Agency Sales Techniques

Selling to the C-Suite? Here’s what they actually care about. Most reps blow the meeting before it even starts. Not because their product sucks... but because they show up sounding like a feature brochure with a pulse. When you’re in front of a C-level exec, you’ve got 30 seconds to prove: ✅ You understand their world ✅ You’re not here to waste time ✅ You can move the needle on what matters to them What that looks like, by title: 🧠 CEO – Growth + Risk ✖ Don’t pitch features. ✔ Show how you help them scale faster, cut risk, or hit strategic goals. 💬 “This helps teams like yours enter [X market] 3x faster - with fewer moving parts.” 💰 CFO – Cost + ROI ✖ “This will improve productivity” = fluff. ✔ Quantify ROI. Speak in margins, efficiency, risk reduction. 💬 “We reduced vendor cost 18% and freed 22 hours/month for [role].” 🛠 COO – Efficiency + Execution ✖ Don’t say “streamline.” Prove it. ✔ Show how you simplify ops, reduce friction, and speed up delivery. 💬 “We eliminate 4 handoffs in your process, cutting fulfillment time in half.” 📈 CRO – Pipeline + Predictability ✖ Don’t pitch dashboards. ✔ Show how you help them hit number faster - with fewer surprises. 💬 “We help reps close 12% more deals without changing your CRM.” 📣 CMO – Leads + Attribution ✖ Don’t promise “awareness.” ✔ Show how you help convert demand into real pipeline. 💬 “We cut cost per qualified lead by 38%... and proved it with revenue impact.” 👥 CHRO – Retention + Culture ✖ Don’t pitch “engagement.” ✔ Tie your solution to retention, onboarding, or team performance. 💬 “Your reps ramp 30% faster...and stay longer because the system supports them.” CIO/CTO – Security + Scalability ✖ Don’t ignore technical friction. ✔ Preempt risk and show how your tool fits their stack. 💬 “No extra infrastructure, fully SOC 2 compliant, and deployed in 48 hours.” CPO – Velocity + Adoption ✖ Don’t talk features to a feature owner. ✔ Show how you drive product adoption and roadmap execution. 💬 “Adoption jumped 44% in 3 months - because we removed friction at the edge.” You’re not selling your product. You’re selling outcomes to people with power, pressure, and no patience. 👇 Which C-level convo are you prepping for next? — 📬 Want access to practical sales resources and advice from top sellers every day? Subscribe here: SalesDaily.co

For my first 16 years in tech sales, I averaged 240K/year W2 income. In my last 4 years, I averaged 720K/year. In order to triple my income, I had to change my sales approach entirely. Here's what I changed: I started using a new approach that I now call Yo-yo selling: 🪀 Yo-yo selling emphasizes starting at the executive level, conducting thorough discovery within the organization, and then returning to the executive with a tailored business case. Like holding a yo-yo, you are constantly in communication with the Executive Sponsor and updating them as you collect information and conduct deep discovery lower down in their organization. You are literally going up and down the organization, but always taking everything back to the Executive Sponsor to surface your findings along the way. Here's a breakdown of the framework: 🎯 𝐈𝐚𝐧 𝐊𝐨𝐧𝐢𝐚𝐤’𝐬 “𝐘𝐨-𝐘𝐨 𝐒𝐞𝐥𝐥𝐢𝐧𝐠” 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 This strategy involves a three-step process: 1. Start at the Top (Executive Engagement) Initiate contact with a senior executive to understand their most pressing challenges, the reasons behind the need for change, and the consequences of inaction. If your solution aligns with their needs, secure their sponsorship for further discovery within their organization. To secure the Executive Meetings, it's essential to create a tailored POV (point of view) on where you think you may be able to help them based on your initial research of their highest level goals and priorities. Chat GPT has made this research a LOT faster now. 2. Conduct In-Depth Discovery (Middle Management) Engage with department heads and key stakeholders to uncover the day-to-day challenges they face. Focus on understanding their processes, pain points, and the implications of current inefficiencies. Gather direct quotes and insights to build a comprehensive view of the organization's needs. 3. Return to the Executive (Present Findings) Compile the insights gathered into an executive summary and business case. Present this to the executive sponsor, highlighting how your solution addresses the identified challenges. Tailor your demonstration to focus solely on relevant aspects that solve their specific problems. 🚀 Why It Works 1. Accelerates Sales Cycles: Engaging executives early ensures alignment and expedites decision-making. 2. Builds Credibility: Demonstrates a deep understanding of the organization's challenges and showcases a tailored solution. 3. Facilitates Internal Buy-In: By involving various stakeholders, you ensure that the solution meets the needs of all parties, increasing the likelihood of adoption. I'm pleased to share that that Yo-yo selling was recently awarded as a Top 15 Sales Tactic of All Time by 30 Minutes to President's Club, and I received a cool plaque for entering the 30MPC Hall of Fame. Since I have no chance of entering the Hall of Fame for my baseball or golf game, this is a nice consolation prize 😁

