{"product_id":"viatical-settlement-kpi-metrics","title":"What Are The 5 KPIs For Viatical Settlement Brokerage 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 Viatical Settlement Brokerage\u003c\/h2\u003e\n\u003cp\u003eRunning a Viatical Settlement Brokerage means managing high regulatory risk and complex two-sided acquisition costs You must track 7 core KPIs across acquisition, efficiency, and profitability to survive the initial cash burn of 18 months, aiming for breakeven by June 2027 Initial Seller Acquisition Cost (CAC) starts high at $3,000, and Buyer CAC is $15,000 in 2026, so efficiency is paramount Crucially, your variable costs (Medical Underwriting, Escrow) total 120% of the policy value, significantly outpacing the 400% variable commission, creating an immediate gross margin challenge that must be fixed fast\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\u003eViatical Settlement Brokerage\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\u003eSeller Acquisition Cost (CAC)\u003c\/td\u003e\n\u003ctd\u003eCost Efficiency\u003c\/td\u003e\n\u003ctd\u003eTarget $2,000 by Year 3 (down from $3,000 initial)\u003c\/td\u003e\n\u003ctd\u003eMonthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eBuyer Acquisition Cost (CAC)\u003c\/td\u003e\n\u003ctd\u003eCost Efficiency\u003c\/td\u003e\n\u003ctd\u003eMust justify high initial $15,000 CAC with high LTV\u003c\/td\u003e\n\u003ctd\u003eQuarterly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003eGross Margin Percentage (GM%)\u003c\/td\u003e\n\u003ctd\u003eProfitability\u003c\/td\u003e\n\u003ctd\u003eMust be positive immediately; Variable Costs are 120% of AOV\u003c\/td\u003e\n\u003ctd\u003eWeekly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003eAverage Policy Value (AOV) by Buyer Segment\u003c\/td\u003e\n\u003ctd\u003eRevenue Driver\u003c\/td\u003e\n\u003ctd\u003eHedge Funds ($300k), Settlement Firms ($200k), Institutions ($500k)\u003c\/td\u003e\n\u003ctd\u003eMonthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003ePolicy Case Cycle Time (Days)\u003c\/td\u003e\n\u003ctd\u003eOperational Efficiency\u003c\/td\u003e\n\u003ctd\u003eTarget 10% annual reduction\u003c\/td\u003e\n\u003ctd\u003eWeekly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003eBuyer Repeat Order Rate\u003c\/td\u003e\n\u003ctd\u003eRetention\/Loyalty\u003c\/td\u003e\n\u003ctd\u003eHedge Funds show 25x transactions annually\u003c\/td\u003e\n\u003ctd\u003eQuarterly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003ctd\u003eMonths to Breakeven\u003c\/td\u003e\n\u003ctd\u003eRunway\/Liquidity\u003c\/td\u003e\n\u003ctd\u003eProjected 18 months (June 2027)\u003c\/td\u003e\n\u003ctd\u003eMonthly\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;\"\u003eHow do we ensure customer acquisition costs align with long-term value?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eTo align acquisition costs with long-term value for the Viatical Settlement Brokerage, you must model Lifetime Value (LTV) against the projected \u003cstrong\u003e$15,000\u003c\/strong\u003e Buyer CAC and \u003cstrong\u003e$3,000\u003c\/strong\u003e Seller CAC for 2026, ensuring LTV is defintely at least \u003cstrong\u003e3x\u003c\/strong\u003e the cost; understanding the underlying \u003ca href=\"\/blogs\/operating-costs\/viatical-settlement\"\u003eWhat Are Viatical Settlement Brokerage Operating Costs?\u003c\/a\u003e helps set realistic contribution margins for this calculation. This modeling requires segmenting LTV based on buyer type, specifically separating returns from Hedge Funds versus Institutions due to their different repeat purchase rates.\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\u003eCAC Target Setting\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTarget LTV must exceed \u003cstrong\u003e3x\u003c\/strong\u003e total Customer Acquisition Cost (CAC).\u003c\/li\u003e\n\u003cli\u003eBuyer CAC projection for 2026 is \u003cstrong\u003e$15,000\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eSeller CAC projection for 2026 is \u003cstrong\u003e$3,000\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eSegmentation by buyer type is mandatory for accuracy.\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\u003eBuyer Value Segmentation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eHedge Funds show one repeat behavior pattern.\u003c\/li\u003e\n\u003cli\u003eInstitutions have a distinct repeat rate profile.\u003c\/li\u003e\n\u003cli\u003eHigh-value buyers drive LTV growth significantly.\u003c\/li\u003e\n\u003cli\u003eTrack repeat transactions closely to validate assumptions.\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 profitability of a single transaction, and is the current commission structure viable?