing out on marketing or selling to a large majority of your potential buyers. Often, the best potential buyers – those most likely to convert – are among the missing contacts found in the gap analysis,”

  • DealSignal CEO Rob Weedn

The firm is seeing rapid uptake on its TAM service which is available as either a freemium (TAM Estimates) or paid option (TAM Actuals).  “Early feedback is that this is a great way to verify the counts and size up the Outbound and/or ABM marketing programs over the upcoming year,” said Weedn.

According to DealSignal, TAM Estimates are accurate to ± 20% of Accounts and Contacts.  “We’ve been offering this for a few months and it is very popular” with customers and prospects “leveraging this analysis for initial demand planning and budgeting,” said Weedn.  “TAM Actuals is a Paid Offering, charged based on credits on our platform, which provides perfectly accurate Total Audience metrics based on Accounts and Contacts.”

The DealSignal platform dynamically discovers, refreshes, and verifies records based on the TAM criteria.

DealSignal has adopted the term TAM, but calls it Total Audience Metrics instead of Total Addressable Market.  Weedn explained the difference between the DealSignal and Classic TAM approach:

Total Addressable market is classic and static top down analysis, based on sample/partial market data, typically performed by market research and analyst firms like IDC, Gartner, etc.  “Classic TAM” is not necessarily an accurate sizing of the market, it is not frequently updated, and, most importantly, there is no real way for marketing and sales teams to plan marketing and sales programs with a classic and static top-down TAM, and definitely no way to execute against the Accounts and Contacts in that TAM.

DealSignal, is here to help marketers market and sellers sell, so we perform an accurate, bottoms-up, dynamic analysis, based on complete market data, of the actual counts of the Total Audience – which we define as the Accounts that meet Target Market criteria (Industry, Employee, Revenue, Technologies Used, etc.) and Contacts that meet Ideal Buyer Persona criteria.  Further, our Total Audience Metrics/Measurements include a process to dynamically discover and verify the underlying Accounts and Contacts, so TAM Analysis is dynamic, based on actuals, and can be updated on demand.  The Accounts and Contacts can then be converted, with one click, to fully enriched and verified with full Account/Contact Profiles and Contact Information to be used in marketing and selling initiatives.

Using the DealSignal platform, users can define target personas and Ideal Customer Profiles (ICPs) to build out their TAMs, using micro-targeting criteria such as Titles, Profile Keywords, and Locations that yield results as ranked lists of relevant accounts and contacts. The module compares the TAM against the CRM and identifies gaps by account, industry, geography, etc.  DealSignal provides the TAM based not only on CRM data and large third-party sources, but through dynamic sourcing and verification, so the TAM results are “comprehensive and accurate” with net-new accounts and contacts.

DealSignal combines APIs, algorithms, and human intelligence to achieve a much higher level of contact accuracy (95 – 100% according to the firm) than most vendors.  The company provides a 100% guarantee on all Account and Contact data.  The system enriches and verifies existing leads, contacts and accounts.  As it conducts dynamic data sourcing, DealSignal claims account enrichment match rates between 95 and 100% and lead enrichment match rates between 85 and 100%.

DealSignal TAM Analysis Module
DealSignal TAM Analysis Module

DealSignal dynamically discovers, enriches and verifies account and contact lists through a combination of AI robots and researchers combined with CRM and MAP feedback loops.  The firm claims a deliverability rate between 94 and 97% and reverifies data on demand for every customer request, with a two week window for contact aging.  Records that fall outside of the two-week window are reverified overnight.

“Since static data-at-rest quickly becomes dated, we do not trust it, you should not trust it, and you should certainly not rely on it to define or optimize your vital marketing or sales programs. It must be renewed and refined at runtime,” said Weedn.  “We believe in dynamically refreshing and re-verifying data on-demand, when it needs to become active and put into a marketing or sales process—and we’ve uniquely designed the DealSignal platform to do just that.”

