Agenda

The demands on revenue teams are very real: implement AI tools, develop talent, grow revenue at a neck-breaking clip. What do they expect from you, magic? In our signature Celebrate keynote, we'll expose the Revenue AI paradigm shift happening in real time — and give you a front row seat to making revenue magic a reality. We'll reveal the winning playbooks — or tricks — of the most successful companies in the world, and highlight the latest Gong updates to stay ahead as we enter this new era of Revenue AI. You'll walk away with clear, actionable tools and inspiration to outpace the competition, capture market share, and turn AI from a buzzword into a repeatable system for winning. Miss this, and you're left in the dark while everyone else has made revenue magic a reality.

Your product ships a new release. Product records a demo. PMM builds
messaging. Enablement creates some slides. Three weeks later, half your reps
are still pitching last quarter's feature set, and the other half are winging it on
calls.

So you fill the gap. You write a Slack post. You run the Friday Q&A. You record a
Loom on Sunday night. It’s not ideal, but it has to get done, because revenue
teams can't sell what they don't understand. And even when formal training
happens, it doesn't stick. A deck and a Slack post weren't built to make
anything stick.

In this session, Sam Shoemaker shares what she's seen work inside
high-growth revenue orgs: how AI has finally made it possible to build product
training that actually lands, in an afternoon, by the people closest to the
customer. You'll leave with a practical playbook for closing the gap between
product velocity and field readiness, without it landing on your desk at 9pm
on a Sunday.

Your sellers shouldn’t have to hunt for the data they need to take action. See how you can bring trusted account and contact data directly into Gong, filling gaps across multiple data providers and putting better data into the workflows reps already use.

Turn Gong calls into priced quotes in minutes, and give reps the comp visibility to price with conviction.

So what happens today in most companies? A call ends, the buyer is aligned, and then the quote takes three days. By the time it lands, the committee has re-formed around someone else’s number, and the only way to catch up is a discount that you didn’t plan.

Siva Rajamani, co-founder and CEO of Everstage, walks through what the fastest-growing revenue teams are doing about it: generating priced quotes directly from Gong calls, and connecting those quotes to the comp plan so a rep can see how they win with the right deal structure.

Leave knowing where quote lag is costing you deals, and what changes when reps can price with conviction instead of guessing.

The most forgettable part of a great sales call often begins the moment it ends.

Gong captures what the buyer cares about, the questions they asked, and what should happen next. But too often, that valuable context gets turned into the same generic recap email every buyer receives.

In this session, Vidyard will follow one post-call workflow that closes this gap. See how a rep can turn Gong’s conversation context into a personal video that shows the buyer they were heard, then see how the buyer’s video engagement flows back into Gong, with those insights also available in Gong AI Briefer through Vidyard’s MCP connection.

Because the missing last mile of personalization is not knowing more about the buyer. It is carrying what you know into every interaction that follows.

Your best plays shouldn't depend on you running them. The top revenue teams are turning their most valuable plays into Custom Agents that run on their own, and the payoff starts with one smart choice: knowing which repeatable, high-leverage work is worth handing off. A Gong customer shares how they found the play worth automating, what it took to build, and what they'd change. A Gong product expert then runs a live build, structuring the agent, dialing in the prompting and testing, and turning a proven play into one that runs itself. You'll leave with a real example, a framework for deciding what to automate, and a recipe you can use the next day.

Most enablement teams assess needs, build training, run practice, and measure results, but in silos, disconnected from what's working in the field. This session introduces a flywheel that detects real skill gaps, prescribes targeted practice, runs it at scale, and validates whether behavior actually changed. Stacey Justice, VP of GTM Enablement at Gong, shows it in action: how Gong used this model to get its field fluent on AI—from the foundations to orchestrating agentic workflows—backed by real performance data.

RevOps leaders feel the cost of bad data every day: reps chasing outdated contacts, verifying emails that bounce, and patching account records by hand. Good data is step one before any agent or automation can deliver ROI. In this session, RevOps peers share how they closed contact and account data gaps by building enrichment directly into their reps' workflow, pairing third-party data with first-party signals pulled straight from Gong calls, and what changed once the gaps closed.

Every Gong signal is an opportunity to do more than follow up. It’s a chance to show you were listening.
In this session, we’ll show how top reps turn conversation intelligence into personalized gifts that land because they’re personal, not because they’re persistent. From a small detail shared on a call to a timely reason to reconnect, you’ll see how reps turn signals into thoughtful moments that create real human connection and move relationships forward.