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eThe Viatical Settlement Brokerage model is currently unprofitable at the transaction level because variable costs are projected at \u003cstrong\u003e120% of the Average Value of Policy (AOV)\u003c\/strong\u003e, which far outstrips the \u003cstrong\u003e40% commission revenue plus $500 fixed fee\u003c\/strong\u003e. You need immediate pricing changes or severe cost negotiation.\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\u003eUnit Economics Are Negative\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eOn a $100,000 policy, revenue is $40,500 (40% + $500).\u003c\/li\u003e\n\u003cli\u003eVariable costs hit $120,000 (120% of AOV).\u003c\/li\u003e\n\u003cli\u003eThis results in a \u003cstrong\u003e$79,500 loss per transaction\u003c\/strong\u003e before fixed overhead.\u003c\/li\u003e\n\u003cli\u003eFocus growth on reducing the 120% variable spend immediately.\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\u003eTrack Underwriting Cost Variance\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eUnderwriting costs must be tracked by policy type (Cancer, ALS, Heart Disease).\u003c\/li\u003e\n\u003cli\u003eIf underwriting costs are high for \u003cstrong\u003eHeart Disease\u003c\/strong\u003e cases, that segment drags down overall margin.\u003c\/li\u003e\n\u003cli\u003eYou must understand the cost drivers behind the 120% variable spend; review detailed breakdowns like \u003ca href=\"\/blogs\/operating-costs\/viatical-settlement\"\u003eWhat Are Viatical Settlement Brokerage Operating Costs?\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003eThis segmentation is defintely key to setting accurate pricing tiers.\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 process a policy sale, and what operational bottlenecks exist?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eProcessing time for a policy sale, or Case Cycle Time, directly dictates how many cases your Case Managers can handle and how quickly capital moves; understanding this is crucial when you map out your strategy, as detailed in \u003ca href=\"\/blogs\/write-business-plan\/viatical-settlement\"\u003eHow To Write A Business Plan For Viatical Settlement Brokerage?\u003c\/a\u003e Bottlenecks in underwriting and escrow are the primary targets for tech intervention to accelerate settlement.\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\u003eMeasure Cycle Time Now\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack average time from initial seller inquiry to policy settlement.\u003c\/li\u003e\n\u003cli\u003eIdentify where the \u003cstrong\u003e120% variable costs\u003c\/strong\u003e are concentrated.\u003c\/li\u003e\n\u003cli\u003eUnderwriting and escrow steps typically cause the longest delays.\u003c\/li\u003e\n\u003cli\u003eFaster cycle time immediately frees up Case Manager capacity.\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\u003eSpeed Up Cash Flow\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAutomate data intake to reduce underwriting review time.\u003c\/li\u003e\n\u003cli\u003eUse technology to streamline the escrow process for fund release.\u003c\/li\u003e\n\u003cli\u003eIf onboarding takes \u003cstrong\u003e14+ days\u003c\/strong\u003e, churn risk rises sharply.\u003c\/li\u003e\n\u003cli\u003eReducing cycle time defintely improves the seller's immediate financial relief.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eAre we managing regulatory and fixed overhead costs efficiently as we scale?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eYour operating leverage hinges on keeping fixed costs, including your \u003cstrong\u003e$39,500 monthly overhead plus wages\u003c\/strong\u003e, low relative to revenue scaling from \u003cstrong\u003e$171 million\u003c\/strong\u003e in Year 1 to \u003cstrong\u003e$1.9 billion\u003c\/strong\u003e by Year 5. You must actively track the percentage of revenue consumed by your Legal Compliance Officer and regulatory filings to ensure compliance costs don't outpace sales growth.\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\u003eFixed Cost Absorption Rate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eManaging fixed costs for your Viatical Settlement Brokerage means absorbing that \u003cstrong\u003e$39,500 monthly overhead plus wages\u003c\/strong\u003e across ever-increasing sales volume; this is the definition of operating leverage. Understanding these initial requirements is key, which is why founders often look at resources like \u003ca href=\"\/blogs\/startup-costs\/viatical-settlement\"\u003eHow Much To Start Viatical Settlement Brokerage Business?\u003c\/a\u003e before scaling. As revenue jumps from \u003cstrong\u003e$171 million (Y1)\u003c\/strong\u003e to \u003cstrong\u003e$1,909 million (Y5)\u003c\/strong\u003e, the fixed dollar amount should remain relatively flat, driving margin expansion. Honestly, if fixed costs grow faster than revenue, you're building an expensive machine.\u003c\/p\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eFixed cost coverage improves dramatically year-over-year.