GTM

Top Revenue Forecast Tools
GTM, RevOps

13 Best Revenue Forecast Tools for 2026

13 Best Revenue Forecast Tools for 2026 RevOps 11 min July 17, 2026 Forecast accuracy has been a stubborn problem for as long as there’s been a quota to hit. Most RevOps teams have lived through the gap between the number in the forecast deck and the number that actually closes, and the tools in this category all exist to shrink that gap. This list keeps to forecasting platforms genuinely built around pipeline prediction, deal-risk scoring, and forecast accuracy. Get our latest insights into your inbox What Is Revenue Forecasting? Revenue forecasting is the process of predicting future revenue based on historical data, current pipeline, and market conditions. It’s how a business turns “how much did we sell last quarter” into “how much should we plan to sell next quarter.” It helps RevOps and finance teams decide where to allocate budget, headcount, and resources with some confidence in the number. The mechanics haven’t changed much: gather historical data, identify the factors that actually drive revenue (leading indicators like pipeline conversion rate and engagement), build a model, and continuously validate it against what actually closes. What’s changed is what “the data” means. A forecast model built on CRM data with incomplete contact and activity records is still just a confident guess. No algorithm fixes an input problem, however good the model on top of it is. Why Forecasting Accuracy Is Still Hard Forecasting has always been difficult, but the reasons have shifted since the last version of this list: Data completeness, not just data volume.  Most CRMs are missing a large share of the activity that actually happened in a deal. Examples include meetings that never got logged, or stakeholders who were never added as contacts. A forecast model can only be as accurate as the pipeline data it’s built on. AI agents are now acting on forecast data, not just displaying it.  Where a forecasting dashboard used to be something a RevOps leader read and interpreted, more of that data now feeds directly into agents that flag risk, reprioritize pipeline, or trigger workflows. There is less human judgment sitting between the data and the action. Market and buying-committee volatility.  Longer sales cycles and larger buying committees mean more stakeholders whose engagement (or disengagement) can shift a deal’s trajectory without ever showing up as a stage change in the CRM. 13 Best Revenue Forecast Tools for 2026 Nektar: CRM data foundation that forecasting tools depend on Aviso AI: agentic forecasting and revenue execution Anaplan: enterprise financial and revenue planning Cien: AI-driven sales performance analytics Kluster: forecasting process standardization ZoomInfo Chorus: conversation intelligence backed by B2B data MadKudu: predictive lead and account scoring Celonis: process mining for sales-cycle bottlenecks Fullcast: territory, quota, and capacity planning Gryphon.ai: compliant call analytics and activity tracking SalesDirector.ai (Bigtincan): activity capture and revenue insights Upland Altify: account planning and opportunity management Vortini: forecasting and revenue-planning dashboards Overview of the 13 Best Revenue Forecast Tools 1. Nektar Every tool on this list predicts from the same underlying source: your CRM’s pipeline and activity data. If that data is incomplete with missing stakeholders, unlogged meetings, or contacts attached to the wrong opportunity, the forecast built on top of it is a confident guess dressed up as a number, no matter how sophisticated the model. Nektar addresses the layer underneath the forecast rather than the forecast itself. Data Foundation automatically captures every email, meeting, call, and calendar event across your team and writes it natively into Salesforce with zero rep effort and go-live in under two weeks. Time Travel retroactively corrects historical records as new context arrives, closing the gap that static, point-in-time capture tools can’t touch. Daisy AI surfaces revenue signals across categories including deal velocity, buyer engagement, and churn risk, giving forecasting and pipeline-inspection tools (including several others on this list) a materially more complete dataset to predict from. Nektar doesn’t compete with the forecasting and orchestration platforms on this list on prediction math. It’s vendor-neutral by design, sitting alongside those tools and making sure the data feeding their models is actually there. In production: Mimecast identified $80M in pipeline and $2M in incremental expansion revenue within 80 days of deploying Nektar. Brex built Nektar’s engagement data into daily CRO pipeline reviews. Key features: Zero-rep-effort capture across email, calendar, meetings, and calls Up to 12 months of historical backfill Revenue signals feeding downstream forecasting and pipeline tools Improves the data underneath other forecasting platforms rather than replacing them Best for: Teams whose forecast accuracy problem traces back to incomplete CRM data rather than a weak prediction model. 2. Aviso AI Aviso has moved from a pure forecasting tool to an agentic platform built around MIKI, a conversational orchestrator that can query pipeline data and trigger CRM updates directly, alongside 50+ pre-built revenue agents. The forecasting engine underneath is trained on historical deal and engagement data which remains the platform’s anchor. Key features: MIKI conversational orchestrator, predictive forecasting, real-time AI-driven deal coaching, no-code agent workflows. 3. Anaplan Anaplan is a connected-planning platform used well beyond sales for supply chain, workforce, and financial modeling, with revenue forecasting as one major use case. It’s been privately held under Thoma Bravo since 2022; the platform is worth knowing if procurement or vendor-stability questions come up in an evaluation. Key features: Hyperblock modeling engine, scenario and what-if planning, cross-functional connected planning, enterprise-scale collaboration. 4. Cien Cien uses AI to analyze historical sales data and benchmark rep performance against forecast outcomes, aiming to separate the deals that are genuinely likely to close from the ones that look healthy on paper but aren’t. Key features: AI-driven performance benchmarking, forecast accuracy analytics, sales coaching recommendations. 5. Kluster Kluster standardizes the forecasting and pipeline-review process itself: consistent cadences, repeatable reporting, and pipeline-funnel tracking so forecast calls run the same way every cycle rather than being rebuilt from scratch each time. Key features: standardized forecasting workflows, pipeline funnel tracking, automated reporting cadence. 6. Zoominfo Chorus Chorus has been part of ZoomInfo since 2021 and now runs on

