Tag: Data Hygiene

Data Axle Audience360

Marketing and Business Intelligence vendor Data Axle unveiled Audience360, its suite of data management capabilities that consist of front-end data capture, data management, and data distribution.  Enterprise data is ingested via APIs or FTP and then processed through a suite of cleansing, standardization, enrichment, identity resolution, and deduplication modules.

Data Axle offers US and Canadian business, consumer, and B2C linked datasets for enrichment and identity resolution.  Data Axle also announced significant improvements to its reference databases.  That announcement will be covered in tomorrow’s post.

Audience360 supports multi-source data ingestion, data management, and data distribution.

Once cleansed and enriched, data can be sent to a broad set of enterprise platforms, including:

  • CDP: Tealium, ActionIQ
  • CRM: Salesforce, MSD 365, Sales Genie (Data Axle’s Sales Intelligence service that provides a set of SFA capabilities)
  • MAP: Adobe (Marketo), Oracle Marketing Cloud (Eloqua)
  • Cloud: AWS, Snowflake, Google Cloud, Azure
  • DMP: LiveRamp, Lotame, TradeDesk, Oracle Data Cloud, and half a dozen other programmatic platforms.  Data Axle supports nearly one billion hashed emails to assist with targeting.
  • BI platforms: Adobe, HCL Unica, Alterian

“A lot of people struggle with the rigidity of some of the tools that are out there,” explained Data Axle SVP of Client Technology Solutions Sal Pecoraro.  “People think that when they buy a marketing cloud platform, it does all the data hygiene work.”

Audience360 lets data analysts and operations teams “design data capture, data management processing, and distribution into the system that they need,” continued Pecoraro.  It doesn’t matter whether the platforms are on-premise or hosted in the marketing cloud or S3 buckets on Amazon.

Pecoraro emphasized data security with encryption both in transport and at rest.  “If they need to anonymize data, we can match IDs, etc.  So, if there are security concerns about exporting their data to us, we can handle that through encryption and anonymization.”

He also positioned the solution as more flexible, quick to implement, and less expensive than other solutions, with a strong ROI.  Platform flexibility is “the most important thing, with support that goes beyond CDPs.  Furthermore, alternative platforms are expensive, ”large investments.”  This “rigidity” and high cost make it difficult to define a strong ROI and use case.

Conversely, “ours is much less expensive, quicker to stand up, more flexible to have those components that you need added.  You can add or remove things over time.  It’s not a black box or rigid solution that you can adjust as your business changes.  But I think flexibility [and] speed to market is some of our core value.”

And because the platform is service-based, companies don’t need to worry about training, upgrading the platform, or managing bug patches.  “We take requirements, we do configurations, we build automations, and we plug in on data receipt and export.”

Due to the system’s flexibility, pricing is bespoke based on volume, processes, and integrations.  Pricing is generated by the requirements gathering team, and implementation is passed to a design and implementation team.  Later, ownership is managed by a post-implementation support team. 

Audience360 offers an “iterative process” that lets clients add or remove processes, data sources, and integrations.

As Data Axle offers three datasets, a broad set of linkages are supported, including households, corporate families, business/consumer, and employment.

Audience360 is generally available. 

Clients include multiple healthcare companies and a large telco.  The service also supports retailers, financial services, and travel/leisure.

Continue to part II which covers Data Axle’s expanded US data coverage.

LeadGenius Campaign Plays, Rapid Enrich, & APAC Expansion

B2B Data and Intelligence vendor LeadGenius announced its expansion into the APAC region with “substantial” coverage of Japan, South Korea, Australia, and India.  The firm also touts “emerging” coverage of China, Vietnam, and Uzbekistan.  Simultaneously, the firm announced its new LeadGenius Plays and Rapid Enrich offerings.

“By leveraging top-performing campaigns from exceptional marketers, we help businesses launch complex data requests in seconds,” said VP of Sales and Customer Success Zeb Couch.  “We are continuing to work with our clients around the world to build global B2B data aimed at increasing growth through custom signals and account insights.  With over 80% of B2B data undiscovered or underutilized, we want to give our clients every tool possible for targeting and differentiation.”

LeadGenius Plays simplifies custom data campaigns and look-a-like audiences based on non-standard data characteristics.  Plays also enriches files and appends missing fields.

LeadGenius employs artificial intelligence, robotic process automation (RPA), human intelligence, and curation when collecting its data.

