Sales Enablement vendor Showpad announced PitchAI, its response to the problem of overloaded managers that lack the time to consistently provide timely feedback and coaching around sales pitches.
“Delivering the perfect sales pitch is one of the most challenging sales skills to master—both for inside and field sellers. A sales pitch must be confident, impactful, and quick,” stated the firm. “It should grab a buyer’s attention, capture trust, and leave a curiosity gap. A great pitch doesn’t happen by accident—it takes practice, preparation, and feedback. Yet, sales managers and enablement teams aren’t always able to provide the thoughtful and attentive evaluations and feedback reps need to develop their pitch.”
According to a 2018 Gartner Leadership survey, only 42% of sales managers feel equipped to develop their staff. Furthermore, “sellers feel the shortcomings of managers as well. Just 38% of sellers report their manager helps them develop the skills they need for their role today, while only 34% report their manager helps them develop the skills they need for the future.”
PitchAI employs AI to record and analyze sales pitches, providing consistent, on-demand coaching. Feedback is instant, allowing the rep to iterate, refine, and build confidence.
Furthermore, PitchAI analyzes the seller’s “credibility, sincerity, and knowledge through non-verbal communication” and coaches reps on improving their messaging and presentation. Each pitch is benchmarked against top sellers across the industry “to provide context to PitchAI’s rating and performance scores.”
PitchAI evaluates reps across four dimensions:
Speed: How fast or slow the pitch delivery is and whether it’s understandable.
Body language: How trustworthy, friendly, and approachable the seller appears.
Silences: How and when to add or remove pauses.
Happiness: How enthusiastic the pitch comes across overall.
Tips are industry and language-specific. Showpad noted that “long silences make for a bad pitch in German, but a good one in Portuguese.”
PitchAI banner messaging includes advice on what adjustments to make.
Sales Execution Platform Outreach and Revenue Consultancy Corporate Visions announced a partnership to “help companies transform enterprise organizations’ sales for the modern era.” Corporate Visions, which recently acquired win/loss analytics vendor Primary Intelligence, offers science-backed revenue growth services for sales, marketing, and customer success.
Along with hosting conferences and training, Corporate Visions helps firms “articulate value and promote growth” in three ways:
Make Value Situational by distinguishing your commercial programs between customer acquisition, retention, and expansion.
Make Value Specific by creating and delivering customer conversations that communicate concrete value, change behavior, and motivate buying decisions.
Make Value Systematic by equipping your commercial engine to deliver consistent and persistent touches across the entire Customer Deciding Journey.
“I have been a fan of Corporate Visions and their work since the beginning of Outreach. Their commitment to research-backed solutions for sales challenges and solid track record of implementing solutions across GTM teams that lead to results is unmatched. Their work has resulted in increased revenue and profitability for many of the world’s biggest companies,” said Outreach CEO Manny Medina. “That’s why Outreach is partnering with Corporate Visions to empower Chief Revenue Officers to unlock sales productivity so they can efficiently create pipeline and predictably close more deals.”
The partnership aims to increase deal velocity, improve sales quota attainment, and generate higher win rates. Corporate Visions will offer a quartet of Outreach-based services around tech implementation strategy, sales messaging optimization, skills coaching, and sales forecast process & measurement.
“By leveraging Corporate Visions’ best practices as organizations implement Outreach’s platform, enterprise sales leaders, from the CRO down, will ensure that every action their team is taking consistently builds enough pipeline coverage for the next quarter without sacrificing today’s deal velocity or pipeline conversion rates,” wrote the firms.
UK-based Revenue Intelligence vendor Kluster closed on a £4 million ($5 million) Series A round led by the Foresight Group. Other investors include SuperSeed and Cognism CEO James Isilay. The round raised total funding to $6 million.
Kluster helps sales teams monitor sales data and trends. Kluster’s AI aids sales managers in building quarterly and annual roadmaps that include hiring plans, targeted call counts, prospects to reach, and opportunities to generate. These KPIs provide a set of plans and objectives for the upcoming period. Kluster then monitors performance against the plan, updating the forecast, and recommending actions to reach objectives.