AI, GTM, RevOps

Unlocking Revenue Intelligence: Bridging Data Gaps with AI & GTM Strategies

In this episode of the Revenue Lounge Podcast, host Randy Likas and guest Uday Sharma discuss the critical importance of data trust and hygiene in modern revenue operations. They explore how fragmented data can lead to poor decision-making and the necessity of building a centralized data system to enhance revenue intelligence. Uday emphasizes the role of analytics in shaping strategy rather than merely reporting metrics, and the conversation also delves into the implications of AI on data quality and governance. Uday shares insights on how to effectively advocate for funding data initiatives and the importance of changing organizational behavior to improve data practices.

GTM

PLG to Enterprise GTM: Playbook for Experimentation, Signal Discipline and AI

PLG to Enterprise GTM: RevOps Playbook for Experimentation, Signal Discipline, and AI That Actually Works A conversation with Stephanie Couzin. Executive Summary Lucid’s GTM evolution is not a “PLG vs Sales” story. It’s an operating model story. In this episode, Stephanie Couzin (VP, GTM Strategy & Ops at Lucid) breaks down how modern revenue teams can scale experimentation, build enterprise sales muscle, and adopt AI without turning their tech stack into a Frankenmonster. Readers will learn: PLG → Enterprise is a signal shift: you move from optimizing for users to optimizing for accounts, buying committees, and expansion readiness. Experimentation only works if comp risk is managed: GTM tests touch variable pay, so pilots must be designed as true win-wins. Psychological safety is a growth lever: teams ship better ideas faster when people can speak up, fail fast, and share learnings without fear. Data is the cost of entry for GTM testing: if upper-funnel metrics and activity data are messy, your “experiments” turn into opinions. Standardize AI or suffer whack-a-mole: pick a core AI platform to reduce tool sprawl and enable repeatable adoption. Agentic vs Copilot AI are different games: agentic is replacement (parity + cost savings), copilot is augmentation (productivity + more customer time). Start with the use case, not the tool: the fastest path to value is defining the workflow problem first, then deciding buy/build. One priority beats twelve “priorities”: focus drives execution, and execution is the only feature that matters. Facebook Twitter Youtube The Hidden Shift: From “Users” to “Accounts” Early Lucid was deeply product-led, built on a mature self-serve engine. Then came the layering: Sales motion Segmentation Enterprise complexity Multi-threaded post-sales workflows Stephanie describes it as moving from user-centric growth to account-centric expansion. PLG gives you usage.Enterprise GTM demands orchestration. The real challenge isn’t adding sales reps.It’s building the infrastructure to know when, where, and why sales engagement should happen. Experimentation Built Lucid’s Sales Muscle Stephanie points to Lucid’s early experimentation with a Product Qualified Motion. Most PLG companies start with lead scoring at the user level. Lucid evolved it further: Not just which user is engaged But what is the account telling us? And who should we reach out to now? That shift is everything. “Where that really evolved over time was identifying at the account level, what are the signals we need to outreach at the right time with the right messaging.” — Stephanie Couzin That’s the marriage of: First-party product signals Third-party intent and context Segment-aware targeting Persona-aware outreach Stephanie calls it the “special sauce” of modern lead scoring. The Account Expansion Checklist (Lucid’s Internal Recipe) Stephanie hints at