Reduce Wasted Sales Calls with Automation

The anatomy of a sales call has changed dramatically. Last week, I shadowed some of HubSpot’s top reps and what struck me was how differently the best sellers work today. They’re using AI at every stage: before, during, and after the call. And the results are real. The brain: before the call. AI does the heavy research — scanning 10Ks, news, emails, and past calls to surface the insights that matter most. Tools like Breeze Assistant can prep a full company overview in seconds. According to our State of Sales Report, 74% of sellers say buyers are showing up to calls more informed than ever before. Salespeople need to be just as ready. The heart: during the call. AI notetakers capture everything: next steps, budget mentions, open questions, so reps can focus on listening, not typing or scribbling notes on the side.  Also, AI assistants surface the right case study or testimonial in real time, making every answer sharper and every example more relevant. That means as a sales rep you are more engaged and relevant. The muscle: after the call. AI follows through fast. It drafts personalized follow-up emails in your own voice, outlines next steps, and flags what needs attention. More time with customers and less time writing emails. The result: sellers who prepare better, connect deeper, and close faster. The anatomy of a great sales call used to be manual effort and hustle. Now, it’s human connection powered by intelligence.

Last quarter, we spent $1,404,619 on AI tokens - an all-time high - and the ROI wasn’t what we expected… Most of the ROI didn’t come from “flashy AI”, it came from boring AI doing boring work at scale. Here’s where our spend went and what actually moved the needle: 1. Telling reps who to call today (and why) We’re using AI to sift through millions of signals and tell reps who to talk to today and why. The signals that we’ve found matter: Job changes (new decision makers = new opportunities), buying committee changes and intent signals (active web research and pricing page visits). The big ROI driver is helping our customers with daily prioritization so they don’t have to go fishing for actionable info. At ZoomInfo, We’ve seen a 25-33% increase in meeting quality and opp creation when AEs are sourcing using our AI tools. Win rates also jump from 16-20% to 30%. 2. Writing outreach that doesn’t sound automated We’re moving from “20 segments of 1,000” to 20,000 segments of 1. Not “VP IT at enterprise insurance” messaging… but John at State Farm, who we talked to last year, who competes with three of our customers, with context pulled in automatically. Customer ROI here ultimately comes from better response rates and higher close rates by being more relevant. Buyers care when you show you care. 3. Turning sales calls into usable data Every sales call (ours and customers) is recorded using @Chorus and becomes structured data: objection patterns, competitor mentions, deal risk, coaching moments. We’ve found the benefits of this are huge - 25-30% faster ramp time for new reps, and 10-15% larger deal sizes through better discovery and value articulation. The average rep sells more like the best rep. 4. Speeding up low-value engineering work Every engineer at Zoominfo has Intellij and VS Code w/ Cline. AI handles the unglamorous stuff: Boilerplate code, refactors, test coverage. We’ve seen ~25–30% faster execution on these routine tasks, which frees senior engineers to focus on system design and real product innovation. Our biggest lesson so far has been that if your data foundation is garbage, AI just helps you move faster in the wrong direction. You won’t get AI “working” until you have contextual customer/prospect data centralized, and you can actually build on top of it. We’re still early and we’re trying a lot of things but these have been the highest ROI drivers by a mile. If you’re testing AI in your GTM stack, drop a comment with what’s actually working for you - I’m all ears.

Most teams obsess over the 5% who reply. But what about the other 95%? That’s where your investment lives. You spent real time (and real money) building that list: → Enrichment tools → Research → Personalization → Manual review And then… No reply? No interest? Off to the next batch? The best operators treat every reply—yes, no, or silence—as a chance to learn, improve, or close the loop. That’s where automation shines: → Out-of-office replies? Route them into a “Back to Work” campaign timed to their return → “Not a fit” replies? Offer a referral link with affiliate commission → Total silence? Trigger a 90-day re-engagement path with new angles or case studies → Ghosted after showing interest? Schedule soft nudges before archiving → Unsubscribes? Instantly tagged and blocked from future sends None of this needs to be manual. It just needs to be mapped—and automated—with intent. Because if your outbound system treats non-responders like throwaways… You’re burning time and money. The real cost isn’t in outreach. It’s in letting 95% of your effort go nowhere. — 🔔 Follow Nathan Weill for automation strategies that turn missed chances into second ones. #OutboundOps #SalesAutomation #NoCode #LeadFollowUp #Zapier #OperationalExcellence #RevenueOperations