\u003c\/li\u003e\n\u003cli\u003eY1 fixed cost is \u003cstrong\u003e0.023%\u003c\/strong\u003e of projected revenue ($39.5k \/ $171M).\u003c\/li\u003e\n\u003cli\u003eY5 fixed cost drops to \u003cstrong\u003e0.002%\u003c\/strong\u003e of projected revenue ($39.5k \/ $1.909B).\u003c\/li\u003e\n\u003cli\u003eThis assumes zero growth in the fixed cost base.\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\u003eMonitoring Compliance Spend\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack Legal Compliance Officer (LCO) salary as a percentage of sales.\u003c\/li\u003e\n\u003cli\u003eRegulatory Filings costs must not grow linearly with transaction volume.\u003c\/li\u003e\n\u003cli\u003eIf LCO cost is \u003cstrong\u003e$150k annually\u003c\/strong\u003e, it consumes \u003cstrong\u003e0.088%\u003c\/strong\u003e of Y1 revenue.\u003c\/li\u003e\n\u003cli\u003eBy Y5, that same LCO cost must consume less than \u003cstrong\u003e0.01%\u003c\/strong\u003e of revenue.\u003c\/li\u003e\n\u003cli\u003eIf compliance costs rise faster than revenue, you're defintely losing leverage.\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\u003eImmediate survival hinges on fixing the negative Gross Margin, where 120% variable costs currently crush the 40% variable commission structure.\u003c\/li\u003e\n\n\u003cli\u003eAchieving the projected 18-month breakeven milestone requires rigorous monthly tracking of cash burn against the projected May 2027 low point of -$1.456 million.\u003c\/li\u003e\n\n\u003cli\u003eDue to the high initial Buyer CAC of $15,000, strict modeling of Lifetime Value (LTV) to ensure a minimum 3x return is paramount for sustainable acquisition.\u003c\/li\u003e\n\n\u003cli\u003eLong-term profitability relies on maximizing retention efforts toward institutional buyers, especially Hedge Funds, due to their critical 25x annual repeat transaction rate.\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;\"\u003eSeller Acquisition Cost (CAC)\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\u003eSeller Acquisition Cost, or Seller CAC, tells you exactly how much money you spend on marketing to sign up one new policyholder looking to sell their life insurance policy. It's a critical measure because high acquisition costs eat directly into the commission margin you make from the transaction. If this number stays too high, you won't generate enough profit quickly enough to cover overhead.\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 marketing channel efficiency clearly.\u003c\/li\u003e\n\u003cli\u003eGuides budget allocation for seller outreach.\u003c\/li\u003e\n\u003cli\u003eDirectly impacts the timeline to profitability.\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 quality or size of the policy sold.\u003c\/li\u003e\n\u003cli\u003eCan be skewed by one-off, high-cost partnership fees.\u003c\/li\u003e\n\u003cli\u003eDoesn't account for seller churn if they withdraw the policy.\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 financial services connecting individuals to institutional assets, benchmarks are highly variable. Your starting point is an initial Seller CAC of \u003cstrong\u003e$3,000\u003c\/strong\u003e. The key benchmark here is the internal goal: drive that cost down to \u003cstrong\u003e$2,000\u003c\/strong\u003e by Year 3. Tracking against this internal reduction target is what matters most for scaling this specific marketplace.\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\u003eFocus marketing spend on channels yielding high Average Policy Value (AOV).\u003c\/li\u003e\n\u003cli\u003eImprove conversion rates on initial contact forms for policyholders.\u003c\/li\u003e\n\u003cli\u003eNegotiate better terms with medical providers for fast underwriting referrals.\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 Seller CAC, you divide all your spending on attracting sellers by the number of new sellers you actually onboarded that period. This is your total marketing budget allocated to seller acquisition divided by the count of successful new sellers.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nSeller CAC = Total Seller Marketing Spend \/ New Sellers Acquired\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\u003eLet's look at your 2026 projection. If you plan to spend \u003cstrong\u003e$500,000\u003c\/strong\u003e on seller marketing that year, and your efficiency target is a \u003cstrong\u003e$2,000\u003c\/strong\u003e CAC, you must acquire \u003cstrong\u003e250\u003c\/strong\u003e new sellers to meet that goal. If you miss the seller count, your CAC immediately increases, putting pressure on your runway.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n$2,000 CAC = $500,000 Total Marketing Spend \/ 250 New Sellers Acquired\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\u003eReview Seller CAC \u003cstrong\u003emonthly\u003c\/strong\u003e to catch channel drift early.