what many GTM teams lack: an internal definition of “ready.” Lucid has an internal checklist: “A set of account signals where we say: this account is locked and ready to expand.” If the checklist isn’t met, Lucid doesn’t stop. They reverse-engineer value: You use Slack? You use documentation tools? You have workflows Lucid integrates into? Then Lucid doesn’t sell harder. They sell smarter: “This is how you get more value.” Cross-Functional Alignment: Experimentation Without Chaos Testing in GTM is not like testing in product. Because in revenue… someone’s commission is always involved. Stephanie puts it bluntly: “Testing something new will impact someone’s variable compensation.” — Stephanie Couzin So experimentation requires designing for buy-in. Lucid ran a coverage pilot by: Using lower-risk accounts Making rep trades fair Ensuring nobody felt punished for participating A GTM experiment only works if it’s a win-win. Otherwise reps sandbag, ignore, or resist. And your “pilot” becomes theater. Psychological Safety Is the Real GTM Scaling Lever Stephanie goes deep here, referencing Google’s Project Aristotle – Google studied what makes teams high-performing. The #1 factor wasn’t IQ.It wasn’t experience.It wasn’t process. It was: psychological safety. “They could speak up without fear of consequence. They felt freedom to fail fast.” — Stephanie Couzin Stephanie teaches this internally at Lucid. And she’s clear: This isn’t about politeness.It’s about intentional leadership. Practical mechanisms Lucid uses: Weekly project show-and-tells “Smart Fridays” where reps share plays Normalizing learnings over perfection The GTM Psychological Safety Loop Safe to speak → More ideas → Faster experiments → Better learning → Higher trust → Stronger execution Data Discipline: The Unsexy Requirement for GTM Experiments Stephanie delivers one of the hardest truths in RevOps: Lower funnel data is solid. Upper funnel data is… suspicious “As you move further up funnel… fewer eyes are on those metrics.” — Stephanie Couzin Testing requires: Full-funnel accuracy Integrated activity capture Shared KPI definitions Governance (tagging, segmentation discipline) AI in GTM: Standardize or Suffer Stephanie’s AI governance advice is refreshingly simple: “Standardize on something. Otherwise you’re in whack-a-mole.” Lucid standardized on Google Gemini. Not because it solves every revenue use case. But because: It reduces fragmentation It sparks shared experimentation It creates repeatable workflows It prevents reps from duct-taping random tools together The goal is not AI everywhere. The goal is AI that fits into systems. The Most Important GTM AI Rule: Start With Use Cases, Not Tools Stephanie nails this: “What use case are you trying to solve, not what tool do you want?” Because shiny object syndrome is real. Most orgs buy AI like toddlers choosing cereal: “Ooh, the box is shiny.” Lucid forces the opposite: Define workflow pain first.Then evaluate tooling. AI Use Case Intake Form What GTM workflow breaks today? What manual effort exists? What does “better” look like? Is this assistive or agentic? Can current stack solve 80% already? What data sensitivity is involved? What adoption friction will occur? Agentic AI vs Copilot AI: Stop Confusing the Two Agentic AI Replaces human work Measured in cost savings Goal is parity (“do no harm”) Copilot / Assistive AI Enhances workflows Measured in productivity and customer time Harder to quantify, but more transformative “Most AI we adopt for revenue teams is assistive. It makes teams more productive.” That’s where the real gains are: Better prep Faster follow-up Less manual CRM work More customer-facing time The GTM Takeaway Stephanie Couzin’s playbook isn’t about

