Sameer Barde

SDRs are the backbone of every sales engine—but outdated scripts, vague processes, and one-size-fits-all outreach leave even the best SDRs frustrated and prospects cold. If your SDRs aren't hitting quota, this blog explores what makes a winning SDR strategy—from precision targeting to hands-on enablement—and demonstrates how a modern, growing playbook can open motivation, pipeline growth, and increased revenue. Check out: https://lnkd.in/gJgJG6QP #SDR #SalesDevelopment #SalesLeadership #PipelineGrowth #B2BSales #SalesPlaybook #BeyondCodes #SalesStrategy #ModernSelling

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Bad data costs companies $12.9M per year. 🤯 It clogs your pipeline, misroutes leads, and slows every GTM motion. The best teams aren’t just cleaning data. They’re operationalizing it with Data-as-a-Service to improve routing, power segmentation, and drive conversion. Read how top GTM orgs are doing it: bit.ly/4e7fOvz

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We pulled data from 224 B2B SaaS companies to answer one simple question: What actually makes a lead convert? The answer surprised us...and it changes how GTM teams should think about pipeline. We put everything into a new research report: “What Does It Take for a Lead to Convert?” Check it out below or via the link in the comments.

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Bad data doesn’t usually come from bad tools. It comes from misalignment. In the latest RevOps Lab Podcast, our own Spencer Hardey, MBA breaks down how unclear definitions quietly derail GTM execution. They talk about: - Why data quality is an alignment problem - How broken ICPs and segmentation create GTM friction - The hidden “executive tax” of conflicting reports - Early signs your teams aren’t operating in the same reality If you’re in RevOps, this one’s worth a listen. Catch Spencer’s conversation with Janis Zech and Philipp Stelzer of Weflow on Spotify: https://lnkd.in/giSXnpZ7

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Anrok generated $300K in pipeline in 3 months by unifying marketing and sales outbound in Unify. Here's the playbook growth marketing lead Kathleen Kong, and founding SDR Rydian Searles used to make it happen:   Anrok was growing fast. But before Unify, their outbound was fragmented. Kathleen was running marketing campaigns in HubSpot, but every new campaign took forever to build, and segmentation was painfully slow. Rydian's SDR team was worse off, switching between 3 different tools to execute every sequence.   "We had the growth and the signals," Rydian said. "What we needed was a system that helped us act on them."   There was only one answer.... Unify. Kathleen started by building automated plays targeting new hires, website visitors, and accounts showing sales tax exposure via AI signals. Once marketing proved the model worked, they expanded Unify to the SDR team.   Suddenly, both teams were operating on the same page. Campaigns could be built 20% faster, SDRs could work 4X faster, and cold calls converted better with out-of-the-box AI insights.   This made it easy for Kathleen & Rydian to support Anrok's growth and expansion into new markets; easily spinning up new sequences without rebuilding a single workflow.   Kathleen summed up their experience best: "Unify gave us the flexibility to run everything in one ecosystem. We could move fast, measure impact, and stay aligned."   Ready to follow Anrok's lead and unify your teams? Use the link below to learn more.

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How do you prepare reps for the real pressure of a live discovery call? Nathan Irby at Snowflake put Yoodli to the test: ✅ Uncovering a customer’s architecture in real time ✅ Whiteboarding while screen sharing ✅ Asking smart questions to extract technical details ✅ Staying professional under pressure His takeaway: this is the closest he’s seen to replicating the real challenges of technical discovery. With Yoodli, teams can practice those skills—before it really counts. https://lnkd.in/g8QEK4yr

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The secret to scaling AI in GTM? Don’t start with automation. When Brian Aoyama, Head of Marketing at MedScout rolled out AI in their sales motion, they kept it manual on purpose. They asked reps to copy/paste transcripts into Claude. Test prompts. Give feedback. Repeat. The result? A 35-page super-prompt that outperformed market tools, and a team that trusted the output because they built it together. Before you automate, prove it works manually. We've created a playbook to guide you through the process. 👇

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GTM teams spend $$$ driving traffic to their websites. Yet average conversion rates? Below 3%. That means 97% of your hard-earned traffic leaves without taking action. Why? Because there’s a gap between browsing and booking a meeting that most websites can’t bridge. SchedX is changing that. SchedX talks to your website visitors live, answers questions on your product, qualifies leads, books meetings with them, and routes them to the right sales rep. Ready to 2x your website conversion rates? Learn more about SchedX: https://lnkd.in/gGAaDwbE #AIInboundSDR #InboundSales #Inbound #AIinSales #BookedMeetings #WebsiteAI #NoChatbots

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Data is what's going to power your GTM strategy. As Brian Aggerbeck (VP of Professional Services at Cognism) shares on The RevOps Review, your data infrastructure isn't just a support function - it’s the foundation of modern go-to-market. It's about creating a seamless stream of information that's fast, centralised, and embedded where your teams already work. This episode covers: • How Data-as-a-Service helps enterprises build centralised architectures • Why less tooling = more focus • What AI-readiness actually looks like in practice 🎧 Listen now: https://lnkd.in/eGVVtS4S

