Understanding Cost Analysis

I used to think charging less would get me more clients. After my trip to the US I realised it just made them trust me less. when i was cheap, clients questioned everything. "why this approach?" "can we try something else?" "i'm not sure about this." so when i raised my rates, they trusted my decisions completely. same work. different psychology. so here's what i've basically realized about pricing: when someone sees a low price, their brain doesn't think "great deal." it thinks "what's the catch?" they start looking for problems. inexperience. desperation. corners being cut. low prices trigger fear of loss, not excitement about savings. but when they see premium pricing, something else happens. "if they can charge this much, they must deliver results." "other people are paying this, so the value must be there." "the risk of not solving this problem costs way more than the investment." premium pricing signals confidence in your work. think about it. rolex doesn't make better watches from a functionality standpoint. but the price tells you everything about what owning one means. same thing with services. a premium project isn't necessarily 10x better in execution. but the price signals experience, systems, proven results. and here's the shift that changed everything for me: i stopped anchoring clients to the price and started anchoring them to the outcome. not "this costs X" but "this will generate Y for your business, and the investment is X." when they're thinking about ROI, the price becomes secondary. your pricing isn't just a number. it's a signal to the market about who you are and what you deliver.

Data Models Series Part #3 𝗙𝗼𝗿 𝗺𝗼𝘀𝘁 𝗼𝗳 𝗺𝘆 𝗹𝗶𝗳𝗲, 𝘄𝗮𝗿 𝗱𝗶𝗱 𝗻𝗼𝘁 𝗳𝗲𝗲𝗹 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹. That is not to say the world was at peace. It never was. But war lived at a distance in history books, in specific geographies, in moments that came and went. It did not dominate every headline. It did not seep into everyday consciousness. Something has shifted. To say it feels personal now is not to diminish those for whom war is truly personal in loss, in displacement, in lived trauma. But it does feel closer. As if the world is holding more tension than before. Across countries, defence budgets are rising. Not just as a reaction but as a posture. Which raises a harder question: What does a world preparing for war actually build? Because history tells us something uncomfortable. The internet began as ARPANET. GPS was built for military navigation. Jet engines and Nuclear energy accelerated through wartime aviation. Modern computing advanced through codebreaking. Drones moved from warfare to everyday use. War destroys. But it also accelerates innovation. And in that acceleration, it builds economies. Defence spending funds research, sustains industries, creates companies, and spills into civilian life. If we step back and look at armies today, another shift emerges. The United States spends ~$850B with ~1.3M active personnel optimised for technological superiority. India has similar active military personnel, far larger reserves, and spends under $80B, balancing scale with capability. Vietnam has extraordinary reserve depth shaped by history and mobilisation. And then there is Iran. A far smaller budget, but a different model, missiles, drones, decentralised deterrence. Not matching scale, but adapting around it. All are very different expressions of power. Which tells us something important. For most of history, strength could be approximated by size. That equation is breaking. Power is moving from manpower to technology. From visible scale to embedded capability. Drones over divisions. Cyber over borders. Systems over soldiers. So a large army today tells only part of the story. The real question is: What sits behind the army? Technology depth. Industrial capability. Energy access. Speed of adaptation. This is why semiconductors, AI, cybersecurity, and energy are no longer separate conversations. They are defence conversations. Because a world preparing for war does not only prepare for conflict. It reshapes innovation, industry, and incentives. Which leaves us with a paradox we rarely examine closely: The same systems that enable conflict often drive scientific acceleration. Not for humanity's progress but for the destruction of other humans. So the question is not whether defence spending will grow. It will. The deeper question is: War builds economies, and peace is rarely a moral choice. Peace becomes an economic choice, with human suffering as collateral. Picture Credits: Visual Capitalist

