Using Data in Negotiation Discussions

Your POC process is probably why you're not closing enterprise deals.   After analyzing POC outcomes across our portfolio, the data is clear: Companies with structured and priced POCs close 3x more deals than those running free pilots.   Why charge? Price signals seriousness. Even nominal fees filter serious buyers from tire-kickers. Frame your pilots as fixed-fee engagements: Say "we structure this as a 4-week, fixed-fee engagement to quantify value and build your business case."   Be sure to clarify pricing expectations in the process: If your pilot costs $5K but commercial deals are $100K-$300K based on the value unlocked, state this explicitly to avoid anchoring.   Here are 5 best POC best practices we see:   1. Define success criteria, not scope Align on specific KPIs, business outcomes, and who signs off before writing a line of code.   2. Time-box ruthlessly with weekly checkpoints POCs should run 30-90 days max. Set weekly or bi-weekly checkpoints to maintain urgency.   3. Pre-commit the path to commercial discussions Before starting any pilot, confirm that hitting the success metrics will trigger stakeholder presentations and commercial negotiations.   4. Demand access to the full buying center Technical users alone can't close deals. Ensure you meet decision-makers and budget holders during the POC, not after.   5. Document like a contract Formalize scope, terms, and deliverables in the agreement. Include specific responsibilities for both sides, data access requirements, success metrics, timelines, and post-POC commitments.   --   POCs are where your enterprise motion gets built. Treat them that way.   I wrote a guide to AI pricing with Madhavan Ramanujam and Joshua Bloom that discusses these ideas in more detail. If you're curious to dive deeper, I'll leave that link below. Also, Madhavan just released a new book called Scaling Innovation that also explores these topics. Highly recommend!

Something remarkable happened when we started bringing Customer Success leaders into our sales conversations. The traditional sales process transformed into a strategic partnership discussion that benefited everyone involved. After implementing this approach across hundreds of deals, we discovered benefits that went far beyond our initial expectations. Sales teams gained a deeper understanding of post-implementation challenges, which helped them qualify opportunities more effectively. Instead of focusing solely on closing deals, they began asking questions about operational readiness, internal champions, and resource allocation. Prospects received authentic insights into what successful implementation truly requires. Our CS leaders shared real examples of customers who thrived and openly discussed common obstacles they might face. This transparency built trust and helped prospects make informed decisions. Better aligned customer expectations from day one. When CS leaders joined these conversations, they highlighted potential roadblocks and success metrics based on similar customer profiles. This practical guidance helped prospects understand the work required to achieve their desired outcomes. This early involvement proved invaluable for our CS team. They gained visibility into the customer's vision before contracts were signed, allowing them to proactively plan resources and create tailored onboarding strategies. A surprising result was the reduction in "rescue" situations during implementation. We eliminated many issues that typically surfaced months into the relationship by addressing potential challenges during sales discussions. The data supported our approach. Deals that included CS leaders showed 40% higher implementation success rates and 25% faster time-to-value. More importantly, these customers renewed at significantly higher rates. For those considering this approach, start small. Choose strategic opportunities where CS insights could substantially impact the prospect's decision-making process. Document the outcomes and refine your strategy based on that feedback. Great customer relationships begin with the very first conversation.

"Just curious, how's your forecast looking?" My CEO friend asked me. The weekly forecast review. The monthly pipeline call. The quarterly business review. All centered around one flawed model: Asking reps to predict the future based on gut feeling. "50% chance of closing." "Strong verbal commitment." "Just waiting on final approval." These phrases hide a painful truth: We have no idea what's actually happening inside our deals. I changed how we forecast last quarter: Instead of: "How do you FEEL about this deal?" We now ask: "What have they actually DONE?" - Has the economic buyer viewed pricing? - Have technical stakeholders reviewed security docs? - Have end users looked at implementation plans? - Is the champion actively sharing content internally? Behavior doesn't lie. Words do. We tracked content engagement across 200+ deals: Closed deals: Prospects engaged 7+ times in final two weeks Lost deals: Engagement dropped to 0-1 interactions before going dark The deals your team is most confident about? Often the ones with the least actual buyer engagement. Here's how we transformed our approach: Every opportunity now has a digital space where we can see: - Exactly who is engaging with what content - Which stakeholders are involved (even ones we haven't met) - Where deals are getting stuck - When interest spikes or drops Our forecast accuracy improved INSANELY. Stop asking reps what they "think" will happen. Start measuring what buyers are actually doing. The best indication of deal health isn't what prospects tell you. It's how they behave when you're not watching. Do you know what your buyers are really doing? Or are you still forecasting based on feelings? Agree?

