Month: January 2021

Artesian Connect Platform (Part II)

Continuing my coverage of the new Artesian Connect platform [Part I].

Metro Bank, an early customer, deployed Connect for customer onboarding and back-book screening, complementing their Artesian Engage deployment:

“We started working with Artesian to explore ways we could introduce greater efficiency to the customer onboarding journey. We loved the idea of being able to aggregate data from a number of different sources and map our risk appetite to Artesian’s rules framework to flag issues immediately.  The result meant we could deliver a process which in some cases was 94% quicker than our existing process.”

Ronan Heeran, Financial Crime Risk & Control Manager at Metro Bank

QBE, an early insurance adopter, employed Connect for underwriting and COVID-risk checks, delivering consistent decisioning across its 200 underwriters.  According to QBE Director of Underwriting David Jones, Connect’s configurability let QBE be “proactive, rather than reactive, to changes in data for client assessment.”

Along with a rich set of news event monitoring and triggers, Artesian provides a broad set of Experian UK data, including financials, Companies House images, Gazette filings, Directors and Shareholders, Mortgages and County Court Judgements, Family Trees, and Ultimate Beneficiaries.  Artesian recently added Irish datasets from Experian.  They also offer US and Canadian profiles from a highly credible provider.

Clients can access Artesian Premium Data in Connect or opt to retain preferred vendors.  Connect also provides API connectors for Dun & Bradstreet, LexisNexis, Equifax, Refinitiv, LDC, and Graydon, with more data integrations planned.  Many financial services clients opt to feed their legacy PEP (politically exposed persons) and sanctions list vendors into Connect.

Connect supports a business rules-engine, development toolkit, and scripting engine.  Users can either work with Artesian’s technical consultants to define models or build their own decisioning and customer support tools.  Artesian employs a “3-D” solution process: Discover, Design, Demonstrate.  The 3-D process, combined with the Connect platform, allows Artesian to build complex business requirements in days or weeks, significantly faster than third-party developers.

Artesian has trademarked the term “Know-How Equation,” which describes their method of capturing “collective expertise” to “transform efficiency, efficacy, and consistency of frontline and middle office teams.” The equation is represented as

The Know-How Equation captures a company’s knowledge about its customers, business, and market in the Artesian rules-engine.  Artesian then processes structured and unstructured data to display “impactful insights and risk intelligence needed to deliver the ultimate in business acumen.”

“Artesian Connect can deliver transformational results in client acquisition, client onboarding, risk and compliance monitoring, and relationship management.  With Connect, modern frontline banking teams can rapidly merge disparate data sources, create bespoke rules for risk selection utilising rich firmographic data and, most importantly, deliver insight from unstructured data that paints a much deeper picture for client assessment.”

Artesian CEO Andrew Yates

Artesian has also updated its Engage homepage to provide a custom briefing book to clients.  Features include dynamic Connect calculations, advanced engagement signals, historical screening, and account followers.  Customers can opt for either a data-first view or a news-first view.

Like many of its peers, Artesian Solutions has thrived during the pandemic.  Their mobile push notifications have had high usage during WFH, and financial services firms have increased platform utilization due to economic dislocation and CBILS checks.  According to Yates, renewals remain strong, with gross retention in the 90s and net retention around 110%.

The firm has long been profitable, with a 9X LTV/CAC ratio (Lifetime Value to Customer Acquisition Cost).  Furthermore, customers have been integrating the Artesian platform into their workflows, with 65% of new business coming from platform-leveraged transactions.

Artesian Connect Platform

Artesian Solutions formally launched the Artesian Connect platform aimed at transforming frontline execution and effectiveness.  The platform supersedes ARCH, which was built on the same architecture as Connect.  The expanded platform now supports advanced sales engagement, customer onboarding, Insurance and credit underwriting, and relationship management.

Connect is Generally Available.

Artesian Connect includes a bespoke rules-processing engine that captures client know-how, including business rules, sales preferences, prospecting criteria, and onboarding checks.  Connect supports both Artesian’s Premium Data feeds and customer-licensed third-party data integrations. 

By combining first and third-party datasets with business rules and existing policies, the customer engagement process can be streamlined and standardized across large teams.  Some of Artesian’s customers have thousands of users, so the ability to improve efficiency without impacting the customer experience is critical to successful implementations.  

As rules and policies have been codified, employees do not need to review as much company intelligence.  Instead, decision-making is reduced to the core information.  Supported processes include sales engagement, onboarding KYC/AML, insurance policy underwriting, and business-specific steps and requirements.