Andy Mowat
GTM, RevOps

Future of RevOps: GTM Systems, Hiring Tactics and Career Strategies

A RevOps Playbook on the GTM Power, Careers and Hiring Strategies A conversation with Andy Mowat Executive Summary Andy Mowat has navigated the go-to-market journey from every angle—entrepreneur, operator at four tech unicorns (Box, Culture Amp, Carta), and now founder of Whispered. In this conversation, Andy shares hard-earned lessons on what separates strategic RevOps leaders from tactical executors, why the GTM tech stack is dying, how to take control of executive interviews, and why most people are dangerously cheap about investing in their careers. This isn’t theory. It’s a playbook built from someone who’s been the “wrong person for the job” four times and figured out how to win anyway. Readers will learn: RevOps is evolving from an execution function into a strategic GTM decision engine. The best RevOps leaders earn trust by forcing trade-offs, not by saying yes to everything. Legacy GTM stacks are breaking. Data fluency and AI-ready systems are becoming mandatory. GTM engineers are emerging under RevOps to automate execution and scale insight. Most executive roles are never posted. Senior hiring happens through networks and backchannels. Hiring favors builders who can get into the weeds, not just managers of managers. Strong candidates take control of interviews and show how they think, not just what they’ve done. Career leverage now comes from networks, reputation, and visible thinking, not applications. Facebook Twitter Youtube From Accidental RevOps to GTM Architect: Andy’s Career Arc Andy did not plan to end up in revenue operations. He stumbled into it the way many of the best RevOps leaders do. Early in his tech career, he joined Upwork. There was no CRM. So he built one. There was no outbound engine. So he figured out how to send a million emails. There was no formal RevOps function. So he became it. This pattern repeated. At Box, post-IPO, he took over post-sales operations, then marketing ops. At Culture Amp, he helped scale revenue from roughly $5M to $150M. At Carta, he entered during another inflection point, surrounded by leaders who understood that GTM decisions compound quickly, for better or worse. Across these roles, Andy learned something that most operators learn too late. RevOps is not a service desk. It is the economic engine room. The Real Difference between Tactical & Strategic RevOps Most RevOps leaders think their job is to execute requests efficiently. Andy believes that is how RevOps loses credibility. The inflection point in his thinking came at Box, when the company’s CCO told him “he’s not getting headcount unless the business gives it to him”. Instead of asking for budget, Andy began forcing trade-offs. He showed Sales, Support, and Customer Success how RevOps leverage could outperform incremental hiring. When leaders realized that one RevOps hire could unlock more growth than two frontline hires, budget appeared quickly. Andy’s rule is simple. If RevOps says yes to everything, it is not strategic.If RevOps forces prioritization conversations with executives, it is. “The wrong answer is ‘We got it.’The right answer is ‘Here’s the priority order I see. If we disagree, let’s take it to the CRO.” — Andy Mowat Where RevOps is Actually Headed Andy does not believe today’s GTM stack survives the next five years. He is tracking more than a dozen “CRM 2.0” challengers. His core criticism of legacy tools is structural, not cosmetic. Current GTM systems have: Clunky user experiences Data models not designed for AI Endless bolt-ons that fragment signal quality The Non-Negotiable Skills a RevOps pro Must Have Data literacy. Know what ETL and DBT actually do. Tight partnership with product and data teams. Embedded analytics and BI inside RevOps. Automation ownership, not tool babysitting. He also pushes back on the myth of the “GTM Engineer” as a shortcut. There is no shortcut. But there is a new function emerging. “GTM Engineers should live under RevOps.Their job is to automate the business and innovate for the reps.” — Andy Mowat https://youtu.be/H3CesaCmKWA What is Whispered? Whispered did not start as a company. It started as a survival mechanism. After a failed startup, Andy found himself asking a question many senior leaders never admit out loud.“Will anyone Hire me again?” At senior levels: Roles are rarely posted. Recruiters control access. Company quality is opaque. Networks go stale quietly. “Your next role won’t be posted. It’ll be whispered.” — Andy Mowat Whispered is designed for VP+ GTM leaders who are curious but cautious. It combines: Career playbooks Company backstory intelligence Unposted role discovery Network swarming across 300,000+ first-degree connections A private community that trades signal, not hype People join for roles. They stay for the network. Strategies for Hiring Senior Executives Through Whispered Hiring, Andy has interviewed dozens of CEOs, CROs, and CMOs about how they evaluate senior talent. Several patterns repeat. 1. Back-Channels Are the Highest Signal Everyone uses them. Everyone admits it. The best advice he heard recently: “Back-channel before you fall in love with a candidate.” 2. Builders Are in Demand Even at senior levels, companies want leaders who can still get into the weeds.AI has increased this expectation, not reduced it. 3. Rigid Thinkers Lose Andy calls it anti-rigidism, not ageism. Leaders who cannot adapt get filtered out quickly. 4. Slope Matters, but Only with Pattern Recognition High-growth companies love people who can outgrow their role. But leadership teams need both: Builders with slope Operators with scars Out perform your next Interview call Andy comments, treat your interview as a Sales call. Andy’s favorite interview opener is disarming. “I’m excited to meet you. What questions do you have?” Then he watches. Great candidates take control. Weak candidates wait to be prompted. Lazy questions kill momentum. Deep questions reveal how someone thinks. Interview Question Upgrade Instead of:“What’s your strategy?” Ask:“Here are three GTM constraints I see. Which one worries you most right now?” The goal is not to impress. It is to create signal. Personal Brand Without Becoming an Influencer Andy draws a line between thought leadership and performance. He writes because he cares and because writing clarifies thinking. It