\u003c\/li\u003e\n\u003cli\u003eSegment CAC by lead source (e.g., hospice referral vs. direct web).\u003c\/li\u003e\n\u003cli\u003eEnsure marketing spend only includes direct acquisition costs, not overhead.\u003c\/li\u003e\n\u003cli\u003eIf CAC rises above \u003cstrong\u003e$3,000\u003c\/strong\u003e, you should defintely pause the highest-cost channels.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e \u003ch2\u003eKPI 2\n: \u003cspan style=\"color: #126CFF;\"\u003eBuyer Acquisition Cost (CAC)\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\u003eBuyer Acquisition Cost (CAC) is the total amount spent marketing and selling to acquire one new institutional buyer. You need this number to judge if your efforts to bring in investors are sustainable. If CAC is too high compared to what that buyer generates, you're defintely burning cash on every new relationship.\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 which marketing efforts bring in paying buyers.\u003c\/li\u003e\n\u003cli\u003eAllows calculation of the payback period for acquisition spend.\u003c\/li\u003e\n\u003cli\u003eDirectly informs strategy toward high-value segments like Institutions.\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\u003eIt's meaningless without knowing the buyer's Lifetime Value (LTV).\u003c\/li\u003e\n\u003cli\u003eIt often hides the true cost of sales effort and relationship building.\u003c\/li\u003e\n\u003cli\u003eInitial costs, like the \u003cstrong\u003e$15,000\u003c\/strong\u003e figure, look scary until volume kicks in.\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 B2B platforms targeting institutional finance, CAC can easily run into the tens of thousands. Standard benchmarks don't apply well here because acquiring a single institutional buyer who transacts millions is different than acquiring 1,000 small users. You must benchmark against the expected LTV of these specific relationships, especially given the high \u003cstrong\u003e$500,000\u003c\/strong\u003e Average Policy Value (AOV) for Institutions.\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\u003eShift marketing spend toward direct outreach to qualified institutional leads.\u003c\/li\u003e\n\u003cli\u003eShorten the Policy Case Cycle Time to reduce internal onboarding costs.\u003c\/li\u003e\n\u003cli\u003eEnsure every new buyer relationship immediately generates high-value transactions.\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\u003eBuyer CAC is calculated by taking all the money spent on marketing and sales efforts aimed at buyers and dividing it by the number of new buyers you actually signed up in that period. This is a critical check on your institutional outreach effectiveness.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nBuyer CAC = Total Buyer Marketing Spend \/ New Buyers Acquired\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\u003eIf you plan to spend \u003cstrong\u003e$300,000\u003c\/strong\u003e on buyer marketing in 2026, and you successfully onboard 20 new institutional buyers that year, your initial CAC is high. You must review this cost against the expected revenue from these relationships.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n$15,000 CAC = $300,000 Total Buyer Marketing Spend \/ 20 New Buyers Acquired\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 CAC separately for Hedge Funds, Settlement Firms, and Institutions.\u003c\/li\u003e\n\u003cli\u003eReview the LTV to CAC ratio quarterly, not just the raw CAC number.\u003c\/li\u003e\n\u003cli\u003eIf onboarding takes 14+ days, churn risk rises, inflating effective CAC.\u003c\/li\u003e\n\u003cli\u003eBe ruthless about cutting marketing channels that don't feed the high-value segments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 3\n: \u003cspan style=\"color: #126CFF;\"\u003eGross Margin Percentage (GM%)\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 (GM%) tells you what's left from your commission revenue after paying the direct costs of getting that deal done. For your brokerage, this metric is the immediate health check on your core transaction model. If this number isn't positive right now, you're losing money on every policy you successfully settle, which means scaling just accelerates losses.\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 profitability before overhead hits.\u003c\/li\u003e\n\u003cli\u003eHighlights efficiency of variable cost control.\u003c\/li\u003e\n\u003cli\u003eForces focus on increasing the commission take rate.\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 fixed operating costs like salaries.\u003c\/li\u003e\n\u003cli\u003eThe $500 fixed commission skews percentage results.\u003c\/li\u003e\n\u003cli\u003eIt's misleading if variable costs exceed revenue.