LeadGenius Campaign Plays

LeadGenius also announced its Rapid Enrich real-time DaaS product this week, with coverage of enterprise, SMB, and global data.

“In the fast-paced world of B2B data, the need for a solution that offers agility, precision, and comprehensive insights was evident,” stated LeadGenius CEO Mark Godley.  “With the unveiling of Rapid Enrich, we are setting a new standard for data enrichment technology, enabling our clients to stay ahead in an increasingly competitive landscape.  We are thrilled to introduce Rapid Enrich as our latest innovation in providing agile, comprehensive, and industry-leading data solutions.  Our relentless pursuit of excellence and commitment to our clients’ success remains our guiding principles as we continuously push the boundaries of what’s possible in the B2B data sector.”

LeadGenius emphasized its data security and privacy management.  Rapid Enrich includes “contractual assurances of responsible data handling, coupled with transparent audit trails that enable businesses to maintain an unquestionable record of their data management activities.”

SalesIntel Unlimited Credits

B2B DaaS vendor SalesIntel shifted away from credit-based data pricing to unlimited data access to its firmographics, technographics, contacts (including emails and direct dials), and news alert intelligence.  Pricing is based on the number of users, with unlimited access to downloads, exports, and data enrichment.

”SalesIntel’s unlimited everything plan removes the friction, frustration, and predatory pricing so many customers experience when working with other B2B data providers.” comments SalesIntel CEO Manoj Ramnani. “We are proud to be a true partner to this industry by leading a pricing revolution that will help go-to-market teams build limitless pipeline.”

SalesIntel’s unlimited content includes:

  • 300 million unique technology installs across 22 million accounts.  Technographics span 18,000 technologies.
  • 100 million email-verified contacts.  Of these, over 17 million are maintained by SalesIntel editors and regularly reverified to maintain a 95% accuracy level.
  • B2B account news and alerts for 22 million companies organized into 32 categories.

Contracts include the RevDriver Chrome extension, Bombora intent data, and platform integrations (e.g., Salesforce, Dynamics 365, HubSpot, Outreach, Salesloft, Marketo).

Licenses also include access to SalesIntel’s Research-on-Demand editors for finding new contacts or reverifying contact information.  Research on Demand is subject to credits, but at 120 per seat, the cap is generous.

SalesIntel has simplified pricing based on the number of seats.

Under credit-based pricing models, “Marketing is worried about not having enough credits for campaigns, Sales is worried about not having enough credits to effectively prospect, and RevOps is worried that there won’t be enough credits to keep all this data clean.”

Removing credit-based pricing offers several benefits to customers: 

  • Budgeting is simplified as the total cost of a SalesIntel contract is known when the contract is signed.  RevTech teams do not need to create mid-year POs if credits are running low or additional marketing campaigns are planned. 
  • RevOps does not need to allocate and monitor credits across multiple teams or reallocate a dwindling set of credits at the end of the year.
  • Marketing can run enrichment, including visitor enrichment, and updates as frequently as they’d like, limiting the impact of data decay on their account, contact, and lead data.
  • Marketing can regularly analyze and expand its ICP and test new verticals without worrying about credits.
  • Sales Reps can research and sync key contacts to their SEP or CRM without worrying about using up their allotted credits halfway through the year.

Furthermore, SalesIntel does not include any “data destroy” clauses, a legal issue that some incumbent vendors employ to increase the cost to defectors.

CMO James Lamberti explained to GZ Consulting that credit-based pricing “becomes a barrier to value for the customer,” with customers feeling “trapped” by usage limits.  “We want people to begin to appreciate the full depth and breadth of our data and to leverage it in ways to make themselves more efficient.”

Ramnani argued that SalesIntel customers enjoy value via “three very simple steps:

  1. We help them identify their ICP using the intelligence from our firmographic and technographic data.
  2. Then, we apply the intelligence of news and intent data to see who from their ICP is in the market today.
  3. Within those in-market companies, our customers enjoy direct conversations using mobile phones and direct dials.”

However, “context is everything.”  Vendors that provide large contact sets without the context of an ICP, account news, and intent data (i.e., steps 1 and 2) are providing names and numbers but fostering inefficiency in their go-to-market.  Targeting is more than simply finding many names.  Revenue teams need to know whom to call, when to call, and what to say.