Many amazing presenters fall into the trap of believing their data will speak for itself. But it never does… Our brains aren't spreadsheets, they're story processors. You may understand the importance of your data, but don't assume others do too. The truth is, data alone doesn't persuade…but the impact it has on your audience's lives does. Your job is to tell that story in your presentation. Here are a few steps to help transform your data into a story: 1. Formulate your Data Point of View. Your "DataPOV" is the big idea that all your data supports. It's not a finding; it's a clear recommendation based on what the data is telling you. Instead of "Our turnover rate increased 15% this quarter," your DataPOV might be "We need to invest $200K in management training because exit interviews show poor leadership is causing $1.2M in turnover costs." This becomes the north star for every slide, chart, and talking point. 2. Turn your DataPOV into a narrative arc. Build a complete story structure that moves from "what is" to "what could be." Open with current reality (supported by your data), build tension by showing what's at stake if nothing changes, then resolve with your recommended action. Every data point should advance this narrative, not just exist as isolated information. 3. Know your audience's decision-making role. Tailor your story based on whether your audience is a decision-maker, influencer, or implementer. Executives want clear implications and next steps. Match your storytelling pattern to their role and what you need from them. 4. Humanize your data. Behind every data point is a person with hopes, challenges, and aspirations. Instead of saying "60% of users requested this feature," share how specific individuals are struggling without it. The difference between being heard and being remembered comes down to this simple shift from stats to stories. Next time you're preparing to present data, ask yourself: "Is this just a data dump, or am I guiding my audience toward a new way of thinking?" #DataStorytelling #LeadershipCommunication #CommunicationSkills

ROI presentations are deal killers. Gong's data shows a 27% drop in close rates when reps present ROI at any point in the sales process. Think about it from the buyer's perspective: "The ROI of our solution is 300%" sounds like every other vendor pitch they've heard this month. Executives tune out because they've been burned by inflated ROI promises before. Smart reps skip the ROI theater entirely. Instead, they build business cases that executives actually care about. Here's the blueprint: #1 Assess their current state. Document what's happening now based on actual stakeholder conversations. Their goals, obstacles, and challenges. Make it specific to their situation, not generic industry problems. #2 Run a problem cost analysis Quantify the real financial impact. Which metrics are suffering? Direct costs, indirect costs, opportunity costs. What's the monthly burn rate of doing nothing? Get specific numbers, not ballpark estimates. #3 Identify the root cause Identify why problems exist, not just what problems exist. Show the underlying issues that need addressing. This separates consultants from vendors. #4 Give them multiple outcome scenarios Present three paths: status quo, conservative improvement, and optimistic improvement. Ranges feel realistic. Single "guaranteed" outcomes feel like sales BS. #5 Give them an implementation reality check Be honest about what success requires. Time investment, resource allocation, change management challenges. Transparency builds credibility. The shift is subtle but powerful: ROI presentations = "Here's why our product is great" Business cases = "Here's why your current situation is unsustainable" One focuses on your solution. The other focuses on their problem. When you help executives understand the true cost of inaction, price becomes secondary. Stop selling ROI. Start selling necessity. — Want to see a real coaching call walking through price objections? Go here: https://lnkd.in/gbBjgxxS Sales Leaders: Want to install systems to get your reps crushing quota? DM me.