Turn the signal into a reason to reach out. Turn the reason to reach out into connection.

Seller skill development is only as good as the customer conversations that change and deals that accelerate. See how Corporate Visions’ buyer-validated competencies and skills reshape your most critical customer conversations, leveraging Gong to monitor, measure and coach at scale. Using AI Call Reviewer, AI Trackers, and more, your enablement & rev ops teams can ensure every front-line sales leader has what they need to change seller behavior and create buyer experiences that win.

AI isn't replacing your sales team—it's exposing everything that matters about them. In 2027, the sales organizations winning won't be the ones trying to automate humans out of the equation. They're the ones using AI to amplify what people do best: building relationships, making judgment calls, and moving deals forward with conviction.

The problem? Most companies are still deploying AI backwards. They're layering technology first and hoping process follows. But when you start with people—understanding what your team actually struggles with—and then layer in the right technology and process, something changes. Your sales team stops fighting the tools and starts fighting for deals.

In this talk, we'll explore how leading SaaS organizations are reimagining their sales stacks: how they're using AI-powered platforms like PandaDoc and Gong to give sellers the exact insight they need at exactly the right moment—so they can spend less time on busywork and more time on what closes deals. You'll hear practical examples of how this shift is changing deal velocity, win rates, and team morale.

Every revenue org has spent the last two years chasing some version of AI transformation. Now, most are facing the harder second act: scaling past the pilot and into measurable results. A select group of influential revenue leaders share what happened when their AI strategy met the real world. These executives will reveal the friction they didn't expect, the trade-offs they had to make, and the specific decisions that turned early missteps into measurable revenue outcomes. You'll walk away with pragmatic insights and winning moves — backed by results — that you can bring back to your own revenue team and apply right away.

Two big things are changing for RevOps teams today: what they’re building, and how they’re building it. After 10+ years working with companies like Zendesk, Figma, and Fin (Intercom), Go Nimbly has seen the DNA of RevOps change. In this session, Jen gives some real world examples of teams doing it right, and shares Go Nimbly’s framework for identifying and prioritizing Jobs to Be Done.

This session goes deeper on Gong for account management—starting with how teams are using Gong today to understand their accounts, set priorities, and build actionable account plans. Then, see where we’re taking it next: helping reps focus on the right accounts, execute the right Plays, and get the next best action for every account. We’ll bring it all together with our vision for a more proactive, agentic way to manage and grow accounts.

Go beyond out-of-the-box automation and see how teams can spin up custom AI agents that work independently inside Gong. This session walks through what a Gong agent is, where it fits in your revenue motion, and how to configure one for your own use cases, with a live build on stage.

Bigger targets, leaner teams, and endless AI tools. For financial services leaders, the right playbook is the difference between winning and coming up short. This two-part workshop begins with a panel of leaders from some of the industry's most innovative firms sharing how they are using AI to reshape the way their teams sell, serve, and grow. Then, we'll roll up our sleeves for a hands-on session building a concrete plan for gaining more ROI from AI - you'll walk away with a concrete, prioritized action plan for building an AI revenue stack that delivers measurable impact.

Revenue performance often looks stable … until it isn’t. Drawing on lessons from Apollo 13, we’ll explore how even the best revenue data can surface signals without revealing the context behind them. Gong captures what buyers say during the sales process, while Clozd uncovers what they’re really thinking when your team leaves the room. Together, they help revenue teams close the gap between sales conversations and buyer decisions to uncover blind spots, identify hidden risks, and drive smarter growth.

In an industry built on trusted relationships, healthcare organizations are embracing AI to drive growth without losing the human touch. This two-part session explores how to accelerate meaningful connections across the customer lifecycle. We'll start with a panel of industry experts on how AI agents enhance human connection and fuel growth from point-of-sale through ongoing engagement.

Then, we'll facilitate a discussion on practical ways to use Gong beyond initial sale to streamline onboarding and time-to-value, empower sales teams, and uncover expansion and retention opportunities. Join us to transform your revenue operations while keeping customer trust at the center.