I spent 300 hours researching 1,500+ software. Here's how to upgrade your tech stack with AI: 1️⃣ Use AI apps for building leads lists Your ability to put the message in front of the right person is the biggest predictor of your outreach campaign's success. Some AI applications make the process easier by helping you: - Build lead lists - Deeply research prospects - Segment & score prospect Examples include: - Relevance AI Prospect Researcher and Enrichment agents - Clay’s AI Agent and Integration with 100+ data platforms. - Exa’s AI Research & Data Sourcing Agent 2️⃣ Use AI to orchestrate complex workflows Running cold email campaigns used to be fragmented across several platforms and involved moving around .csv files from one tool to another. Workflow builders & AI agents now help you: - Build a list  - Score your leads - Find their Emails - Verify these Emails - Personalise your messaging with AI - And import to leads to a sales engagement platform … all that from a single tool. Examples for these tools include Clay, Relevance AI, Common Room & Unify. 3️⃣ Use AI to improve your deliverability A message that doesn’t get read, doesn’t get replied to. Every year, deliverability is getting harder to crack. Thankfully, a few sending platforms are leveraging AI to help with: - Secondary domains & mailboxes setup - Automated Spintaxxing - Email warm-ups Examples include: Instantly.ai, lemlist & Woodpecker.co. 4️⃣ Use AI to help close your deals We’re still far from seeing AI successfully replacing humans in Google Meet. But the AI bots are already listening to these sales conversations. They already help by: - Taking notes from convos - Surfacing insights from individual conversations - Surfacing aggregate insights from MANY conversations For example, one thing I like to do is ask Attention what our prospects have asked most in our latest 100+ sales conversations. Once I know that, I can address these points in our messaging. P.S: Any unheard-of use case you’ve seen with AI applied to go-to-market?

$150/month. 138 meetings. $104K saved. Zero AI. A B2B consultancy came to me with 12 reps and a pipeline held together by spreadsheets and sticky notes. 600 leads a month. Average response time: 28 hours. You have 5 minutes before you're 21x less likely to qualify a lead. They were responding in 28 HOURS. 43% of their leads got one touchpoint. One email. Then silence. Gone. The sales manager couldn't tell me which deals were alive. Because nobody knew. They didn't need AI. They needed plumbing. I connected 6 tools into a 6-stage pipeline where nothing falls through: Custom CRM, Gmail, WhatsApp Business API, Calendly, SendGrid, Slack. Built in 52 days. Running cost: $150/month. 90-day results: -> Response time: 28 hours to under 5 minutes -> Follow-up completion: 57% to 94% -> Qualified meetings: 45 to 138/month -> Revenue per rep: 2.4x -> 40 hours/week of manual follow-up eliminated -> $104K/year in labor savings Same team. Same leads. Same reps. The system didn't make them better at selling. It made sure they actually executed the process that already worked when they bothered to do it. They didn't need more leads. They needed to stop ghosting the ones they had. What's the most expensive "forgot to follow up" you've seen on a sales team?

