{"product_id":"cold-spray-technology-kpi-metrics","title":"What Are The 5 Key KPIs For Cold Spray Coating Service Business?","description":"\u003cdiv class=\"container_new_design\"\u003e\n\u003cdiv class=\"text-section text-1_new_design\"\u003e\n\u003cdiv class=\"line_top\"\u003e\u003c\/div\u003e\n\u003ch2\u003eKPI Metrics for Cold Spray Coating Service\u003c\/h2\u003e\n\u003cp\u003eThe Cold Spray Coating Service operates in a high-margin, high-capital environment, demanding strict control over utilization and quality This guide covers seven core Key Performance Indicators (KPIs) essential for profitability, focusing on operational efficiency and cost management We project 2026 revenue at \u003cstrong\u003e$213 million\u003c\/strong\u003e, aiming for a Gross Margin above \u003cstrong\u003e80%\u003c\/strong\u003e Review these metrics weekly to ensure you hit the projected EBITDA of $485,000 in the first year and achieve payback within 25 months\n\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"image-section image-1_new_design\" id=\"main_article_image\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\n\u003cspan style=\"color: #6067F2;\"\u003e7 KPIs to Track for \u003c\/span\u003eCold Spray Coating Service\u003c\/h2\u003e\u003cbr\u003e\n\u003ctable id=\"dwnld_tbl_id\"\u003e\n\u003ctr\u003e\n\u003cth\u003e#\u003c\/th\u003e\n\u003cth\u003eKPI Name\u003c\/th\u003e\n\u003cth\u003eMetric Type\u003c\/th\u003e\n\u003cth\u003eTarget \/ Benchmark\u003c\/th\u003e\n\u003cth\u003eReview Frequency\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003eMachine Utilization Rate (MUR)\u003c\/td\u003e\n\u003ctd\u003eCapacity\u003c\/td\u003e\n\u003ctd\u003eTargeting 75%+ to justify the high CAPEX\u003c\/td\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eGross Margin Percentage (GMP)\u003c\/td\u003e\n\u003ctd\u003eProfitability\u003c\/td\u003e\n\u003ctd\u003eAiming for 80%+ given the high fixed overhead structure\u003c\/td\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003eAverage Selling Price (ASP) per Unit\u003c\/td\u003e\n\u003ctd\u003eRevenue\u003c\/td\u003e\n\u003ctd\u003eStarting at roughly $5,836 in 2026 and increasing yearly\u003c\/td\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003eDirect Material Cost per Unit (DMCU)\u003c\/td\u003e\n\u003ctd\u003eCost Control\u003c\/td\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd\u003eMonthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003eMonths to Payback (MTP)\u003c\/td\u003e\n\u003ctd\u003eInvestment Recovery\u003c\/td\u003e\n\u003ctd\u003eAiming to hit the projected 25-month target\u003c\/td\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003eFirst Pass Yield (FPY)\u003c\/td\u003e\n\u003ctd\u003eQuality\u003c\/td\u003e\n\u003ctd\u003eTargeting 98%+\u003c\/td\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003ctd\u003eSales Pipeline Conversion Rate (SPCR)\u003c\/td\u003e\n\u003ctd\u003eSales Efficiency\u003c\/td\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd\u003eWeekly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"dwnld_btn_div\"\u003e\u003cbutton id=\"dwnld_btn_id\" class=\"dwnld_btn_clss\"\u003eDownload Table in XLSX\u003c\/button\u003e\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWhich metrics truly drive our high-value revenue streams?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eThe primary driver for high-value revenue isn't just the $15,000 Average Selling Price (ASP) of Engine Case Repair; it's the \u003cstrong\u003econtribution margin\u003c\/strong\u003e that service generates after direct costs, a concept critical to understanding \u003ca href=\"\/blogs\/profitability\/cold-spray-technology\"\u003eHow Increase Cold Spray Coating Service Profits?\u003c\/a\u003e. You must prioritize jobs where the margin percentage outweighs the volume of the lower-priced $3,200 Pump Housing Coating jobs. You defintely need to know the variable cost structure for both services to manage cash flow effectively.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eHigh-Ticket Profit Anchor\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eEngine Case Repair (ECR) ASP is \u003cstrong\u003e$15,000\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eThis job type sets the ceiling for monthly profitability.\u003c\/li\u003e\n\u003cli\u003eCalculate direct costs (materials, specialized setup time) precisely.\u003c\/li\u003e\n\u003cli\u003eIf ECR has a \u003cstrong\u003e75%\u003c\/strong\u003e contribution margin, profit is $11,250 per job.\u003c\/li\u003e\n\u003cli\u003eOne ECR job can fund several weeks of operational fixed costs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eVolume vs. Value Tradeoff\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003ePump Housing Coating (PHC) ASP is only \u003cstrong\u003e$3,200\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003ePHC requires high volume to match ECR profit dollars.