Artesian Connect delivers an improved customer experience, reduced employee onboarding time, and standardized processes and rules across all team members, which is particularly important when engagement priorities and regulations change, as they did in March.

CEO Andrew Yates emphasized that Artesian’s focus is not only on data but on rules and the ability to expedite decision-making based on scores and flagged items.  A new feature, engagement signals, go beyond traditional trigger events and look at multiple recent events before offering next best action recommendations. 

Connect supports four modes:

  1. Quick Tasks such as pre-screening customers or performing a CBILS (UK SME COVID business loan) check
  2. Tracking Companies and alerting on events, opportunities, credit changes, filings, etc.  As alerts are based on company-specific rules and policies, they have greater precision than general notifications.
  3. Multi-linked Analyses that evaluate multiple recent events and determine whether a more in-depth analysis of a prospect or loan is required
  4. Other Application Calls based on customer criteria

Platform apps can be delivered via the desktop, mobile device, or a broker management system, with output such as custom proposals delivered as Word Documents or PDFs.

“Artesian Connect is pioneering a new era in modern data and insight-driven Relationship-Banking – helping commercial teams leverage their extensive know-how and by combining this with the latest advances in data science, we can empower them to do what they do best at a scale and speed never seen before,” explained Yates.

Continue to Part II. Yesterday, I covered their new Irish Dataset and expanded UK content.

Artesian Data Extensions

Sales and Risk Intelligence vendor Artesian Solutions announced three data extensions to its company and contact universe: two U.K. dataset extensions and an Irish dataset.  On January 14th, they unveiled their new Connect platform and a broader product vision.

“We’re delighted to kick off 2021 on such a high. These new premium data points are fundamental to the KYC and compliance processes for many of our customers, so it was a logical extension to the data they currently rely on to engage with their customers.“

Artesian CEO Andrew Yates

The first data extension is U.K. County Court Judgments (CCJs) and legal notices such as receiverships and winding-up petitions.  CCJs are useful for financial services onboarding, due diligence, and risk assessment.

The Adverse Director History dataset assists with KYC/AML processes and highlights whether a Director was previously associated with a firm that ended up in insolvency, administration, or bankruptcy.

Artesian already provides access to other compliance datasets such as Politically Exposed Persons (PEPs), terrorist lists, and sanctions lists.  Additional details will be released in next week’s platform announcement.

The new Artesian:Connect platform supports custom processing rules and alerting for CCJs and adverse director histories.  Data goes back as far as twenty years.

The Irish dataset provides four years of company financials, director checks, and company news.  Firmographic data includes addresses, trading status, registration numbers, and auditor information.  Company data is available through Artesian Engage, the Artesian Ready app for iOS and Android, Salesforce, and Microsoft Dynamics.  Coverage spans 250,000 companies.  

Artesian did not publicly disclose the Irish data vendor, but it is a highly credible data source.

Artesian Solutions already provides coverage of Britain, the U.S., and Canada.  Customers can license the countries in any combination, including Ireland only, U.K. + Ireland, and all four countries together.

Artesian had a successful 2020 as customers looked for remote vendor solutions for both sales and compliance/onboarding.  Usage was up sharply for both product lines.  According to Chief Customer Officer Mike Blackadder, Artesian’s “training teams have never been so busy.”

Artesian hosted a virtual summit for its Connect platform on January 14th. Coverage continues tomorrow.

NetLine Buyer-Level Intent

NetLine unveiled its new buyer-level intent solution Intent Discovery.  Intent Discovery identifies both the individual buying committee member and the buyer journey status.  Intent data is gathered from interactions with NetLine’s 12,000 gated content assets from opted-in researchers who are fully permissioned.  NetLine describes Intent Discovery as an “always-on monitor” of business research.  Research activity is “mined on a real-time basis, and intercepted once a buyer has met or exceeded each element required to define intent.”  

Once prospect activity has been qualified for both active intent and firmographic fit, Intent Discovery asks a set of customer-specific questions that further qualify intent and deliver bespoke insights about the prospect and the individual researcher.  These insights are then available to sales reps, allowing them to target their messaging to an audience of one.

All content is vendor agnostic, increasing response quality. “Sans branding, the buyer is more likely to truthfully respond.  Minus the influence of a brand, and its market perception, B2B buyers are statistically more likely to find trust in the questions and their reason for being asked,” stated NetLine.

Preliminary data from their pilot indicates a 70% increase in participant’s “ability to accelerate account’s conversion to net-new opportunities.”

