Financial Impact Of Change Management

Revenue, we found, was merely a vanity metric. It's certainly fun to boast about, though. Beginning to focus on aspects like contribution margin and letting those drive everything we do was the most significant metric focus change we made. Understanding these vanity metrics took time. For example, you might achieve a nice ROAS, but if you're selling a product with a product gross margin 15 points lower than every product on your site, or, the returns % on that SKU is 5x higher, or because it's a bulkier product, the shipping cost is 3x the norm, it might look like ROAS is increasing or you're driving tons of conversions. However, the dollars flowing through your P&L are substantially reduced. At the end of the month or quarter, you might think you've crushed it. But then you realize you've generated no cash from it. Then as we started selling in multiple channels, we needed ways to evaluate where we should allocate a marginal dollar and unit of inventory in the most accretive way. Therefore, we could the best way to evaluate every sales channel performance on an apples-to-apples basis was by locking in contribution margin and contribution profit dollar generation on a sales channel basis. For us, this change was pivotal, especially getting to a place where we got daily contribution dollars and margin. Receiving a finance report at month's end is less actionable than needing daily feedback for decisions on budget allocation, channel tactics, and creative choices. Short-term contribution gains are not the thing you're looking for, but, rather, focusing on long-term, sustainable increases in contribution dollars is crucial. This shift fundamentally altered our approach and how we set goals for, and compensated, our team. What is contribution? It fundamentally involves accounting for your revenue, minus all costs tied to what you sell, including marketing costs, product COGs, shipping costs, credit card fees, returns, CX costs. Fixed costs are not included. What you pay for rent or your employees, isn't going to change if you do 1m this month of 10m this month. But the keys that are often overlooked are: You have to by dynamic and incorporate your latest product costing. You have to make sure you've incorporated product costs on all new products (we've missed this before), and shipping costs, returns estimates and CX ticket costs have to be tied to the actual SKU + order level to be useful. Of course, this is once you reach a certain level of sophistication, but the daily discipline of tracking all variable costs is essential at any stage. In sum, it's about how each marketing activity brings the marketing team closer to the bottom line, therefore empowering them to have more ownership of the P&L. More P&L ownership by more people in the org is essential for long term success because it drives the owner mentality in a larger percentage of the team. With a team full of owners, only good things can happen

The metrics that got you promoted in 2024 are about to get you questioned in 2027. MQLs.  Impressions.  Engagement rate. Your leadership has quietly stopped believing them, and soon they'll stop asking about them entirely. What replaces them is a different language, and the marketers who learn it early will be the ones still in the room. 5 metrics your leadership will actually ask about, and you should start tracking now: 👉 Incremental pipeline. Not "influenced," not "sourced." This pipeline exists only because of marketing and would not exist otherwise. 👉 CAC payback period. How many months until a customer pays back what it cost to acquire them? This is the number that decides your budget, and most marketers can't state it. 👉 Marketing-influenced NRR. Retention and expansion, not just acquisition. The leadership knows keeping a customer is cheaper than winning one. Marketing that drives expansion is about to get taken far more seriously. 👉 Brand search trend. Branded search volume over time is the closest proxy for the demand you actually created. It's slow, it's honest, and it can't be faked with ad spend. 👉 Contribution margin per channel. Not ROAS. This is the actual margin after the fully loaded cost of the channel. This metric ends the "which channel do we cut" argument for good. 𝐓𝐡𝐞 𝐬𝐡𝐢𝐟𝐭: 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐢𝐬 𝐦𝐨𝐯𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐦𝐞𝐭𝐫𝐢𝐜𝐬 𝐭𝐨 𝐟𝐢𝐧𝐚𝐧𝐜𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬. Learn the language before you're asked to speak it. Which of these can your team report today? Follow #socialJJ to read more of my posts. #marketing