Most brilliant ideas die not because they’re bad, but because they’re pitched wrong. And that collapse usually happens in the first 90 seconds. A 2023 McKinsey study found that senior leaders make decisions up to 5x faster when information is presented with clarity and relevance rather than sequence and storytelling. And neuroscience backs this up. Our prefrontal cortex, the part involved in complex decision-making, has limited working-memory capacity (about 3–4 chunks of information at a time). If your pitch starts with a long background story, you overwhelm the very system you’re trying to engage. You feel you have no influence? Let’s fix that. 𝟭. 𝗦𝘁𝗮𝗿𝘁 𝗪𝗶𝘁𝗵 𝘁𝗵𝗲 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻, 𝗡𝗼𝘁 𝘁𝗵𝗲 𝗦𝘁𝗼𝗿𝘆 Executives process outcomes first, explanations second. Open with: “The decision I’m asking you to make today is…” This immediately reduces cognitive load and boosts listener retention by up to 30%, according to research. 𝟮. 𝗔𝗻𝗰𝗵𝗼𝗿 𝗬𝗼𝘂𝗿 𝗜𝗱𝗲𝗮 𝗶𝗻 𝗪𝗵𝗮𝘁 𝗧𝗵𝗲𝘆 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗖𝗮𝗿𝗲 𝗔𝗯𝗼𝘂𝘁 Executives listen for impact drivers (P&L, risk, timing, strategic alignment, reputation…) If your idea doesn’t connect to their priorities, it becomes noise. 𝟯. 𝗕𝘂𝗶𝗹𝗱 𝗮 𝟯-𝗟𝗮𝘆𝗲𝗿 𝗡𝗮𝗿𝗿𝗮𝘁𝗶𝘃𝗲 Layer 1 The One Sentence Your idea in 12 words. If you can’t explain it simply, it’s not clear, and the brain can’t store it. Layer 2 The Value State the pain and the outcome. One slide. One paragraph. Keep it simple and straightforward. Layer 3 The Proof Pilot data, customer insight, small wins… you need facts that make the idea tangible. And remember... people trust a message more when it includes a concrete marker of progress. 𝟰. 𝗘𝗻𝗱 𝗪𝗶𝘁𝗵 𝘁𝗵𝗲 𝗦𝗺𝗮𝗹𝗹𝗲𝘀𝘁 𝗣𝗼𝘀𝘀𝗶𝗯𝗹𝗲 𝗙𝗶𝗿𝘀𝘁 𝗦𝘁𝗲𝗽 Senior leaders don’t buy ideas. They buy safe momentum. Close with: “The smallest low-risk step we can take is…” Micro-commitments trigger the brain’s preference for loss avoidance. We’re more willing to start small because the perceived threat is low. And it goes without saying that you always need to prepare for objections. Executives consistently push on cost, risk, and timing. When you proactively address these, you signal confidence and reduce perceived uncertainty. Common mistakes that people make (that kill a pitch)? - Starting with a long narrative instead of the decision - Explaining the problem in painful detail - Using vague verbs such as “improve,” “optimize,” “enhance” - Not making an explicit ask - Pitching to be liked instead of aligned - Having no clue of the company’s priorities And a small trick before you enter the room to enhance your influence… Ask yourself: “What do I want them to feel?” Your intention shapes your tone and tone shapes the room. Ready? GO!

Every C-suite role speaks a different language. Each executive cares about different outcomes. Speak their language or get ignored. CEO cares about growth and risk. Don’t pitch features. Show how you help them scale faster, reduce risk, or hit strategic goals. CFO cares about cost and ROI. “This will improve productivity” is fluff. Quantify ROI. Speak in margins, efficiency, and risk reduction. COO cares about efficiency and execution. Don’t say “streamline.” Prove it. Show how you simplify operations, reduce friction, and accelerate delivery. CRO cares about pipeline and predictability. Don’t pitch dashboards. Show how you help them hit targets faster with fewer surprises. CMO cares about leads and attribution. Don’t promise “awareness.” Show how you convert demand into qualified pipeline. CHRO cares about retention and performance. Don’t pitch “engagement.” Tie your solution to stronger retention, faster onboarding, or better results. CIO/CTO cares about security and scalability. Don’t ignore technical friction. Address security upfront and show how you integrate with their existing stack. CPO cares about velocity and adoption. Don’t pitch features to a feature owner. Focus on how you accelerate outcomes or drive user adoption. Here’s what separates top sellers from the rest. They match the message to the metric. They speak outcomes, not features. They know what each role is measured on. If you can’t translate your solution into their priorities, you’re not ready for the meeting. Save this framework. Study it before your next executive call.