DealSignal has automated and editorial processes that place its data quality at a level claimed only by DiscoverOrg.  Both firms utilize editorial teams for staying ahead of the 25 to 30% contact decay rate suffered by static databases.  DiscoverOrg performs a full data verification every 90 days while DealSignal performs a just-in-time data quality review overnight.

“Marketers and sales teams currently rely on solutions that provide 50 to 80% quality.  That is a B- or F on a test, and we need to change the expectation to impeccable quality, at 95-100% (A or A+) to greatly improve marketing and sales performance,” said Weedn.

Last month, DealSignal released a GDPR risk assessment module which enriches CRM data with contact locations and flags EU-based leads.  Users can also choose to exclude EU-based leads.

“B2B marketers are faced with many challenges today: identify and engage their total audience, try to keep their audience data fresh and accurate, and comply with new regulations like GDPR. Given the negative consequences associated with GDPR, most marketers are scrambling to review and re-verify the location and status of their contacts,” said Weedn.

Leads are pre-purchased on a volume basis with 1,000 credits running $895.  Volume discounts kick in at 5, 10, 25, 50 and 100 thousand credits.

D&B Optimizer for Marketing

DNB Optimizer for Marketing -- Key Features
DNB Optimizer for Marketing — Key Features

Dun & Bradstreet rebranded D&B Workbench Data Optimizer as D&B Optimizer for Marketing and announced a set of enhancements to the platform.  The Workbench name, now dropped, went back to the product’s origins as NetProspex Workbench, one of the first DaaS Hygiene / Enrichment / Prospecting platforms.  The rebranded product includes a series of new features including an Analyze module, Salesforce Contact Optimization, custom email deliverability targets, and NAICS industry code support.

“This new name reflects Dun & Bradstreet’s commitment to deliver the very best in data optimization services,” the firm wrote its clients.  The new name is also consistent with its other Optimizer solutions: D&B Optimizer for Salesforce and D&B Optimizer for Microsoft.

The new Analyze module delivers profiling and market opportunity analysis “utilizing D&B Master Data and proprietary machine-made analytics.”  Features include dynamic dashboards which help marketers visualize their primary profile by revenue, employee size, and industry.  The service also provides look-a-like opportunities to assist with ABM expansion and pipeline growth.

The new Salesforce Integration for Contact optimization supports contact cleansing and enrichment at a frequency determined by the customer.  Dun & Bradstreet claims that the Salesforce integration may be setup in fewer than twenty minutes.

Custom Email Deliverability Levels allow marketers to dip deeper into Dun & Bradstreet’s pool of emails and select contacts with lower reliability scores.  The default level is 90% deliverability, but highly targeted selects may require using contacts that are below the 90% deliverability threshold.  Dun & Bradstreet called the 90% threshold “our recommended level for most email campaigns.”

Finally, D&B Optimizer for Marketing added NAICS industry code selects.  The product already supports the older US SIC industry taxonomy.

Other D&B Optimizer for Marketing features include data validation and standardization (email, phone, address), duplicate flagging, data hygiene reports, lead prospecting, segmentation analysis, and data enrichment (firmographics, D-U-N-S Numbers, corporate linkages, technographics, biographics).

TechTarget Priority Engine Q2 Release

 

 

Priority Engine account profiles combine TechTarget intent signals with HG Data platform insights and DiscoverOrg executives
Priority Engine account profiles combine TechTarget intent signals with HG Data platform insights and DiscoverOrg executives

Technology media and intent purchasing firm TechTarget announced a set of enhancements to its Priority Engine service “that vastly improve ABM performance, increase sales productivity and maximize demand generation success for enterprise B2B technology organizations.” Amongst the enhancements are improvements to the user experience, a new Salesforce widget, persistent URLs, list assignments, user roles, and improved topic filtering.