Pipeline reviews are only as sharp as your read on where the risk really is. See how a RevOps leader starts in Gong Assistant with a simple question — where is pipeline risk increasing, and what's driving it? You'll leave knowing how to turn everyday questions into the analysis that drives smarter pipeline reviews and a stronger revenue process.

There's a glaring problem in GTM engineering: in the rush for seller efficiency, we've forgotten the buyer experience. True value selling is a two-way street, yet it rarely reaches reps, let alone their customers. The seller-side gains are real, Gartner puts AI-savvy sales orgs at 2.6x more likely to achieve commercial growth. But by 2030, predicts 75% of buyers will want human interaction over AI. As the market races toward an agentic world, we need to bridge that gap.

This panel tackles a single question: what does it really take to get every customer-facing team working from one strategy across the customer lifecycle? Your customer sees one company, but the intelligence about them too often stays locked inside a single function, and the seams between teams are exactly where deals and renewals quietly fall apart. Panelists share concrete examples of using AI-generated insights to coordinate account planning, hand off context between functions, prepare for key customer moments, and spot expansion. Expect an honest look at where alignment breaks down in practice, what works, what doesn't, and what they'd do differently. The focus is cross-functional workflows and organizational habits, not features.

Every RevOps and technical leader is having the same conversation right now: build it ourselves, or buy it? This session breaks down how to approach that decision through real examples of best-in-class tech stack architecture. See how different companies structure their stacks, where they built, where they bought, and what it cost them either way.

The best coaching happens in the moments that matter. But it's the first thing to slip as headcount climbs and managers get stretched thinner. This session follows leaders who turned reactive coaching into a consistent operating rhythm, using AI to pinpoint where and when reps need help so managers spend their time developing teams, not hunting for what to fix. Leave knowing how to make great coaching a habit that doesn't break the moment things get busy.

Your team is already capturing the details from every conversation with Gong. Every objection, buying signal, questions and next steps. The opportunity is getting more out of those insights, faster, by turning them into action while the interest is still hot.

In this session, Melanie Fellay, co-founder and CEO of Spekit, will show how leading revenue teams are tripling down on their Gong investment with AI, including AI Deal Rooms that turn call intelligence into personalized, on-brand buyer experiences automatically, along with content creation and learning in the flow of work™. Come see a live demo and get a practical look at what's possible when your Gong data does more of the work, so your reps don't have to.

QBR prep means knowing what's happening across your enterprise deals this quarter — the trends, and what reps do that consistently drives wins or losses. Walk in to your next QBR with the full story, not just the dashboard.

AI agents fail quietly. They route a lead to a rep who left, qualify a customer you already have, or miss the stakeholder who actually decides. Those failures trace back to data, process, and customer context. So LeanData orchestrates all three across your CRM, MAP, ABM, and CS systems, giving agents and humans the same ground truth. Join us to see the complete LeanData platform in a live demo.

This session will cover:

• Orchestration: Real time lead matching, routing, and assignment, native to Salesforce.
• BookIt and Agentic Scheduling: Buyer intent turned into booked meetings in seconds, from a form fill, an SDR handoff, or an AI agent.
• Journeys: Unify customer signals across every deal and buying group for coordinated engagement

See how deterministic execution lets you run AI across your GTM motion with confidence.

See a Gong agent call Minoa via MCP - live - and turn the intelligence already captured across a deal into a quantified, customer-backed business case.

Gong brings together the intelligence across the customer relationship. Minoa adds the value layer and system of record for customer value. Together, they give AI the context and capabilities to move beyond understanding the deal and actually do the commercial work required to advance it.

In 10 minutes, watch the agent move from customer conversations to priorities, measurable outcomes, financial impact, and a living business case - without taking the seller out of their Gong workflow.

This session goes deeper on Gong for account management—starting with how teams are using Gong today to understand their accounts, set priorities, and build actionable account plans. Then, see where we’re taking it next: helping reps focus on the right accounts, execute the right Plays, and get the next best action for every account. We’ll bring it all together with our vision for a more proactive, agentic way to manage and grow accounts.

Last year’s ecosystem panel made the case for MCP as the mechanism for AI interoperability. This year picks up where that left off: With the adoption of MCP and platforms capable of building agentic workflows, the challenge revenue teams need to tackle is using these capabilities to drive better outcomes.

Leaders from Microsoft, LinkedIn, and Deloitte join Gong to share their experience and how the best revenue teams do just that.