“Historically, if Marketers wanted to glean true intent insights from their prospects, they had to rely on a mix of their own content initiatives and faceless display advertising campaigns focused on targeting anonymous third-party cookies.  With Intent Discovery, Marketers now have access to dramatic first-party scale beyond their own content, enabling them to accelerate the sales process.”

NetLine CEO Robert Alvin

“With this product, we’ve effectively delivered the last mile of B2B Intent: Who is actually expressing intent.  First-party sourced buyer-level intent is the Holy Grail of sales acceleration,” said Chief Strategy Officer David Fortino. “Marketers are finally able to capture in-market and intent-rich dialogue directly from their prospects on a fully-permissioned basis at scale.  Far too many vendors are delivering account-level insights and guessing at the “who” behind the behavior.  We’re not in the business of guessing; it’s time for marketing and sales to understand the who — the person instead of the persona and that’s what we’re delivering on.”

TechTarget Acquires ESG

TechTarget continues to build out its technology content set with the acquisition of Enterprise Strategy Group (ESG), “a leading provider of decision-support content based on user research and market analysis for global enterprise technology companies.”  ESG has twenty-seven researchers and analysts who cover Cloud Services & Orchestration; Converged Infrastructure; Cybersecurity; Data Platforms, Analytics & A.I.; Data Protection; Digital Workspace; Networking; and Storage.

TechTarget called ESG a “natural complement and extension” of its value prop.  It expands TechTarget’s “decision support content” and provides it with “new fact-based, research-driven content” for sales and marketing outreach “identified by purchase intent insights.”  ESG’s segment expertise and analysis support technology purchase decisioning that extends TechTarget’s value beyond its 140+ technology research websites.

ESG works with its customers to develop custom content, including technical validation, economic analyses, and bespoke end-user research that “enables the creation of highly actionable, extremely useful, interactive content deliverables and tools.” Content types include white papers, videos, infographics, dynamic content (HTML 5), online event support, and social media support.

Clients commonly use ESG content to support product launches, competitive positioning, channel enablement, and ABM-focused outreach.  Thus, TechTarget’s websites identify who is currently in-market for specific solution types, and ESG’s custom content delivers mid-funnel tools to assist with messaging across the demand unit.

“ESG delivers highly relevant, purchase cycle-focused content specifically built to support buying and selling. As such it helps fill critical gaps that have long increased costs and cycle times on both sides of the process.  Adding depth to and building on TechTarget’s existing strengths in content, process support, and data creates clear, easily accessed value for both clients and end-users.”

ESG Founder Steve Duplessie

The ESG acquisition is TechTarget’s third over the past year.  In December, TechTarget closed on its $150 million BrightTALK purchase that provided it with event marketing and event-related intent signals.  In March, TechTarget tucked in Data Science Central, a digital publisher that focuses on data science and business analytics.

“We’re super excited about the value ESG provides to our clients and our members,” said Michael Cotoia, Chief Executive Officer, TechTarget. “Together, we can provide enterprise technology buyers much richer information support across their buyer’s journeys.  For our clients, adding ESG to the unmatched intent data and services we’ve long-provided means we can further increase their productivity gains and business yields end-to-end across go-to-markets.”

The acquisition price was not disclosed.  Both firms operate in the Boston suburbs. The BrightTALK acquisition closed on December 23rd.

HG Insights Equity Round

Technology Intelligence vendor HG Insights closed on an equity round with Riverwood Capital.  Neither the size nor the valuation was disclosed.  

HG Insights employs natural language processing and machine learning to develop account intelligence concerning technology installations, IT budgets, and contract information for eleven million global companies across 14,000 products.

“Our customers have come to rely on HG Insights as an indispensable input into their most strategic decisions such as market sizing, whitespace analysis, and territory planning as well as for fundamental activities including opportunity prioritization and account-based marketing intelligence.  Our rapid growth over the last two years is fueled by the depth and breadth of benefits we provide to B2B technology companies, globally. Riverwood’s investment is a vote of confidence in our future.  It gives us flexibility and access to resources to help accelerate our growth and capitalize on the exciting opportunity before us.”

HG Insights CEO Elizabeth Cholawsky

Riverwood is a Technology-focused growth-equity firm with $3.5 billion in assets under management.  Riverwood says that it offers “a unique combination of operational, strategic, technological, and financial insight to portfolio companies that need both growth capital and expertise in order to scale.”

