Tag: Lead Scoring

Demandbase Smarter Sales Intelligence

Demandbase Smarter Sales Intelligence brings together first and third-party intelligence.

ABX Platform Demandbase announced a Smarter Sales Intelligence solution that combines Demandbase Sales Intelligence with additional tools, data, and prescriptive insights.  UX enhancements include prescriptive dashboards with personalized account and contact recommendations.

The firm had a little fun with its press release, publishing a semi-tongue twister headline, “Demandbase Saves Stressed Sellers by Simplifying Sales with Smarter Sales Intelligence.”  But wait!  There’s More!  Demandbase also released a 90-second infomercial touting their Sales Intelligence solution that “consolidates sales intelligence tools in both first and third-party data, and all in one place.  It’s like having a superpower for smarter selling!  Get easy access to insights, best-in-class predictive models, and contact recommendations integrated within your existing tools.”

Many of the UX changes were based on customer feedback, with the critical account information at the top.  Content includes the journey stage, top intent keywords, people, predictive scores, and firmographics.

“The idea is that we’re bringing all the information that sellers care about and then presenting it on one screen so that they don’t have to go places to find it,” explained Demandbase Senior Product Marketing Manager Travis Breier to GZ Consulting.  “It’s a unification of the data.”

Sellers “don’t enjoy the research aspect” of account-based selling, continued Breier.  “They just want to be doing outreach.”  Therefore, Demandbase is “meeting the sales reps “wherever there’s spending time, whether that is their browser, CRM, or SEP.”

The Prescriptive Sales Dashboard provides a “unified and prioritized view of a seller’s territory/account list.”

Prescriptive Sales Dashboards proactively inform sellers where they should direct their attention, when they should reach out, and what they should say.  Both accounts and contacts are recommended, with suggestions specific to each rep’s territory.  The Dashboard calls out the top accounts and contacts for outreach based on activity and intent; that is, which leads have the highest probability of converting into opportunities.

The Sales Dashboard offers multiple filters, identifying accounts that:

  • “I should reach out this week.”
  • “have been in the news recently.”
  • “are most engaged.”
  • “have the highest intent.”
  • “have a high likelihood to become an opportunity.”

And contacts that

  • “I should reach out this week.”
  • “Are not in my CRM.”
  • “Are part of the buying group and from Top Accounts.”
  • “Are former buyers.”
  • “Are trending on my website.”

High engagement lists are likely to be compelling for reps.  In many cases, they will be aware of the engagement as they are directly involved.  Still, there will also be situations where they are unaware of the engagement (e.g., Customer Success set up a trial at the account or individuals attended a webinar or responded to a marketing campaign) and missing an opportunity for outreach.

Recommendations are not black-boxed but include engagement data and known contacts in the buying group.  If a rep disagrees with a recommendation, a feedback button helps train the model.

“One of the biggest risks when you’re trying to get adoption from the sales persona on something like this, is losing their trust,” explained Breier.  “We want to give some context and qualify the recommendation that we’re making.”

Demandbase also identifies and recommends contacts for outreach, even if they aren’t currently in the CRM.  Along with names and titles, Demandbase feeds emails, mobile phones, technographics, intent signals, and persona-based messaging.  New fields include Demandbase’s predictive scores:

  • Pipeline Predict Score: How likely an account will become a pipeline opportunity.
  • Qualification Score: Likelihood an account will ever become a customer, regardless of where it is in the buyer journey.

Demandbase continues to build out its data coverage, with 83 million companies, 147 million contacts, 87 million emails, and 40 million direct dials. Much of its third-party content was integrated after they acquired InsideView and DemandMatrix two years ago.

Account Insights displayed within the Outreach Demandbase tab (new UX).
People Insights displayed within the Outreach Demandbase tab (new UX).

Furthermore, Demandbase simplified its user interface to display the most important information about prospects and customers.

Yesterday, I wrote about Demandbase’s new Outreach connector which integrates Demandbase’s Sales Intelligence product within the Outreach Sales Engagement Platform.

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.

Clearbit Data Activation Platform

Clearbit Audience Manager

Clearbit announced the general availability of its Data Activation Platform.  The new service helps B2B marketing teams “focus on creating demand, capturing intent, and optimizing their pipeline.”