In this entertaining and provocative talk, #1 New York Times bestselling author Daniel Pink will offer a quick look at the big trends reshaping business – then offer a set of practical, science-based tips for making progress amid the turbulence.

In this session, Ben Henson, VP, Sales Conversational Intelligence at Consensus, will explore how agentic experiences can extend a seller’s influence beyond the live conversation. Learn how to equip champions to sell internally, carry context across interactions, and create experiences that act as a trusted partner when the seller isn't there.

Because sellers may never control every room, but they can have more influence over what happens inside it.

What if your reps never had to guess what happened on a call, or spend a week turning it into a value story?

That's exactly what Keyfactor and Ecosystems built. ViViEN™, Ecosystems' Virtual Value Engineer, sends reps into discovery calls with the right questions already loaded. Gong's AI captures the conversation and flags what's missing: the stakeholder who didn't show up, the question nobody asked, the competitor the prospect mentioned. Then ViViEN™ takes that data and builds a value story or a competitive battle card around it, matched to the deal, in minutes.

Work that used to take Keyfactor's best reps one to two weeks now happens before their next meeting.

In this session, we'll show the workflow live: how Gong and ViViEN™ hand data back and forth to close discovery gaps and sharpen competitive positioning in real deals. And we'll look ahead to where this is going next, including bringing the workflow directly into tools like Teams through MCP, meeting reps exactly where they already work.

If you've ever wondered what it looks like when conversation intelligence and value selling actually talk to each other, this is that session.

As AI reshapes B2B sales, buyers continue to place incredible value on human expertise, trust, and relationships in complex deals. Yet without a proven AI-governed approach, your sellers will have the wrong conversations at the wrong time. In this session, you will learn how to identify the proven competencies that influence buying decisions, use Gong and other AI tools to pinpoint skill gaps and coaching priorities, and improve seller performance in high-stakes buyer conversations.

Zillow's scheduling stack was fragmented — a patchwork of point tools and manual invites, each team doing its own thing. They needed more than a better booking tool; they needed a platform whose API and MCP were open enough to build on. Through the Gong Engage partnership, Chili Piper gave Zillow's GTM systems team that foundation — powering a custom onboarding experience and a cross-business reporting hub, and turning a small pilot into a 300+ rep transformation in weeks, not quarters.

In this Q&A-style session, Mert unpacks what made that possible from the Chili Piper side — the platform capabilities and account-team decisions that removed friction — while Alex adds color from the builder's seat: what the API and MCP actually unlocked, and where the platform changed his timeline. Expect a session that's part case study, part behind-the-scenes look at what it takes for a platform to become, in Alex's words, "a backbone" for a customer's AI transformation.

Headless CRM isn't about saving sellers time, it's about what they do with it. By decoupling data capture from the interface, headless CRM uses tools like Gong and Claude to power sharper call prep, real-time insights, and stronger follow-up, while giving sales strategy and ops teams richer data to work from. Join Deloitte to learn what headless CRM is, why it's gaining momentum, and what leaders should do now to get ahead of it.

Most systems can store your revenue data. Almost none can connect and contextualize it. The Gong Revenue Graph is the context layer that automatically captures and maps every call, contact, and account, turning disconnected data into a single source of truth. In this session, we'll go under the hood and examine how a signal detected in customer conversations (a stalled deal, a missed stakeholder, a competitive mention) gets operationalized in Gong and fed back into the Gong Revenue Graph. We'll also walk through how to use Gong Dashboards, MCP, and Custom Agents so you leave with use cases to bring back to your team.

The revenue role is being rewritten in real time. GTM teams are asked to do more with AI, own more of the motion, work across functions, and navigate complex deals and rising expectations at once. The old picture of a "great" seller or CSM no longer holds. This session asks what talent looks like today: the skills that matter now, and the ones AI makes table stakes. Leave with a sharper view of what to build toward in your team.

The highest-performing revenue teams don't run on individual heroics. They spot what their best reps do well, then build the systems to scale those practices across the whole org. This session pairs a real customer transformation story with an inside look at how Gong runs on its own AI. You'll follow one clear before-and-after: how a sales or CS leader took an approach already proven by top performers and drove org-wide adoption, making it easy for every rep to follow and simple to reinforce in coaching. Expect the rollout, the adoption curve, the hard numbers behind it, and a framework you can take home to turn your best practices into how the whole team operates.