𝐂𝐥𝐢𝐞𝐧𝐭 𝐀𝐬𝐤𝐞𝐝: “𝐂𝐚𝐧 𝐖𝐞 𝐒𝐭𝐨𝐩 𝐂𝐡𝐚𝐬𝐢𝐧𝐠 𝐏𝐞𝐨𝐩𝐥𝐞 𝐓𝐨 𝐁𝐨𝐨𝐤 𝐂𝐚𝐥𝐥𝐬?” 🤝 A client recently had a simple problem: Too many interested leads. Too much back-and-forth. Too many missed booking opportunities. They were manually replying to messages, sending calendar links, checking availability, and reminding prospects to show up. So we built an automation that now: ✔️ Sends the booking link instantly ✔️ Adds the prospect to the CRM ✔️ Sends confirmation emails automatically ✔️ Triggers reminder messages before the call ✔️ Notifies the team when a new call is booked The result? Fewer missed opportunities. Less manual follow-up. More booked calls. A smoother experience for every lead. This is what smart automation does. It does not just save time. It helps businesses respond faster, follow up better, and create a more professional client journey. 🚀 Because in business, speed matters. And the businesses that follow up faster usually win. What part of your booking or follow-up process still feels too manual? #AutomationGuy #ScaleThroughAutomation #AIAutomation #BusinessAutomation #LeadGeneration

If I were a B2B founder and needed to get more appointments without spending more on inbound/ads/lead acquisition, here’s exactly how I’d tackle it: 1) Organize your Leads First, I’d dig into every database, spreadsheet, trade show list, and CRM I own. Anywhere I’ve ever gotten a lead, I’d pull that data together. (Bonus: old customers are now leads) • Consolidate: If you haven’t touched a lead in 6+ months, it’s time to resurrect it.  • Verify Numbers: Don’t have a phone number? I’d grab one using a service like ZoomInfo or any other B2B data provider.  • Segment & Label: Separate them by industry or past engagement level so I can track which groups respond best once the calls start.  • If I wanted to go next level, I’d use tools like Clay to get next level intelligence on my leads By the end, I’d have a single, polished list—my sleeping giant—ready for re-engagement. 2) Launch an AI BDR  Next, I’d create an AI-based BDR to do the heavy lifting, because calling 1,000 leads manually is a full-time job (and I don’t want my team burning out).  • Automated Outreach: This AI sales rep would call every number on my list—faster than any human SDR.  • Qualification on the Spot: The AI can ask critical questions to figure out whether the lead is a good fit.  • Calendar Booking: For leads that show interest, the AI BDR instantly drops a meeting on my sales team’s calendar, saving a lot of time in back-and-forth emails. Instead of letting my leads slip through the cracks, the AI BDR works around the clock, ensuring each one gets the immediate attention it needs. 3) Clean Your Data & Rinse, Repeat  Finally, I’d treat my lead list like a living, breathing organism that needs constant care:  • Follow-Up: For leads that need a little nurturing, I’d set them aside for a second or third call cycle.  • Eliminate Dead Ends: Quickly remove numbers that bounce, are disconnected, or lead nowhere.  • Optimize: Over time, I’d refine my approach—tweaking call scripts, call times, and questions based on what resonates most with each segment. This cycle of calling, cleaning, and improving ensures I’m always getting a solid ROI on every lead. 👉 Btw if you’re a B2B founder who wants help with this, let’s have a chat: https://lnkd.in/gQEEn7H8

How I saved +14 hours a week using AI. (the sales efficiency playbook I wish I had years ago) Here’s the truth: You need a really good AI sales assistant / notetaker. But most AI meeting summaries are 50% fluff. They tell you what you already know and miss what you actually need. So instead of saving time, you still end up copy-pasting notes, searching for deal context, and scrambling before calls. Not helpful one bit! That was me.. …until I rebuilt my workflow using Sybill. (especially their new summaries + briefs features). Here’s the 5-step playbook I now follow: 1. Build your own summaries. Drag + drop sections, add custom AI prompts, hide the noise. No more generic “transcript dumps.” 2. Match the meeting. Demo ≠ Discovery ≠ Proposal. Let your briefs auto-adjust so prep always fits the call type. 3. Prep in minutes, not hours. Pull prospect research, past calls, CRM notes, and calendar context into one brief. You walk in fully prepped after a 2-minute skim. 4. Highlight what matters most. Want risks at the top? Competitor mentions? Action items? Make the critical info impossible to miss. 5. Close the loop fast. Turn summaries into instant follow-ups and clean CRM updates. No more hopping between ChatGPT, email, and CRM to get deals moving. The result? 14 hours a week back. Less scrambling. More selling. Make your AI tools give you YOUR time back!!

