Sam Arnold

When agents can talk directly to your apps through an MCP server, everything changes. Instead of a human jumping between Salesforce, Airtable, etc... an agent can do it autonomously: Summarize call transcripts for target accounts from Gong Pass those summaries to Inflection to create custom segments Draft a target account campaign based on these custom segments No brittle integrations. No copy-paste workflows. No “please log in and click this button.” The agent just acts — safely, deterministically, and across systems via multiple MCP servers.

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Dialler Infrastructure, Compliance & SDR Efficiency — Field Notes from a Recent Roundtable As pressure builds to do more with less, revenue teams are re-examining the dials behind the dial: what tools actually connect, what workflows scale, and what practices stand up to scrutiny across global markets. An independent session this week brought together GTM leaders and RevOps to compare experiences. Key signals below — zero hype. Infrastructure > InterfaceMost diallers rely on third-party carriers (Twilio, Bandwidth, etc.). That means performance is often a black box — with up to 9 carrier-level hops before a call connects or fails. Ask your vendor: • Who controls your carrier infrastructure? • Do you monitor and manage spam flagging? • How much of the stack is built vs. borrowed? Sentiment: ConnectAndSell vs. Parallel DiallersIn regulated markets — think DACH, Southern Europe, and parts of APAC — ConnectAndSell stands apart. Human-assisted outreach avoids early recording, navigates switchboards, and clears legal reviews (including German works councils and corporate counsel sign-off). It’s not built for volume blitzing. But it is built for trust and precision. By contrast, US-style parallel diallers (Nooks, Orum) perform well in North America. Outside that, success is patchy — particularly where recording or line spoofing laws require careful handling. Call Behaviour Still Matters • Office lines are making a comeback. Teams training SDRs to navigate reception outperform those relying on scraped mobiles. • Persistence wins. Most meetings are set on the 2nd, 3rd or even 7th attempt. One-and-done is a mindset issue, not a strategy. Common SDR Time-Wasters • ‘Admin’ that’s really last-mile enrichment • Tool fatigue and constant context switching • Overthinking messaging mid-sequence Solutions: Pre-enrichment, tighter call blocks, cleaner workflows. Compliance as a Competitive Advantage Navigating regulated markets isn’t just about avoiding penalties — it’s about gaining access. • Human-led calling = better deliverability + legal clarity • Early recording and heavy automation = red flags in some jurisdictions • Local trust matters — especially in multi-region GTM Final Word: Don’t be distracted by dashboards. Focus on infrastructure, behaviour, and legal fit. Velocity is great — until it trips compliance. Sometimes the best strategy is to slow down just enough to land the call and keep the door open. — If your dialler strategy needs pressure-testing — or you’re balancing multiple regions with mixed results — happy to compare notes.

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EVERY ZoomInfo customer can connect Claude and ZoomInfo together right now- but how about in Slack ? With Claude? Here’s how to build a targeted prospect list and account plan without leaving Slack. (In <5 minutes) Step 1: Ask Claude directly inside Slack to build you a list I asked for… “25 CROs and VPs of Sales based in Boston, at software companies between 500–1k employees, with $100M+ in funding. Name, title, email, mobile, total funding.” It taps straight into your Zoominfo database and all comes back right there in the channel. It even flags who is on your do not call list. Step 2: Pick an account. Ask Claude to prep you for the call, directly in Slack. It uses Zoominfo to pull every conversation you've had with them - calls, emails, pain points they've raised, products they use. It comes back with the leadership you NEED to know, what's happening at the account right now and specific angles that could help you win. This works inside Claude too when you connect it up to our MCP server - you can even ask it to build you a custom interface to sort, edit, and work the data however you want. Zoominfo is going to show up EVERYWHERE. Slack, Claude, wherever you're doing GTM work, your data should follow you there. Every ZoomInfo customer already has access to this - connect ZoomInfo to Claude here: https://lnkd.in/eM-UbCJt