I'm watching salespeople leave money on the table every day. The data doesn't lie. B2B deals require 6.8 stakeholders to reach consensus. Yet most reps focus on ONE relationship. This single threading approach is why deals: = Go dark without warning = Disappear when priorities shift = Get cut first when budgets tighten = Take 2X longer to close than necessary After coaching 500+ AEs who've collectively closed $750M+ in revenue, I've found the solution hiding in plain sight. It's Account Mapping in LinkedIn Sales Navigator. But not just basic mapping. Strategic multi-threading. Here’s the play: 1. Pull up your target account in Sales Navigator 2. Click "View Account Map" (shockingly, most reps don't know this exists) 3. Identify key players in the buying committee 4. Assign roles: Decision-Maker, Champion, Influencer, User, etc. 5. Develop personalized outreach for EACH stakeholder When you deploy this strategy, something magical happens: One stakeholder goes dark? You have 5 other active relationships Technical objection arises? Your champion in Engineering addresses it internally Budget concerns surface? Your Finance contact provides insider perspective Decision-maker changes? You're already connected to their peer group Here’s a real world example: Last month, my client was working a $500K deal that seemed solid. Their single point of contact suddenly stopped responding for 3 weeks. Dead deal? Not quite. We implemented the multi-threading approach, mapped the account, and connected with 4 additional stakeholders. Turns out, their champion was on medical leave but the team was still evaluating solutions. Deal closed 40% faster than their average cycle. By the way… my favorite question to get me multi-threading from the get go? During discovery calls, I teach reps to ask: "Besides yourself, who else will be involved in evaluating this solution?" Then follow up with: "And who else might influence this decision, even indirectly?" “Who else?” Map these names immediately in Sales Navigator. Look for connections between them. Identify potential champions at EACH level of the organization. While your competition waits for ghosted emails, you're having productive conversations with multiple stakeholders. All moving toward consensus. The biggest deals CANNOT be won through a single relationship. Stop leaving commissions on the table. Start multi-threading today. Check out my Sales Navigator deep dive video (and how to use AI with it). : https://lnkd.in/gtE-FWax

If you're a VP / CRO, heres an exercise: take every deal in your Commit bucket. Run these 3 binary checks. Yes or no. No partial credit: 1. The economic buyer has been in a direct conversation with your team in the last 14 days. Not the champion relaying messages. The person who approves the spend has been on a call or in a room. Yes / No. 2. A documented internal stakeholder has their PERSONAL performance tied to this deal closing. Their promotion case, their quarterly deliverable, their board commitment. Yes / No. 3. An external business event forces a decision on a timeline your buyer controls. Contract expiration, regulatory deadline, new exec with a 90-day mandate. Something that makes the cost of inaction (™️ Jen Allen-Knuth) painful regardless of your quarter-end. Yes / No. Score each deal. - A 3/3 gets full confidence weighting. - A 2/3 gets half. - Anything below 2/3 drops out of Commit entirely and moves to Best Case or Pipeline. Now do the math. Say you have $4M in Commit. - After scoring: $1.5M scores 3/3 (full weight = $1.5M). - $1.8M scores 2/3 (half weight = $900K). - $700K scores 1/3 or lower (zero weight = $0). Your calculated forecast confidence: $2.4M out of $4M. That's 60%. You told the board 85%. The math says 60%. That 25-point gap is the exact size of the bullshit your organization has been carrying around like my Muppet Babies security blanket. Now backtest it. Pull last quarter's Commit deals. Score them retroactively using the same 3 checks. Compare the calculated confidence to what actually closed. Dont be shocked if you find that your gut-based forecast was off by 30-40% per quarter. The calculated score, applied retroactively, typically lands within single digits of actual results. The deals & data are the same. The only difference is replacing a subjective confidence level with three binary proof points. Now, here's why the binary part matters. You know why people are scared of the dark? Cause when you cant see shit in front of you, you fill the unknown with your fears. Forecasts, on the other hand, work in the reverse. When forecast checks have gray areas, reps fill the gray with optimism. - "The economic buyer is somewhat engaged" becomes a yes. - "There's sort of a timeline" becomes a yes. - "My champion cares about this" becomes a yes. Three soft yeses feel like a strong deal. They aint. Binary puts the kibosh on that nonsense. Either the EB was on a call in the last 14 days or they werent. Either a compelling event has a date attached or it doesn't. There's no room to negotiate with yourself about whether the deal is real. Build this into your weekly Commit review. Score every deal. Calculate the weighted number. THATS your forecast. Not what your team feels good about. What the proof points say. The formula works because it removes the one variable that's been screwing up your forecast all along: Human judgment.