\u003c\/li\u003e\n\u003cli\u003eIf PHC margin is \u003cstrong\u003e55%\u003c\/strong\u003e, profit is $1,760 per job.\u003c\/li\u003e\n\u003cli\u003eYou need \u003cstrong\u003e6.4\u003c\/strong\u003e PHC jobs to equal the profit of one ECR job.\u003c\/li\u003e\n\u003cli\u003eSales incentives should reflect this 6:1 profit ratio difference.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eHow quickly can we recover the initial $124 million capital investment?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eThe initial \u003cstrong\u003e$124 million capital investment\u003c\/strong\u003e for the Cold Spray Coating Service is projected to be recovered within \u003cstrong\u003e25 months\u003c\/strong\u003e by rigorously tracking cumulative cash flow against that total expenditure, which is the key metric for validating this timeline; for deeper operational insights on boosting margins, review \u003ca href=\"\/blogs\/profitability\/cold-spray-technology\"\u003eHow Increase Cold Spray Coating Service Profits?\u003c\/a\u003e.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eTracking the $124M Burn\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eMap monthly operating cash flow against the \u003cstrong\u003e$124M\u003c\/strong\u003e initial outlay.\u003c\/li\u003e\n\u003cli\u003eThe \u003cstrong\u003e25-month\u003c\/strong\u003e target requires reaching \u003cstrong\u003e$4.96 million\u003c\/strong\u003e net cash inflow monthly.\u003c\/li\u003e\n\u003cli\u003eEnsure all fixed asset purchases are capitalized correctly under CAPEX.\u003c\/li\u003e\n\u003cli\u003eReview the depreciation schedule impact on taxable income quarterly.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eHiting the 25-Month Mark\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIf average project revenue is \u003cstrong\u003e$50,000\u003c\/strong\u003e, you need \u003cstrong\u003e100 projects\u003c\/strong\u003e monthly.\u003c\/li\u003e\n\u003cli\u003eVariable costs must stay under \u003cstrong\u003e35%\u003c\/strong\u003e of revenue to support required contribution.\u003c\/li\u003e\n\u003cli\u003eIf onboarding takes \u003cstrong\u003e9 months\u003c\/strong\u003e, the first \u003cstrong\u003e$44.6M\u003c\/strong\u003e must be covered by financing.\u003c\/li\u003e\n\u003cli\u003eDelay in securing major defense contracts pushes payback past \u003cstrong\u003eQ1 2026\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eAre our fixed and variable costs scaling appropriately with revenue growth?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eYou must ensure the Total Operating Expense Ratio shrinks as revenue grows, specifically by managing the \u003cstrong\u003e65% variable SG\u0026amp;A\u003c\/strong\u003e against your \u003cstrong\u003e$332,400 annual fixed costs\u003c\/strong\u003e; this is the core metric to watch as you scale the Cold Spray Coating Service, as detailed in \u003ca href=\"\/blogs\/write-business-plan\/cold-spray-coating-service\"\u003eHow To Write A Business Plan To Launch Cold Spray Coating Service?\u003c\/a\u003e.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eInitial Cost Structure\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eVariable Selling, General, and Administrative (SG\u0026amp;A) is high at \u003cstrong\u003e65% of revenue\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eFixed overhead sits at \u003cstrong\u003e$332,400 annually\u003c\/strong\u003e, regardless of project volume.\u003c\/li\u003e\n\u003cli\u003eIf revenue is $500,000, variable costs are $325,000, making total OpEx $657,400.\u003c\/li\u003e\n\u003cli\u003eThis results in an initial OpEx\/Revenue ratio of \u003cstrong\u003e131.5%\u003c\/strong\u003e, meaning you're losing money.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eRequired Operating Leverage\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTo become profitable, the OpEx ratio must fall below 100%.\u003c\/li\u003e\n\u003cli\u003eScaling from $89M to $213M requires major efficiency gains in operations.\u003c\/li\u003e\n\u003cli\u003eIf you hit $213M revenue, variable costs alone are $138.45M.\u003c\/li\u003e\n\u003cli\u003eYou defintely need sales growth to outpace the $332,400 fixed base quickly.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWhat is the true cost of quality failure or rework in this high-precision environment?