Pocus

AI killed a lot of basic prospecting email template. And we’re glad. No one wants to see another “congrats on the new funding round” or “saw you also went to XYZ school” emails in their inbox. Doing the bare minimum research on LinkedIn and firing off a bunch of emails is the fastest way to get IGNORED. Kyle Asay (LaunchDarkly) has the antidote. Go way deeper than surface-level LinkedIn stalking. "Using basic publicly available information alone to try to get to the executive level is not going to happen anymore because every email with an AI tool is referencing that same point of view." Kyle's solution: The 3-Layer POV Pyramid 🔺 LAYER 1 || Public Information (Foundation) 10Ks, recent news, podcasts,  company websites, etc. LAYER 2 || Conversation-Driven Intelligence (The Game Changer) Cold calls to middle management and BTL contacts to uncover specific project names, KPIs, internal goals - things you'll never find on LinkedIn. 🔮With this week’s launch you can now access these rich insights in Pocus. LAYER 3 || Executive-Ready Point of View Combine layers 1 + 2 into a compelling narrative that references actual conversations. ----- The transformation: ❌ "Hey, I saw you went to Stanford too..." ✅ "I spoke with Jen and Stephanie, learned that you have this goal outcome and you're currently getting stuck in this area. Here is a customer story." Bottom line: Basic LinkedIn research is now commoditized. Every rep does the same 60-second profile scroll. The reps who win are the ones willing to do the human intelligence work that AI can't replicate. That level of POV now stands out - but you're not going to get it from skimming someone's LinkedIn profile. Watch Kyle's full framework: https://xmrrwallet.com/cmx.plnkd.in/erTrkYPr

In a world full of generic signals. Chase something more unique. Excited to share a big update to Pocus AI You can now ingest Gong call recordings, CRM notes, emails, and activities in Pocus to unlock a goldmine of signals trapped within your internal data sources. ✨ What's new: 1/ Direct ingestion of Gong call recordings, CRM activities, and email threads 2/ AI-powered deal context summaries that extract what actually matters 3/ Ask AI questions about account history with full conversation context 4/ Auto-generate handoff summaries that preserve relationship nuance 5/ Surface insights like competitive mentions and deal risks from conversation history What this means for you 👇 ✨ Unified Account Intelligence - Get full context from Gong recordings, CRM notes, and emails COMBINED with other external signals about an account in one place ✨ Deal Context Cards - AI-powered summaries that can be used to highlight competitor threats, analyze closed lost reasons, highlight action items, and more ✨ Seamless Handoffs - Automated context for SDR→AE and AE→CSM transitions ✨ Faster Ramp Time - New account owners get instant access to relationship history No more "let me catch up on this account" or awkward handoffs that miss critical relationship nuances. Ready to give your team the full account story? 👉 Book a demo: pocus.com/demo

Transform RevOps from order-taking to strategic leadership 🎯 Meet Avtar Varma, VP Global RevOps at Benchling - the master of turning data into strategic recommendations without falling into analysis paralysis. Avtar's built RevOps from scratch at four different companies and has cracked the code on making RevOps a true growth driver, not just a support function. What you'll learn: ✅ How to position RevOps as a strategic partner to leadership ✅ Building data systems that drive decisions (not just dashboards) ✅ The art of turning operational insights into revenue growth ✅ Scaling RevOps processes without losing agility If you're tired of RevOps being seen as "the spreadsheet team" and want to drive real business impact, this AMA is for you. DETAILS:  📅 Tuesday, August 13 ⏰ 10:00 AM PT / 1:00 PM ET Register: https://xmrrwallet.com/cmx.plnkd.in/euivnh9P

"Hey, I just noticed you were on our website" 🤦♂️ This is exactly what's wrong with how most teams use signals, according to 🔌 Andy Mowat from GTM Fund. Andy surveyed 40 GTM leaders about third-party intent signals. Only ONE had successfully operationalized them. The problem? Everyone gets excited by the demo: "Oh cool, here you can see people searching for your stuff!" But then what? You email someone's CEO saying "I noticed you were on our website"  and they think "God, this is annoying. I was checking out one thing that had nothing to do with buying." Andy's advice? Master the basics first: 🎯 Website visitors - Do you actually know who visits your site when they don't fill out a form? 🎯 First-party signals - Are you even chasing the easy signals you already have? 🎯 Execution over acquisition - How can you do better with existing signals before buying more? The hard truth: "I don't think I'm losing a lot of sleep over 'do we have more signals.' It's more like, how can we do better with the signals we have." There's a real art to capitalizing on signals and being innovative with messaging. Stop chasing shiny new data sources. Start operationalizing what you already have. Want more advice like this? Join our LIVE podcast recordings. Happening (almost) every week. Tomorrow we have Peter S. Borkovich, VP Revenue at Vidyard. Join us: https://xmrrwallet.com/cmx.plnkd.in/ek64bTpD

Just saying you want reps to mine “buying signals” isn’t enough Throwing every signal at your reps won’t help them prioritize better It may make things worse in fact Frank's solution? Build what he calls an "Insight Hierarchy" - a ranked system of buying signals that actually matter Here's how it works: 🎯 Top Tier: The golden signals (hard to get, massive value) At Datadog: Customer cloud spend At Salesforce: Number of sales reps Your version: What's the ONE metric that predicts buying intent? 📊 Middle Tier: Behavioral indicators Project activity this quarter Technology stack changes Team expansion signals ⚡ Bottom Tier: Engagement signals Content consumption Website activity Event attendance The magic happens when you: 1/ Build digital collection systems for these signals 2/ Auto-update account status / readiness by aggregating these signals 3/ Alert AEs when buyers are truly in-market 4/ Provide context for the "baton pass" As Frank puts it: "Smart companies right now are making that list... they're going to be way ahead of things." What's your company's #1 buying signal? 👇