SMED – How to Cut Changeover Time and Boost Efficiency Is changeover time slowing down your production? Every minute spent switching from one task, product, or machine setup is lost productivity. That’s where SMED (Single-Minute Exchange of Die) comes in. SMED is a Lean method used to reduce changeover time—turning lengthy setups into fast, efficient transitions. The goal? Get changeovers down to single-digit minutes (less than 10). ⸻ Why is SMED Important? ✅ Reduces downtime – Faster changeovers mean more production time. ✅ Increases flexibility – Smaller batch sizes and quicker adjustments to demand. ✅ Boosts efficiency – More output with the same resources. ✅ Lowers costs – Reduces inventory, scrap, and excess labor. ⸻ The SMED Process – 3 Key Steps 1️⃣ Separate Internal vs. External Tasks • Internal = Tasks that can only be done when the machine is stopped. • External = Tasks that can be done while the machine is running (e.g., preparing tools, materials). Goal: Convert as many internal tasks as possible into external ones to reduce stoppage time. 2️⃣ Streamline Internal Setup • Use quick-release mechanisms and standardized settings to minimize adjustments. • Keep tools and materials organized and within reach. 3️⃣ Eliminate Waste & Standardize the Process • Remove unnecessary steps. • Use visual guides, checklists, and dedicated setup stations. • Train employees on best practices to ensure consistency. ⸻ Example in Action A manufacturing plant used SMED to reduce a 90-minute machine changeover to 12 minutes by: 🔹 Pre-staging tools and materials before the machine stopped. 🔹 Replacing bolts with quick-clamp fixtures. 🔹 Using standardized settings instead of manual adjustments. The result? More production time, lower costs, and higher output. ⸻ The Power of SMED SMED isn’t just for manufacturing—it applies to any process with setup time, from hospital procedures to office work (think switching between tasks efficiently). Video by Nilson Rodrigues da Silva and Lean Institute Brasil

The VP wanted to reduce scrap. I asked if I could talk to the machine operators first. He looked confused. "Why? They don't understand the financials." "No. But they understand the machines." --- I spent 30 minutes with Maria, a machine operator with 12 years on that line. "What causes the most scrap?" I asked. "The temperature fluctuates 15 degrees during changeovers. Takes 45 minutes to stabilize." "How often do you do changeovers?" "Four times a day. Every day." Quick math: 3 hours of unstable production daily = 15% scrap rate during that window. "Have you told anyone about this?" She shrugged. "I mentioned it to a supervisor three years ago. Nothing happened. So I stopped mentioning things." --- Quick question: How many improvement ideas have your employees stopped sharing because nothing ever happened? --- I brought Maria into the meeting with the VP. She explained the temperature issue. He asked: "How would you fix it?" She had three solutions ready. She'd been thinking about it for THREE YEARS. --- Solution #1 (her recommendation): Preheat during setup = $2,500 investment. We tested it the next week. Scrap during changeovers: 15% → 3% Annual savings: $127,000. For a $2,500 fix. That Maria knew about for 1,095 days. --- The VP asked her: "What else could we improve?" She paused. "You actually want to know?" "Yes." She pulled out a notebook. She had 14 ideas written down. Fourteen ideas. Collecting dust. Because no one had asked. --- We implemented 8 of her 14 ideas over six months. Combined annual impact: $340,000 in savings. The VP told me later: "I had a gold mine on my floor and I was ignoring it." --- Here's what most manufacturing owners get wrong: They think expertise lives in the office. It lives on the floor. The people touching the machines every day know things you'll never see from your desk. They know: → Which processes waste time → Which materials cause problems → Which methods actually work → Which "solutions" created new problems They've been trying to tell you for years. You just weren't listening. --- Try this: Pick 3 employees who've been with you longest. Ask them: "If you could change one thing to make your job easier, what would it be?" Then actually do it. Even if it's small. Show them you're listening. The $100K ideas will follow. --- Your turn: What's stopping you from asking your team for improvement ideas? --- #ManufacturingExcellence #EmployeeEngagement #ContinuousImprovement #OperationalExcellence #LeanManufacturing