The Data Activation Platform addresses the “business imperative for companies to have real-time intelligence about their target market, ideal customers, and engaged prospects.”  It then applies this intelligence across all stages of the customer’s journey.

The Data Activation Platform offers Clearbit customers a user interface for many of the features that were previously only supported as APIs.

“Data activation is specifically around the next step of how we’re helping companies put data to work,” explained CRO Kevin Tate to GZ Consulting.  “We started with the data.  How do you collect data and make it available so that companies can be smart as they engage your customers in the market?  And then, over the last three years, four years, what we’ve gotten to see is how these very fast-growing companies and their growth engineering teams and go-to-market teams have put our data to work in all these different customer touchpoints.  Until this Data Activation Platform, the way they put that data to work was through APIs and integrations that they stitch together.”

Clearbit observed how its data was used for website personalization, advertising campaigns (Google, Facebook, Instagram, and YouTube), webforms, lead scoring, routing, etc.  Clearbit then identified several customer needs: a user interface for “putting the data to work,” audience segmentation and activation, audience expansion (similar accounts or contacts by persona), data enrichment, and Reveal visitor intelligence.

“We’ve been fortunate to work with many of the most innovative B2B growth teams in the world, and they’ve taught us that it’s not just about having good data.  It’s about activating that data to improve your funnel from top to bottom,” said Ross Moser, CEO of Clearbit.  “The ability to apply real-time intelligence to each step of the customer journey – and optimize experiences in real-time – is what’s driving success for Clearbit’s customers.”

Clearbit company and visitor intelligence

The Data Activation Platform leverages Clearbit’s heritage as a data company.  Its database spans 44 million companies with over 100 firmographic and demographic attributes.  Clearbit also maintains data on 350 million contacts.  Marketers can target audiences, enrich their CRMs and MAPs, and personalize their website and customer experience apps.  Capabilities include

  • Clearbit Reveal visitor intelligence for tying anonymous users to firms and detecting website visitor intent
  • Ideal Customer Profiling and best-fit prospect recommendations
  • Audience management and segmentation based on data ingested from a company’s CRM, MAP, or CDP.  Alerts may be triggered to activate audiences across systems.
  • Real-time enrichment for short webforms.
  • Real-time integrations and APIs

Audiences can be targeted in multiple ways.  For example, marketers can deploy audiences on Facebook and Google:

  • Prospect Audiences target employees across the complete ICP, including account expansion to new prospects outside the CRM.  Targeting may be filtered by role and seniority, providing persona-level targeting across the ICP.
  • Contact Audiences that sync all matches to a contacts audience for retargeting on Facebook and Google
  • Site Visitor Audiences that retarget web visitors when they match on Facebook and Google.

Data syncing includes “Audience inclusion attributes” or “smart attributes” that are calculated, such as a Boolean ICP or current customer flags that can be pushed downstream to Salesforce and other platforms.  The refreshed value is automatically pushed to downstream systems if the calculation is modified.  Smart attributes are updated every fifteen minutes.

Clearbit partners include Salesforce, HubSpot, Marketo, Pardot, Segment, Drift, Intercom, Chili Piper, Slack, Zapier, Qualified, and Clari.  Personalization partners that leverage Clearbit Reveal include Uberflip, Optimizely, and Mutiny.

Clearbit is coming off a “big, big growth year” but does not disclose any sizing or growth details.  LinkedIn lists it with 177 employees, up 90% over the past year.  Business Development and Sales grew at a 150% pace. While Clearbit originally targeted B2B Internet service companies, it is gaining traction in financial services, retail services, and investments, businesses that are “looking for data, to power their intelligence, their go-to-market motions,” said Tate.

Openprise $16M Series A

RevOps Automation Platform Openprise closed on an oversubscribed Series A last month.  The $16 million round was led by SIG Asia Investment, an affiliate of the Susquehanna International Group, with new investments from Banyan Pacific and Citta Capital.  Existing investors Alumni Venture Group and AI List also participated.

Funding will accelerate development on the Openprise RevOps Automation Platform and scale up the sales and marketing teams.

Openprise supports data management, enrichment, and hygiene across sales, marketing, customer success, BI, and analytics platforms.  Features include data deduplication, data onboarding, lead-to-account matching, lead routing, attribution, and account scoring.

Openprise RevOps automation capabilities.