SalesIntel can offer unlimited data access because it owns all of its data except for Bombora’s intent file.

Historically, Sales Intelligence services offered seat-based pricing, and marketing data vendors provided volume-based pricing.  When services began serving both departments, credit-based models were crafted on top of seat-based pricing, creating complex and frustrating pricing.  SalesIntel is looking to return to simple pricing and “partner with the industry” based on “the value of our data and the quality of our software,” argued Lamberti.

Lamberti described the sweet spot for this model as the mid-market – firms between 40 and 50 employees and several hundred.  These firms have some maturity in their marketing stack and go-to-market motion, with multiple BDRs and sellers.

However, “if you’re just a ten-person team with one seller and one BDR, we’ll certainly do business.  We’re going to have a package for them.  But the unlimited package is really so that we can go after the market where we really are a great fit, where we win.”

“Strategically, we know that this is the time to strike.  We’re not VC-backed.  This is where Manoj has got the right [employee-shareholder] strategy,” argued Lamberti.  The firm is not subject to the financial pressure of outside equity investors or public markets.  Thus, the new pricing is designed strategically “to gain share and grow our market footprint dramatically.” SalesIntel contracts are annual with multi-year discounts.  Pricing starts at around $11,000, with additional seats priced at $1,200.  Current customers that renew early can convert to the new pricing structure.

Live Data Series A

B2B DaaS vendor Live Data Technologies closed on a $5 million Series A led by Entrada Ventures with “further participation from firms and individuals with deep backgrounds in data tech.”  Previously, the firm was funded from revenue, but “we raised this round when we saw the opportunities made possible by overwhelming investor interest and support.”

“We have been behind Live Data Technologies since the company’s inception,” said Entrada Ventures Managing Partner and Live Data Technologies Board Member Jason Spievak.  “The core technology has multiple compelling applications across industries and verticals.  The accuracy and quality of job change event detection are mission critical to anyone making informed decisions.”

Live Data focuses on contact changes and ensuring accurate contacts in the CRM.  It maintains data on 70 million contacts and 2 million companies, capturing 30,000 daily job changes from the open web.  Live Data argues that mining this intelligence from the web ensures more timely contacts than traditional data collection methods.

Contact data changes support:

  • Tracking champions as they move to new companies.
  • Highlighting account risk when champions or buying committee members depart.
  • Detecting promotions that create opportunities for success stories, upsell opportunities, and case studies.

“Each go-to-market strategy requires essential ingredients working together like a great recipe.  But, even the most perfect strategy will fall short if the people you put your message in front of are no longer relevant, or you lack up-to-date contact records, to begin with,” blogged Director of Growth Jason Saltzman.  “The bottom line is that business decision-making is done at the human level, and up-to-date contact-level data is essential for successful go-to-market programs.”

The firm will continue refining its DaaS offering and improving its data set and delivery. “Our Series A represents a confirmation that we are building something valuable,” said CEO J. Scott Hamilton.  “We see it, our investors see it, and our customers see it.  With all this recognition comes a pressure to take Live Data to the next level – and, in our eyes, pressure is a privilege.”

Demandbase CRM Connectors

Demandbase sales and marketing engagement data can be visually displayed in Dynamics 365.

Demandbase unveiled a pair of CRM connectors for HubSpot and MSD 365.  The bi-directional, native integrations allow Demandbase One to push data into the CRMs for automated workflows, Lead-to-Account mapping, tracking, and responding to engagement activity.  Syncing is performed nightly.

“This release creates a unified interface that empowers revenue operations, sales, and marketing teams to grow predictable pipeline and close larger deals,” blogged Demandbase Senior Product Marketing Manager Travis Breier.  “The integrations enable a variety of rich workflows for customers to enhance their analytics, derive valuable insights, target more efficiently, and build reporting that aligns with their own CRM data set and their GTM needs.”

Demandbase launched the unified first and third-party view in its Salesforce connector this summer and has now expanded it to two other leading CRMs.

Demandbase offers a set of Calculated Fields that includes intent, engagement, and predictive scores that are synced and displayed in CRMs.

Demandbase feeds intent and engagement data, firmographics, technographics, and Demandbase Calculated Fields into CRMs.  With this data, operations can create CRM custom sales views, reports, and dashboards that display website activity, intent, and heatmaps.  Sales reps can view both sales intelligence and engagement data from a unified view. 