Gong analyzed 42,945 closing calls to figure out what actually closes deals. I just read their research. It changed how I think about sales. Here's what they found: (spoiler: not your closing tricks) 1) Successful vs Unsuccessful Closing Calls Are Identical: → Same talk-to-listen ratio → Same no. of questions asked → Same interactivity level (speaker switches/min) → Same everything You can’t spot a win or loss just by the convo 2) Discovery Calls? Totally Diff: → Talk-to-listen ratio: huge gap between won/lost → Questions asked: direct correlation to deal success → Interactivity: winning demos are 2x more interactive → The trajectory is set here, not at closing 3) Asteroid Principle: → A tiny asteroid shift when far from Earth, changes everything → Once in the atmosphere: too late, outcome sealed → Early sales process: buyer perceptions in flux, easily shaped → Late sales process: solid perception; locked preference: point of no return → Closing tricks don't help 4) Competitive Mentions: → Discuss competitors early: increases win rate → Discuss competitors at closing: decreases win rate → Early: you set the rules of the game in your favor → Late: you're trying to convince against choosing the competition  → Competitive deals won with discovery techniques, not closing techniques 5) The ONE Difference That Matters: → Topics the prospect raises during the close call → Successful closings: buyer asks- SLAs, implementation, customer success, pricing details, long-term partnerships → These are "pre-purchase jitters" = buyer is ready, wants reassurance → Unsuccessful closings: buyer isn't asking these because they're not ready → It’s about the prospect’s readiness not the seller’s technique 6) Your Job on Closing Calls: → Don't close: Lead → Don't push, manipulate or pressure → Lead through emotional hurdles → Provide authentic reassurance → Clear confusion  → Show long-term commitment through behavior → Be decisive & recommend the right path → This is a mode of operation 7) What You Control: → Frame their problems & define their buying criteria early → Shape their perceptions while they’re flexible → Set competitive positioning before others  → Ask questions that uncover real needs → Drive interactive dialogue in early demos → Build trust upfront 8) The Math: → 1M+ calls & 42,945 closing calls studied → Near 0 behavioral diff between won vs lost closing calls → Huge behavioral diff in early-stage calls → Result: deals decided early, executed late 9) Implementation: → Focus on mastering discovery instead of closing tricks → Train reps on early-stage conversations → Record + analyze discovery calls, not closing calls → Fix talk-to-listen ratio early → Ask more questions in discovery (direct driver of success) → Build interactive demos (2x more ping-pong = 2x more wins) The deal is won in discovery; the closing call just exposes the result. Hours spent on closing tactics vanish. Hours spent mastering discovery compound.

Most reps are losing deals they never knew they were in. This is not due to poor discovery or ineffective demonstrations. The primary reason is delayed outreach, often by several weeks. The buying window often opens and closes before any contact is made. I have observed this pattern repeatedly. It comes down to one key factor: Teams focus on activity rather than actionable signals. This distinction is critical. Activity means contacting a high volume of accounts daily. Signal means identifying which accounts are ready to buy now. Leading go-to-market teams approach this in the following ways: - Intent Signal — they're researching your category. That's urgency, not interest. - Technographic Signal — their tech stack reveals the gap. You just need to see it. - Trigger Signal — new funding. New hire. Reorg. The clock just started. - Engagement Signal — they visited. They opened. They're watching. Are you? - Fit Signal — firmographics, role, vertical. Table stakes. Non-negotiable. The following metric is critical: When three or more signals align, take action within 24 hours. This is the optimal buying window. Competitors are monitoring the same accounts. The key question is who will act first. For this reason, a signal-led go-to-market approach is now essential. It distinguishes between merely building a pipeline and successfully closing deals. If this resonated, let's connect. https://lnkd.in/gW7S-v8v #GTM #B2BSales #SalesIntelligence #ZoomInfo #RevenueIntelligence #GoToMarket #SalesStrategy #PipelineGeneration #SalesLeadership