Kluster also supports stress testing, executive dashboards, and scenario modeling.
The funds will be deployed towards establishing an American presence and building out its go-to-market and executive teams.
“It has never been more important to plan and execute revenue strategy than it is today,” said Kluster CEO Dan Thompson. “With the recent VC bubble, the metrics that mattered went from growth, burn, and margins to growth, growth, and growth.”
Continued Thompson, “The bubble burst, and companies have now rediscovered the importance of rigorous planning, robust strategy, and comprehensive revenue reporting. Which is why I am delighted to partner with Foresight and deepen our relationship with SuperSeed, to bring our solution to this problem to the global market.”
The AI boom helped Kluster “get through the door,” said Thompson. “AI is pretty buzzy, but fundraising is always tough, and it was definitely more rigorous than it would be in the past.”
Kluster has grown to 30 employees since its 2016 founding. Half of its revenue comes from the US and Canada. It claims to have a net revenue retention rate above 100% and strong word of mouth, with referrals generating 40% of its income.
“They (Kluster) have a strong product-market fit, and I’m relieved to see a platform that enables companies to forecast revenue more accurately,” remarked Foresight MD Jack Eadie. “Kluster’s team is shaping the future of sales, and I am eager to see what they develop next.”
Groove Plays are triggered when one or multiple conditions are met.
Sales Engagement vendor Groove introduced its Plays service to the market this morning. Groove observed that most sales engagement vendors tout flows (aka cadences and sequences) but that sequenced, linear processes fail to capture the increasingly complex nature of modern enterprise sales. Furthermore, flows were initially designed for SDRs and appointment setting but are inadequate for meeting the broader needs of the revenue team.
Along with the introduction of Plays, Groove is shifting from sales engagement to a broader vision of “Connected Sales Execution” that unifies team, strategy, and technology.
“When my co-founder Austin and I founded Groove, we were sales leaders facing the exact challenge that Groove Plays solves,” said CEO Chris Rothstein. “We knew that in order to digitally transform sales as a profession, we had to start by building a foundation in advanced data capture and linear-process automation. With Groove Plays, we are introducing the next generation of Groove to solve the biggest untapped market in sales.”
Forrester recognized this transformation in its Q3 2022 Sales Engagement Platforms Wave report, noting that Groove’s activity capture and interaction management are “top-notch.” Groove collects and aggregates signals from interactions and scores from Salesforce and external sources such as Clari, Seismic, 6sense, and Snowflake. “This information is used to connect buying group members and make suggestions based on broad data sets. Groove specializes in industry-specific and customer-specific suggestions and signals.”
“We’re launching Groove Plays as a way to take your playbook finally out of your head and put it into software so that you can assist reps at the right time, rather than after it’s too late,” explained Rothstein to GZ Consulting. “And then the second huge benefit: if you can constantly see what’s being done, what’s not being done, and what’s correlated with winning, then you can evolve and constantly get better.
Plays are designed for complex, non-linear sales processes. Sales Operations set up Groove Plays to monitor accounts for risks and opportunities. Plays are triggered when specified conditions are met (e.g., stalled deals, single threading, missing participants by role).
Groove Plays also monitors rep activity to see whether plays contributed to positive outcomes. Thus, sales managers and operations teams know whether sales reps follow company playbooks and which ones are effective. Play analytics are broken into outcomes without intervention (the playbook was followed), with intervention (the playbook was followed but after a reminder), or ignored.
Furthermore, by monitoring activity, Plays prevent reps from failing to follow critical steps (e.g., sending a follow-up message after a call, quickly turning around meeting action items).
Groove Play Outcomes analyzes the efficacy of Plays
Alerts are fed to Groove’s Master Review List, which is displayed in its Chrome extension and visible across Salesforce, Groove, and email. In addition, timers can be set to prevent plays from automatically firing, thus reducing the likelihood that reps are overwhelmed by automated triggers.