Openprise cited a recent Gartner forecast that 75% of high-growth companies will deploy a RevOps model by 2025.  “A move from sales enablement to revenue enablement is needed in today’s rapidly shifting buying and selling dynamic to support this RevOps imperative.”

“Openprise is uniquely positioned to capitalize on the momentum in companies moving to a RevOps model,” stated Anne Marie McCallion, its PR rep.

“When companies move to a RevOps model in order to better align marketing and sales, they soon identify huge gaps in their joint processes and data that aren’t addressed by traditional marketing and sales automation solutions like Marketo, Salesforce, and Salesloft,” said Openprise CEO Ed King.  “Openprise is fueling the RevOps revolution by providing a single, no-code platform that can automate hundreds of RevOps processes and deliver go-to-market-ready data for the entire RevTech stack.”

Openprise customers include UI Path, Vimeo, Zendesk, Okta, Nutanix, Freshworks, Splunk, and Zscaler.

Openprise will face stiffer competition from RingLead, which was acquired by ZoomInfo in September.

Drift Sales Seat

Drift Sales Seat can activate SEP sequences in Outreach.

Revenue Acceleration vendor Drift announced a pair of new services last week. I covered Fastlane, its new webforms/chatbot hybrid service yesterday. Today I’ll be discussing Sales Seat, Drift’s entry into SalesTech.

Sales Seat alerts reps when intent and engagement signals have exhibited buying activity.  Drift monitors the website, SEPs, MAPs, and CRMs for buying intent.  Sales Seat is Drift’s first sales product and helps reps with timing, messaging, and discovering the buying committee.  Sales professionals can reach out with personalized messages via chat, email, or video, based on intent and engagement.

Sales Seat is integrated with Outreach, letting reps create sequences from the service.

A mobile app notifies reps, supports conversations, and lets reps record and send Drift videos.

A Chrome extension displays all conversations happening in Drift, monitor engagement (e.g. email opens and clickthroughs, page visits), and drop calendar information in Gmails. Reps can optionally bcc Gmails to their CRM for tracking.

Drift Profile Page

The Drift Profile acts as an online business card with a link that can be dropped into emails and social media messages. Recipients can chat with the rep or book a meeting. The profile contains the rep’s title, location, a short bio, headshot, phone, and social links. The chat supports default messages to display when the rep is available and when not.

“Sales success is all about engaging today’s buyers on their terms: Digitally and immediately when they express interest,” said Drift Chief Product Officer Leo Teneblat.  “With Fastlane and Sales Seat, Drift customers can ensure their best buyers and highest intent visitors receive express treatment without overloading the sales team. Not only that, but sellers have context to engage buyers with a personalized experience on the exact topics they care about in the moment they’re expressing interest.”

“Here’s How to 6x Your Chance of Booking a Meeting,” Gauri Iyengar, Drift Blog (April 13, 2021).

According to Drift, reps are six-fold more likely to book a meeting if they engage with a buyer during the first hour.  Thus, immediately transitioning webform submissions into chats and notifying reps that high-scoring prospects are engaging with the company dramatically increases the likelihood of converting a lead into a meeting.

Sales Engagement vendor XANT has found similar numbers from rapid response times while noting that companies are slow in delivering and prioritizing inbound leads.

“Not all accounts are created equal. Your target accounts should receive the most personalized and high-touch buying experiences. Account-based marketing lets you create this experience while engaging with VIP buyers and connecting them to sales. By cutting through the noise, you can close more deals – faster,” blogged Drift Product Education Marketer Gauri Iyengar.  “When it comes to booking meetings, there is literally no time to waste. Speed is essential to not just set up a meeting but to turn that meeting into revenue.”

The pair of services was released to early adopters that enjoyed an 82% increase in meetings booked, a 77% jump in opportunities created, and a 67% rise in pipeline influenced.

SalesLoft Deal Engagement Scores

Sales Engagement vendor SalesLoft announced Deal Engagement scores, a “machine-learning capability [that] gives frontline managers an unbiased way to prioritize deals based on the calculation of over 30 data elements captured across Cadence, Conversations, and Deals.”

Instead of a black-boxed score, SalesLoft provides recommendations and an explanation of the score, helping sales managers identify opportunity issues and risks and take actions to improve close rates.  Thus, Deal Engagement Scores serve as early warning signs that deals may be going south, allowing them to take proactive actions that improve close rates.

