David Tigges

SDRs miss quota because they’re drowning in repetitive work They spend 70% of their time on tasks AI could handle fast Here’s what most teams get wrong They either automate nothing or try to automate everything The better approach is to split tasks by what’s repetitive vs what requires judgment Teams that use AI well save 2+ hours per rep daily and often see revenue lift The breakdown 👇

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“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 Reps manually scoring leads in outdated CRMs.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.

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Save time. Connect with the right people. Grow pipeline. We saved Spectro Cloud’s SDRs time- and that time turned into more conversations with real decision-makers, which grew pipeline. The numbers speak for themselves: ~30% less research time 5+ hours back per rep each week 8 qualified opportunities sourced directly from signals We love working with Amber Seels and the Spectro Cloud team: high-signal feedback, fast iteration, zero fluff. Together we’re turning precision into pipeline. Full case study in the first comment ⬇️ #SalesDevelopment #SDR #EnterpriseSales #Prospecting #IntentData #CommunityLed #Kubernetes #CloudNative #B2BMarketing #PipelineGeneration #Onfire

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A quick reminder for the SE community 👋 Presales Collective and Navattic are collecting real-world data for the 2026 State of Demo Automation Report. SCs are spending more time customizing demos than ever. Demo automation is taking off. But the industry still lacks real benchmarks. Your input helps set the standard for where presales is today and where it is headed in 2026. If you have not filled out the survey yet, you still have time. It takes about five minutes and helps us better understand SE workloads, demo prep, and how demo automation is evolving across teams. 📊 Add your voice here: https://lnkd.in/gsw6mjV3 We’re excited to be partnering with Navattic on this initiative and bringing clarity to the future of demo automation.

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80% of tech sales reps fail this interview test. When asked to prove their quota history, most reps have nothing verified. Here’s what that leads to: - Top candidates getting passed over for “internal hires” - Your biggest wins reduced to resume bullet points - You answering the question in STAR Format and sounding like a robot I’ve heard this from dozens of sales leaders and candidates everyone is frustrated right now That’s why I’m building VeriDeal, to help reps verify deal history with buyer-backed proof. No more guesswork. No more credibility gaps. No more quota inflation wars. try it out

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Hitting quota isn’t just about working harder. It’s about removing friction from your pipeline. Many sales teams still struggle with: • Manual prospecting • Inefficient pipelines • Deals getting lost in the shuffle That’s not a motivation problem. It’s a systems problem. With AI powered lead capture, predictive deal scoring, and accelerated demo booking, teams can focus on what actually drives revenue,meaningful conversations and closing. The future of sales performance is intelligent automation, not more manual effort. If your team is aiming to crush quota this quarter, it might be time to rethink the workflow.

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Check out this video featuring Rick Houlihan, Field CTO of Enterprise at MongoDB. He discusses why traditional databases aren't suited for AI workloads, resulting in increasing complexity, duplicated data, and slower performance. He also explains how MongoDB Atlas offers an alternative approach with a unified solution. Worth watching if you're reconsidering your AI stack. 👇

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IRC Sales data: 92% of reps quit after 4 follow-ups, yet 60% of deals close after 5+ touches. This CEO's simple system generates 67% reply rates when most see <10%… 𝗧𝗵𝗲 𝘀𝗶𝗹𝗲𝗻𝘁 𝗸𝗶𝗹𝗹𝗲𝗿 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲: You crush the discovery call... Then send the same boring follow-up everyone else does... And watch as your prospect ghosts you. Sound familiar? 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: Most reps send generic follow-ups that get buried in inboxes. Every "checking in" email costs you thousands in lost revenue. After seeing deals consistently stall post-discovery, Erdem Gelal, built a mini-system that: → Extracts specific value points from call transcripts → Identifies subtle buying signals you missed → Creates personalized follow-ups that demand responses This 5-minute workflow helped him achieve 67% reply rates. 𝗜𝗻 𝘁𝗼𝗺𝗼𝗿𝗿𝗼𝘄'𝘀 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 I'm sharing his VAT (Value Added Touchpoints) system PLUS access to try the actual tool for free. Sign up in the comments

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Onboarding new SDRs doesn’t have to take 90 days. Not when AI can coach them in real time. Most teams lose weeks waiting for reps to “get it.” But high-growth sales organizations are doing something different: They’re using AI to simulate live prospect interactions, give instant feedback, and collapse the time between “new hire” and “booked meeting.” Here’s the shift:  • Instead of SDRs guessing what good personalization looks like… • They practice on AI models trained on your ICP, tone, objections, and winning messaging.  • Reps ramp faster. Managers coach less. Results arrive sooner. If onboarding feels slow or inconsistent, AI coaching might be the highest-ROI upgrade you’re overlooking. DM us or visit our website to book a demo call and follow Clevercollabs for more insights.

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