Furthermore, CRM data is available for list building and filtering in Demandbase One.  Users can define selectors, set up orchestration, create Demandbase campaigns, visualize and apply Demandbase intent and predictive scores, analyze journeys, and build reports.  Furthermore, “accurate account identification, combined with their CRM data, also means better predictive models, marketing and sales alerts, personalization opportunities, and more.”

For example, past opportunity data from the CRMs are now available to Demandbase pipeline predict and qualification scoring models to assist with account prioritization.  Demandbase also helps, “align messaging to each stage” of the buyer’s journey and assists with list building and campaign execution.

Conversely, Demandbase is syncing its insights (e.g., intent data, web traffic, most engaged contacts) with the CRM, helping reps prioritize accounts and prepare for account interactions.  Insights include Demandbase’s configurable data, such as its scores and engagement minutes that populate custom fields.

Demandbase brought firmographic, contact, and technographics databases in-house following the May 2021 acquisitions of InsideView (firmographics, contacts, and event triggers) and DemandMatrix (technographics).  Intent data includes first and third-party intelligence such as Surging Intent, Demandbase Keyword Intent, Campaign Responses, and Web Page Visits.

Revenue Operations can also select intent data from Bombora and G2, which are processed through the ABX platform’s predictive models.

“Both of these integrations improve orchestration, delivering greater sales and marketing alignment and a friction-free experience,” stated Demandbase.

“These integrations ensure our customers who use Dynamics 365 and HubSpot CRM realize the full value of the Demandbase platform.  Pairing Demandbase natively with the CRM allows our customers to orchestrate a seamless go-to-market motion with full alignment between marketing and sales.  We’re providing the full power of our Account Intelligence in these connected systems and saving sales and marketing teams time by providing them actionable insights wherever they want to consume them.  The result is better performance with less manual effort at every stage of the customer journey.”

Demandbase CPO Brewster Stanislaw

Demandbase is not done with the connectors.  It plans to add additional functionality to the CRMs, including “new sales-focused experiences, additional capabilities in the Demandbase app in Dynamics, enhanced Lead-To-Account functionality, and the ability to automate and scale account-based / people-based plays directly from your activities.”

Demandbase supports both HubSpot CRM and Marketing Automation platforms.

Nektar.AI Exits Stealth Mode

Nektar.AI supports automated activity capture and CRM sync across the full customer lifecycle.

After two years in stealth mode, Revenue Operations solution provider Nektar.AI was unveiled earlier this month.  Nektar looks to solve the “CRM data leakage” problem whereby critical lead, contact, and opportunity data is omitted or decays.  For example, Nektar recognizes meeting attendees missing from the CRM and automatically creates contact records that include email, direct dial phone, title, and buying committee role.  Out-of-date or missing data negatively impacts both the sales process and operational functions such as analytics, automated recommendations, and pipeline forecasting.

Nektar offers a no-code platform that applies natural-language processing against email, calendar, chat, and social touchpoints, capturing revenue activity data across the full customer lifecycle and syncing it with the CRM.  Automated activity capture improves rep productivity, allowing sales professionals to focus on selling instead of data entry and updating.

“Sales teams depend on their CRM data to gain insights into team productivity, pipeline insights, and revenue forecasting.  Despite a CRM being an important system of record for modern go-to-market teams, it still grapples with the problem of poor user adoption and missing data.  As per estimates, 40-50% of sales activity data remains missing from a CRM, while 27% of the data that’s available in a CRM decays every month.  This leads to major data and productivity leakage,” stated the firm.

Furthermore, deals are becoming increasingly complex, with larger buying committees and sales teams communicating across an expanding array of sales channels.  While most of these conversations are now digital, they take place across disparate platforms and channels, resulting in data fragmentation.  Nektar’s mission is to collect this fragmented intelligence and feed it into the CRM, making it available to the revenue team without requiring sales resources to key this intelligence.

“There are a lot of reporting and analytics solutions out there.  Other solutions have been investing primarily in the downstream problem with respect to visibility and analytics, an important problem to solve.  But the core problem actually starts upstream, which is where activities are taking place and where data is being generated.  A lot of that data doesn’t make its way into CRM, which actually results in downstream problems.  If there’s poor data in, you will have poor insights available,” explained CEO Abhijeet Vijayvergiya to GZ Consulting.