GTM

The Strategic Narrative Playbook: Lessons on How Stories Align Companies and Win Markets

The Strategic Narrative Playbook: Lessons on How Stories Align Companies and Win Markets A conversation with Andy Raskin. Executive Summary This article breaks down the narrative frameworks behind companies like Salesforce, Zuora, Turing, OneTrust and other category leaders. It draws directly from an in-depth conversation with Andy Raskin, the world’s most referenced expert on strategic narrative design and the author of “The Greatest Sales Deck I’ve Ever Seen.” Readers will learn: How Andy went from software engineer to the world’s leading strategic narrative consultant What the “arrogant doctor” problem reveals about failing pitches Why worldview shifts create urgency when features cannot How the best CEOs evolve their narratives every two to three years The emotional glue behind every winning narrative (hint: it’s belonging) Why the sales deck is the most powerful narrative asset How to run a cross-functional narrative redesign that actually sticks Templates, story structures and practical frameworks you can apply immediately Facebook Twitter Youtube The Anatomy of a Strategic Narrative: Inside Andy Raskin’s Approach 1. How a Failed Pitch and a Barnes & Noble Window Sparked a Career Andy began as a software engineer. His entry into the world of narrative design was accidental. In the late 90s, he and a colleague built a Windows app, wrote a business plan, and sent it to VCs. One VC replied:“This is a one. Worst. Not a compelling story.” That line changed everything. A few weeks later, Andy passed a Barnes & Noble in New York. A small sign in the window read: “For anyone who wants to tell a great story.” → pointing to books on screenwriting. Those books reframed his understanding:Movies are pitches. A pitch is a story. And great stories move people more than feature lists ever will. 2. The Moment Narrative Became a Career Over the next decade, Andy led various roles: journalism, interim CMO, tech marketing, consulting. During one engagement, a CEO told him: “Your biggest value? You got our story straight.” This insight led Andy to focus exclusively on narrative work. A YC founder sent a note to their internal mailing list recommending Andy, and his calendar never looked the same again. The Article That Changed Everything His Medium article “The Greatest Sales Deck I’ve Ever Seen” went viral and has accumulated millions of views. The Core Problem: The “Arrogant Doctor” Pitch Andy’s foundational metaphor: The Arrogant Doctor Most companies pitch like this: “You have a pain.” “We have the cure.” “Let me brag about why it’s better.” This breaks down when: Everyone is claiming the same cure The product is too complex for buyers to evaluate Buying groups involve 10 to 20 stakeholders The market is crowded with indistinguishable messaging “The arrogant doctor approach struggles when complexity rises. Buyers cannot validate your claims, and every competitor sounds the same.” — Andy Raskin What Replaces the Arrogant Doctor? The Strategic Narrative Andy’s method doesn’t start with features. It starts with worldview. The 3 Core Pillars of a Strategic Narrative 1. Name the Shift in Worldview Not a competitorNot a featureNot your product A worldview. Example: Marc BenioffHe didn’t say: “Salesforce is a better CRM than Siebel.”He said:“Software is over. The world is moving to the cloud.” This is the “Darth Vader vs Luke Skywalker” moment in a business context. The villain isn’t Siebel. The villain is the old mindset. 2. Raise the Stakes (Life or Death) Narratives work when risk becomes visible. Andy compares this to Star Wars.When Luke hesitates to join Obi-Wan, something changes his emotional state: the Empire destroys his farm and kills his family. Only then does he act. In business, these stakes show up as: Market winners pulling away Internal inefficiencies becoming costly Customer expectations shifting Competitors embracing new models Example: Zuora’s “Subscription Economy”They framed a fundamental shift:Products → SubscriptionsOwnership → AccessTransactions → Relationships The stakes:Companies who don’t adapt will be left behind. 3. Define the Buyer’s Mission This is one of Andy’s most powerful concepts. Not your mission.Their mission. Examples: Zuora → “Turn customers into subscribers” Salesforce → “Embrace the cloud” Turing → “Accelerate AI research” A buyer mission is: Short Actionable Externally focused Easy to remember https://www.youtube.com/watch?v=H-P9geM9kyU Framework Template: Build Your Strategic Narrative Strategic Narrative Canvas (Andy Raskin Inspired) 1. The Shift in the World What worldview has changed? 2. The Enemy Which old mindset is holding companies back? 3. The Stakes What happens if buyers ignore the shift? 4. The Promised Land What does winning look like in the new world? 5. The Buyer Mission What must the buyer achieve to reach the Promised Land? 6. How You Help Them Get There Your product now enters the story — but only here. Why Belonging Is the Real Emotional Trigger People talk about using emotion in pitch decks, but Andy clarifies: “The core emotion behind every strategic narrative is belonging.” People want to join: A movement A new way of thinking A community of winners A shift already happening It is tribal.It is collective.It is identity-driven. Narratives that create belonging outperform feature-led messaging every time. How Modern Companies Are Redefining Their Narratives Slack Old world → internal communicationNew world → the operating system for workMission → “Work happens in Slack” Turing (Andy was involved) Old world → data labelingNew world → research accelerationMission → “Advance AI models faster with collaborative research environments” OneTrust Shift → privacy as a strategic imperativeStakes → regulatory fines, loss of customer trustMission → “Operationalize trust” Narratives Aren’t Permanent: They Evolve Every Few Years Andy used to think narratives should last 5–10 years.But now: CEOs revisit their narratives every 18–36 months. AI, geopolitical shifts, new competitors, changing buyer expectations — all these force companies to reposition faster than ever. Kabir Barday (CEO, OneTrust) returned to Andy multiple times and joked:“Maybe we need a subscription to narrative updates.” Why the Sales Deck Is the Most Important Strategic Asset Many companies hide their narrative in internal docs or messaging houses. Andy rejects this. He forces CEOs to build the narrative inside a sales deck. Why? A