Plays provide proactive coaching instead of waiting until account reviews or forecasts. Delayed recommendations are generally reactive instead of proactive. “At that point, it’s too late. And then you react way too late. Our goal is for you to put the rules in the system, so it’s assisting you at the right time when there are signals…so you can be more proactive and consistent,” stated Rothstein.
Plays recommend actions when specific criteria are met. For example, a play can be built for deals with negative sentiment concerning price and slowing engagement. The play could then recommend an ROI calculator to a prospect, helping shift their thinking from cost to ROI.
Plays can also be built around handoffs, ensuring that crucial transition steps are not skipped.
Plays are also integrated into Groove’s conversational intelligence service and generative AI, providing meeting follow-up emails based on insights. Reps can choose to regenerate the email or add snippets.
Groove suggests “ideal email content based on insights gathered from earlier in the deal process via Groove Conversations and advance activity capture.”
Plays can also be designed around deal risk, suggesting actions if key buying committee members are not engaged. Likewise, plays can be setup if MEDDIC steps have not been completed, the primary contact has not responded to a renewal message, or internal approval timelines are not being met.
Groove’s RIO AI engine consists of three underlying engines:
NLP: Analyzes emails and generates insights for coaching.
Association: Ties actions to outcomes across the tech stack.
Guidance: Suggests actions based on sales plays and generates personalized content and best engagement times.
Groove supports “Connected Sales Execution” across sales, marketing, and customer success. RIO ingests account and activity histories with feedback loops to refine plays and recommendations. Thus, Connected Sales Execution spans teams, processes, and technology.
“We’re a platform to help you execute your sales strategy,” argued Rothstein. At its heart, Groove employs AI, processes, rules, and sensors (e.g., email capture, calendar capture, logging, phone calls) that analyze activities and generate insights.
“We’ve always been a company that connects all these things: the technology and the process, the team and the process,” stated Rothstein. “Where we can help is getting everyone on the same page, executing the playbook in real-time, and seeing what’s working and [what’s] not.”
Groove Plays is in Alpha with a planned Q2 beta. Groove Plays will be available to all customers at no additional cost when it GAs this summer.
Lavender, which markets an AI-powered sales email coaching platform, closed an $11 million Series A, raising its total funding to $13.2 million. Norwest Venture Partners led the round with participation from Signia Venture Partners. The funding follows strong growth in 2022, with revenue rising 865%.
Funds will be deployed towards expanding its team and introducing “new AI-powered features that help revenue teams not just understand why their messaging is falling flat but also provide actionable coaching to improve productivity and generate faster responses.”
“Lavender’s new investment helps it build out a generative AI solution at the intersection of email marketing, sales enablement, and news and information,” wrote Outsell Lead Analyst Randy Giusto. “It shows where sales and marketing intelligence vendors must head next.”
Lavender integrates with a user’s email workflow, helping reps improve response rates. It also delivers prospect company and contact intelligence. Lavender scores emails and recommends steps to improve response rates. It also “coaches sales reps on how to build meaningful relationships and close more deals.”
Along with raising response rates, email composition time is significantly reduced. Lavender claims that rep time writing an email drops from fifteen minutes to one while raising email response rates fourfold to twenty percent or more.
“Using Lavender is like giving every seller on the team a dedicated coach, making them more effective, more efficient, and more confident in their job,” stated CEO William Ballance. “This funding quickly accelerates our ability to build the best email experience for sellers around the world. Most importantly, we’re creating new jobs as our team of #EmailWizards rapidly expands.”
The Lavender Team Dashboard
Lavender recommendations are initially based on “millions of successful sales emails and your historical emails.” However, it continues to adjust recommendations based on “what works best for you.”
Lavender evaluates the subject and body to improve open rates. It will identify subjects that are too long, not in title case, or contain numbers and punctuation. For the body, it looks at the length, layout, spelling, and grammar. For example, long sentences and paragraphs are difficult to read on mobile devices, so they are discouraged. According to Lavender, 80% of buyers are viewing emails on their phone, “so making emails easily scannable on a mobile device is imperative.” A mobile preview window displays the email as it would appear on phones.