🌍 New paper out in Nature Climate Change on a critical question for climate policy: How does policy sequencing impact energy decarbonization? Led by Huilin Luo and Wei Peng, with Allen Fawcett, Jessica Green, Gokul Iyer, Jonas Nahm and David G. Victor Our team used advanced energy modeling to examine "carrots" (subsidies like those in the Inflation Reduction Act) vs. "sticks" (carbon pricing) - and crucially, the ORDER in which they're deployed. Key findings: ✅ Carrots alone don't achieve deep decarbonization – sticks are needed ✅ Near-term impacts of carrots vary widely by sector and consistency ✅ Timing is critical: delaying carbon pricing by 20 years (vs. 10) increases the eventual price needed by 40% ✅ Carrots boost green industries but don't significantly phase out fossil fuels - sticks are essential for that ✅ With rapid innovation, carrots followed quickly by sticks can be nearly as cost-effective as leading with carbon pricing The research bridges political science and energy modeling to analyze real-world policy tradeoffs. While carbon taxes are economically "first-best," political reality often requires starting with industrial policy - making the transition strategy crucial. Check out Mark Purdon’s great commentary on the paper: Green Industrial Policy Is Not Enough for Deep Decarbonization https://lnkd.in/gURqCbUE Read the full paper: https://lnkd.in/gW52_bcC #ClimatePolicy #EnergyTransition #ClimateScience #InflationReductionAct #Decarbonization

The producer price index (PPI) data are showing the inflationary effects of tariffs in the form of higher domestic prices made of metals. This occurs through two mechanisms: (i) domestic producers being forced to raise prices because total landed costs for imported inputs have risen and (ii) tariffs of foreign goods increase the pricing power of domestic producers to raise their prices. Two charts below. Thoughts: •The top chart shows the PPI data for aluminum production and processing (https://lnkd.in/dMWSE5Vk). Since January, prices have risen 16.5%, and are getting close to the record high prices from April 2022, which took place after Russia invaded Ukraine and aluminum prices soared. Year-over-year, prices are up 21.1%, which is higher than the peak year-over-year price increase back in 2018 right after the original aluminum tariffs went not place (which was 18.0% in June 2018). •As reported by Bloomberg (https://lnkd.in/g6t4UqBP), London Metal Exchange (LME) aluminum prices haven’t changed in Europe and Japan over the past few months. As such, attributing the US increase in domestic prices of to the tariffs is justifiable. •Perhaps more compelling in the PPI for domestically produced steel cans and tinware products (https://lnkd.in/dx87v6JE). Prices have spiked 12.8% since January. Importantly, almost all steel cans used by food manufacturers that are consumed in the USA are made in the USA, but roughly 70% of the tinplate steel we consume is imported. Tinplate cannot be made by electric arc furnaces due to impurity issues, so the US imports most of its tinplate needs from the EU and Canada. Tinplate wasn’t subject to tariffs in 2018-2019, which helps explain minimal price movement. Implication: if you buy aluminum or steel, either domestically made or imported, you are paying far higher prices today than in a counterfactual world where these tariffs aren’t announced. Ultimately, higher prices for intermediate inputs hurt export competitiveness even in the absence of retaliatory tariffs (see https://lnkd.in/gx8utP94). If the 2018 tariffs are a guide, lost competitiveness will take months to play itself out. #supplychain #economics #manufacturing #freight   

Ukrainian instructors were shocked by the reckless use of air defense systems in the Gulf countries. According to Ukrainian military personnel, multiple missiles are often launched at a single target — up to eight Patriot interceptors costing around $3 million each — even when dealing with relatively simple threats. There have been cases where SM-6 missiles, costing about $6 million, were used to destroy inexpensive drones, even though the “Shahed” drones themselves cost roughly $70,000. In interviews, Ukrainian specialists emphasized that their approach is based on efficiency: using the minimum number of missiles per target whenever possible and avoiding the unnecessary use of expensive interceptors. “I have no idea what our allies were watching for four years while we were at war,” said Ukrainian military instructors currently in the Middle East. Notably, in the first 96 hours of operations against Iran, the U.S. and its allies used about 5,200 munitions of 35 types, including 168 Tomahawk missiles in 100 hours. Over 12 days, total costs reached $16.5 billion. According to President Volodymyr Zelenskyy, Middle Eastern countries launched more than 800 Patriot interceptors in just three days. Ukraine, over four years of war, has received just over 600 such interceptors. Rheinmetall CEO Armin Papperger noted that, at this pace, the U.S. could run out of air defense missiles within a month. It turns out that in the conflict with Iran, Washington’s main challenge is not finances but production capacity. The U.S. defense industry cannot rapidly scale output because: • missile production can take up to 36 months; • supply chains depend on critical components largely sourced from China; • there is outdated equipment and a shortage of skilled labor. The current ammunition shortage poses risks to other priorities, including support for Ukraine and the deterrence of China. Source: Anton Gerashchenko, The Times