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eThe true cost of quality failure for your Cold Spray Coating Service is measured by tracking First Pass Yield (FPY), as every failure point directly inflates operational expenses beyond the initial service quote; understanding these startup expenses is crucial, so review \u003ca href=\"\/blogs\/startup-costs\/cold-spray-coating-technology\"\u003eHow Much To Start Cold Spray Coating Service?\u003c\/a\u003e. For AS9100 compliance, achieving an FPY above \u003cstrong\u003e95%\u003c\/strong\u003e is essential to keep rework and scrap costs manageable, likely under \u003cstrong\u003e5%\u003c\/strong\u003e of total job value. If onboarding takes 14+ days, churn risk rises defintely.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eQuantifying Failure Costs\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eFPY is jobs done right first time divided by total jobs started.\u003c\/li\u003e\n\u003cli\u003eIf FPY hits \u003cstrong\u003e90%\u003c\/strong\u003e, \u003cstrong\u003e10%\u003c\/strong\u003e of revenue is immediately eaten by rework costs.\u003c\/li\u003e\n\u003cli\u003eRework labor might cost \u003cstrong\u003e50%\u003c\/strong\u003e of the original job price.\u003c\/li\u003e\n\u003cli\u003eScrap material loss is often \u003cstrong\u003e100%\u003c\/strong\u003e of material cost plus disposal fees.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eAS9100 Quality Levers\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAS9100 demands documented, repeatable quality control processes.\u003c\/li\u003e\n\u003cli\u003eLow FPY increases exposure to costly warranty claims and penalties.\u003c\/li\u003e\n\u003cli\u003eAim for \u003cstrong\u003ezero-defect\u003c\/strong\u003e culture for mission-critical components.\u003c\/li\u003e\n\u003cli\u003eTrack downtime caused by failed inspections; that's hidden overhead.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cdiv class=\"card_smpl\"\u003e\n\n\u003cdiv class=\"double_border\"\u003e\n\n\u003cdiv class=\"card_smpl_header\"\u003e\n\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\n\u003ch3\u003eKey Takeaways\u003c\/h3\u003e\n\n\u003c\/div\u003e\n\n\u003cul class=\"lst_crct_blog\"\u003e\n\n\u003cli\u003eAchieving the targeted 80%+ Gross Margin is essential to offset high fixed overhead costs associated with capital-intensive operations.\u003c\/li\u003e\n\n\u003cli\u003eThe primary financial objective is validating the business model by recovering the $124 million initial capital expenditure within the projected 25-month payback window.\u003c\/li\u003e\n\n\u003cli\u003eTo justify significant CAPEX, the Machine Utilization Rate (MUR) must be actively managed to consistently remain above the 75% benchmark.\u003c\/li\u003e\n\n\u003cli\u003eQuality control, measured by a First Pass Yield (FPY) target of 98% or higher, directly impacts profitability by minimizing costly rework and scrap.\u003c\/li\u003e\n\n\u003c\/ul\u003e\n\n\u003c\/div\u003e\n\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 1\n: \u003cspan style=\"color: #126CFF;\"\u003eMachine Utilization Rate (MUR)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eMachine Utilization Rate (MUR) shows what percentage of the time your cold spray system is actually running jobs versus sitting idle. For a business with a \u003cstrong\u003e$124 million\u003c\/strong\u003e capital expenditure (CAPEX), this metric is critical for covering fixed costs. If the machine isn't spraying, you aren't earning back that massive investment.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eMaximizes return on the \u003cstrong\u003e$124M\u003c\/strong\u003e asset investment.\u003c\/li\u003e\n\u003cli\u003eDirectly drives revenue capacity without adding more fixed overhead.\u003c\/li\u003e\n\u003cli\u003eImproves Gross Margin Percentage (GMP) by spreading fixed costs thinner.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eCan lead to prioritizing low-value jobs just to keep the machine running.\u003c\/li\u003e\n\u003cli\u003eMay cause quality dips if operators rush setups or changeovers.\u003c\/li\u003e\n\u003cli\u003eIgnores the \u003cstrong\u003eFirst Pass Yield (FPY)\u003c\/strong\u003e; running junk fast is still junk.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor specialized, high-precision capital equipment like this, industry standards often look for utilization above \u003cstrong\u003e75%\u003c\/strong\u003e. Hitting this benchmark is the baseline needed to achieve the projected \u003cstrong\u003e25-month Months to Payback (MTP)\u003c\/strong\u003e period. Anything consistently below \u003cstrong\u003e65%\u003c\/strong\u003e signals serious trouble covering your fixed operating costs.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eReduce non-productive time between jobs (setup, cleaning).\u003c\/li\u003e\n\u003cli\u003eSchedule preventative maintenance during off-peak hours or weekends.