“We found our product-market fit when we found that more than 50% of critical revenue activity data is not going into CRM,” continued Vijayvergiya.  “This data leak results in productivity leaks, and that results in revenue leaks.”

Furthermore, as firms make staffing cuts, “they’re trying to do more with less” and losing implicit knowledge that never made its way into the CRM.  Nektar allows companies to recover much of this lost activity and contact intelligence, boosting a firm’s ability to manage revenue operations during a recession.

“There are tools like Gong and Clari and some other forecasting solutions which provide good insights,” expanded Vijayvergiya on Nektar’s value proposition.  But these systems are not resolving the data leakage problem. 

Nektar claims 95% accuracy in its data capture and syncing processes.  The service can go live in ninety minutes and begins providing time to value in three days as it gathers both historical data missing from the CRM and populates it with ongoing activity capture. 

Nektar operates in the background, collecting and syncing data.  Thus, there are no training sessions or additional UIs to learn.  Sales reps do not need to toggle to other platforms, and their data entry work is significantly reduced.

“Nektar plugs the CRM data leakage without a user lifting their finger.  We basically eliminate the need for user adoption and give all the time back to salespeople to go and sell while relieving their administrative burden,” said Vijayvergiya.

While there have been third-party solutions to populate and enrich account and contact data records for over a decade (e.g., Dun & Bradstreet, ZoomInfo), these vendors were blind to the demand unit unless a sales rep entered all members.  Nektar is complementary to third-party DaaS providers, Revenue Intelligence vendors (e.g., Clari, Revenue Grid), Conversational Sales (e.g., Gong, Chorus), and business intelligence vendors (e.g., Tableau).

“We are aware that some of these solutions have their own activity capture system, but most of their activity capture solutions work in silos for certain sets of users who adopt their solution,” continued Vijayvergiya.  “Users are not adopting the solution, or data loss happens anyway.   A solution which we replace, more often than not, is Salesforce Einstein Activity Capture.”

Nektar supports email and domain exclusion lists to prevent mining confidential information (e.g., legal, investor relations, partner development).

Nektar is generally available as a native Salesforce solution, with HubSpot and Microsoft Dynamics on the roadmap.  In addition, all of its system integrations are native, providing higher quality and performance.

Nektar.AI closed a $6 million seed round last summer, raising its total funding to $8.1 million.  The round was led by B Capital Group, with Nexus Venture Partners, 3One4 Capital, and angel investors also joining.

Nektar has not disclosed pricing, but it is per user per month with SaaS-based pricing billed quarterly or annually.

Nektar is a fully remote company with 32 employees across seven countries with plans to hit fifty employees by the end of this year.  Although emerging from stealth, it already supports over 1,500 users. 

Nektar’s goal through year-end is to focus on its go-to-market strategy and North American hiring.

Nektar activity tracking at the account level

Data capture as an AI tool is becoming increasingly important. It probably isn’t a standalone offering but an underlying capability for populating the CRM with harvested digital intelligence, monitoring buyer engagement, and building out the buying committee. As such, it is core to both CRM data enrichment and revenue intelligence.

I have seen a series of data capture announcements from vendors of all sizes: big (Microsoft Viva Sales), medium (People.AI, Introhive), and small (e.g., Nektar, Winn.AI). I also covered People.AI and Winn.AI this week.

Vainu for HubSpot

Vainu for HubSpot Data Mapping rules.

Yesterday, I posted about Vainu’s new Global Database. The firm also announced its Vainu for HubSpot connector for matching and enriching company data against its global reference database.

“Most sales and marketing teams want to be data-driven.  They want to run ABM campaigns, apply modern lead scoring models, and automate many parts of the sales process.  SalesOps and Marketing Ops professionals are there to facilitate all that, but there’s one common challenge they’re facing: CRM data is messy and outdated,” observed Vainu co-founder Mikko Honkanen.  “With that struggle in mind, we thought it would be a good time to launch a new HubSpot connector at the same time that we’re launching Vainu Global…so that it’s easy for companies using HubSpot to get their CRM data cleaned, updated, and enriched.”

As companies are being matched against Vainu’s new global database, not registered Nordic filings, the match field is URLs, not business IDs or VATs.  With forms, contacts are matched against email domains.  If a company is not already in HubSpot, new Accounts are created, and the Contacts are associated with the new record.

“This means it works very well with HubSpot CRM, because domain is often the company property that a business will have for almost all of the company records they have in their CRM, which means that it’ll be easier to match the companies in HubSpot to our database,” contended Honkanen.