Deal Engagement Scores are shown over time and include a set of stage progression indicators such as days since the last meeting, days until the next meeting, and close date pushes.  A seven-day summary details recent engagement activity and deal progression.

“It’s not enough to have just a Cadence product,” said Frank Dale, SalesLoft’s SVP of Product Development. “With Cadence, Conversations, and Deals on one platform, we collect data across the full buying cycle, from the first email, every call, meeting, and communication, through to deal closure and renewal.  Only SalesLoft can analyze all of this data to predict revenue outcomes.  No other Sales Engagement provider can offer this.”

SalesLoft published the 35 metrics that feed into their Deal Engagement Scores.

35 data elements are fed into their machine-learning model to prioritize and identify opportunity issues and risks. Engagement is measured across emails, phone calls, and meetings, with interactions measured by level.  Over 120 million customer interactions were fed into the machine-learning model. As a machine-learning capability, the model continues to improve and adapt. 

“Having this capability allows front-line sales managers an instant gut check on specific health for deals in flight,” posted CEO Kyle Porter on LinkedIn.

Deal Engagement Scores are available to early access customers with Deals functionality in the Enterprise and Sell plans.  It will GA by June.

SalesLoft Doubles ARR and Lands a Unicorn Round

Sales Engagement Platform vendor SalesLoft became the latest SalesTech unicorn, following a $100 million equity investment led by Owl Rock Capital. Insight Partners, HarbourVest, and Emergence also joined the round.  The Series E funding raised SalesLoft’s valuation to $1.1 billion, nearly doubling its April 2019 Series D valuation of $600 million.

The funds will be dedicated towards “transforming the sales industry and helping the world’s companies sell more successfully.” SalesLoft will invest in “new vertical markets, AI / ML-driven insights and product innovation, and further international expansion.”

SalesLoft had a successful 2020, setting up the firm for the valuation raise.  While they were doing well before the pandemic, it provided a “tailwind” that accelerated the need for Sales Engagement solutions.

“The effects of Covid have been a tailwind due to the effects of digital selling,” Porter told TechCrunch. “All sellers immediately became remote. But now the genie is out of the bottle and not going back in. It’s meant that inside sales are now all sales. Whether the opportunities are mid-funnel or upgrades or renewals, we are establishing ourselves as the engagement platform of record because it’s all becoming digital and all sellers are finding more success.”

SalesLoft, which had focused on the mid-market, is enjoying significant success selling to enterprise clients, including Google, LinkedIn (also a strategic partner), Cisco, Dell and IBM. Other clients include Cargill, 3M, and Standard & Poor’s.

Last year, SalesLoft doubled recurring revenue and expanded the breadth of its offering.  When SalesLoft went fully work from home last year, it forced them to rely more fully on their platform. “It was an opportunity to immerse ourselves in our own best practices,” blogged Porter. “And since then, our sales cycles have shortened by 40% and we’ve exceeded our growth plans. Many of our customers are experiencing similar results.”

SalesLoft was also named a leader in Sales Engagement in “The Forrester Wave™: Sales Engagement, Q3 2020.”

“Our goal is and always will be to help our customers win.  This year has accelerated the need for revenue teams across all industries to transform through a digital selling strategy. SalesLoft is a crucial technology for sales teams to perform at their highest potential.”

SalesLoft CEO Kyle Porter

SalesLoft claims to be the only SEP supporting “the three most critical products in digital selling – Cadence for managing customer communications, Conversations for recording calls and meetings, and Deals for managing opportunities.”  SalesLoft helps customers build pipeline, manage active deals, and engage customers across the buyers’ journey.

In 2020, SalesLoft released 140 new features, including 25 additional reports and dashboards.  In December, they added “Coach to Close” functionality and integrated support for Microsoft Dynamics 365.

SalesLoft gave a sneak peek at their 2021 roadmap in December, unveiling two new features: Deal Engagement Scores and Pre-Built Cadence Frameworks.

Deal Engagements Scores employ machine learning to calculate “deal health based on 30+ factors including activity and deal progression data.” They will assist with prioritizing deals in need of attention and improve forecast accuracy “by identifying mismatches between forecast category and deal score.