\u003c\/li\u003e\n\u003cli\u003eImprove Sales Pipeline Conversion Rate (SPCR) to feed the machine consistently.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate MUR by dividing the hours the system was actively spraying metal by the total hours it was scheduled to be available. This metric must be tracked daily to ensure you hit the \u003cstrong\u003e75%+\u003c\/strong\u003e target required for the investment thesis to hold up.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nMUR = Active Spray Hours \/ Total Available Hours\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay you operate the system across two shifts, 5 days a week, totaling 80 available hours per week. If the machine was actively spraying for 60 of those hours, your utilization is exactly 75%. If you only hit 50 hours, you missed the target by \u003cstrong\u003e12.5 percentage points\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nMUR = 60 Active Spray Hours \/ 80 Total Available Hours = 0.75 or \u003cstrong\u003e75%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack setup time separately from actual spray time.\u003c\/li\u003e\n\u003cli\u003eSet daily utilization targets based on available shifts (e.g., 16 hours\/day).\u003c\/li\u003e\n\u003cli\u003eTie operator performance reviews to MUR improvement, not just output volume.\u003c\/li\u003e\n\u003cli\u003eReview utilization against the \u003cstrong\u003eAverage Selling Price (ASP)\u003c\/strong\u003e to ensure high-value work is prioritized.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e \u003ch2\u003eKPI 2\n: \u003cspan style=\"color: #126CFF;\"\u003eGross Margin Percentage (GMP)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eGross Margin Percentage (GMP) tells you how much money is left after paying for the direct costs of delivering your service. It shows the profitability of the actual work done before accounting for rent or salaries. For this high-CAPEX operation, hitting \u003cstrong\u003e80%+\u003c\/strong\u003e is critical because fixed overhead is substantial.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eShows true profitability per project.\u003c\/li\u003e\n\u003cli\u003eGuides pricing strategy against material costs.\u003c\/li\u003e\n\u003cli\u003eHighlights efficiency gains in the spray process.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eCan mask high operating expenses (SG\u0026amp;A).\u003c\/li\u003e\n\u003cli\u003eIgnores depreciation on major assets like the spray system.\u003c\/li\u003e\n\u003cli\u003eA high number might mask quality issues leading to future warranty claims.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor specialized industrial services like precision repair, benchmarks often range widely, but aiming for \u003cstrong\u003e75% to 90%\u003c\/strong\u003e is common for software-enabled hardware services. Since your fixed overhead is massive due to the \u003cstrong\u003e$124 million\u003c\/strong\u003e CAPEX, anything below \u003cstrong\u003e80%\u003c\/strong\u003e puts serious pressure on hitting that 25-month payback target.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAggressively raise the Average Selling Price (ASP) above the initial \u003cstrong\u003e$5,836\u003c\/strong\u003e target.\u003c\/li\u003e\n\u003cli\u003eReduce Direct Material Cost per Unit (DMCU) by locking in powder and gas contracts.\u003c\/li\u003e\n\u003cli\u003eMaximize Machine Utilization Rate (MUR) to spread fixed costs over more billable hours.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate GMP by taking total revenue, subtracting the total cost of goods sold (COGS), and dividing that result by revenue. COGS here includes all direct materials and direct labor tied to the specific repair or manufacturing job.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nGMP = (Revenue - Total COGS) \/ Revenue\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay a complex component repair job brings in \u003cstrong\u003e$15,000\u003c\/strong\u003e in revenue, and the direct costs-the metal powder, process gases, and direct technician time-total \u003cstrong\u003e$2,500\u003c\/strong\u003e. Here's the quick math to see the margin on that specific project:\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nGMP = ($15,000 - $2,500) \/ $15,000 = 0.833 or \u003cstrong\u003e83.3%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eThis \u003cstrong\u003e83.3%\u003c\/strong\u003e margin is strong, but you need to ensure that high First Pass Yield (FPY) of \u003cstrong\u003e98%+\u003c\/strong\u003e holds up so you don't incur rework costs that slash this number.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack GMP monthly, not just quarterly.\u003c\/li\u003e\n\u003cli\u003eEnsure COGS includes all direct consumables, like specialized gas mixes.