\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\u003eIn asset management or brokerage, a healthy GM% is often above 50%, but your structure makes that tough. Because your Transaction Variable Costs (TVC) are set at \u003cstrong\u003e120% of the Average Policy Value (AOV)\u003c\/strong\u003e, your gross margin will almost certainly be negative initially. You aren't aiming for a benchmark here; you are aiming for survival. The goal is to get TVC below 100% of the revenue generated by the variable commission component.\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\u003eNegotiate down Medical Underwriting and Escrow costs.\u003c\/li\u003e\n\u003cli\u003ePrioritize Institutional buyers ($500,000 AOV) deals.\u003c\/li\u003e\n\u003cli\u003eIncrease the variable commission rate above 40%.\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 Gross Margin Percentage by taking the total commission you earned, subtracting the costs directly tied to processing that transaction, and dividing that result by the total commission revenue. Remember, this calculation must be done on a per-transaction basis first to check the core unit economics.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n(Total Commission Revenue - Transaction Variable Costs) \/ Total Commission 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\u003eLet's look at a deal with a Settlement Firm buyer, where AOV is \u003cstrong\u003e$200,000\u003c\/strong\u003e. Your commission is \u003cstrong\u003e40%\u003c\/strong\u003e of AOV plus a fixed \u003cstrong\u003e$500\u003c\/strong\u003e. Your variable costs are \u003cstrong\u003e120%\u003c\/strong\u003e of AOV. Here's the quick math:\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nCommission Revenue = (0.40 $200,000) + $500 = $80,500\u003cbr\u003e\nTransaction Variable Costs (TVC) = 1.20 $200,000 = $240,000\u003cbr\u003e\nGM% = ($80,500 - $240,000) \/ $80,500 = -1.98, or \u003cstrong\u003e-198%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eAs you see, the unit economics fail hard here; you lose almost two times your revenue on variable costs alone. This estimate hides the fact that the $500 fixed fee is a tiny fraction of the overall loss.\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\u003eModel the break-even AOV where TVC equals commission revenue.\u003c\/li\u003e\n\u003cli\u003eTrack TVC as a percentage of AOV weekly, not just monthly.\u003c\/li\u003e\n\u003cli\u003eIf GM% is negative, halt scaling until costs drop below 100% of AOV.\u003c\/li\u003e\n\u003cli\u003eEnsure the \u003cstrong\u003e$500\u003c\/strong\u003e fixed fee is always recognized as revenue.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 4\n: \u003cspan style=\"color: #126CFF;\"\u003eAverage Policy Value (AOV) by Buyer Segment\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 Policy Value (AOV) by Buyer Segment measures the mean dollar amount of a life insurance policy sold, segmented by the type of investor buying it. This metric tells you exactly which buyer groups are driving the most top-line revenue per transaction. For a brokerage, knowing this is key because your commission revenue is directly tied to the policy's final sale price.\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\u003eHigher AOV segments directly boost the \u003cstrong\u003e40% variable\u003c\/strong\u003e commission earned.\u003c\/li\u003e\n\u003cli\u003eIncreased AOV helps cover your fixed operating costs much faster.\u003c\/li\u003e\n\u003cli\u003eIt lets you focus sales resources on the most profitable buyer profiles.\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 can hide significant volatility within a segment.\u003c\/li\u003e\n\u003cli\u003eIt requires rigorous data hygiene to correctly tag every buyer type.\u003c\/li\u003e\n\u003cli\u003eOver-focusing on AOV might neglect high-frequency, lower-AOV buyers.\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\u003eIn this specialized asset class, benchmarks are entirely internal, defined by your buyer segmentation strategy. Your target AOV for Institutions is \u003cstrong\u003e$500,000\u003c\/strong\u003e, while Hedge Funds target \u003cstrong\u003e$300,000\u003c\/strong\u003e, and Settlement Firms sit at \u003cstrong\u003e$200,000\u003c\/strong\u003e. These internal targets are your performance yardstick; anything below these levels means you are leaving commission dollars on the table.\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 closing deals with \u003cstrong\u003eInstitutions\u003c\/strong\u003e ($500k AOV) monthly.\u003c\/li\u003e\n\u003cli\u003eDevelop specialized outreach materials tailored to Hedge Funds ($300k AOV).\u003c\/li\u003e\n\u003cli\u003eAnalyze why Settlement Firms ($200k AOV) are not scaling up their policy sizes.\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 the AOV for any specific buyer segment, you sum the total value of all policies sold to that segment over a period and divide it by the number of policies sold to them. This gives you the average transaction size for that specific buyer type.