Are You Spending Too Much to Acquire a Customer, Or Not Enough? E-commerce brands often focus on lowering their customer acquisition costs (CAC). But what if cutting CAC is actually hurting growth? The real question isn’t just how much does it cost to acquire a customer? It’s how much should you be spending? If you knew with certainty that a customer would generate $500 in long-term profit, would you hesitate to spend $100 to acquire them? Probably not. But many brands take a one-size-fits-all approach, capping CAC at an arbitrary percentage of their first purchase revenue. This can lead to underinvestment in acquiring high-value customers and overinvestment in customers who won’t stick around. A better approach is to align CAC with long-term customer equity, not just at a blended level, but dynamically across customer segments. Some customers have significantly greater revenue potential than others. The challenge is identifying which customers will create sustainable profitability over time. The chart illustrates that customer acquisition cost (CAC) and lifetime value (LTV) are not linear, spending more on acquisition can lead to higher-value customers, but only up to a certain point. Key Insights: There is an optimal CAC range. - Spending too little on CAC (left side of the chart) may result in acquiring lower-value customers, limiting long-term profitability. - Spending too much (right side of the chart) can lead to diminishing returns, where LTV does not justify the extra spend.   The breakeven threshold matters. - The red dashed line represents where CAC = LTV, meaning any spend above this line is unprofitable unless justified by strategic goals (e.g., market share growth). Smarter spending, not just lower spending, drives profitability. - Many brands mistakenly focus only on reducing CAC, but the real goal is to align CAC with future LTV dynamically across customer segments. What This Means for Retailers Instead of asking, “How much does it cost to acquire a customer?”, the real question is: - How much should we spend to acquire the right customers? - How long will it take to break even on acquisition costs? - Which acquisition channels and products lead to the highest-value customers? Retailers who leverage AI-driven insights to align CAC with future Customer Equity, not just at a blended level but dynamically across customer segments, can spend smarter, scale faster, and drive long-term profitability. If you want to go deeper on this topic, Professor Peter Fader has done extensive research on customer-centric growth strategies. Check out this fascinating podcast with Nick Hague on how businesses can take a more data-driven approach to optimizing CAC. https://lnkd.in/eGu5EM5g #CustomerAcquisition #EcommerceGrowth #MarketingStrategy #CustomerEquity #GrowthMarketing #CACvsLTV #RetailStrategy #Profitability #WGBTpodcast

Mastering the Sales Lingo 💼 Every finance and accounting professional needs to speak the same language as their sales team. When sales says "we booked $50K this month" and finance shows $12K in revenue, confusion follows. Understanding these key terms will help you communicate better with stakeholders and build more accurate forecasts. ➡️ BOOKING VS SALE VS REVENUE Booking happens when a customer commits to buying, typically signing a contract. A sale refers to when a customer gets billed or invoiced for a portion of the contract. Revenue is what you've earned, not necessarily billed or collected, based on accrual accounting. These three events can happen months apart, which is why your sales team celebrates while your P&L looks flat. ➡️ MONTHLY RECURRING REVENUE (MRR) MRR is the predictable monthly amount you expect from active subscriptions. This metric helps you forecast cash flows and understand your baseline business performance. For SaaS companies, MRR is often more important than total revenue because it shows sustainability. ➡️ CHURN, EXPANSION, AND CONTRACTION Churn is what you lose in revenue or customers in a given time period. Expansion happens when an existing customer increases their spend mid-contract. Contraction occurs when a customer reduces their contract value but doesn't cancel. These three metrics together tell you whether your customer base is growing or shrinking. Net revenue retention combines all three to show your true growth from existing customers. ➡️ CUSTOMER ACQUISITION COST (CAC) CAC is the total cost to acquire one new customer. Include sales salaries, marketing spend, software tools, and any other costs directly related to bringing in new business. Divide your total acquisition costs by the number of new customers acquired in that period. If you spent $10K on sales and marketing last month and gained 5 new customers, your CAC is $2K. Smart finance teams track CAC alongside customer lifetime value to ensure profitable growth. ➡️ PIPELINE AND WEIGHTED PIPELINE Pipeline represents all active deals in progress. Weighted pipeline adjusts for likelihood of closing, giving you a more realistic forecast. A $100K deal at 20% probability contributes $20K to your weighted pipeline. Smart finance teams use weighted pipeline to predict quarterly results and plan cash flows. === When you understand sales terminology, you can ask better questions during pipeline reviews. You'll spot discrepancies between sales reports and financial statements faster. Most importantly, you'll help your sales team forecast more accurately by teaching them how their bookings translate to recognized revenue. What sales term confuses you most? Share it below 👇