Pre-built Cadence Frameworks will improve SalesLoft’s time to value by providing a set of templates and cadences across the full lifecycle and various roles (e.g., SDR, AE, CSM).  Inbound frameworks are also supported.  Cadences include a preview with a visual display of the cadence, description, objective, function, and implementation complexity level.  Pre-built cadences offer best practices from SalesLoft and SalesLoft’s partners.

SalesLoft’s product vision is focused on performance across both efficiency and effectiveness and looks to answer three questions:

  1. What is our performance versus plan?  Forecasting for revenue execs
  2. Why are we above or below plan?  Outcome-driven reporting for frontline managers
  3. How can we improve and take action?  Coaching, Workflow, and an AI/ML Recommendation Engine for sellers and frontline managers.

“We know which sales activities lead to the best revenue outcomes,” stated Porter. “Our data science team is bringing insights and best practices into the platform to tee up next best actions and benefit our customers.”

Forecasting and outcome-driven reporting are part of the SalesLoft vision.  Coaching and the Recommendation Engine are areas of continuing development.  SalesLoft is already delivering an “integrated, efficient workflow.”

SalesLoft is moving to quarterly releases.  The next release pack is scheduled for March 15, 2021.

BuzzBoard Graph of 100M Global SMBs

Sales and Marketing Intelligence vendor BuzzBoard has built a graph of global SMB organizations spanning 100 million companies, 20 million in the US.  The seven-year-old firm supports advanced segmentation and prospecting based upon a deep set of technographic and digital marketing variables.  During the pandemic, they added COVID prospecting and recommendation tools to help customers target segments and personas that are doing well during the recession.

It is their focus on SMBs and their digital signals that they describe as their competitive advantage. “Anyone who sells to SMBs should have deep knowledge of the prospect’s digital footprint, their needs, attitudes, triggers, and ability to pay.  These are reflected in the SMB’s operations stack and in their external presence.”

BuzzBoard assigns a Buzz Score to each of the companies in its database.  The Buzz Score is a digital marketing score that grades a company’s digital presence based on a 0 to 100 scale.  Users may drill into the score to see the underlying components.  Thus, a web design company can determine whether a prospect has multi-screen compatibility.  Initially, an estimated score is provided, which is +/- 10 points of the probable score.  When adding a profile, BuzzBoard automatically regenerates the Buzz Score and digital profile, though the process takes 60 to 90 seconds.

Prospecting variables include firmographics, technographics, website, SEO, advertising, social, estimated spend, etc.  A new set of COVID-19 risk filters let users select companies based on location, industry, operational status, ongoing Google Ad spend, and recent technology investments.  For example, restaurants may be filtered operationally by Temporarily Closed, Dine-in, Delivery, and Take-out.

On the user home page, they added two recommendation cards.  The “COVID-19 – Categories to work on now!” card highlights verticals that are growing and “need marketing support during the COVID-19 pandemic.”

The “COVID-19 – Recommendations” card contains personas and segments defined by BuzzBoard’s data scientists “based on target locations that need marketing support during the COVID-19 pandemic.”

The homepage consists of a customizable set of cards for training videos, COVID recommendations, Knowledge Base, Favorite Signals, etc.

The fixed search bar at the top of each screen lets users search by location combined with business name, URL, category, or keywords.  A left-handed filter bar lets users revise the prospecting list.  For example, a user can quickly search for roofers within 40 miles of Los Angeles with websites and Google ad spend, but a poor mobile experience (e.g. slow loading, not responsive).  Lists are displayed via a card-view or plotted map.  List parameters may be saved for future re-use.

Prospects may be added as profiles.  When added, BuzzBoard goes out and re-evaluates the Buzz Score based upon its current digital footprint.  Profiles contain a summary view along with tabs for Detailed view, Competition, Category Insights, and Recommendations.

Beyond prospecting lists, users may also quickly research a company from a BuzzBoard Connect Chrome extension or via a file upload.  When visiting a web page in Chrome, users click on the BuzzBoard icon in the right corner of the Chrome bar, and BuzzBoard opens a window with company details including firmographics, Buzz Score, Website and SEO details, technographics, social media, competition, communications, and recommendations.

Up to 300 records may be uploaded at a time.  The file must contain either name and URL or name and address for matching.

Part II continues tomorrow with a discussion of their Competition, Category, and Recommendation tabs.