“We recommend things across multiple categories, including formatting, phrasing, tonality and emotional intelligence, mobile optimization, personalization, and more,” explained Lavender COO Will Allred to GZ Consulting. “The data is always shifting though, and as trends shift in sales emails/what works well for that user and/or their team, Lavender’s scoring and recommendations dynamically adjust accordingly.”
Other Lavender features include a coaching dashboard, AI for Sales emails, and a personalization assistant. The coaching dashboard provides individual and team email scores, open rates, reply rates, and writing time. It helps managers determine which reps require additional coaching, what is working, and why it is working.
Lavender includes a “Start my Email” function that employs generative AI to “draft impactful outgoing email messages” based on seed bullet points from the rep or as email responses based on the email thread.
The personalization assistant displays recipient context to assist with personalization. For example, lavender surfaces social data, personality insights, news, events, job listings, funding announcements, and other intelligence within the composition workflow. Lavender AI also recommends “personalized intros to tailor your email and make it relevant to the recipient.”
Lavender is integrated with Gmail, Outlook, Outreach, and Salesloft. Lavender Anywhere, a Chrome extension, supports email composition for HubSpot, LinkedIn, Groove, Apollo, Engage, Outplay, and Mailchimp. As Lavender Anywhere is not directly integrated with these platforms, users must cut and paste the resulting text into the communication window. Lavender Anywhere is available with Pro and Teams licenses.
“Lavender is delivering exceptional value to our customers. Their integration provides real-time email assistance to help Salesloft customers build and deepen their relationships with prospects through better emails,” said Salesloft VP of Global Alliances Devin Schiffman. “We share in the mission of helping sellers be loved by the buyers they serve.”
Customers include Twilio, Sharebite, Sendoso, Segment, Lucidworks, and Clari. Allred said Lavender sells into a “large range” of companies, “but our sweet spot tends to be mid-market tech or tech-enabled companies.”
“Lavender is marketed toward ‘sales emails’ – but many things are a sale,” continued Allred. “Our users use Lavender for B2B sales, recruiting, customer success, marketing, and many more.”
While output is English only, features such as the email generator or summary tools can ingest foreign language input. Thus, Lavender “works great for ESL (English second language) selling into English speaking markets,” said Allred.
“Lavender’s platform goes beyond basic AI-generated writing to augment—rather than automate—sales outreach and humanize every interaction. It supercharges sales reps by reducing their time spent writing emails so that they can focus on building relationships and selling products,” said Scott Beechuk, partner at Norwest Venture Partners. “We were blown away by the ‘customer love’ for Lavender’s product, which is a testament to the founding team’s deep understanding of their end user and the tight-knit community of sales leaders it has already built. We’re excited to partner with this team on the journey ahead.”
The firm has benefited from the recent interest in generative AI and ChatGPT. “We were using GPT-3 long before ChatGPT was a thing, but ChatGPT has definitely increased interest in Generative AI more broadly. Users have created UGC (user-generated content) of them using Lavender to edit ChatGPT–generated emails,” explained Allred. “But before ChatGPT was released, thousands of users were already getting the benefit of it within Lavender.”
“We view the process of emailing as four parts: research, creation, editing, and learning,” continued Allred. Lavender assists in all four. Generative models can assist along the way to streamline things for our users.”
Lavender employs a freemium pricing model.
Lavender is sold on a freemium basis. Free users receive email analysis and personalization for five emails per month.
Reps can license an Individual Pro license for $29 per month that provides unlimited emails and recommendations. In addition, the Pro service includes Lavender Anywhere, multi-inbox support, analytics, and Gmail and Outlook 365 integrations.
For $49 per user per month, companies can license a Team edition that includes Team AI coaching, Team Insights, a Manager’s Dashboard, and SEP integrations for Salesloft or Outreach. Lavender offers a seven-day free trial and free premium licenses for job seekers, students, and bootstrapped entrepreneurs.
Attention, an AI-powered sales assistant, exited stealth mode and closed a $3.1 million seed round led by Eniac Ventures. Other participants include Frst, Liquid2 Ventures, Maschmeyer Group Ventures, Ride Ventures, and the founders of Ramp, Level AI, Truework, CBInsights, and Zoi. The new funds will be deployed towards advanced AI capabilities and market growth for the New York City-based startup.