During beta testing, match rates were as high as 99%.  For non-matched records, the firm offers on-demand matching against missing domains.  If they are valid domains, Vainu adds profiles to its company directory.

Along with standard firmographics, account enrichment includes Vainu’s Custom Industry segments, global web traffic ranking, and Vainu segments (e.g., website keywords or phrases).  Profiles generally have four to eight industry labels, helping with targeting.

Other fields include technographics and domain redirect information.  Redirects are often implemented after acquisitions or rebrands and are useful for assigning contacts.

Vainu for HubSpot Send to CRM

Vainu offers a field mapper for assigning Vainu data to HubSpot and setting update rules.  For example, admins can set field update logic to always update, update if null, or never update.  Vainu custom fields that are not in HubSpot are automatically created.  Along with companies, admins can map contacts, tasks, notes, and deals. 

Thus, admins can build a campaign and upload it to HubSpot with task assignments.  The inclusion of tasks and notes helps specify campaign details, such as recommended collateral and case studies, with the Vainu Custom Industry and Technology Intelligence assisting with messaging.

If companies do not exist in HubSpot, Account records are created.  If they exist, then the existing records are enriched. 

By default, HubSpot does not overwrite current account owners.

Updates can be performed on a scheduled basis or executed as a one-time batch operation. 

Vainu intelligence with tasks and notes displayed in HubSpot.

Matchbook AI Funding

Matchbook AI, which offers External Data and Data Hygiene solutions to enterprise clients, has announced a $3 million seed extension.  It previously received $1.7 million in seed and friends and family funding.

Matchbook was founded in 2018 but operated as a garage project for a couple of years before being incorporated.  CEO Rushabh Mehta had the idea for the Matchbook Data Hub while an industry evangelist and initially built the solution with Dun & Bradstreet data.  The Data Hub provides a configurable, hierarchical matching service that matches and enriches records with a single API call.  Both batch and real-time matching are supported, with cascading and waterfall matching processes.  In addition, a rules engine allows customers to construct bespoke data cleansing and filtering rules specific to various business units and use cases.  The Data Hub will be powered by Snowflake.

The system can use other identifiers such as domains or emails if the account cannot be matched by name and address.  In addition, the system manages deduplication and prevents creating duplicate records when onboarding accounts. The solution can also support more complex matching scenarios to allow for verification checks and multi-attribute matching.

“I can immediately see if I already have an existing relationship with that account,” Mehta explained to GZ Consulting.  “Just because I keyed in the name incorrectly or a previous account had a different address for that same company, I should still be able to identify and say, ‘Hey, no, it’s the same company to the same account.’”

The Data Hub also manages information for enterprise clients with multiple CRMs, helping “provide that visibility across CRMs, across ERPs, or CRM and ERP.”  Thus, Matchbook can identify whether “there is already an existing relationship within the organization with that particular entity” through third-party identification.  Furthermore, matching identifies parent-sub relationships tied together by D-U-N-S numbers.

According to Mehta, customers want controlled updates to their CRM or ERP, not real-time updates.  They also want to control which fields are updated with the data hub keeping “everything mastered in one place” with the intelligence accessible to the organization.

Matchbook AI’s data partners and supported platforms

Along with Dun & Bradstreet’s data sets (e.g., companies, contacts, hierarchies, beneficial ownership, D-U-N-S identifiers, technographics, competitors, company news, and credit and supplier risk profiles), Matchbook AI provides third-party reference data from ZoomInfo, Demandbase, Moody’s, Experian, Melissa, and Google.  The service also includes sanctions and terrorist watchlist data for compliance use cases.

The Data Hub operates as a centralized external data repository for maintaining data quality and standardizing data across platforms, including Salesforce, Snowflake, SAP, Informatica, Microsoft, Oracle, Certa, and Reltio.  The Data Hub supports a broad set of processes and departments, with sales, marketing, finance, IT, logistics, compliance, legal, and supplier management use cases. It also plays a critical role in MDM use cases through integrations with Reltio and others.

Matchbook claims implementations between two days and two months, significantly faster than its competitors.  Furthermore, as a DaaS solution, it is 90% less expensive than in-house solutions.  It also claims a 75% savings on expenses related to maintaining a data stewardship team due to “improved data quality and automated management.”