Every Saturday morning, I summarize and share a chapter of our book “Real Impact Marketing, 3rd edition. Capturing value, often via #pricing, is the final step after understanding customers, co-creating value, and communicating it. Value-based pricing sets prices based on the perceived value to the #customer, rather than solely on the seller's costs. The Apple iPhone example demonstrates this: charging a significant premium ($213) for larger memory that costs only $20 more to produce, reflecting the higher perceived value and willingness-to-pay of customers for more storage. Apple's strong pricing power allows it to capture a large share of industry profits. Achieving pricing #excellence through value-based pricing requires four key capabilities (the "House of Pricing"): 1.   Customer Data & Insights: Understanding customer value, benefits sought, willingness-to-pay, and segmenting accordingly (e.g., Swiss International Air Lines airfare pricing discriminating between direct vs. indirect flights; ORBITZ showing different hotel rankings to Mac vs. PC users). 2.   Economics: Understanding demand elasticity, costs (fixed, variable, sunk, avoidable, opportunity), and margins. The Barnes & Noble, Inc. example highlights the importance of considering sunk vs. avoidable costs and #opportunitycosts when pricing excess inventory. 3.   Price Management: Controlling pricing execution, particularly managing discounts and sales incentives. The #PriceWaterfall analysis (McKinsey & Company example) reveals "leakage" between list price and pocket price, helping identify and eliminate "stupid" discounts. 4.   #Psychology: Understanding how customers perceive prices and make decisions, considering fairness, negotiation tactics, and framing effects like anchoring. Experiments show anchoring effects in B2C (iPod gift choices) and #B2B (lawyer's fee estimation) scenarios. Digital Pricing uses technology to set and adjust prices dynamically based on real-time data. Its importance increases with customer data availability, large assortments, product perishability, purchase frequency, digital product usage (Adobe example), and low margins. Source: Michel/Duke (2022): Real Impact Marketing: Create a 1-page marketing plan, 3rd edition. ISBN 978-3907311035, available on Amazon as paperback, hardcover and e-book. If you like this post, follow me on LinkedIn. Go to my profile, click “follow”, click the bell icon, and click “all notifications”. If you think someone else would love to have this chapter for free, please repost.

A DTC fashion brand founder reached out to me, frustrated. "We’re spending lakhs on ads, but every new customer is costing us ₹1,200. How do we scale without burning money?" I checked their numbers: 📉 Customer Acquisition Cost (CAC): ₹1,200 📉 Repeat Purchase Rate: 12% (way below industry standards) 📉 Average Order Value (AOV): ₹1,800 (low margin for ad-heavy growth) 📉 ROAS: 2.1X (barely breaking even) They were stuck in the classic DTC trap: 🚨 Scaling cold traffic with direct sales ads 🚨 Over-relying on discounts to convert 🚨 No focus on repeat purchases or brand loyalty We flipped the strategy in 3 steps: 🔹 Built a Content-First Funnel → Instead of selling immediately, we warmed up cold traffic with: • UGC & influencer testimonials (trust-building) • "How to style" content (engagement) • Brand storytelling ads (higher click-through rates) 🔹 Reworked Retargeting → Instead of spamming discounts, we created: • Social proof ads (before & after styling looks) • Exclusive limited-edition drops for engaged audiences • Cart abandonment sequences with urgency-driven copy 🔹 Fixed Retention & LTV → Profits come from repeat customers, so we: • Introduced personalized post-purchase offers • Built a VIP program for early access & loyalty perks • Increased email + WhatsApp engagement (repeat buyers grew 2.3X) 💡 60 days later, here’s what changed: ✅ CAC dropped from ₹1,200 → ₹740 ✅ Repeat purchase rate jumped from 12% → 28% ✅ AOV increased from ₹1,800 → ₹2,300 ✅ Monthly revenue scaled from ₹15L → ₹24L 🚀 Scaling isn’t about cheaper ads. It’s about smarter customer journeys. If you’re struggling with CAC, ask yourself: ⚡ Are you educating cold audiences or just pushing sales? ⚡ Is your retargeting strategy fixing objections or just repeating the same ads? ⚡ Are you retaining customers or constantly chasing new ones? Fix your funnel, and you’ll scale profitably. What’s your biggest challenge in lowering CAC? Drop it below.👇 #DTCGrowth #ScalingStrategies #CACReduction #RetentionMarketing