Attention helps sales teams “overcome inefficiencies at every stage of the sales cycle,” including CRM hygiene, sales acceleration, and revenue growth. Attention accelerates sales rep ramp-up, drafts follow-up emails based on customer statements, improves forecasting, and automatically enriches Salesforce and HubSpot with post-call deal intelligence.
Attention maps discussions to custom CRM fields specific to standard sales methodologies such as MEDDIC and BANT.
Attention Battlecards
Attention also provides real-time suggestions and question responses, “resulting in all sales representatives having higher rates of success and closed business.” Recommendations include product responses to technical questions and objections handling. The Attention AI determines common unsupported questions and builds battlecards based on sales responses. Battlecards can also be developed or edited by the sales enablement team.
One novel feature is the ability to query the meeting transcript with a question, allowing reps to summarize or revisit the discussion around key topics quickly.
Sales reps can share call snippets with managers or SMEs via Slack, allowing them to forward open questions in the voice of the customer.
“Attention is a game-changer. We’ve rarely seen any product like this in terms of efficiency gains and ramp-up acceleration. We’re also blown away by how fast they’ve been releasing new capabilities.” said Peter Santis, head of sales at RocketChat. Santis both licensed the service for RocketChat and participated in the seed round.
Founders Anis Bennaceur and Matthias Wickenburg founded competing AI software startups before joining forces in September 2021 to build Attention.
“We’re thrilled to partner with Anis and Matthias as they leverage the latest developments in AI generation and natural language understanding to superpower sales organizations,” remarked Hadley Harris from Eniac Ventures. “We love working with repeat founders and couldn’t be happier with the strong pull they’re already getting from the market.”
Attention supports communications platforms, including Gmail, Outlook, Slack, Teams, Meets, Zoom, and Zapier.
Attention’s initial customers are in the technology sales space, most commonly with 50 to 100 licensed sales reps.
“The acquisition extends Bigtincan’s lead in AI-driven revenue intelligence by improving B2B sales organization’s ability to scale by delivering insights and recommendations directly to sales reps for better decision-making to increase revenue,” the firm told investors. “The SalesDirector.ai technology links people, activity, and engagement across the buyer’s journey to derive insights, including opportunity risk and relationship strength, and then makes intelligent recommendations. By capturing all sales, marketing, and customer success activity the technology drives actionable revenue insights required to make the right business decisions.”
Bigtincan stated that SalesDirector’s technology would improve its AI-powered insights capabilities and forecasting accuracy.
SalesDirector ingests data from GSuite/Gmail, Slack, Microsoft Office, and Microsoft Exchange and feeds contact data (e.g., Title, Department, Level, Phone) to Salesforce and Microsoft Dynamics. SalesDirector also captures Engagement Signals and writes them back to CRMs as custom fields:
Executive Engaged on Opportunity / Account
Single or Multi-Threaded Opportunity Relationship
Last QBR Complete / Next QBR Scheduled
Partner / Sales Engineer Engaged on Opportunity
Next Step / Meeting Scheduled
AI tools include stakeholder identification, individuals who are supporters or detractors, disengaged stakeholders, account risk scoring, sentiment analysis, and deal health.
SalesDirector.AI Account Insights and Next Best Actions.
“Every organization has to be more productive,” said Bigtincan CEO David Keane. “With the Sales Enablement market shifting towards a more holistic approach encompassing Revenue Enablement, we can deliver more value to our customers by providing full-cycle sellers with AI-driven recommendations on the next best actions based on intelligent sales analytics from SalesDirector.ai.”
SalesDirector pricing begins at $29 per user per month for activity capture. Revenue Insights pricing is not published.
AI-assisted stakeholder mapping.
Bigtincan will incorporate SalesDirector’s functionality into its product suite and phase out the SalesDirector brand.