VP of Sales & Marketing Wesley Billingslea described a recent dinner with a Fortune 500 CIO who described Matchbook AI as “quite strategic and pervasive because we go across departments,” whereas “most MDM projects sit in the IT organization.”  This approach “empowers” teams across the organization with superior data and a plug-and-play solution.

Matchbook focuses on enterprise clients, with 59% of its customers in the Fortune 500.  It takes a land-and-expand approach that proves itself in one department or on one platform and then extends to others.  Contracts are usually written for a single year and then converted to multi-year contracts a year later.  The strategy has resulted in a 118% net retention rate and a projected ARR increase of 220% this year.

“As we gear up our sales and marketing efforts, we are confident that we will soon achieve $3.5 million in annual recurring revenue (ARR) with Current ARR of $1.85 million,” said Mehta.  “Data should be trusted, enriched, and always ready.  I feel very confident in our approach as we take these next steps and help companies understand their data DNA in this age of intelligent business.”

Matchbook claims an impressive LTV/CAC ratio greater than 12, an important indicator of stickiness, value, and an efficient go-to-market approach.

Mehta noted that it is just entering a large market with a rapidly expanding TAM.  According to MarketsandMarkets, data cleansing and global master data management were an $11.3 billion market in 2020, growing to $27.9 billion by 2025 (19.8% CAGR).

“Our value proposition to an MDM implementation can mean the difference between success and failure,” said Mehta.

Pricing is based on a records-under-management model, providing a predictable budget line to companies.  Implementations range from 50,000 to 100 million records. Matchbook has grown to 51 employees in the Americas and Asia.  The bulk of its R&D is conducted in Asia.

Lusha Salesforce Data Exchange

Lusha Enrichment Editor

Contacts database Lusha announced the general availability of its Salesforce Data Enrichment (SFDE) service.  The new service provides on-demand, periodic, or continuous data enrichment, ensuring that company and contact data remain accurate. 

An Enrichment Editor helps operations managers understand how many records need enrichment and the number of leads, contacts, and accounts recently added to Salesforce and available for enrichment.  The Salesforce admin can run an initial enrichment against the full database or target a subset of records for enrichment, with the Enrichment Editor supporting custom audiences for updates based upon multiple Salesforce field criteria.

The Salesforce admin performs the initial field mapping during the integration setup.  Custom fields are supported, and the admin can choose whether to override existing values during enrichment.  Lusha recommends that admins create special fields, such as Lusha Email, to avoid overwriting current field values.

SFDE is an Enterprise add-on and is subject to an access fee.  Analyst Relations Manager Alina Sharon-Green warned GZ Consulting that “extensive usage may require the purchase of additional data credits.”  As a launch promotion, enterprise customers will receive SFDE for free through the end of the year.

Lusha already supports Send to Salesforce functionality but does not provide I-frame support or “stare and compare” updates within AppExchange records.

“Companies spend huge amounts of resources building CRMs of both current and prospective leads but suffer from the speed the data becomes outdated and irrelevant,” said CEO Yoni Tserruya. “B2B sales organizations rely on their CRM to identify the right prospects – so when this data is incomplete or inaccurate, their time is wasted, and opportunities are lost.  With our new SFDE solution, sales teams are given direct access to Lusha’s extensive database of accurate contact and company information to automatically enrich their existing data and gain new insights on their prospects to scale business results.”

Lusha has grown its database to 100 global million contacts, which includes 60 million emails and 50 million direct-dial phones.  All contact records are processed through a seven-step verification process.  Lusha also profiles 15 million global companies. Lusha continued its rapid pace of growth, doubling its paid user base in H1, “with significant growth in Enterprise users,” stated Sharon-Green.

LinkedIn Sales Navigator Q2 2022 Release

The new Sales Navigator search UI dynamically updates the results list as soon as a filter is added or removed.

LinkedIn began rolling out its Q2 Sales Navigator release to users earlier this month.  As with previous releases, admins receive the release first, with general users following a few weeks later.  New features include expanded data validation, a new SNAP integration with conversation intelligence leader Gong, and the continued rollout of Sales Navigator’s new Search and Lead Page experiences.