💥 𝗬𝗼𝘂𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗥𝘂𝗻𝘀 𝗼𝗻 𝗖𝗼𝗱𝗲—𝗦𝗼 𝗪𝗵𝘆 𝗔𝗿𝗲 𝗬𝗼𝘂 𝗚𝗮𝗺𝗯𝗹𝗶𝗻𝗴 𝗪𝗶𝘁𝗵 𝗜𝘁? In 2024, UK businesses lost an estimated £3.6 million each due to IT failures. Yet, most companies still treat software maintenance as an afterthought—waiting for a breakdown before scrambling to fix it. Let’s be clear: downtime is 𝗡𝗢𝗧 a tech issue. It’s a revenue, reputation, and survival issue. When systems crash: 🚨 Revenue stops—Every minute costs an average of £4,300 in lost sales. 🚨 Customers leave—91% of UK consumers won’t return after a bad digital experience. 🚨 Reputation takes a hit—Frustrated users don’t wait; they switch. So why do so many businesses still react to failures instead of preventing them? 𝙏𝙝𝙚 𝙎𝙞𝙡𝙚𝙣𝙩 𝙆𝙞𝙡𝙡𝙚𝙧 𝙞𝙣 𝙔𝙤𝙪𝙧 𝙏𝙚𝙘𝙝 𝙎𝙩𝙖𝙘𝙠 Warning signs that your business is heading for a tech disaster: ⚠️ Frequent system crashes or slow performance—frustrating employees and customers alike. ⚠️ Delayed software updates & security patches—opening the door to cyberattacks. ⚠️ Unexpected outages during peak periods—costing thousands in lost sales. If any of these sound familiar, your business isn’t running software—it’s running on borrowed time. 𝙏𝙝𝙚 𝙎𝙢𝙖𝙧𝙩 𝙁𝙞𝙭: 𝙋𝙧𝙤𝙖𝙘𝙩𝙞𝙫𝙚 𝙎𝙤𝙛𝙩𝙬𝙖𝙧𝙚 𝙎𝙩𝙖𝙗𝙞𝙡𝙞𝙩𝙮 Preventing downtime isn’t about waiting for the next crisis. It’s about engineering resilience into your systems. 🔹 Emergency Bug Fixing & System Rollbacks – Rapid-response fixes to restore operations fast. 🔹 Automated Security Patching – Shield your business from compliance fines and cyber risks. 🔹 Scalability Planning – Ensure your systems can handle peak demand without breaking. 🔹 AI-Powered Monitoring – Catch small issues before they turn into major failures. At Full Metal Software, we specialise in Maintenance Rescue—helping UK businesses avoid IT catastrophes before they happen. 𝙇𝙚𝙩’𝙨 𝙏𝙖𝙡𝙠: 𝙄𝙨 𝙔𝙤𝙪𝙧 𝘽𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝘽𝙪𝙞𝙡𝙩 𝙛𝙤𝙧 𝙍𝙚𝙨𝙞𝙡𝙞𝙚𝙣𝙘𝙚? ❓ When was the last time your software was audited for risks? ❓ What’s your biggest challenge in keeping systems running 24/7? Let’s discuss how UK businesses can move from reacting to IT failures to building bulletproof systems that just work. 📩 Drop a comment or DM me if you want a free software health check—before the next outage costs you thousands. . . . . . #SoftwareReliability #BusinessContinuity #ITLeadership