67% of deals are stalling right now. But a small group of sales leaders are closing 2.8x faster in this market. Here's their exact playbook (with proof) 🔥 My keynote last week 🇺🇸 looked at building sales momentum through uncertain times. Here's a summary if you weren't in the room. McKinsey & Company found something fascinating: While most sales cycles are getting longer, the top 12% are actually speeding up. Here's what they do differently: 1. 𝗙𝗿𝗼𝗻𝘁-𝗹𝗼𝗮𝗱 𝗿𝗶𝘀𝗸 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀 Deloitte's 2025 Enterprise Risk Analysis shows a striking pattern: 71% of delayed deals stem from unaddressed risk concerns that surface late in the cycle. The fix? • Document all perceived risks in the first two meetings • Create a shared risk assessment document with the client • Address each point with data, not promises 2. 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝘁𝗵𝗲 "𝟯-𝟮-𝟭" 𝘀𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿 𝗺𝗲𝘁𝗵𝗼𝗱 McKinsey & Company's research shows top performers are 3.4x more likely to close when they: • Identify 3 key decision-makers • Connect with 2 finance stakeholders • Secure 1 executive sponsor who owns the business outcome Skip this = 67% chance of "decision freeze" 3. 𝗨𝘀𝗲 𝗺𝗶𝗰𝗿𝗼-𝗰𝗼𝗺𝗺𝗶𝘁𝗺𝗲𝗻𝘁𝘀, 𝗻𝗼𝘁 𝗺𝗲𝗲𝘁𝗶𝗻𝗴𝘀 Average sales cycle: 8-12 meetings Top performers: 4-6 meetings with clear deliverables After each interaction: • Get written confirmation on agreed points • Share a client-editable action plan • Set 48-hour response deadlines for both sides 4. 𝗗𝗲𝗽𝗹𝗼𝘆 𝘁𝗵𝗲 "𝘂𝗻𝗰𝗲𝗿𝘁𝗮𝗶𝗻𝘁𝘆 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲" Here's the counterintuitive finding from Harvard Business Review's latest study: Uncertainty can speed up decisions when you: • Show how waiting costs more than acting (with real numbers) • Present case studies of companies who gained market share during previous downturns • Offer flexible implementation timelines with locked-in current pricing As Microsoft CEO Satya Nadella notes in Harvard Business Review: "In times of uncertainty, winners aren't those who cut across the board. They're the ones who strategically adjust their sales process to match the moment." 𝗧𝗵𝗲 𝗲𝘃𝗶𝗱𝗲𝗻𝗰𝗲 𝗶𝘀 𝗰𝗹𝗲𝗮𝗿: Teams using these methods see 40% shorter cycles and 2.8x higher close rates in uncertain markets, according to Gartner's 2025 Sales Performance Index. But here's the kicker: It only works if you implement all four. Cherry-picking reduces effectiveness by 64%. Question: Are you finding that decision-making is slowing down in this market, yes or no? —————————— 👋 I’m David, a keynote speaker  ✈️ Invite me to speak at/emcee your event 🌍 🤖 I don’t use AI to write my posts ♻️ Repost if you found this useful 👨💻I post good stuff every day, follow for more

We pulled engagement data across hundreds of sales and success teams using SalesHood's Digital Sales Room technology and the patterns are a must share. The teams closing the biggest deals were not the ones creating the most Digital Sales Rooms or uploading the most content. They were the ones building experiences buyers actually came back to - repeatedly. Here is what the data is showing us. There are some great lessons here. 𝐕𝐨𝐥𝐮𝐦𝐞 𝐢𝐬 𝐧𝐨𝐭 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭. Some teams had thousands of Digital Sales Rooms created. Buyers barely opened them. The teams with the highest buyer engagement had far fewer rooms but every one had a clear purpose and organization. More is not more. Intentional is more. 𝐁𝐮𝐲𝐞𝐫𝐬 𝐝𝐨 𝐧𝐨𝐭 𝐰𝐚𝐧𝐭 𝐚 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐥𝐢𝐛𝐫𝐚𝐫𝐲. 𝐓𝐡𝐞𝐲 𝐰𝐚𝐧𝐭 𝐚 𝐠𝐮𝐢𝐝𝐞𝐝 𝐩𝐚𝐭𝐡. We saw some sales teams uploading too many assets and setting up many sites with zero engagement. The highest engaged accounts and the ones that closed did the opposite. They kept it focused. A buyer who feels overwhelmed does not dig deeper, they disengage. 𝐑𝐞𝐩𝐞𝐚𝐭 𝐯𝐢𝐬𝐢𝐭𝐬 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐬𝐢𝐠𝐧𝐚𝐥. One of our customers had buyers returning to their deal rooms an average of 90 times per site. That is not a fluke. That is a seller who built something worth coming back to. If your buyer only opens your deal room once, you have a lead. If they keep coming back, you have a real interest and strong buying signals. 𝐌𝐮𝐭𝐮𝐚𝐥 𝐚𝐜𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐧𝐬 𝐚𝐫𝐞 𝐚 𝐜𝐥𝐨𝐬𝐢𝐧𝐠 𝐭𝐨𝐨𝐥, 𝐧𝐨𝐭 𝐚𝐝𝐦𝐢𝐧 work. The companies with the highest percentage of deal rooms tied to a mutual action plan also carried the largest average deal sizes. When both sides agree on next steps in writing, deals move. It is that simple. 𝐁𝐮𝐲𝐞𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐜𝐨𝐚𝐜𝐡𝐢𝐧𝐠 𝐬𝐢𝐠𝐧𝐚𝐥. When hundreds of deal rooms show near-zero buyer activity, that is not a data problem, that's a coaching problem. Managers who track buyer engagement alongside pipeline will catch at-risk deals and unqualified pipeline weeks before they show up as a forecast miss. The best sales teams are not just creating Digital Sales Rooms. They're creating destinations for buying committees. And our data shows exactly who figured it out. Where does your team stand with Digital Sales Rooms today?