CMOs call marketing an engine for growth. CFOs call it a primary lever of enterprise value creation. One speaks in brand equity, customer acquisition, engagement, and monetization.  The other speaks in margins and profitability. When these departments don’t align,  ↳ Investments get slashed,  ↳ Performance stalls,  ↳ Growth suffers. But when marketing and finance work with UNIFIED language and data.   Companies make smarter investments. Here are four key metrics that help CMOs and CFOs speak the same language: 1. Customer Acquisition Cost (CAC) Formula: Total marketing spend ÷ New customers acquired CFOs ask, “How much are we spending per new customer? Can we lower it?” CMOs ask, “Which channels bring most efficiency, can we shift our budget?” CFOs want cost control, CMOs want better-performing channels.  ↳ Tracking CAC aligns both executives. 2. Customer Lifetime Value (LTV) Formula: (Avg. Purchase Value × Purchase Frequency × Margin Rate × Activity Rate) CFOs ask, “Are we making enough long-term revenue to justify CAC?” CMOs ask, “Should we increase LTV through engagement or monetization?” A CFO sees it as profitability over time, A CMO sees opportunities. ↳ Higher LTV justifies marketing investment. 3. Cash Payback Period Formula: CAC ÷ Gross Margin per Customer per Month CEOs ask, “How long before we earn back what we spent?” CMOs ask, “Which channels pay back fastest?” CFOs want liquidity, CMOs want reinvestment speed. ↳ A shorter payback period means faster growth cycles and less financial risk. 4. LTV:CAC Formula: Customer Lifetime Value ÷ Customer Acquisition Cost. CFOs ask: "Our financial plan requires a 3x ROI in 3 years-can you deliver?" CMOs ask: "Should I optimize for faster payback or a 3-year LTV:CAC target?" CFOs want financial justification, CMOs want strategic growth. ↳ A shared LTV:CAC view aligns investment decisions. CFOs and CMOs don’t need to agree on everything,  but they do need to align on the data that drives GROWTH. Start with blended performance, Then look at leading indicators for Paid. The last thing you want is debating attribution with a CEO or investor, When you're not even aligned on the core metrics above. Don't manage marketing as an expense,  Manage it as an investment. Track the right numbers, speak the same language, and watch your business grow. * * * I talk about the real mechanics of growth, data, and execution. If that’s what you care about, let’s connect.

Metrics don’t matter until they move budgets. If you want clients to pay attention, start reporting what ties directly to business imperatives. Here are the 4 metric buckets that consistently get clients to pay attention: 1// Revenue Impact This is the category that gets the fastest reaction because it ties directly to how the business sustains itself. Revenue impact is about growth as well as protecting margin, reducing unnecessary spend, and making investments easier to justify internally. It’s proof that the work is valuable beyond theory. And when market dynamics get tighter, these are the metrics that help your work survive scrutiny because they answer the question leadership is always asking: What are we gaining or saving by doing this? 2// Time & Efficiency Efficiency is all about reducing the time it takes to execute, make decisions, and deliver outcomes. It’s removing friction from the system: breaking down silos, eliminating bottlenecks, reducing handoffs, and decreasing the drag that slows teams down. Time is one of the few metrics every client agrees is expensive. 3// Risk Avoidance & Business Protection There’s a difference between delivering work and protecting a business. The best partners help clients avoid the kinds of issues that don’t show up until it’s too late. The strongest metrics quantify how you reduce exposure across the areas that can quietly derail an organization: reputation risk, financial risk, operational risk, compliance risk, and stakeholder trust. 4// Adoption & Behavior Change This is where good work becomes lasting work. Adoption metrics show whether the work actually made it into the real world: into workflows, decision-making, habits, and day-to-day execution. They also tell you whether the change is sustainable without constant pushing. When adoption is strong, you have momentum, internal advocates, and a solution that is woven into the company's ways of working not just a temporary initiative. The point is to track and showcase the right metrics. Because clients rarely remember every detail. They remember whether the work... ⏳ saved time 💵 drove revenue 🛡️ protected the business 📈 and created durable change. ---------------- 👋🏽 Hi I'm Denise and I work with pharma, startups, and investors to translate empathy into strategy and measurable outcomes. Follow for more insights & book me on Hubble!