Companies have responded to the pandemic and Great Reshuffle by increasing channel noise, hoping to break through the din, but this strategy is flawed.  Top-performing reps who heavily exceed their quota are “spending less time selling in the traditional sense — smiling-and-dialing and sending out mass outreach,” explained LinkedIn VP of Global Sales Solutions Alyssa Merwin Henderson.  They aren’t increasing the volume but carefully targeting their prospecting and messaging, conducting buyer research, and focusing on skill development.

“In today’s virtual world, where there’s more noise than ever, the recipe for winning is clear – fewer things done better,” concluded Henderson.

LinkedIn Head of Product and Solutions Marketing Nicole Desjardins highlighted three problems facing sales reps that LinkedIn is working to address:

  1. More virtual selling than ever, leading to more virtual noise than ever, with buyers being overwhelmed by irrelevant and generic outreach.
  2. Job switching continues to be higher than normal, making a mess of CRM data and putting deals at risk.
  3. A plethora of new sales tools have hit the market, many of which don’t integrate with each other, making it more confusing to choose the right tech stack.

Desjardins argued that the solution to these problems comes from real-time data fed into the CRM and “meaningful sales intelligence that helps you connect with and nurture the right buyers at the right time.”

The Great Reshuffle continues to create a “mess” of CRM data, resulting in inaccurate forecasts and irrelevant messaging.  According to LinkedIn’s upcoming “State of Sales” report, 41% of sales reps said their biggest problem was inaccurate, out-of-date CRM data.  To help address this issue, Sales Navigator now flags out-of-date contact and lead records and allows reps to update the CRM from Navigator to address this problem.

Sales Navigator Data Validation displays Update CRM badges and syncs updates to Leads and Contacts.

Data Validation displays an Update CRM badge on Sales Navigator member pages who have recently changed jobs, titles, or locations.  After clicking on the badge, reps are shown the new title, account, location, contact owner, and most recent opportunity.  Updates are made to matched Lead and Contact records, with the user controlling which fields are to be updated.  Reps are also shown which open opportunities are linked to the executive, allowing them to quickly remove departed execs from live opportunities.

“Clearly, this will save you time.  Instead of having to toggle back and forth between your CRM and Sales Navigator, you can do it all in our platform,” blogged Product Marketing Manager Austin Gray.  “More importantly, because updating your CRM is now easier to do, you’ll have more accurate data within it.  LinkedIn’s real-time first-party data means that you can have confidence that your CRM will have access to the most accurate and up-to-date information available.”

Data Validation is available for Sales Navigator Advanced Plus and supports record updates in Salesforce and MS Dynamics 365.  The functionality was released to customers with fewer than 15 seats this week and will be rolled out to large customers on June 22.

The New Search and Lead Page Experiences were rolled out to accounts with fewer than fifty seats last quarter.  The largest accounts will receive the updates this quarter.

The search feature has been streamlined to improve the time to “successful results.”  In addition, the search includes a “larger collapsible, intuitive grouped view of filters” that improves search filter discovery.  New and updated filters include TeamLink Connections of, Saved Leads, Saved Accounts, Previously Viewed, Current Company, Past Company, and Company Headquarter.

The search interface updates dynamically, providing results as each filter is added or removed.

The updated Sales Navigator Leads (Contact) Page

The new Lead Page (contacts) is designed for rapid lead qualification with “the most important info front and center,” including the most recent touchpoint, current role, and description.  Other features include a sticky action bar, conversation starters, and introduction paths.

The Conversation Starter section displays recent posts for comments and commonalities.

The Get Introduced section has been redesigned and expanded.

The TeamLink section is now organized by seniority level so that reps can find “their best path in.”  In addition, the section supports a pre-populated InMail to save reps time writing messages.

Sales Navigator is also adding a new Lead Panel for researching contacts in a prospecting list without having to open multiple windows.

“Prospecting in Sales Navigator often means using our powerful search to find your target buyer,” wrote Desjardins.”  Once you’ve found that list of potential buyers, we’re betting you then open a tab for each individual, which can mean a lot of open tabs and a lot of switching back and forth.  The new Lead Panel streamlines this process and keeps you on the same page the entire time.”

The new Lead Panel streamlines qualification and messaging from lead (contact) prospect lists.

The Lead Panel displays job title, job description, and conversation starters to assist with quick qualification and messaging.

The Lead Panel will be rolling out to accounts with fewer than fifty seats this quarter and enterprise accounts next quarter.

LinkedIn also added a Gong SNAP integration for viewing LinkedIn intelligence within Gong’s conversational intelligence platform.