I pitched a LOT of internal data infrastructure projects during my time leading data teams, and I was (almost) never turned down. Here is my playbook for getting executive buy-in for complex technology initiatives: 1. Research top-level initiatives: Find something an executive cares about that is impacted by the project you have in mind. Example: We need to increase sales by 20% from Q2-Q4 2. Identify the problem to be overcome: What are the roadblocks that can be torn down through better infrastructure? Example: We do not respond fast enough to shifting customer demand, causing us to miss out on significant selling opportunities. 3. Find examples of the problem: Show leadership this is not theoretical. Provide use cases where the problem has manifested, how it impacted teams, and quotes from ICs on how the solution would have greatly improved business outcomes. Example: In Q1 of 2023 multiple stores ran out of stock for Jebb Baker’s BBQ sauce. We knew the demand for the sauce spiked at the beginning of the week, and upon retroactive review could have backfilled enough of the sauce. We lost an expected $3M in opportunities. (The more of these you can provide the better) 4. Explain the problem: Demonstrate how a failure of infrastructure and data caused the issue. Clearly illustrate how existing gaps led to the use case in question. Example: We currently process n terabytes of data per day in batches from 50 different data sources. At these volumes, it is challenging to manually identify ‘needle in the haystack’ opportunities, such as one product line running low on inventory. 5. Illustrate a better world: What could the future world look like? How would this new world have prevented the problem? Example: In the ideal world, the data science team is alerted in real-time when inventory is unexpectedly low. This would allow them to rapidly scope the problem and respond to change. 6. Create requirements: Define what would need to be true both technologically and workflow-wise to solve the problem. Validate with other engineers that your solution is feasible. 7. Frame broadly and write the proposal: Condense steps 1-5 into a summarized 2-page document. While it is essential to focus on a few use cases, be sure not to downplay the magnitude of the impact when rolled out more broadly. 8. Get sign-off: Socialize your ideal world with potential evangelists (ideally the negatively impacted parties). Refine, refine, refine until everyone is satisfied and the outcomes are realistic and achievable in the desired period. 9. Build a roadmap: Lay out the timeline of your project, from initial required discovery sessions to a POC/MVP, to an initial use case, to a broader rollout. Ensure you add the target resourcing! 10. Present to leadership alongside stakeholders: Make sure your biggest supporters are in the room with you. Be a team player, not a hero. Good luck! #dataengineering

Your CEO thinks your data platform is a waste of money. And they're right. Not because it doesn't work. Because you can't explain why it matters. I just watched a $5M data initiative get killed. The platform was brilliant. The pitch was garbage. The brutal disconnect: You: "We need a modern data stack with real-time ETL pipelines." CEO: "So... expensive computers?" You: "No, it's about data governance and—" CEO: "Next agenda item." Budget gone. Team disbanded. Career stalled. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝗺𝗶𝘀𝘀𝗲𝗱: CEOs don't buy platforms. They buy outcomes. And you're selling the wrong thing. 𝗧𝗵𝗲 𝘁𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻 𝘁𝗵𝗲𝘆 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗻𝗲𝗲𝗱: ❌ "Data pipeline" ✅ "Sales numbers you can trust by 8 AM" ❌ "Data governance" ✅ "The reason we won't get fined $10M" ❌ "Real-time analytics" ✅ "See problems before customers complain" ❌ "Modern data stack" ✅ "Stop paying 5 people to copy-paste spreadsheets" Same platform. Different story. One gets funded. One gets fired. 𝗧𝗵𝗲 𝟯-𝗺𝗶𝗻𝘂𝘁𝗲 𝗽𝗶𝘁𝗰𝗵 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀: 𝗠𝗶𝗻𝘂𝘁𝗲 𝟭: The pain they already feel. "Remember when the board asked why revenue was down and it took us 3 weeks to answer? That's what this fixes." 𝗠𝗶𝗻𝘂𝘁𝗲 𝟮: The before/after. "Before: 5 people, 3 weeks, wrong answer. After: 1 dashboard, 3 seconds, right answer." 𝗠𝗶𝗻𝘂𝘁𝗲 𝟯: The ROI. "This saves $2M in manual work and prevents one lawsuit. Cost: $500K." Done. Funded. Built. 𝗧𝗵𝗲 𝘂𝗻𝗰𝗼𝗺𝗳𝗼𝗿𝘁𝗮𝗯𝗹𝗲 𝘁𝗿𝘂𝘁𝗵: Your technical excellence is worthless if nobody understands it. That cutting-edge architecture? Irrelevant. That perfect schema design? Nobody cares. That 99.99% uptime? Means nothing. Until you connect it to money, risk, or speed. 𝗧𝗵𝗲 𝗰𝗮𝗿𝗲𝗲𝗿-𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝘀𝗸𝗶𝗹𝗹 𝗻𝗼𝗯𝗼𝗱𝘆 𝘁𝗲𝗮𝗰𝗵𝗲𝘀: It’s not building better platforms. It’s explaining why they matter. The best data leaders aren't just the smartest. They're the clearest. And clarity gets budgets. 👉 If you are moving from AI Pilots to Enterprise Platforms, let’s talk. I help leaders design the operating models that scale intelligent workflows across the organization. Save 💾 React 👍 Share ♻️ Follow 🔔

