Drew Swanson

Most AEs spend their days reacting.   To leads. To timing. To whatever hits their inbox next.  But top performers don’t just react — they *engineer control.*  They protect their time.   They prepare with intent.   They measure what matters.   And they stay on the line.  Sales Caddy gives you the guardrails to make that discipline repeatable — prompts that drive action, data that reinforces habits, and clarity that compounds.  Because revenue doesn’t reward effort.   It rewards control.  #sales #b2b #revenue #salesleadership #ai #salescaddy #revops #salesprocess #salesperformance #accountexecutive

5

“Our average rep hits 50% of quota.” Oof. That's not a rep problem. It's a process problem. If your SaaS sales team's performance is consistently unpredictable, you’re missing real gaps in your ops. Reps manually scoring leads in outdated CRMs. No automation for routing or segmentation. Etc. AI can help, but before you add it to the mix, you need to define 4 things for every sales process: ⭕ Who is responsible for the process  ⭕ What tools are used to execute, track, and facilitate the process ⭕ The value the process brings to the organization  ⭕ The cost of the process Analyze these details and you can to identify gaps that AI can help close. Performance doesn’t break at the report. It breaks in the workflow. Fix the gaps first. Then AI can do what it’s supposed to: make the system even smarter. ➕ Follow for more insights on using AI in your SaaS ops.

3

Core Components of a Cold Calling Infrastructure: DATA Want to make cold calling actually work? It starts with your data. In this video, OutboundView CEO Blake Johnston breaks down the most critical — and most overlooked — component of successful cold calling: data quality. From ZoomInfo to multi-provider data waterfalling, Blake walks through what separates high-performing sales teams from those just spinning their wheels. If you’re relying on bad phone data, outdated job titles, or calling people who never answer unknown numbers — you’re wasting time and budget. ✅ Why mobile numbers outperform direct dials ✅ How to increase connection rates with pickup analysis ✅ What "data waterfalling" is and why it matters ✅ How to vet lists before your reps ever pick up the phone If you’re building or scaling your outbound motion, this is a must-watch for ensuring every dial counts. 👉 Learn more at: https://lnkd.in/eqp-4Xur 👉 Connect with Blake on LinkedIn: https://lnkd.in/eRqxsseF #ColdCalling #OutboundSales #LeadGeneration #SalesDevelopment #B2BSales #SalesData #ZoomInfo #SalesOps #SDRTraining #ColdCallTips

6

🤖 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

6

Most SaaS sales organizations don’t struggle with execution rigor. They struggle with what happens after rigor is introduced. Deal standards improve. Qualification language tightens. Forecast calls sound sharper. But under pressure, something breaks. Coaching collapses back into deal inspection. Managers review what is happening, not why it keeps happening. Skill gaps stay invisible until results flatten. The system holds. The capability doesn’t. Execution rigor without enforced coaching standards eventually eats itself. Most CROs don’t see this as a leadership problem at first. It looks like noise. Or variance. Or a talent issue. By the time it’s obvious, the damage is already done.

2