\u003c\/li\u003e\n\u003cli\u003eIf FPY drops, GMP will suffer due to rework costs.\u003c\/li\u003e\n\u003cli\u003eReview ASP changes against GMP to see if price hikes are defintely being eroded by material inflation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 3\n: \u003cspan style=\"color: #126CFF;\"\u003eAverage Selling Price (ASP) per Unit\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eAverage Selling Price (ASP) per Unit tells you the average money you bring in for every single repair or manufactured part you finish. It's crucial because it shows if your pricing strategy matches the high value of heat-free cold spray services. For Kinetic Metalworks, this metric starts around \u003cstrong\u003e$5,836\u003c\/strong\u003e in \u003cstrong\u003e2026\u003c\/strong\u003e and needs to climb yearly to reflect increasing operational maturity.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eMeasures pricing power on mission-critical component work for defense and aerospace clients.\u003c\/li\u003e\n\u003cli\u003eTracks success when shifting focus to higher-value additive manufacturing projects.\u003c\/li\u003e\n\u003cli\u003eProvides a clear input for accurate revenue forecasting based on projected job volume.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAverages hide the mix between small repairs and large additive manufacturing runs.\u003c\/li\u003e\n\u003cli\u003eIt doesn't reflect profitability; a high ASP could still yield poor margins if Direct Material Cost per Unit (DMCU) rises unexpectedly.\u003c\/li\u003e\n\u003cli\u003eIt can be heavily skewed by one-off, extremely large defense contracts, making monthly tracking noisy.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor specialized industrial services dealing with aerospace and defense components, ASPs vary wildly based on complexity. Simple component restoration might fall in the low thousands, but complex additive manufacturing jobs can easily exceed \u003cstrong\u003e$20,000\u003c\/strong\u003e per unit. Tracking your \u003cstrong\u003e$5,836\u003c\/strong\u003e starting point against these high-end benchmarks shows where you defintely need to focus your sales efforts to maximize revenue capture.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003ePrioritize securing additive manufacturing projects over basic repair contracts.\u003c\/li\u003e\n\u003cli\u003eDevelop tiered pricing structures based on material alloy complexity and required quality certification levels.\u003c\/li\u003e\n\u003cli\u003eEnsure sales compensation heavily rewards closing jobs with ASPs above the projected \u003cstrong\u003e$5,836\u003c\/strong\u003e baseline.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate this by dividing all the money earned in a period by the number of jobs finished that period. This gives you the average revenue per unit sold, which is key for understanding pricing realization.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nASP per Unit = Total Revenue \/ Total Units Sold\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eIf you had a strong quarter in 2027, say total revenue hit \u003cstrong\u003e$400,000\u003c\/strong\u003e from completing \u003cstrong\u003e60\u003c\/strong\u003e distinct component repairs or builds, the math is straightforward. You divide the total revenue by the number of units to see the average price captured per job.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nASP per Unit = $400,000 \/ 60 Units = $6,666.67\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eSegment ASP by service type: repair versus new additive manufacturing.\u003c\/li\u003e\n\u003cli\u003eWatch the ratio of ASP to Direct Material Cost per Unit (DMCU) closely.\u003c\/li\u003e\n\u003cli\u003eReview ASP trends weekly to catch pricing drift or contract mix changes early on.\u003c\/li\u003e\n\u003cli\u003eTie any proposed pricing increases directly to improvements in First Pass Yield (FPY).\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 4\n: \u003cspan style=\"color: #126CFF;\"\u003eDirect Material Cost per Unit (DMCU)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eDirect Material Cost per Unit (DMCU) tells you exactly what the raw materials cost for one specific repair or manufactured part. This metric is crucial because it directly impacts your Gross Margin Percentage (GMP), especially when your target GMP is high, like the \u003cstrong\u003e80%+\u003c\/strong\u003e you need here. You must track this monthly to manage the price swings of specialized powders and gases.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003ePinpoints material waste on specific jobs.