Terminus Engagement Hub

ABM Platform vendor Terminus announced the immediate availability of the Terminus Engagement Hub, which applies data and attribution for advertising, email, web, and chat.  The hub includes integration of RambleChat, its newly acquired account-based chat service.  Other new capabilities include Trended ABM Scorecards and new target account list building rules.

Terminus’ Chat from Anywhere functionality allows sales and marketing to embed chat links in email, LinkedIn, Twitter, digital ads, QR codes, proposals, and other outbound communications and media.  Chat from Anywhere moves beyond the company website and enables it contextually through a broad set of communications channels.  Thus, chats are attached to the proper account, routed to the account owner, and attributed to the campaigns and actions which drove the engagement.

Chat from Anywhere is also integrated into SalesLoft and Salesforce, with employees responding via web browsers or mobile apps.  Chat-based Leads are mapped to Salesforce.  If the lead is not in Salesforce, then a new contact or lead is created by Terminus Chat.

The enhanced ABM Scorecards “help identify success across market segments over time, prove value, track win rates, and compare performance to prior periods.”

Terminus expanded its ABM Dashboards and custom views, including views of Engaged Accounts, ABM Win Rate, Opportunities Created, Revenue by Industry, and Pipeline by Program.

New Data Studio features include account filters ”based on advertising performance and engagement metrics for next best actions.”   

New list building functionality “enables users to import and connect Salesforce Account IDs and push lists across engagement channels while also connecting those audiences to powerful measurement and attribution analytics.”

“We’ve taken our powerful data and attribution capabilities in Terminus and separated it into two parts – Data Studio and Measurement Studio. We’ve also integrated new marketing channels to help marketers create experiences for their prospects and customers.  Advertising Experiences, Email Experiences, Web Experiences, and Chat Experiences are all now available in one place; all in the Terminus Engagement Hub. It’s never been easier to run coordinated, multi-channel marketing campaigns.”

Terminus Chief Product Officer Bryan Wade

“ABM is more than a marketing strategy, it’s a business strategy.  And it’s more important than ever,” continued Wade.  “Marketers are challenged to nurture an existing customer base while still driving quality top-of-funnel activity, all in a digital world.  Now with the Terminus Engagement Hub, our customers can own every point of engagement with target audiences and track all activity at the account-level in a single platform.  Full-funnel ABM is now easier than ever.”

Openprise Agile CDP

B2B data hygiene vendor Openprise announced the availability of Openprise Agile CDP, the “first and only B2B Customer Data Platform (CDP) built on a data orchestration platform.”  As a data orchestration platform, Openprise offers a single customer view combined with no-code business rules, third-party data, and business process automation.

Openprise emphasizes the advantage of being a data orchestration platform with a B2B CDP.  “Because it’s built on the Openprise Data Orchestration Platform, Openprise Agile CDP includes all the capabilities Openprise has developed over the years to improve data quality in tools like Salesforce and Marketo—including lead routing, account scoring, and attribution—advanced features not typically found in traditional CDPs.”

Openprise supports data unification, data enrichment, normalization, deduplication, lead-to-account matching, and lead-to-contact conversion.  Analytical tools include advanced segmentation, lead and account scoring, ABM activity analysis, campaign attribution, lead routing, and account assignment.

“One of the biggest challenges marketers face is making sure their systems of record deliver accurate, high-quality data to drive marketing initiatives.   A CDP solution that automates all the critical business processes required to make the data work gives marketers high confidence in the accuracy and quality of the data they manage.”

Julian Archer, VP, Principal Analyst in the Marketing Operations Research Service at SiriusDecisions

Openprise claims it can be up and running within ninety-days, much faster than its competitors.  Firms can build custom apps with automated business processes, package them as an API, and create web-based UIs and Chrome extensions for end-users.  Openprise no-code app use cases include advanced segmentation, attribution, upsell, and cross-sell.

The Openprise data marketplace supports data enrichment from leading B2B and B2C vendors, including Zoominfo, Dun & Bradstreet, InsideView, Sales Genie (Infogroup), Cognism, Bombora, KickFire, Synthio, Oceanos (TechTarget), Acxiom, Bing, and Google Places.  Once enriched, data is normalized based upon customer-defined and Openprise taxonomic rules.  Normalization ensures that key values such as addresses, industry codes, job functions, and job levels follow a standard set of rules and taxonomic codes.