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2026 Forecasting for PE-Backed Tech CROs- I scouted some top CRO's to see if I could gain some key points to help other CRO's during these planning days for 2026. JD Miller reminds us: “Forecasting’s like Goldilocks you don’t want it too hot or too cold. Accuracy fuels better planning and better decisions.” For 2026, keep it simple: 1️⃣ Ground forecasts in real data (win rates, ramp times, churn). 2️⃣ Break revenue into clear streams such as new logos, upsell, pricing, and launches. 3️⃣ Use a 3-tier model: Committed, Forecast, Best Case. 4️⃣ Inspect weekly with flash reports to catch misses early. 5️⃣ Reward accuracy because consistency builds trust. 👉 In PE-backed tech, forecasting isn’t just planning, it’s proof you can deliver. Hope this helps, even if its a reminder of what we already know! If you have any useful tips for forecasting please add them in comments for everyone to see. 👍

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Practice isn't enough. SaaS sales has transformed. Has your enablement strategy? Your reps aren't practicing wrong. They're practicing irrelevant scenarios that ignore today's multi-stakeholder reality. While competitors run another objection handling workshop, revenue leaders are building AI simulation engines that predict and prevent deal failure. The results speak for themselves. Leaders aren't just adopting AI role-play. They're weaponizing it. ✔️ They're generating practice scenarios from real lost deals. ✔️They're tailoring simulations to each rep's actual pipeline. ✔️They're using practice data to predict which deals will stall weeks before they do. This isn't training. It's transformation. The future of enablement isn't more content. It's better context. Swipe to see why AI role-play is your missing revenue system. #SalesEnablement #SaaS #AIinSales #RevenueGrowth #RevenueEnablement

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The MEDDICC Playbook is your step-by-step guide for winning execution - real plays built around MEDDPICC as a common language to help GTM teams align, take action, and win. During MEDDICON 4, Pim and Jess broke down their first play - Using M1s on your website. This was an example of how marketing teams can use MEDDPICC to better position value - turning hard-to-find success into something repeatable and predictable 🏆 🎥 Watch it here: https://lnkd.in/eKBRhwV4 The MEDDICC Operating System (mOS) already features 9 powerful plays - with many more on the way! 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗠𝗘𝗗𝗗𝗜𝗖𝗖 𝗣𝗹𝗮𝘆𝗯𝗼𝗼𝗸 𝗶𝗻 𝗺𝗢𝗦 𝘁𝗼𝗱𝗮𝘆. Link in comments 🔗 #LinkedInLive #SalesStrategy #GoToMarket #MEDDIC #B2B

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Thinking of making the switch from operations to GTM in enterprise SaaS? You might be sitting on the most underrated superpower in the SaaS world. 💡 OPS professionals already know systems, scale, and metrics — the exact things GTM teams struggle to master. Now add this: > Higher compensation > 2.5x faster path to VP/CXO > Equity + bonus potential GTM roles contribute up to 40% of the talent demand in growth-stage SaaS. This isn’t just a pivot. It could be your career unlock. Would you make the jump? 👇 #SaaSIndia #GTMcareers #OpsToGTM #SaaSHiring #CareerSwitch #EnterpriseSaaS #B2BTech #GTMIndia

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Box CEO Aaron Levie spoke with Matthew Berman at BoxWorks about how to effectively incorporate agents into business workflows while avoiding "context rot." The key? The underlying deterministic guardrails in which the agent can operate. As Levie put it: "If you want to run a workflow thousands of times per day or tens of thousands of times per week or month, you want the agents to do as much of the same thing as possible each time, but you want them to operate within the confines of different steps in a business process." That's what Box Automate, announced at BoxWorks, enables. Automate lets you define business processes in a workflow builder, then drop in agents at any point in the process where you want an agent to do the work. "It's really an agentic workflow automation system that is all about automating work around unstructured data at scale." Watch the full conversation here: https://lnkd.in/gzKyEbJm

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AI isn’t your silver bullet for home care but it will save your margins if you know how to play it. 👉 Instant analytics without waiting on BI 👉 Readmission data (the metric everyone’s watching) 👉 Partners securing their reimbursements 👉 Your agency as the obvious choice That’s the real scorecard. Chopped it up with Steven F. Gonzalez on turning raw data into personalized insights that actually fit client needs. Is your data working for you or against you?

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Short-term rental software has evolved from calendar sync tools into full operating systems. The right platform in 2026 doesn’t just prevent double-bookings. It manages pricing across 60+ channels, handles guest communication at 2am, and generates owner statements without spreadsheet gymnastics. A bad fit creates more work than it solves, or forces an expensive migration when you outgrow it. 👀 Check out the full guide, where we break down five leading platforms, what they actually do well, and which operator profiles they fit: https://lnkd.in/dyDMcvU7

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Consent only works if your platform does. And not all CMPs are built for enterprise-level pressure. The latest G2 Grid Report breaks down how the major players actually perform where it matters—implementation, usability, scalability, and real user outcomes. If you’re evaluating your CMP stack (or planning to in 2025), this report gives you the data that your internal stakeholders will actually trust. A better consent strategy starts with better information.

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