\u003c\/li\u003e\n\u003cli\u003eAllows precise costing for the \u003cstrong\u003eAverage Selling Price (ASP)\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eHelps negotiate better bulk pricing for powders.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eDoesn't capture labor or machine time costs.\u003c\/li\u003e\n\u003cli\u003eVolatile input prices (powder\/gas) make tracking hard.\u003c\/li\u003e\n\u003cli\u003eAverages hide high costs on complex, low-volume jobs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor high-precision aerospace component repair, DMCU should ideally be a small fraction of the final ASP. If your ASP is around \u003cstrong\u003e$5,836\u003c\/strong\u003e (2026 projection), you want your material cost to be low single digits percentage-wise, maybe \u003cstrong\u003e5% to 15%\u003c\/strong\u003e, depending on the complexity of the powder deposition. If DMCU spikes above \u003cstrong\u003e20%\u003c\/strong\u003e, your \u003cstrong\u003e80%+ GMP\u003c\/strong\u003e target is defintely at risk. If onboarding takes 14+ days, churn risk rises.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eLock in long-term supply contracts for core metal powders.\u003c\/li\u003e\n\u003cli\u003eOptimize spray parameters to reduce overspray and waste.\u003c\/li\u003e\n\u003cli\u003eStandardize material usage protocols across all job types.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate DMCU by totaling the cost of all consumables used for a specific job type and dividing that by the number of units completed in that batch. This isolates the material input cost, ignoring labor and overhead, which is key for managing procurement risk.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nDMCU = Total Cost of Consumables (Powder + Gas) \/ Total Units Repaired\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay you run a batch focused on \u003cstrong\u003eTurbine Blade Repair\u003c\/strong\u003e. You need to sum up the cost of the specific metal powder and the inert gas used for that entire run. If the total material cost for the batch was \u003cstrong\u003e$10,000\u003c\/strong\u003e and you successfully repaired \u003cstrong\u003e20 blades\u003c\/strong\u003e, the DMCU for that job type is calculated below.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nDMCU = $10,000 \/ 20 Units = $500 per Unit\n\u003c\/div\u003e\n\u003cp\u003eThis means the material cost for that specific repair job type is \u003cstrong\u003e$500\u003c\/strong\u003e, matching the expected unit cost for that service.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack DMCU separately for repair vs. additive manufacturing jobs.\u003c\/li\u003e\n\u003cli\u003eReview material invoices against DMCU monthly to catch price hikes.\u003c\/li\u003e\n\u003cli\u003eTie material purchasing decisions directly to the Machine Utilization Rate (MUR).\u003c\/li\u003e\n\u003cli\u003eEnsure procurement logs every gas cylinder change to accurately allocate utility costs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 5\n: \u003cspan style=\"color: #126CFF;\"\u003eMonths to Payback (MTP)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eMonths to Payback (MTP) shows how long it takes for your project's incoming cash flow to cover the initial money you spent to start. It's crucial for high-CAPEX businesses because it measures investment recovery speed. If you spend big upfront, you need a fast MTP to start realizing profit.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eQuickly assesses capital efficiency for large expenditures.\u003c\/li\u003e\n\u003cli\u003eHighlights the urgency of achieving positive net cash flow.\u003c\/li\u003e\n\u003cli\u003eDirectly informs financing and runway planning decisions.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIgnores cash flows occurring after the payback date.\u003c\/li\u003e\n\u003cli\u003eDoesn't account for the time value of money (discounting).\u003c\/li\u003e\n\u003cli\u003eCan incentivize short-term cash generation over long-term value.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor projects requiring massive initial capital expenditure, like specialized industrial equipment, MTP benchmarks vary wildly. A target under 36 months is often seen as aggressive for deep tech investments. Hitting the projected \u003cstrong\u003e25-month\u003c\/strong\u003e goal here signals exceptional early operational success.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAccelerate revenue by increasing Machine Utilization Rate (MUR).\u003c\/li\u003e\n\u003cli\u003eBoost Gross Margin Percentage (GMP) by optimizing input costs.\u003c\/li\u003e\n\u003cli\u003eImprove Sales Pipeline Conversion Rate (SPCR) to land high-value jobs faster.