Riverwood Capital Managing Partner Jeff Parks said, “HG Insights represents a golden opportunity for Riverwood to continue to use our capital and expertise to accelerate the growth of innovative technology companies addressing demonstrated but unmet market needs.  Elizabeth and her team have built an organization poised to disrupt the traditional go-to-market process for companies of virtually any size, and we’re very excited about the potential of this partnership.”

HG Insights just closed on a successful year, reaching its highest annual recurring revenue and profitability.  Employment rose 30% last year, and revenue grew over 35%.  While HG Insights continues to license its firmographics to other vendors, its growth has been focused on direct sales of technographics and analytics to customers.

“Customers continue to reaffirm that HG Insights’ data’s breadth, depth, and coverage accuracy has become an indispensable asset for critical decision making at every level of a technology company,” commented Riverwood Principal Ramesh Venugopal. “HG Insights provides unique, data-driven knowledge giving decision-makers confidence that they are making the right choices.” Jeff Parks and Ramesh Venugopal have joined HG Insight’s Board of Directors

HG Insights Product Line — Missing is the just announced HG Market Intelligence service that provides “actionable market intelligence for every phase of your go-to-market.”

Revenue Grid Guided Selling (Part III)

Continued from Part II (or start at the beginning)…

Because Revenue Grid has a long history as an integration platform, it supports both cloud and on-premise implementations.  Financial Services firms, which have higher data protection requirements and have been slower to adopt cloud platforms, make up roughly 30% of its turnover.

The Revenue Grid service is available for $75 per user per month.  The firm offers volume and multi-year discounts.  The service was previously sold as three modules: Revenue Engage (Sales Engagement), Revenue Inbox (CRM synchronization), and Revenue Guide (Guided Selling), but Revenue Grid now bundles the three services into a unified Guides Selling platform.

Aragon Research, which focuses on Sales Enablement, labeled Revenue Grid one of its 2020 hot vendors in May:

“What makes Revenue Grid hot is the platform’s focus on revenue intelligence and leveraging statistical and AI insights to drive the consistency of each stage of the sales pipeline and its efficiency.  The platform has guided selling features that can suggest the next best step to a sales rep and alert the team to a misstep or a missed action. It also has sales coaching and team analytics to track individual performance.”

Jim Lundy, Aragon Research Lead Analyst, “Hot Vendors in Sales Enablement, 2020”

Aragon recommended Revenue Grid for enterprises looking for a “sales enablement platform with comprehensive, built-in AI functionality.”

Founded in 2005 as InvisibleCRM, the firm rebranded in 2020 to capture its broader product portfolio for sales teams, focusing on “customer engagement and actionable revenue intelligence.”

Revenue Grid is based in Mountain View, California, with offices in Atlanta, Washington, and Delaware. It’s engineering team and EMEA headquarters are located in Kyiv.

Revenue Grid has an eight-digit ARR and 65% year-over-year growth.  Customers include BASF, Volvo, Honeywell, Lufthansa, and Union Pacific.  It is self-funded, having received only a $1.5 million Series A in 2006.

Revenue Grid Guided Selling (Part II)

Continuing from Part I, a discussion of Revenue Grid and its approach to Guided Selling.

Revenue Grid looks to take the CRM system of record and supplement it with insights and actions that move deals forward.  Insights are both positive and negative.  Risk flags include “The decision-maker is not invited to the demo,” “Close data has been changed for the Nth time,” and “Pricing was discussed at the meeting, but no quote has been sent.” By delivering insights to sales reps and their managers, loose ends, which could result in deal losses or delays, are flagged.  Sales reps and managers can then act upon these insights.  Revenue Grid can also make suggestions based upon internal playbooks and best practices.

In short, AI, historical data, and real-time data are employed to build a set of insights and recommended actions.

Revenue Grid goes beyond engagement metrics at accounts. It delivers a broad set of insights that include competitor mentions, lack of recent decision-makers responses, meetings without agendas, quarterly and monthly trends, and team performance.  In January, sentiment analysis will be added to their insights.

An Opportunities view provides real-time pipeline visibility across all accounts.  Reps can quickly update any opportunity information with the updates synced with the CRM.  Sales reps and managers then have a single-pane of glass displaying current opportunities.  Managers are notified of deal size changes, close dates, and scores and can track activity flow.

The Opportunities view includes signals, next steps, last touch, and overview data, providing a quick synopsis of where each deal stands.

Conversational Intelligence records and transcribes voice and video calls, then indexes and analyzes meetings for insights.  Corporate email communications are also analyzed for insights.  Revenue teams and managers can review call transcripts and listen or view significant moments during the call, with summary topics and insights called out.  Conversational Intelligence is also available for coaching and onboarding sales reps.