“Traditionally, when we do small tech-focused acquisitions, they become part of the Bigtincan product suite, so that capability gets added to the existing platform we have,” said Keane. “We don’t tend to run these things as separate businesses, mostly because we miss out on some of the benefits for our shareholders of taking it all together and taking that technology and really getting in the platform. This is no different than our existing strategy – embed, connect it all together and make it something that our customers can choose to add. We do believe that it is all about choice, and we want people to be able to buy these technologies from us as additional value-added options. I think that’s going to be the case here as well.”
Bigtincan paid $1.2 million in cash and equity for SalesDirector.
The entire SalesDirector team is joining Bigtincan.
Bigtincan, listed on the Australian Stock Exchange, has acquired a series of RevTech companies, including ClearSlide, Brainshark, and VoiceVibes.
Seismic content and training recommendations are presented during calls.
Seismic and Microsoft announced an integration partnership that will embed Seismic’s sales enablement workflows within Microsoft Viva Sales. Seismic will provide “content production, collaboration, task automation, and engagement intelligence for Viva Sales users across the meeting experience to help drive deals and relationships forward.” The goal is to “streamline” buyer engagement at relationship-based sales teams.
Microsoft Viva Sales became generally available on October 3. Viva Sales is “a new seller experience application that brings together any customer relationship management technology (CRM), Microsoft 365, and Teams to provide a more streamlined and AI-powered selling experience.” The new solution is designed for the hybrid work environment where reps leverage video conferences, chats, emails, and documents to close deals.
“We’re united with Seismic in our commitment to empowering sellers through relevant content and an improved seller experience. Our plan to integrate Seismic with Viva Sales will help sellers have more personalized customer engagements whether they are in the office or on the road, with a helpful assist from the AI-driven insights and content,” said Lori Lamkin, CVP, Dynamics 365 Customer Experience Applications.
Viva Sales customers include Adobe, Crayon, and PwC.
The Winn.AI Zoom app supports real-time playbooks and intelligence capture.
Conversational data capture has been a popular theme this month with announcements from People.AI and Nektar. Winn.AI, a Tel Aviv-based AI Assistant and playbook vendor, came out of stealth mode this month to offer AI-based playbook coaching during digital sales calls. Winn.AI also captures real-time conversations and syncs account intelligence with Salesforce and HubSpot.
“Winn.AI relieves salespeople of…administrative busywork so that they can focus on their customers — not their keyboards. Its magic lies in its unique ability to monitor, interpret, and document sales calls,” said CEO Eldad Postan-Koren.
Winn.AI also supports playbooks and tracks key topics during calls, helping salespeople stay focused on their prospects. Winn.AI captures all relevant data during sales calls, such as pain points, timelines, competitors, and team size. Product, competitive, and technical information are also displayed during calls, reducing the frequency of “I’ll get back to you” responses and presenting competitive parries.
“One of our core competencies is that we’re training our AI in real-life sales meetings. This greatly helps us make it more accurate versus standard training resources,” said Postan-Koren. “Furthermore, the more a customer uses the product in their own sales meetings, our AI capabilities will improve to match their exact needs.”
To speed up playbook definition, Winn.AI includes a set of templates based on common sales methodologies.
Winn.AI joins conversational platforms, beginning with Zoom. Teams, Google Meet, and additional conversational platforms (meetings and dialers) are on the roadmap for Q4.
Other features include time warnings, attendee lists, and post-call meeting summaries. Editable summaries are displayed as soon as the call ends, adding them to the standard call workflow but removing most data entry. Salespeople can also send a personalized recap email to call participants. This review and notification process is generally completed within four minutes of call conclusion.
The Winn-AI post-call meeting summary pops up on call completion and supports editing and matching against CRM records.
Winn.AI does not create new records at this point but updates and enriches current Account, Contact, Lead, and Opportunity records. Winn.AI does not yet support inbound calls or SDR outbound prospecting performed on dialers.
Playbook coaching reduces onboarding time and gives reps confidence that they have proper messaging, competitive knowledge, and technical details at the ready.
Like most SalesTech companies in 2022, Winn.AI positions itself around productivity and effectiveness during lean times.