Buying Group, GTM, Marketing

Diversifying GTM with Buying Groups, ABM, & Operational Excellence

Diversifying GTM With Buying Groups, ABM & Operational Excellence A conversation with Maria Thibodaux, Vice President, Marketing Strategy & Operations at Solarwinds. Executive Summary SolarWinds’ VP of Marketing Strategy & Operations, Maria Thibodaux, outlines how the company is modernizing B2B marketing without discarding proven levers. The MQL remains useful, but only as one node in a diversified system that also includes ABX and buying-group engagement, events and channel routes to market, and brand building to earn a spot in the consideration set long before form fills. The operating model leans on governed processes, interoperable tech, and data storytelling to connect disparate signals into decisions sales can act on. AI is applied pragmatically—first to reduce manual load in lead management and routing, then to pilot agents that support expansion and renewals. Throughout, sales and marketing co-own platforms and outcomes, trading “handoffs” for shared accountability. Key points at a glance MQLs evolve, not vanish: Treat them as demand capture while ABX and buying-group motions drive depth and coverage. Portfolio GTM: Balance always-on digital with targeted ABX, buying-group plays, in-person events, and channel to reach specific accounts and regions. Brand + demand balance: Protect brand investment so you are in the top-three consideration set when buyers self-educate. Data storytelling over dashboards: Custom schemas and connected data (CRM, MAP, intent, events) mirror the real GTM motion and explain outcomes credibly. Pragmatic AI: Start with high-impact efficiency (lead management, routing, follow-ups), then test agents for expansion and renewals. Tight sales–marketing loop: Marketing runs key platforms used by sales and stays engaged post-launch to ensure adoption and results. Governance matters: Standardized codes, budgets, and processes make multi-touch measurement and experimentation possible at scale. Facebook Twitter Youtube Introduction Marketing leaders today are redefining how they measure success, allocate budgets, and engage buyers. For Maria Thibodaux, Vice President of Marketing Strategy and Operations at SolarWinds, the key isn’t in abandoning legacy metrics like MQLs — it’s about integrating them into a broader, more intelligent revenue ecosystem that reflects how modern buyers actually behave. In this in-depth conversation with The Revenue Lounge, Maria shares how SolarWinds is evolving its marketing operations, blending ABX and buying group strategies, optimizing its tech stack, and leveraging AI to create a seamless bridge between marketing, sales, and customer success. From Corporate Communications to Data-Driven Marketing Leadership Maria’s career began in financial services, where she managed corporate communications before pursuing an MBA at the University of Texas at Austin. That move — and a growing fascination with data-driven storytelling — led her to SolarWinds 14 years ago. “I’ve always loved how data tells a story,” Maria reflects. “It’s not just about reporting numbers; it’s about connecting dots that influence go-to-market strategy and customer experience.” Today, Maria oversees four critical pillars of marketing operations at SolarWinds: Marketing Technology: Managing the GTM tech ecosystem and ensuring alignment with sales systems. Marketing Operations: Driving governance, budget management, and process efficiency. Marketing Analytics: Measuring digital performance and campaign outcomes across the funnel. Strategy: Leading annual planning, QBRs, and strategic alignment across the 200-person global marketing organization. The MQL Isn’t Dead. It’s Just One Piece of the Puzzle There’s an ongoing debate in B2B about whether the MQL (Marketing Qualified Lead) is obsolete. Maria doesn’t see it that way. “MQLs aren’t dead. They’re just one part of a diversified demand portfolio,” she explains. “The real challenge is not choosing between MQLs, ABX, or buying groups — it’s figuring out how to make them all work together.” At SolarWinds, the marketing team treats MQLs as the demand capture mechanism — the “always-on digital storefront” that continues to attract individual buyers. But diversification comes from layered strategies designed for deeper engagement. https://www.youtube.com/watch?v=tKUoI32hsMw Diversifying the GTM Playbook SolarWinds’ go-to-market model is primarily inside sales-driven, but diversification extends through channels, global events, and localized marketing. “Our in-person events have been a big bet,” Maria says. “They help us meet customers where they are — and that’s especially effective in global markets.” The company’s “World Tour” series brings together customers and prospects in regional hubs, driving face-to-face engagement that digital channels often can’t replicate. These events strengthen both the brand and buying-group engagement. Capturing Buying Groups Beyond the Click For Maria, the key to engaging buying groups lies in understanding their internal dynamics. “In our business, practitioners are usually the advocates,” she explains. “They drive the conversation internally, but we still need to appeal to finance, security, and leadership stakeholders.” SolarWinds uses ABX programs to engage each layer of the buying team — from hands-on IT professionals evaluating product functionality to C-level decision makers focused on cost, security, and scalability. ABM and ABX: Same Concept, Smarter Tools Maria believes the concept of ABM hasn’t fundamentally changed — what’s transformed is the tooling. “ABM itself hasn’t evolved as much as the tools that support it,” she notes. “What’s changed is how we touch buyers — more channels, more personalization, more opportunities for engagement.” The rise of intent data and signals has made ABX smarter, allowing SolarWinds to identify readiness earlier and fine-tune engagement sequences. But Maria cautions against over-reliance on automation. “Signals can get noisy,” she says. “The magic is in combining automation with human interpretation to make those signals actionable.” Buyer Fatigue and the Rebirth of Brand Building With inboxes overflowing and LinkedIn feeds saturated, buyer fatigue is real. “We see it in unsubscribes and opt-outs,” Maria says. “The automation overload has made outreach less personal, and buyers are tuning out.” SolarWinds is responding by rebalancing brand and demand efforts. While digital demand capture continues, there’s renewed focus on brand marketing, PR, and event presence — the levers that strengthen recall and trust. “Being present where customers already participate matters,” Maria adds. “It’s about showing up consistently, not just showing up when you need something.” Tech Stack Evolution: From Manual to Intelligent Maria’s team is evolving their tech stack around efficiency, automation, and interoperability. The essentials remain — CRM, ERP, automation tools — but the focus is on AI-driven optimization. “Every year it’s

gtm tech stack
GTM, RevOps

Building a Dynamic GTM Tech Stack: Foundations, Adoption & Cross-Functional Alignment

