Sandra (Abdelmalek) Botros

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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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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🤖 AI Sales Chatbots Are Quietly Rewriting Revenue Teams Sales teams don’t lose deals because of weak products. They lose them because follow-ups are slow, leads go cold, and conversations stop too early. That’s where AI sales chatbots are stepping in. From inbound qualification to outbound follow-ups and pipeline nurturing, tools like: Conversica, Cresta, RoundView, BotUp, Landbot, Data Semantics, Kindly, Sanuker, Chatfuel, Ringy, Cliengo, Hyly.AI, BotBuilders, WotNot, Chatbot, Alan AI , Chatchamp powered by trbo, Instabot.io, Floatbot.AI, SMOC.AI, Yosh.AI, Konverse AI, 247chatapp, Forethought, Nurture.AI, Smartsupp, Certainly, Sonar, Hachly, and Hao at Chatsimple undefined are helping teams respond instantly, qualify better, and sell at scale—without burning out reps. What’s changing: • AI never misses a lead • Conversations run 24/7 • Qualification happens before humans step in • Sales teams focus on closing, not chasing The real shift isn’t automation. It’s timing, relevance, and consistency at scale. 👇 Want to see which AI sales chatbots fit your use case and budget? Explore a curated comparison with features, pricing, and best-fit recommendations: 👉 Visit the landing page: https://lnkd.in/guPPDm_5 Foundevo Foundevo Newsletter: Scale your startup with the latest in AI, tech, funding insights, and growth hacks. 👉 Subscribe: https://lnkd.in/greRFqEU #AISales #SalesAutomation #AIChatbots #RevenueTech #SaaS #SalesTech #B2B #Founders #GrowthTech

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Insightful perspectives from Kevin Jordan, Stephanie Richman, Tim McGee and Bryce Williford, CSCP on how leading organizations are transforming their revenue strategy with the Gong Revenue AI Operating System. Top performing teams are closing more deals with AI-driven insights, driving measurable productivity across functions, and turning data into strategic action. These are not just case studies, they’re proof points from forward thinking companies redefining revenue excellence. https://lnkd.in/g_q5E3m2 #RevenueIntelligence #AI #SalesLeadership #Gong

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Your SDR team can't scale outbound because personalization breaks at volume. Writing custom emails for 200 prospects weekly is humanly impossible. So reps make a choice: send generic blasts that get 2% response rates, or cherry-pick 30 high-value accounts and leave pipeline on the table. Both options lose. The first trains prospects to ignore you. The second caps your growth at however many personalized touches one human can produce daily. The constraint isn't effort. It's that real personalization requires research, context synthesis, and message adaptation for every single prospect. Most teams can't operationalize that at scale, so they default to templates with merge tags and call it "personalized." Prospects see through it immediately. Enter This Week's Featured Agent: AiSDR AiSDR removes the personalization constraint entirely. It handles prospect research, contextual message writing, response management, and meeting coordination as a complete workflow. The agent researches each prospect across 323+ data sources, including recent LinkedIn activity, company news, job postings, tech stack changes, and funding rounds. It then writes messages that reference specific business context rather than generic pain points. When prospects reply, AiSDR responds within 10 minutes. If someone says "we're focused on other priorities right now," it doesn't mark them closed-lost. It schedules a follow-up for when their roadmap likely shifts. When they ask technical questions, it provides specific answers and moves the conversation toward a demo. When they raise objections, it handles them using your company's playbooks. The agent operates from your actual inbox through Gmail or Outlook integration, learns your messaging patterns through its persona builder, and maintains consistent positioning across every interaction. Your reps stop spending hours on email composition and sequence management. They focus on the conversations AiSDR has already warmed up. This fundamentally changes your outbound economics. The bottleneck shifts from "how many personalized emails can we write" to "how many qualified conversations can we handle." Your pipeline becomes a function of market size and offer strength, not human capacity to research and write. That's the unlock. Most SDR teams are productivity-constrained when they should be market-constrained.

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What's a superpower most great sales leaders and RevOps teams have? -> Nailing their Forecast Personio shared how they are doing this using Gong to rely on real deal insights and complete data.

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Your SDRs move slow. Your market doesn’t. In 2025, sales teams win with agility. Markets shift. GTM strategies evolve. New products launch overnight. And if your SDR team can’t keep up, your pipeline’s at risk. Bad news: Most internal teams aren’t built to move that fast. Good news: Outsourced SDRs are. Here’s why they’re built for the modern sales org: 🔄 Pivot to new ICPs without missing a beat 🚀 Launch-ready teams, no hand-holding required 📊 Real-time reporting to optimize on the fly 🎯 Performance-based models (not just warm bodies in seats) The future of SDRs isn’t in-house—it’s on-demand. Want to pick the right agency to keep your pipeline fast, flexible, and future-proof? We’ve got the guide for you 👇

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The best reps are obsessed with the risk in their deal vs. obsessed with how to convince someone to buy. Spend this weekend looking at your top deals for this quarter and make a list of the 3 biggest risks in each one. Your action plan next week is to address those risks. Do that consistently and you'll see your deals accelerate and your customers lean in with you.

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