“The funding round timing made perfect sense. During turbulent times, when salespeople’s productivity and effectiveness are more critical than ever, a tool like Winn.AI provides the additional edge sales leaders and individuals are seeking,” Postan-Koren said. “The Winn.AI real-time assistant acts as an extra pair of hands during meetings, giving salespeople the freedom to focus their attention entirely on the customer.”
Winn.AI is backed by $17.25 million seed funding from Insight Partners and S-Capital. The firm has 25 employees and plans to double its headcount by the end of 2023. The funds will be invested in “improving our deep technology” and building a sales and marketing organization. All employees are in Israel, but they will be hiring in the US over the next two quarters.
Near-term roadmap goals are expanding the set of supported conference platforms and dialers, broadening the set of supported customer-facing roles (e.g., customer success, support, SDRs), adding playbook measurement and optimization tools, and implementing multiple, dynamic playbook branching (e.g., competitive handling, verticalized playbooks, technical discussions).
Postan-Koren offered GZ Consulting a compelling vision of “automated knowledge and personalization” feedback loops with the sales enablement team. Closing the loop helps the enablement team maintain playbook recommendations. Winn.AI will collect common responses and discussion tracks and feedback this intelligence to sales enablement for review and adjustments. This human-in-the-loop approach facilitates playbook and coaching refinement and filling in coaching gaps. It also identifies potential training needs as markets evolve.
“Winn.AI’s innovative and intuitive technology has identified a solution that addresses the pain points of Busy work. By allowing salespeople to focus on making the sale, Winn.AI enables organizations to Improve performance and increase the quota,” said Hagi Schwartz, Managing Director at Insight Partners.
Postan-Koren explained that Winn.AI employs NLU (Natural Language Understanding), which goes beyond NLP (Natural Language Processing).
“Understanding is not processing because I can ask you, ‘Michael, how many employees are you?’ And your answer will be 20 employees. But I can also ask you, ‘Mike, do you have 20 employees?’ And your answer will be yes. Or I can ask you ‘how many employees?’ and your answer will be 20. So here are three different ways to ask the same question to get the same answer, and the computer won’t understand it. Understanding context is the secret sauce here.”
What also differentiates Winn.AI is the combination of playbooks with real-time call coaching, data capture, and CRM syncing, allowing reps to be more present during calls. These elements are supported across many products, but I have not seen a company combine them into a single offering.
“The system is a personal assistant for the salespeople and relieves the burdensome administrative work of taking notes, having a list of answers, and entering information into the CRM,” stated Postan-Koren. “ It does so all at a level of detail that does not exist in other tools on the market, so much so that in real-time, it can exactly match a specific topic of conversation to the relevant field in the CRM. Also, the system knows how to follow the topics of the conversation in real-time, check the full coverage of the conversation’s agenda, and give instructions that will help improve performance. This is a new category in the SalesTech world, and Winn.AI aims to lead this category.”
Winn.AI is currently in beta with plans to formally launch in early 2023. The firm is not targeting specific verticals as it believes it has a compelling cross-industry solution that supports digital sales, customer success, and service departments.
Revenue Intelligence vendor People.AI announced a trio of product enhancements to its Platform: Engagement Dashboards, Account Planning, and People.ai for Oracle Sales Cloud. The enhancements are intended to “help sales and ops teams drive greater efficiency, deeper relationships, and clearer visibility.”
According to Seth Marrs of Forrester, 82% of sales activities are digital and available for capture and analysis. Furthermore, these analytics go beyond historical engagement data such as email opens and downloads and include insights concerning the nature of the interaction, buyer sentiment, open questions, and next steps.
Marrs sees the biggest RevTech trends as “the availability of interaction data and what that can do to really drive visibility into where you want to go, visibility into how you can better interact with customers, visibility into what you need to do to win more. It’s unprecedented. Now the big thing is how you pull that all together into an insight engine that can really help sales leaders and sellers. And on the other side of it, how do you get sales leaders and sellers to adopt this.”
One issue is the fragmentation of channels, with few vendors supporting cross-channel insight gathering and analytics.