Building a Dynamic GTM Tech Stack A conversation with Jamie Edwards, Former Head of GTM Operations & Tools at Gusto. Executive summary This blog distills Jamie Edwards’ playbook for building a go-to-market stack that delivers measurable impact. You will learn how to organize sales, marketing, and customer success operations under a single RevOps structure, evaluate software by fit to process rather than hype, and design systems that seasoned enterprise sellers will actually use. Jamie explains what belongs in the CRM versus the data warehouse, how to tag buying roles for cleaner handoffs, and why perfect attribution remains unsolved but manageable with clear context. A Gusto routing case illustrates time returned to ops as valid ROI. Practical takeaways include a vendor scorecard, adoption guardrails, a write-back policy, an AI use-case matrix with human checkpoints, and a 90-day rollout plan that moves from strategy baseline to AI pilots. Facebook Twitter Youtube The Big Idea A durable GTM stack starts with a clear operating model, not with a shopping list. Integrate sales, marketing, and customer success operations under one roof, select tools to amplify what already works, design for frontline adoption, and centralize data with context so AI can enhance rather than replace human judgment.  “Start with a strategy that would still work if all the tools went dark. Then add software to amplify what already works.” Why RevOps is a Structure, Not a Label Jamie pushes back on the casual use of the term RevOps as a job title applied to everyone. In his view, only a handful of leaders truly run revenue operations end to end. Under them sit specific functions: sales operations, marketing operations, and CS operations. When these teams sit together, tool decisions get better, data flows improve, and handoffs tighten. What this looks like in practice: Marketing ops inside RevOps, not inside brand or demand teams CS ops aligned with sales ops, since account management and customer success motions mirror each other Shared system ownership and shared technical roadmap across the funnel https://www.youtube.com/watch?v=i5y4QS7qHVc Tool Evaluation: Popular Is Not a Strategy Jamie estimates only marginal capability differences among top tools within a category. The point is not to chase the flashiest features. The point is to choose the tool that strengthens your motion without breaking your ecosystem.  “There is maybe a one to two percent difference among the best tools. Buy the fit for your motion, not the sizzle.” A checklist for tool decisions: Start with your non-negotiables: which processes are proven and will not change Map the work, not the logos: define the seller or CSM job to be done step by step Score for integration first: how cleanly it writes to the CRM and to your warehouse Price the ops time: if a tool returns hours to ops and analytics, count that as ROI Decide the data home: CRM versus warehouse, avoid muddy write-backs Run a kill-switch test: if the tool disappeared, would the process still stand Creating a GTM Tech Stack From Scratch Jamie would anchor on a strong CRM, then add selectively. CRM as the operational hubThe place sellers organize their day, leaders inspect pipeline and activity, and ops runs hygiene and routing. Do not name-chase. Pick what your team can maintain. Cadence management depends on segment High velocity teams can often keep it simple in the CRM Enterprise motions benefit from cadence tools for multi-threaded, multi-meeting pursuits Delay heavy BI until the data merits itStart with CRM reporting. Add BI when cross-system analysis becomes essential. Adoption is a Product Problem Veteran enterprise sellers resist rigid sequences that ignore account nuance. Edwards’ advice is to treat sellers like artists and give them the right canvas with sensible guardrails.  “Let the artist be an artist. Provide the canvas and paint, then set guardrails.” Framework: Guardrails over Handcuffs Standardize: global steps, minimum activity baselines, shared libraries Personalize: allow custom sequences for named accounts, adjustable spacing, manual steps Instrument: capture step outcomes, replies, meetings set, conversion by step and persona Coach: use CI notes and call outcomes to tune personal cadences rather than force one pattern Checklist: Designing for Adoption Give tenured reps a custom sequence budget per quarter Add skip and pause controls tied to account context Track usage and results, then publish a quarterly “best of” library Connect sequences to calendar tasks and pipeline stages so reps do not tab-hop Avoid compliance traps that punish reasonable deviation Data Strategy: What Belongs in the CRM, What Belongs in the Warehouse Jamie cautions against dumping everything into the CRM. Storage and performance costs are real, and some AI use cases require a cleaner warehouse layer. Attribution and the “Billion Dollar” Problem Perfect attribution across MAP, ABM, cadence tools, CI, CS platforms, and CRM remains elusive. Jamie’s guidance is to be explicit about what you credit, be consistent, and document the context behind spikes and dips that models miss. Attribution Model Selector: Use last-touch for campaign optimization and in-period lift Use position-based for budget allocation across early nurture and late stage influence Use multi-touch custom for executive reporting where sales assists and partner referrals matter Always add a context note in the deck that explains macro events or GTM shifts Case Study: Dynamic Lead Routing That Paid for Itself Gusto faced complex routing logic for small businesses, with many edge cases and time-boxed SLAs. Manual bucketing by ops burned hours and slowed responses. A dynamic routing tool reclaimed that time.  “Freeing hours from sales and marketing ops is a valid ROI. Those teams are force multipliers.” ROI Calculator Template: Dynamic Routing Inputs Number of inbound leads per week Current manual triage time per lead in minutes Ops hourly fully loaded cost SLA breach rate, pre and post Outputs Hours returned to ops per week Cost saved per quarter Lift in SLA attainment and first-touch speed Expected impact on conversion to meeting The First 90 Days: A Practical Plan Week 1 to 3: Strategy and System Baseline Map current motions, identify three non-negotiable processes Inventory tools, owners, contracts, write-backs