How tech companies are saving 10+ hours a week (with these 6 simple Salesforce automations): Companies waste hours every week on tasks that should be automated. They lose time in ways no one even notices: • Clicking through screens • Manually updating fields • Logging calls by hand Each task seems small. But together, they slow everything down. Here are 6 Salesforce automations that save tech companies 10+ hours every week: 1) Data entry and lead enrichment Manual data entry slows everyone down. New leads are auto-enriched with: • Company info • Contact details • Other relevant data No typing required. That means sales can sell, marketing gets clean data, and RevOps stops fixing spreadsheets. 2) Lead management and routing Without automation, leads sit in limbo. Sales and marketing waste time figuring out ownership. So we automated lead assignment, marketing handoffs, and customer success escalations. Now everyone knows exactly where a lead belongs. No confusion. No delays. 3) Automated follow-ups, demos, and approvals If teams rely on memory for follow-ups, deals get lost. We trigger automated task reminders when key actions happen. • A new lead comes in • A demo is booked • A proposal goes out Teams get notified automatically. No more missed follow-ups. No bottlenecks. 4) Proposal, contract, and quote generation Teams shouldn’t waste time building proposals, contracts, or quotes manually. We automate it. Pre-built templates pull in Salesforce data: • Proposals are ready in minutes • Contracts auto-route for approval • No chasing down managers Faster contracts = faster deals = faster revenue. 5) Automated email and activity tracking If it’s not logged, it didn’t happen. But teams forget to log emails, calls, and meetings. So we integrate Salesforce with Outreach, Gong, and Slack to log everything automatically. Now leadership gets full visibility into: • Emails sent • Calls made • Customer responses No manual tracking required. 6) Real-time reporting and forecasting Leaders can’t make smart decisions without real-time data. So we build dashboards that track: • Pipeline health • Deal stages • Team activity Better visibility = faster, smarter decisions. The Bottom Line: Manual processes, bad data, and disconnected tools are slowing you down. We help tech companies fix this—fast. If Salesforce feels like more work than it should be, let’s change that. DM me "Salesforce" and let’s talk.

Stop wasting your team's time. So many Sales organisations are still running like it's 2020. Low automation, low alignment, high amount of manual, repetitive and no value-add work. ❌ SDRs are busy with: → Going after accounts they believe are valuable → Manually scraping company and contact information → Blasting emails to cold accounts → Running call sprints as the magic bullet for meeting creation → Manually entering their findings to the CRM ❌ AEs are busy with: → Scraping together information about deals, meetings and use cases → Using Sales methodology as a necessary burden of CRM entry → Running poorly qualified Sales meetings with non-ICP prospects → Hunting quota through quantity, not quality Good RevOps teams are operating in smarter ways for a while already. They transitioned from a supporting role into a true GTM Engineering function. The result is highly automated & AI enabled selling based on clearly defined ICP, triggered by signals and driven by relevant & personalised messaging. But it's your responsibility as a Sales leader to allow that team to drive that way without being afraid of loosing control or the magic of Sales itself. How does this look like? Moving all guesswork, manual labour and low value tasks outside of the Bowtie and into a clearly defined, self improving workflow which is feeding your team the best accounts, in an enriched manner, at the right time with the right message. ✅ SDRs will: → Be fed with relevant inbound leads according to your ICP → Navigate one central tool for their workflow → Not think of CRM entry, but adding value, quality and scale to their day → Convert lower amount of leads at higher rates into meetings ✅ AEs will: → Prepare and run educated, impactful meetings with a couple of clicks → Use tools to improve their selling and customer experience vs. admin → Facilitate AI in every piece of account action (review, next best action, ..) → Achieve higher ACV outcomes with high-retaining accounts I know: This is more difficult than just plugging a few things together. It requires a shift in how we organise our GTM functions and how we execute. Start today by being thoughtful of every manual action your team is performing, every piece of process which different people run differently, every tool in the tech stack which could be run centrally and to facilitate AI capabilities to surface learnings, guidance and acceleration. What did I miss?