“The real nuggets and the real value are in your ability to go out and find insights in that data that are actually new or that you couldn’t see before that you can use to help the seller win more deals, that you can use to identify more deals,” expanded Marrs.
Marrs called Revenue Intelligence insights “force multipliers” that aren’t geared towards doing things faster but improving sales efficacy. While automated activity capture offers efficiency gains by removing sales rep data entry, its true value is in standardizing the data capture and offering insights.
“The industry today has turned selling into an obstacle course, where reps need to navigate so many hurdles in order to actually do their job. We’re clearing the pathway so teams can focus on what matters: building revenue,” said Oleg Rogynskyy, CEO of People.ai. “Our newest product offerings aim to transform the B2B sales process by providing our customers with more data and greater insight to accelerate business decisions that will grow pipeline, increase deal sizes, shorten sales cycles and boost win rates.”
Custom Engagement Dashboards can be quickly built via a drag-and-drop UI.
Engagement Dashboards improve the visibility of buyer and sales engagement and identify at-risk accounts and opportunities. Engagement Dashboards offer personalized tables with custom metrics for any CRM or People.AI field, providing an improved understanding of opportunity and pipeline health. Dashboards are self-service and can be created by either users or admins.
Reps can find out which high-value accounts have low engagement or are missing key stakeholders, which accounts have pipeline potential, and which accounts are vendors properly engaged at the department and persona level.
Engagement Dashboards also assist with rep coaching with a My Performance page that compares current performance against past performance and peers.
The People.AI Account Planning application operationalizes a company’s account planning methodology within Salesforce. Account Planning helps visualize each “buyer’s business, goals, and obstacles” for enhanced opportunity discovery.
ClosePlan, a 2021 acquisition, has been integrated with People.AI. ClosePlan offers scorecards and playbooks designed around sales methodologies such as MEDDIC, MEDDPIC, Miller Heiman, BANT, and Value Selling. Reps can quickly qualify opportunities and identify blind spots. Deal Scorecard dashboards display opportunity health to align deal conversations better and take corrective actions. New features include the ability to attach opportunities and account maps to account plans.
Engagement data is integrated into account maps, identifying which departments are engaged and which ones present deal risk. Maps also identify positive and negative relationships across accounts.
People.AI Stakeholder Overview
New stakeholder insights cards (see image on the right) detail engagement trends, upcoming activities, sales team connections, and the opportunities with which the stakeholder is affiliated.
PeopleGlass, which offers a single pane of glass for viewing and updating opportunities across accounts, added field-level commenting and sharing across the account team.
People.AI also refreshed the PeopleGlass UX to simplify onboarding, personalization, navigation, and integration with Salesforce templates. Users can also @ share with colleagues specific fields, share the full PeopleGlass view, and quickly create new opportunities in Salesforce.
People.AI for Oracle Sales Cloud helps generate revenue by “increasing sales productivity, which will drive more and bigger deals faster and increase buyer satisfaction.” People.AI supports automated data capture with matching, filtering, and contact enrichment, freeing “sellers from tedious data-entry tasks,” allowing them to focus on selling. The service also offers “prescriptive and contextual seller actions” that assist with account targeting and activity prioritization.
“We’re collaborating with People.ai because we’re equally laser-focused on transforming the sales process into a modern revenue engine,” said Katrina Gosek, Product Management VP, Oracle Customer Experience. “Together, we will be able to provide our mutual customers with the actionable revenue insights needed to drive significant revenue transformation and growth.
People.AI already supports Salesforce, with over 250 implementations.
In its November release, People.AI will be supporting summary visualization for addressing questions such as with which personas and departments we should be engaging, which high-value accounts have low engagement, and how much pipeline is at risk.
Summary Visualizations will be available in the November release.
People.AI will also begin managing data gathering and reporting across multiple CRM instances, providing an overview of account activity across different divisions or regions. Multi-CRM unification provides “visibility into who’s talking to which accounts, identify cross-sell opportunities, and gain buyer group intel across business units and acquisitions.”
I am covering CRM data capture and enrichment vendors this week in my blog. Yesterday, I covered Nektar.AI, and on Thursday, I will cover Winn.AI.