Disney just spent $1 billion on AI. Not to replace animators. To solve a problem most studios ignore: variations cost almost as much as originals. Creating 10 variations of a marketing asset used to require full production cycles. Review meetings, approval chains, render time, team coordination. Now: prompt-driven generation from existing asset libraries. Cost per variation dropped from thousands to dollars. Here's how to do this in your business: 1. Audit where you're manually creating variations Pull reports on content production for the last quarter. Filter for derivative work: social posts, email variations, ad formats, localized content. Calculate hours spent on variations vs original content. Most teams waste 40-60% of production time on derivatives. 2. Build pre-approved asset libraries Create folders of brand-approved visuals, copy templates, and style guidelines. Get legal and compliance sign-off once on the entire library. Tag assets by use case, audience, and channel. This eliminates per-output review cycles. 3. Use APIs, not standalone AI tools Connect AI directly into your CMS, DAM, or social scheduling platform. Avoid tools that require exporting and reformatting outputs. Integration should remove steps, not add them. Test: if AI adds more than one click to your workflow, it's wrong. 4. Constrain before you scale Limit which assets AI can access in phase one. Start with lowest-risk content: social variations, email subject lines, ad copy. Expand permissions only after you've proven the review process works. Constraints reduce verification overhead by 80%. 5. Shift from per-output to per-library review Stop reviewing every AI-generated asset individually. Review and approve the source library once. Monitor outputs with spot-checks, not line-by-line edits. Your team should validate systems, not outputs. 6. Measure marginal cost reduction Track cost per variation before and after AI implementation. Include team hours, tool costs, and review cycles. Target: 70-90% reduction in marginal production costs. If you're not seeing this, your integration is wrong. Why this works: Creative teams aren't threatened, they're empowered to experiment more. The bottleneck was never ideas. It was the cost of executing variations. Solve execution cost by removing production barriers, not people. Found this helpful? Follow Arturo Ferreira.

CFO: "We need to cut costs." You: "Don't worry, I won't touch quality." Here's how to do both: 1. Consolidate Suppliers 12 agencies across 4 departments = zero leverage. Consolidate to 3 specialists. Map spend → Identify overlaps → Negotiate volume discounts. Expected savings: 15-25% | Quality: Better 2. Renegotiate Contracts Don't wait for renewal. Gather market pricing → Document your value → Approach 6 months early → Ask for 10-20% off. Expected savings: 10-20% | Quality: None 3. Eliminate Redundant Tools Canva AND Adobe? Zoom AND Teams? Pick one per use case. Audit subs → Identify overlaps → Standardize. Expected savings: 20-30% | Quality: Better 4. Right-Size Service Levels Paying for 24/7 support you never use. Match SLAs to actual needs. Analyze usage → Identify over-specs → Downgrade where appropriate. Expected savings: 10-15% | Quality: None 5. Implement Usage-Based Pricing Paying for 1,000 seats when 600 are active. Move to consumption models. Audit usage → Negotiate flex licenses → Implement harvesting. Expected savings: 15-25% | Quality: Better 6. Leverage Payment Terms Negotiate Net 60/90 for large suppliers. Take 2% discount for Net 10 on others. Optimize for cash flow. Expected savings: 2-5% | Quality: None 7. Shift to Outcome-Based Contracts Stop paying for hours; pay for results. Define success metrics → Structure payment around outcomes → Share risk. ❌ "$200/hour" ✅ "$50K bonus if we hit target" Expected savings: 10-20% | Quality: Better 8. Automate Low-Value Purchases 1,000 sub-$500 purchases waste time. Implement P-cards → Set up Amazon Business → Auto-approve under threshold. Expected savings: Processing costs | Quality: Better Real Example: $50M SaaS company saved $750K (15%): → Consolidated IT: $180K → Renegotiated contracts: $220K → Cut redundant software: $150K → Right-sized services: $90K → Usage-based licensing: $110K The Framework: Quick wins (30 days): Cut redundant tools, audit usage Medium-term (60-90 days): Renegotiate contracts, consolidate spend Strategic (6-12 months): Outcome-based contracts, automate tail spend What NOT to Do: ❌ Across-the-board 10% cuts ❌ Switch to cheapest supplier without vetting ❌ Cut training or strategic initiatives The Mindset: Cost reduction ≠ Cheap. Cost reduction = Smart. You're removing waste, optimizing structure, and aligning cost with value. That's strategic procurement.