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Cold Calling Strategically into your Enterprise Accounts based on n=1bn calls C-Suite Execs will Pick Up. Sometimes More Than VPs Think top executives never answer cold calls? Myth busted. Orum’s billion-call study found C-level executives answer about as often as anyone else: 4.0% Connect Rate on average (4.5% for Finance Execs). VPs are hardest to reach with the Lowest overall Connect Rate. And who picks up the most? Front-line folks (ICs) at ~5.3% overall – with standout groups like Sales at 7.6%. Takeaway: Call up and down your accounts. Individual Contributors for research... and Don’t shy from calling high (CXOs do answer!), but multi-thread your approach. Start conversations at the ground level to gather pain points, then use those insights to engage the VP and C-suite. Data: Orum 🥇 “State of Cold Calling” report (Link in Comments) #SDR #ColdCall

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I’ve helped dozens of AEs and SDRs transition into SE/SC roles. There’s no doubt that you can earn a lot as an AE. AEs can make $1,000,000+ in a good year - a very lucrative career path. But the reality is most AEs don’t get there. It takes exceptional skill, timing, and a bit of luck to perform at that tier consistently. (I personally would be a terrible AE 😅) That’s why many folks choose to pivot into Sales Engineering - where the earning potential is still strong, but far more consistent. That’s what the data in the image shows: AEs: 36% SEs: 74% (Same company, similar OTEs) As an SE, you don’t always have the extreme upside that your AE counterpart will, but your income is more stable. (*there are some companies that pay SEs similar to AEs, with SEs able to clear $1M+ in a great year, though this is more of the exception than the rule) As an SE, there’s also less pressure to hit quota, quarter after quarter. The roles are different, with different responsibilities and varying degrees of risk (and upside). Both paths can provide tremendous opportunities, depending on your strengths and the type of work you enjoy. Hope this provides some perspective for those who are considering SE or AE career paths.

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🤝 Pumped to officially share our Consensus partnership with Gong 💨 Sales teams want to move fast. Presales teams need consistency and control. Too often, those goals compete. This partnership fixes that. 🕣 We are creating intent and buying signals across synchronous and asynchronous buying motions like never before! 🔗 With Consensus + Gong, reps can build and send personalized, presales-approved demos directly inside Gong—and everyone gets visibility into what buyers actually engage with. 🚦Less friction. Better signal. Stronger follow-up. 🙌 This is what a modern revenue workflow should look like. Excited for what this unlocks for our teams and our customers. Huge thanks to Patrick Burke and the whole Gong team for their collaboration, imagination and a genuine desire to deliver the revenue engine of the future. I’m delighted Let’s go Deirdre Sweeney

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Most RevOps frameworks treat CS like a support function, but if you're serious about NRR, that mindset is costing you real growth. You can’t optimize revenue without operationalizing Customer Success. CS isn’t adjacent to RevOps. It is RevOps, just downstream. 💸 Sales drives new revenue 📈 Marketing drives pipeline 🛠 CS protects and expands what everyone else worked to win Yet most RevOps teams stop at Salesforce dashboards and lead scoring. They don’t model things like: ~ Time-to-Value velocity ~ Expansion-readiness signals ~ Churn risk by lifecycle stage ~ Confidence decay across roles ~ CS-sourced pipeline That’s not RevOps. That’s lead-to-close ops. At ChurnPilot, we treat CS as a revenue multiplier inside the RevOps stack. This is what happens when you operationalize CS alongside Sales and Marketing. ✅ Expansion becomes forecastable ✅ Playbooks trigger off leading indicators, not lagging churn events ✅ CS becomes a signal-generating machine, not a retention band-aid The result? Revenue doesn't just grow, it compounds. If your RevOps model ends at onboarding, you’re not optimizing revenue, you’re optimizing for churn. 🚨 Is your RevOps motion including CS data, signals, and strategy? Or are you still treating retention as a “post-sales” problem? Curious how others are tackling this. Let’s trade notes. 👇

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