Conversational Intelligence recordings and transcripts are saved to accounts and opportunities.

A meeting scheduler fronts Conversational Intelligence.  Reps can insert multiple time slots with clickable times in their emails or offer a calendaring link.  Events are automatically synced between Salesforce and Outlook or Gmail.  Other features include calendar delegation (i.e., setting up an admin or CSR to schedule meetings), recurring event scheduling, and group calendaring across the organization.

Salesforce email synching captures emails, scheduled meetings, contacts, tasks, and attachments.  Accounts, Contacts, Opportunities, and Custom Objects are available for syncing, and multiple records may be updated.  Salesforce admins can set up activity auto-log rules, triggering Salesforce processes.

Sales Coaching offers a team performance view that displays revenue booked by reps alongside leads processed and time spent on external meetings, inbound external meetings, and outbound emails.

A Forecasting report evaluates the target, best case, and committed revenue for the team with plan, commit, and open pipeline values for each rep.  Managers can also compare past periods to find trends and set triggers to send notifications when thresholds are exceeded.

An Activity view displays inbound and outbound communications from sales and marketing over time with adjustable time windows.  Unfortunately, the activity graph does not rescale, making it difficult to view activity over an extended period.

Revenue Grid also supports Relationship Intelligence, showing an Account relationship map and flagging individuals in the organization with established relationships for introductions or briefings.

Revenue Grid’s sales engagement features include multi-channel sequences, email templates, and email tracking.  Channels include email, phone, SMS, and LinkedIn.  Sequences may be managed directly from within Salesforce, Outlook, or Gmail.  All Revenue Grid capabilities are available in the native Salesforce mobile app, including email analytics, notifications, and sequences.

Admins can perform A/B testing of sequences.

Revenue Grid detects replies from one or multiple recipients, out of office notices, opt-outs, and bounces.  It then pauses or halts sequences automatically.  It even halts sequences if the recipient is mentioned in an email or meeting invitation.

An email sidebar displays Salesforce data directly within inboxes and suggests relevant, actionable Signals.

Continue to Part III.

Revenue Grid Guided Selling

Revenue Grid which describes itself as a Guided Selling vendor, offers a hybrid platform with sales engagement, revenue intelligence, relationship intelligence, meeting management, and conversation intelligence.  Unlike many startups in these spaces, Revenue Grid comes to market with fifteen years of experience building native platform integrations behind the firewall and in the cloud.  It then layers on top reports, analytics, and an Outlook/Gmail/LinkedIn sidebar for identifying opportunities at risk, next steps and missed actions, engagement scores, and pipeline analytics.

“Algorithmic guided selling leverages emerging AI technology and existing sales data to guide sellers through deals, automating manual sales actions while reducing the need for individual seller judgment in the sales process,” wrote Gartner.  Guided Selling is data and process-driven, with Next Best Action recommendations that make CRMs actionable.

Guided Selling intelligence is gathered from CRMs, emails, calendars, phone calls, and videos.  Engagement is measured across these channels and delivered as a set of insights and revenue signals that support Guided Selling.  Signals are Next Best Actions based upon AI recommendations and sales playbooks.  

Revenue Grid describes signals as “contextual, actionable notifications that tell your whole sales org what is going well or poorly throughout your whole sales process.”  Sales reps can act on recommendations by merely clicking on the signal.

These definitions can all get confusing, but the vision becomes clearer when skipping past the inputs and technology and merely considering which sales and management questions Revenue Grid looks to address.  Revenue Grid answers a host of sales rep questions, including

  • Which deals should I focus on today?
  • How likely am I to close the deal this month or quarter?
  • How can I improve my odds of winning this opportunity?
  • Which deals are at risk and why?  
  • Did I complete all of the post-deal activities discussed on the call?
  • Have I updated all my opportunities before tomorrow’s deal review?
  • How can I prepare for a meeting?
  • Does anybody at my firm have a relationship with key decision-makers?
  • How is engagement across the account?  Am I building relationships with the key stakeholders?

Likewise, managers can answer questions such as

  • Are sales reps focused on the right things?
  • Do sales reps know what to do next?
  • How can I guide reps in each deal?
  • Which deals are moving, stalled, or at risk?
  • Do my reps know what to say at meetings? Do our scripts work?
  • How do I know my coaching is effective?
  • Which committed deals are unlikely to close?
  • How do I improve our forecasts?

Part II discusses Revenue Grid’s feature set.

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.