ROAS is DEAD. If that's all you're tracking, you're setting your brand up to fail. Most of the eCom founders in the 7-figure range I talk to see ROAS as the holy grail. But if your growth strategy revolves around one metric, you're missing the bigger picture. I’m seeing a lot of brands get trapped in this loop, thinking high ROAS equals real success. Here’s the truth: ROAS is only a piece of the puzzle. To build a profitable, scalable brand, you need to start looking at metrics that give you a full view of your business’s financial health. Here’s what we focus on to drive sustainable growth: MER (Marketing Efficiency Ratio) - Tells you how efficiently every marketing dollar is generating revenue across ALL channels. LTV (Customer Lifetime Value) - Understand how much each customer is worth over time, so you can spend more to acquire the right ones. Contribution Margin - The real money after ad spend, COGS, fulfillment and other variable costs—critical for scaling without bleeding money. Each of these metrics provides insights that ROAS alone can’t. They’re the numbers that drive decision-making for brands serious about scaling. With years of experience scaling Shopify stores to 7-and-8-figure success, I’ve seen firsthand that focusing on ROAS alone is a recipe for missed potential. Our team shifted to a broader financial strategy early on, and it's been a game-changer for our clients’ bottom line. Are you tracking these metrics, or is ROAS still your primary focus? Let me know in the comments

Stop counting people. Start counting what you deliver for every dollar. Illustration: A regional warehouse keps missing ship times. Three handoffs. One re-check loop. Overtime spikes. SLAs slip. Then they change one lane: Same team. Two small cobots. Two handoffs removed. Clear owner for the flow. Orders per shift go up 28%. Errors fall. Cost per order drops. Fewer 2 a.m. saves. That’s “throughput per dollar.” Customers feel it as speed and fewer mistakes. Boards see it as lower cost per outcome. Both matter. Where teams go wrong: • Automate steps but keep the same handoffs. • Track hours and headcount, not output. • Buy robots without redesigning the flow. • Reward “savings,” not reliability. Do a 30-day pilot: 1. Pick one workflow end to end (pack → label → ship, or intake → triage → resolve). 2. Time every step. Mark waiting, rework, handoffs. 3. Remove two handoffs. Let software/cobot do repeats; keep humans on exceptions and judgment. 4. Name one owner for the whole flow. 5. Measure four things: • Units per hour per dollar • First-pass yield (no rework) • Response time • Tickets/injuries/overtime Add guardrails: • Safety first. Clear stop rules. • Train for new roles (exception handling, quality). • Maintenance plan and spare parts. • Fallback if the robot or model fails. What to stop doing: • “Utilization” dashboards that hide customer pain. • Headcount cuts without flow redesign. • Chasing full automation when a hybrid wins now. This isn’t about replacing people. + It’s about designing smarter teams. + Let AI/robots handle repeats. + Let humans use judgment. + Raise what you deliver per dollar - on the floor and in the boardroom. 📩 Rewiring ops for “throughput per dollar” with AI + robotics? Let’s talk. 📬 Subscribe to BRIDGE: https://lnkd.in/gCdavukQ ♻️ Repost if your teams still count heads instead of outcomes ➕ Follow Adi Agrawal | Bridge the Gap