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nMTP = Total Initial CAPEX \/ Average Monthly Net Cash Flow\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eWe need to track cumulative net cash flow until it surpasses the total initial investment of \u003cstrong\u003e$124 million\u003c\/strong\u003e. To hit the \u003cstrong\u003e25-month\u003c\/strong\u003e target, the business must generate an average of \u003cstrong\u003e$4.96 million\u003c\/strong\u003e in net cash flow every month.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nRequired Monthly Cash Flow = $124,000,000 \/ 25 Months = $4,960,000 per Month\n\u003c\/div\u003e\n\u003cp\u003eIf the first 12 months average only $4.5 million monthly, the payback period immediately extends past the 25-month goal, showing you're behind schedule.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack cumul\native cash flow monthly, not just revenue.\u003c\/li\u003e\n\u003cli\u003eEnsure CAPEX definition includes all setup costs, defintely.\u003c\/li\u003e\n\u003cli\u003eModel scenarios if ASP drops below the projected \u003cstrong\u003e$5,836\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eFocus on high-margin repairs first to accelerate cash buildup.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 6\n: \u003cspan style=\"color: #126CFF;\"\u003eFirst Pass Yield (FPY)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFirst Pass Yield (FPY) tells you what percentage of parts pass quality inspection the very first time you run them through the process. For Kinetic Metalworks, this means components meet strict \u003cstrong\u003eAS9100 standards\u003c\/strong\u003e without needing rework or being scrapped. It's the clearest measure of how well your cold spray process is controlled from start to finish.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eDirectly protects your \u003cstrong\u003eGross Margin Percentage (GMP)\u003c\/strong\u003e by eliminating rework labor and material waste.\u003c\/li\u003e\n\u003cli\u003eMaintains high throughput, keeping your \u003cstrong\u003eMachine Utilization Rate (MUR)\u003c\/strong\u003e focused on revenue-generating jobs.\u003c\/li\u003e\n\u003cli\u003eBuilds client trust, which supports charging premium prices like the projected \u003cstrong\u003e$5,836+ Average Selling Price (ASP)\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eLow FPY means rework eats into capacity needed to hit the \u003cstrong\u003e25-month Months to Payback (MTP)\u003c\/strong\u003e target.\u003c\/li\u003e\n\u003cli\u003eRework on high-value aerospace parts often requires specialized setup time, increasing operational friction.\u003c\/li\u003e\n\u003cli\u003eIf FPY consistently misses the \u003cstrong\u003e98%+\u003c\/strong\u003e target, clients may question the reliability of the heat-free process.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor critical component repair in defense and aerospace, the benchmark for FPY is aggressive: you must target \u003cstrong\u003e98%+\u003c\/strong\u003e. Falling below 95% signals serious process drift that needs immediate attention. These high standards are necessary because the cost of a failure downstream far outweighs the cost of inspection now.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eStandardize powder handling and storage to control material quality variation.\u003c\/li\u003e\n\u003cli\u003eImplement automated visual inspection checks immediately post-spray, before final dimensional checks.\u003c\/li\u003e\n\u003cli\u003eReview and update the \u003cstrong\u003eSales Pipeline Conversion Rate (SPCR)\u003c\/strong\u003e process to ensure clients understand quality tolerances upfront.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eTo calculate FPY, you divide the number of components that pass all quality checks on the first attempt by the total number of components you started processing. This metric ignores scrapped parts; it focuses only on the efficiency of getting a part right the first time.\u003c\/p\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eImagine you run a batch of \u003cstrong\u003e100\u003c\/strong\u003e components through the cold spray machine this week. After the first round of quality checks, \u003cstrong\u003e94\u003c\/strong\u003e parts are perfect and ready to ship. The remaining \u003cstrong\u003e6\u003c\/strong\u003e parts need minor material addition to meet specifications, meaning they require rework.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003eFPY = (94 Units Passed First Inspection \/ 100 Total Units Started)\u003c\/div\u003e\n\u003cp\u003eIn this scenario, your First Pass Yield is \u003cstrong\u003e94%\u003c\/strong\u003e. You need to figure out why those 6 parts failed the initial inspection to push that number toward the \u003cstrong\u003e98%+\u003c\/strong\u003e goal.