Priority Engine combines executive intelligence with purchaser specific demand signals spanning 10,000 IT Topics across its technology research sites.  The service marries HG Data technology intent intelligence with DiscoverOrg contacts, Owler firmographics, and TechTarget intent data and prospects.  Priority Engine assists sales and marketing professionals by “expanding access to total buying teams at active accounts and showcasing rich purchase details such as installed technologies, vendor shortlists and specific, relevant topical interests.”

Priority Engine is GDPR compliant across its 18 million professional profiles who have opted into TechTarget partner marketing programs.  Furthermore, because TechTarget has opted-in user profiles, it is able to provide intent data at the individual level.  This contrasts with other intent networks which gather anonymous intent information at the company level.

User Experience enhancements include a left-side navigation menu and search bar.  The navigation bar provides account list management, export functionality, and export monitoring.  The search bar provides a type-ahead company list to expedite account searching.

Account profiles contain Owler headquarters information along with a business description, logo, sizing data, and social media links.  Also displayed in the business summary are an account interest gauge, Buying Team counts, Vendor Interests based upon downloaded vendor content, and Top Interests.  The account Interest gauge evaluates site readership (number of readers, type of content, scope of vendor interest) to determine whether the prospect is Evaluating Vendors, Ramping Up, or Not Active in the segment.

TechTarget also offers a set of intent signals based upon readership patterns: Widespread, Sustained, Late Stage, Stakeholder, and Cross-Vendor.  According to the firm, “the more blue dots that are lit up, the more focus sales should commit to the account.”

TechTarget Priority Engine Intent Signals
TechTarget Priority Engine Intent Signals

At the top of each Account Profile are the licensed segments.  Sales reps can click on any of the segments and the profile is filtered for the segment across TechTarget Buying Teams, DiscoverOrg Contacts, HG Data products, and the business summary.  TechTarget offers 300 technology market segments with over 200 available for North America.

Priority Engine users are now assigned to one of three roles: Administrators, List Builders, and Read-Only.  Administrators have full system functionality along with account management responsibilities.  Both Administrators and List Builders can build and assign account lists to other users.  Only Administrators can export records.  Priority Engine suggests that Administrators are usually marketers and that List Builders are typically Sales Managers.  View only users would be inside sales reps that would be working account lists but not building them.

Account List Building was redesigned with reorganized and expanded filters displayed on a single page.  Filters have been separated into common and advanced screens with common filters spanning firmographic, technographic, and intent variables.  Advanced filters include Last Touch, Purchase Signals, and HQ location.  Within any filter, users may select Includes Any (OR), Include All (AND), and Exclude (NOT) Boolean logic.

Users can also rank results by market segment.  Most Priority Engine subscribers have between one and five licensed segments.  Except for the largest technology firms that operate in many segments, the firm contends that focusing on key segments provides better results than including adjacent technology segments.

Previously defined lists are available for both suppression or sub-list targeting.

TechTarget Priority Engine List Building
TechTarget Priority Engine List Building

Lists are ranked according to intent signal strength for a market segment.  Clicking on a different segment results in a different set of priorities.

The new Ranked Accounts list view includes the navigation bar along with company logos, the top areas of interest, and the company most influencing the account over the past 90 days (based upon TechTarget content viewing patterns).  Clicking on any account takes the user to the account profile.

The persistent URL provides a direct link between sales and marketing platforms to the Priority Engine Dashboard.  “The sales-to-marketing handoff can be one of the most challenging aspects of implementing modern marketing strategies, especially ABM. To properly inform and empower salespeople, you must be able to pass along valuable account-level insights with each lead — and few systems or workflows support this,” said Michael Cotoia, CEO, TechTarget. “Priority Engine addresses this challenge by providing a persistent and portable account link that can be embedded within any existing sales or marketing systems.”


Please continue to Part II which discusses the Priority Engine Salesforce connector, product repackaging, and market momentum.

Lattice Atlas Customer Data Platform

Lattice Atlas provides a unified customer view for omnichannel audience activation and personalization.
Lattice Atlas provides a unified customer view for omnichannel audience activation and personalization.