GTM, RevOps

A 30-60-90 Day Playbook for First-Time RevOps Leaders

A 30-60-90 Day Playbook for First-Time RevOps Leaders A conversation with Hassan Irshad, Director of RevOps at FEVTutor. Revenue Operations (RevOps) isn’t just a support function anymore. It’s the strategic engine that powers alignment, productivity, and visibility across the go-to-market (GTM) teams. And for first-time RevOps leaders stepping into the role, the first 90 days are absolutely critical. Your success depends on how well you can listen, diagnose, align, and act. In this deep-dive, Hassan Irshad—former Director of RevOps at FEVTutor and a veteran in building RevOps functions from the ground up across multiple B2B SaaS organizations—shares a tactical, proven playbook for the first 90 days in the job. Structured into three phases, this playbook helps new leaders set up a high-impact, scalable RevOps engine. Facebook Twitter Youtube Phase 1: The First 30 Days — Discovery and Trust-Building Hassan calls this the “Discovery Phase,” and it’s arguably the most important segment of your 90-day plan. Here, the goal isn’t to solve every problem. It’s to understand the lay of the land, build stakeholder trust, and uncover real pain points. “Think of yourself as a doctor. If you don’t listen well enough, you’ll misdiagnose the pain.” Start by meeting with stakeholders across departments: Sales, Marketing, Customer Success, Finance, Product, and HR. Identify their KPIs, their blockers, and their goals. Create a document that captures all your findings—Hassan refers to this as the “Lay of the Land” doc. At the same time, shadow end users. Sit with BDRs, AEs, and CSMs. Watch how they use tools. How do they enter data? Where do they get stuck? Walk through your CRM. Is reporting intuitive or a tangled mess? Don’t stop there. Run a detailed tech stack audit. Map every tool in the ecosystem. What integrates with CRM? What’s shelfware? What’s overused or underused? Hassan emphasizes talking to users, not just system owners. You should also: Immerse yourself in the product: attend demos, listen to sales calls. Map existing processes: selling, onboarding, renewals. Identify low-hanging fruit for early wins: improve field logic, add help text, or train users on hidden CRM features. Key Objectives: Establish trust Conduct a stakeholder audit Perform a tech and process audit Map current workflows Identify quick wins 💡 Action Items: Task Description Stakeholder Interviews Meet leaders from Sales, Marketing, CX, Finance, HR, and Product. Understand their KPIs, pain points, and top priorities. Create a “Lay of the Land” Document A central repository of org structure, current GTM processes, key workflows, and metrics. Shadow GTM Teams Sit with BDRs, AEs, and CSMs to understand how data is entered, how tools are used, and where bottlenecks occur. Tech Stack Audit List every tool in use, usage rates, integrations, costs, redundancies, and gaps. Process Mapping Map the end-to-end selling, marketing, and renewal processes. Identify handoffs, duplication, and inefficiencies. Product Immersion Attend a demo, listen to sales calls, and understand the sales pitch and product-market fit.   ✅ Quick Wins Template: Win Type Example Usability Fix Clarify error messages in CRM workflows Dashboard Build Build a simple commissions dashboard for reps Training Conduct a quick session on a misunderstood feature Phase 2: Days 31-60 — Alignment and Control This is the phase where you start “flexing your RevOps muscles,” as Hassan puts it. While discovery continues in some areas, you now begin putting controls and alignment mechanisms in place. Hassan calls this phase “Alignment and Control.” “You need to be the catalyst for cross-functional collaboration. Nobody else is connecting the dots across sales, marketing, and CX.” Start with KPI alignment. You’ll have already collected the individual KPIs in Phase 1. Now, assess whether those KPIs roll up into the broader company strategy. If they don’t, that’s a red flag—and your opportunity to bring the teams together. Hold cross-functional syncs to align Sales, Marketing, and CS around shared quarterly goals. Create dashboards and reporting frameworks that reflect this shared accountability. Also, start implementing operational controls: Are close dates in CRM accurate? Is forecasting behavior consistent? Are stage definitions clear? Don’t impose controls abruptly. Hassan suggests using logic and transparency. Example: If a rep uses spreadsheets to track deals, propose a CRM-based inline-editable report that feels like a spreadsheet but ensures visibility. And begin vetting your tools: Is a forecasting tool duplicating features available in Salesforce? Are reps logging into a tool? Can licenses be consolidated? Key Objectives: Improve GTM team collaboration Put control mechanisms in place Begin strategic alignment Validate process improvements 💡 Action Items: Task Description Cross-Functional Alignment Facilitate regular syncs between Sales, Marketing, and CX to align on quarterly goals. KPI Rationalization Align individual department KPIs with the company’s strategic objectives. Identify siloed or conflicting goals. Governance Setup Define request intake processes, project documentation standards, and response SLAs. Control Implementation Use logic and data to drive compliance (e.g., inline editable reports to update close dates instead of spreadsheets). Change Management Prep Identify stakeholders who will sponsor or resist change. Begin conversations to create buy-in. https://www.youtube.com/watch?v=sVDJ9KI1tGw&t=1343s Phase 3: Days 61-90 — Vision and Execution By now, you’ve earned trust, understood the landscape, and started building momentum. Phase three is about turning that momentum into long-term strategy and execution. Hassan calls this the “Vision and Execution” phase. “You’re now setting the foundation for your long-term roadmap. Think beyond tickets—think strategy.” At this point, you should be ready to publish a two-quarter RevOps roadmap. This roadmap includes: Strategic initiatives tied to revenue goals Operational improvements already underway Planned enhancements to the tech stack This is also the time to start tracking and showcasing impact. Go back to the baselines you gathered in Phase 1. Show how time-to-insight improved, or how a forecast accuracy initiative reduced missed commits. Make your work visible. Remember, this is also where change management becomes critical. Stakeholders may resist new processes. Hassan advises using your discovery-phase insights to preempt resistance. Understand their motivations and frame changes as value drivers. Key Objectives: Publish a roadmap Begin implementation Showcase wins Plan for continuous improvement 💡 Action Items: Task Description Publish a RevOps

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