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack FPY by specific material powder being used, as different inputs behave differently.\u003c\/li\u003e\n\u003cli\u003eSegment FPY results between repair jobs and new additive manufacturing runs.\u003c\/li\u003e\n\u003cli\u003eIf rework is necessary, log the specific reason for failure (e.g., porosity, thickness error).\u003c\/li\u003e\n\u003cli\u003eReview FPY trends monthly alongside \u003cstrong\u003eDirect Material Cost per Unit (DMCU)\u003c\/strong\u003e to see if material quality is driving issues.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 7\n: \u003cspan style=\"color: #126CFF;\"\u003eSales Pipeline Conversion Rate (SPCR)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSales Pipeline Conversion Rate (SPCR) measures how efficiently you turn prospects who qualify for your service into actual signed contracts. For Kinetic Metalworks, this KPI shows the effectiveness of converting serious inquiries-those needing specialized cold spray repair or additive manufacturing-into revenue-generating projects. The \u003cstrong\u003eTechnical Sales Engineer\u003c\/strong\u003e reviews this metric every week.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eShows immediate sales process friction points.\u003c\/li\u003e\n\u003cli\u003eDirectly links sales activity to contract closure success.\u003c\/li\u003e\n\u003cli\u003eHelps accurately predict revenue based on lead volume.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIgnores the value of the closed deal (ASP variance).\u003c\/li\u003e\n\u003cli\u003eCan be misleading if lead qualification standards slip.\u003c\/li\u003e\n\u003cli\u003eLong aerospace sales cycles obscure short-term conversion trends.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor complex, high-value industrial services targeting defense and aerospace, benchmarks are highly variable. A healthy SPCR often falls between \u003cstrong\u003e20% and 40%\u003c\/strong\u003e, depending on how many leads require custom engineering validation before quoting. You must establish your own baseline against the projected \u003cstrong\u003e$5,836\u003c\/strong\u003e Average Selling Price (ASP) per Unit.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eShorten the time between initial technical assessment and formal quote delivery.\u003c\/li\u003e\n\u003cli\u003eTrain the sales team to better articulate the value over traditional welding repair.\u003c\/li\u003e\n\u003cli\u003eIncrease the frequency of joint review sessions between sales and engineering staff.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eTo find your SPCR, take the total number of contracts you signed in a period and divide it by the number of leads that passed the initial qualification stage in that same period. This shows the conversion efficiency of your pipeline.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nSPCR = (Number of Closed Deals \/ Number of Qualified Leads)\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSuppose last week, your team engaged with \u003cstrong\u003e50\u003c\/strong\u003e qualified leads from major defense contractors. Out of those 50, you successfully signed contracts for \u003cstrong\u003e10\u003c\/strong\u003e new repair or manufacturing jobs. Here's the quick math:\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nSPCR = (10 Closed Deals \/ 50 Qualified Leads) = 0.20 or \u003cstrong\u003e20%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eA 20% conversion rate means you need 5 qualified leads to generate one contract. If you need to hit your \u003cstrong\u003e80%+\u003c\/strong\u003e Gross Margin Percentage (GMP) targets, you need to ensure these leads are high-quality.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eSegment SPCR by the type of service (repair vs. new part manufacturing).\u003c\/li\u003e\n\u003cli\u003eTrack the average time spent in the proposal stage before closing.\u003c\/li\u003e\n\u003cli\u003eIf SPCR lags, check if the Technical Sales Engineer is spending too much time on low-probability leads.\u003c\/li\u003e\n\u003cli\u003eIt's defintely important to correlate conversion success with the complexity of the required First Pass Yield (FPY) standard.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e","brand":"FinancialModelsLab","offers":[{"title":"Default Title","offer_id":49303540236531,"sku":"cold-spray-technology-kpi-metrics","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/6191\/2762\/files\/cold-spray-technology-kpi-metrics.webp?v=1782679283","url":"https:\/\/financialmodelslab.com\/products\/cold-spray-technology-kpi-metrics","provider":"Financial Models Lab","version":"1.0","type":"link"}