Winning Executive Buy-In for Data Initiatives As data leaders, one of our toughest challenges isn’t technical—it’s strategic storytelling. Securing executive buy-in for data initiatives requires more than dashboards and reports; it demands alignment with the language of business impact. Here’s the uncomfortable truth: most executives aren’t interested in the “how” of data. They care about outcomes—revenue growth, cost savings, customer satisfaction, and risk mitigation. If your pitch focuses on technicalities instead of value creation, you’ve already lost half the battle. So how do i believe we can win their support? 1. Frame Data as a Revenue Generator, Not a Cost Center Start with the business problem your initiative solves. For instance, instead of saying, “We need better data governance,” say, “By improving data governance, we can reduce compliance fines and unlock faster decision-making, potentially saving X million annually.” 2. Speak Their Language: KPIs Over Code Executives are driven by metrics. Highlight tangible ROI—whether it’s increasing customer retention by 10% through personalized AI recommendations or reducing operational costs by 15% through automated workflows. 3. Start Small, but Think Big Picture A pilot project with clear deliverables and measurable impact can be a powerful way to gain trust. Show results early, then scale. 4. Highlight the Risks of Inaction Sometimes, it’s not what you gain, but what you avoid, again sometimes. Whether it’s losing market share to data-savvy competitors or regulatory fines, frame inaction as the bigger cost. 5. Build Relationships, Not Just Cases Executive buy-in isn’t won in a single meeting. Invest in ongoing conversations, involve key stakeholders early, and tailor your pitch to their priorities. Transforming how organizations leverage data begins with leadership alignment. So the question is: How are you aligning your data strategy to what your executives care about most?

Stop talking about Power BI features to management. Here's my translation guide after 12 years of presenting to executives: 1. They Don't Care About Functionality What analysts say: "This uses advanced DAX and incremental refresh!" What executives think: "Technical details I don't have time for" Instead, talk about: • Money saved • Time freed up • Decisions improved • Risks avoided 2. Sell Solutions, Not Technology Wrong: "We built a semantic layer with enterprise-grade modeling" Right: "Your team can now answer their own questions without waiting for IT" Focus on: • Problems solved • Bottlenecks removed • Accuracy improved • Speed gained 3. Use Their Language Replace: "Data model" → "Single source of truth" "Automated refresh" → "Always up-to-date numbers" "DAX measures" → "Consistent calculations" "Row-level security" → "Protected sensitive data" 4. Connect to Their Goals Every presentation should link to: • Strategic initiatives • Cost reduction targets • Growth objectives • Risk management 5. Show Clear ROI What matters: • Hours saved per week • Decisions accelerated • Errors eliminated • Costs reduced Pro tip: Keep a running total of these impacts. 6. Focus on Business Outcomes Instead of: "We use DirectQuery for real-time data access" Say: "Reports now show live inventory levels" Instead of: "Built a star schema for consistent reporting" Say: "Everyone works from the same verified numbers" 7. Handle Technical Details Carefully Only share technical aspects that: • Directly impact business results • Address specific concerns • Demonstrate clear value • Support key decisions Remember: Your expertise isn't in Power BI. It's in helping leaders make better decisions with data. What communication approaches have worked for you? Share below 👇 — ♻️ Repost if your network needs to see this, and follow Austin Levine for more.