🔥 Three incredible GTM leaders. Three game-changing AMAs coming up. Ready to level up your revenue strategy? Here's what's on deck: #1 Peter S. Borkovich (VP of Revenue, Vidyard) - August 5 Master the "Do More with Less" framework that's helping revenue leaders thrive in today's challenging environment. Peter's sharing his 20+ year playbook from Salesforce, InVision, and Yotpo on building anti-fragile revenue systems and deploying AI that actually moves the needle. #2 Avtar Varma (VP Global RevOps, Benchling) - August 13 Transform RevOps from order-taking to strategic leadership. Avtar's built RevOps from scratch at four different companies and has mastered the art of turning data into strategic recommendations without falling into analysis paralysis. #3 Danielle Peretore (Head of Business Operations, Figma) - Coming Soon  Get insider perspectives on scaling operations at one of the world's most influential design platforms. Each session is packed with frameworks, real examples, and actionable insights you can implement immediately. Which topic are you most excited about? 👇 === 📅 Peter - August 5 @ 9:30am PT 📅 Avtar - August 13 @ 10am PT 📅 Danielle - August 20 - Details dropping soon Register: https://xmrrwallet.com/cmx.plnkd.in/etuYERfp

"The growth at all costs era is dead" 💀 Yes. Even when it seems like every AI company has unlimited capital. The burden to build a REAL business is well…real. Our next podcast guest is Peter S. Borkovich, VP of Revenue at Vidyard. He’s been there, done that. 20+ years of experience. Vidyard, Salesforce, InVision, and Yotpo. He's seen the playbook shift firsthand. The old Oracle methodology? "Hire salespeople, they will build pipeline, the numbers will work out." That worked great when money was free and we had the SaaS explosion through 2021. Then it all blew up. Now the smartest companies are flipping the script entirely: How much pipeline can you sustainably build per head? What does productivity-first growth actually look like? Join us for a brutally honest AMA where Peter will share: ✅ How to run teams "hot" without burning out ✅ Why pipeline can become a vanity metric and what to measure instead ✅ AI investments that move the needle vs. million-dollar ROI traps Come ask Peter your toughest questions LIVE. === DETAILS 📅 Tuesday, August 5 ⏰ 12:30 PM PT / 3:30 PM ET 🔗 Register: https://xmrrwallet.com/cmx.plnkd.in/ek64bTpD

Your marketing team spent 3 weeks A/B testing subject lines. Your competitor shipped their campaign in 2 days and crushed their targets. Which approach wins in 2025? According to Stef Miller, Global Campaigns leader at Udemy, the obsession with being "data-driven" is actually slowing down high-performing marketing teams. Her take: Sometimes gut beats graphs. We're hosting Stef for a live AMA where she's sharing the frameworks that helped her scale marketing teams from 2 to 50 people across companies like Facebook and US Bank. What you'll learn: ✅ When to trust intuition over analytics ✅ Why alignment culture kills momentum (and what works instead) ✅ How to give feedback that elevates vs. destroys creativity ✅ The unexpected skills that separate good marketing leaders from great ones JOIN US LIVE TOMORROW 👇 Weds July 30 @ 10 am PT / 1 pm ET Register: https://xmrrwallet.com/cmx.plnkd.in/eHxcwEtn

I’ll be fully honest. My first few months of SDRing at Pocus felt like shooting in the dark. It was my first time doing outbound. First time in B2B. And first time in the AI sales space. You’d think it would all collapse into a perfect storm. And well, it kind of did. My ramp wasn’t just about learning how to outbound in the AI sales space, it was about learning to outbound - period. All while learning the product itself and helping build Pocus for Pocus into what it is today. You may be thinking…out of over 600 applicants, how’d she end up at Pocus? I’m nobody special but I understood that… Ironically enough, what stands out in AI for sales isn’t just about what the newest tech can spin up. It’s the human that uses it. And having the kind of leadership that rallies behind your crazy experiments and relentless belief that one day - you’ll get that dang “yes”. (s/o 🔮 Sandy Mangat and Alexa Grabell) I’ve booked meetings with Directors and VPs at “sexy” enterprise logos with over 10,000 employees, the kind that had our Head of Sales do a double take when he saw it on his calendar. I’ve had multiple SDR Directors come into the call and ask the AE the same question, “How did your SDR figure out it was a good time to outbound me?” Here’s how: surprise surprise…Pocus! More on that coming soon… The human element of AI in sales stands out like no other. So whether it’s calling your fellow SDRs/AEs to learn more about the account from all perspectives to attending in-person events like GTM + AI (s/o Chris Balestras + Julian Sheinbaum) to connect IRL. P.S. We’re hiring SDRs at Pocus! Come work with me!

ICYMI: Last week we launched AI-Powered Scoring - the first LLM-powered lead scoring model built specifically for GTM teams 🚀 Here’s why it’s different: ✨ AI builds your model Our LLM assistant creates your scoring through conversation in minutes. No spreadsheets, no data science degrees, no months of setup. ✨Explainable in plain english Get A-F grades that actually mean something. Hover over any score to dive deep into why an account has intent or has recently surged. Make it easy for reps to know how to take action. ✨ Real-time signal updates Scores change as signals change across all data sources (1p, 3p, and custom AI research). New funding? Website surge? Job postings? Your scores update instantly and surface "surging" accounts. === The result? Sales teams are finally focusing on accounts that matter, catching prospects at the perfect moment, and understanding the story behind every score. Ready to ditch meaningless scores for intelligent grades? 👉 See AI Scoring in action: pocus [dot] [com] [slash] demo