Lattice Engines announced commencement of a private beta for its Atlas Customer Data Platform (CDP).  Lattice Atlas matches internal and Lattice Engines data sources, provides a single view of the customer, and supports a centralized audience platform for cross-channel creation and measurement.  The formal launch is planned for the end of the year.

According to Lattice Engines, “Marketing organizations struggle to scale their Account-Based Marketing (ABM) programs because each application they deploy has its own data, segmentation, activation and measurement modules. This has led to a fractured buyer journey because banner ads, social ads, emails and sales calls communicate different messages, which creates confusion. Lattice Atlas solves this problem directly by integrating all the application data into a single place and providing the ability to manage this data, segment on it, and activate it through open APIs.”

“A CDP connects existing systems to create a unified customer view that makes ABM possible. In a world that never stops changing, the power and flexibility of a CDP will help marketers deliver on the promise of ABM.  The features you need in a Customer Data Platform (CDP) will depend on your business, existing systems, and intended use. There are a few key considerations when evaluating CDP solutions for executing ABM programs, including a unification of all data sources, segment creation, campaign execution and predictions.”

  • David Raab, founder of the CDP Institute

Lattice contends that ABM at scale requires a CDP supporting four key attributes:

  • Unified Customer Data: After aggregating and consolidating customer data, a CDP must link identity, behavior, purchase history, and firmographics.
  • AI-driven Audiences: The CDP must not only score accounts and contacts, but identify buying committees, assess buying stage, and recommend the next-best offer.
  • Omnichannel Activation and Personalization: The CDP suggests highly personalized campaigns across relevant channels.  The messaging must remain consistent across all of the channels.
  • Enterprise Grade Governance: The CDP maintains data security and privacy while complying with relevant laws such as GDPR.

Lattice Atlas aggregates client data across platforms and appends it with data from the Lattice Data Cloud.  First-party content is gathered from CRM, marketing automation, web visitor logs, transaction histories, product usage details, etc.  The Lattice Data Cloud enriches the customer view with firmographics, intent data, and technographics.  Lattice also maintains an ABM Identity Graph which organizes customer data by account, buying center, and contact.

“Lattice Atlas was a natural evolution of our platform,” blogged VP of Products Chitrang Shah. “Since day 1, our approach has focused on being deeply integrated with each execution application and managing all data under one platform. Because of this we not only capture the largest amount of data, but also all that relevant metadata that describes it. Lattice Atlas is built on our understanding of these applications and their data to create the first CDP for enabling ABM at scale.”

Audience creation tools predict conversion likelihood, purchase window, and likely spend.  Atlas also supports next-best targets and next-best actions. 

Lattice Atlas connectors support Marketo, Eloqua, Salesforce, and a set of REST APIs.

Other features include GDPR opt out for campaigns and all marketing communications, engagement thresholds to prevent marketing fatigue, and lead-to-account mapping.

The initial Atlas application will be Playmaker which offers prescriptive recommendations to sales teams.  “Playmaker lets them quickly identify top products to sell across all audiences and programmatically deliver those recommendations to the sales teams,” said Shah.  “It also has built-in interactive dashboard to track the engagements (or lack of it) and its impact on the pipeline, enabling out-of-the-box visibility into play ROI measurements and the ways to improve it.”

“The holy grail of B2B marketing is creating 1-to-1 experiences across the entire buyer’s journey. This is why the B2B world is so interested in ABM these days. In order to craft personalized experiences at scale, our customers need a data foundation to better understand their target audiences, and an execution platform to engage those audiences in meaningful ways. With Lattice Atlas, we now enable companies to engage their buyers with 1-to-1 omnichannel experiences, making B2B marketing as personalized as B2C marketing,” said Lattice Engines CEO Shashi Upadhyay.

Lattice has over 200 customers including PayPal, Adobe, Dell, and SunTrust Bank.