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nAOV by Segment = Total Policy Value Sold to Segment \/ Number of Policies Sold to Segment\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\u003eLet's see the revenue difference between your two extremes over one month. If a Settlement Firm buys one policy at $200,000 AOV, your gross commission is $80,000. If an Institution buys one policy at $500,000 AOV, your gross commission is $200,000. That single deal difference is \u003cstrong\u003e$120,000\u003c\/strong\u003e more revenue.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nInstitution Commission: $500,000 AOV 40% = $200,000\u003cbr\u003e\nSettlement Firm Commission: $200,000 AOV 40% = $80,000\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\u003eReview AOV by segment \u003cstrong\u003emonthly\u003c\/strong\u003e; this is not a quarterly metric.\u003c\/li\u003e\n\u003cli\u003eTrack the gross commission dollars generated by each segment, not just the AOV number.\u003c\/li\u003e\n\u003cli\u003eRemember variable costs (underwriting, escrow) are high-\u003cstrong\u003e120% of AOV\u003c\/strong\u003e-so high AOV is critical to achieving positive Gross Margin Percentage (GM%).\u003c\/li\u003e\n\u003cli\u003eIf deal flow slows, defintely check if your highest-value buyers are getting immediate attention.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 5\n: \u003cspan style=\"color: #126CFF;\"\u003ePolicy Case Cycle Time (Days)\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\u003ePolicy Case Cycle Time (Days) measures the average number of days spanning from when a policyholder submits their life insurance policy for review until the final settlement funding hits their account. For this brokerage, this KPI shows how efficiently you manage due diligence and transaction closure. A shorter cycle directly improves \u003cstrong\u003ecapital efficiency\u003c\/strong\u003e and keeps buyers satisfied enough to return for future transactions.\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\u003eFaster funding means \u003cstrong\u003ehigher capital efficiency\u003c\/strong\u003e, letting you redeploy operational cash sooner.\u003c\/li\u003e\n\u003cli\u003eShorter times boost \u003cstrong\u003ebuyer satisfaction\u003c\/strong\u003e, which is key for retaining high-frequency institutional buyers.\u003c\/li\u003e\n\u003cli\u003eIt quickly exposes bottlenecks in underwriting or escrow that slow down the entire transaction flow.\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\u003eIf focused only on speed, quality checks might be skipped, increasing future risk exposure.\u003c\/li\u003e\n\u003cli\u003eLong cycles increase \u003cstrong\u003eseller churn risk\u003c\/strong\u003e if the policyholder's need for immediate cash is acute.\u003c\/li\u003e\n\u003cli\u003eIt can mask issues if the average is good but a few outlier cases take \u003cstrong\u003e120+ days\u003c\/strong\u003e.\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\u003eBenchmarks vary based on the required regulatory hurdles and the speed of institutional buyer due diligence. While complex transactions might average \u003cstrong\u003e60 days\u003c\/strong\u003e, best-in-class platforms aim to close in under \u003cstrong\u003e30 days\u003c\/strong\u003e. Your primary benchmark should be your internal goal: achieving a \u003cstrong\u003e10% reduction\u003c\/strong\u003e year-over-year is the real measure of operational success here.\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\u003eImplement \u003cstrong\u003eweekly case reviews\u003c\/strong\u003e with Case Managers to flag any policy exceeding \u003cstrong\u003e45 days\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eAutomate the initial document verification step to cut the submission-to-underwriting time by \u003cstrong\u003e20%\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eStandardize the required documentation checklist upfront to elimi\nnate back-and-forth delays with sellers.\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 the average cycle time, sum the total days taken for all successfully closed policies in a period and divide that total by the number of policies closed. This gives you the average time commitment per transaction.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nPolicy Case Cycle Time (Days) = Total Days for All Closed Cases \/ Total Number of Cases Closed\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 in the first quarter of 2025, you closed \u003cstrong\u003e30\u003c\/strong\u003e viatical settlement policies. If the total time spent across all 30 cases, from submission to funding, was \u003cstrong\u003e1,050 days\u003c\/strong\u003e, you calculate the average cycle time like this:\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nPolicy Case Cycle Time (Days) = 1,050 Days \/ 30 Cases = \u003cstrong\u003e35 Days\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eThis means your current average time to fund is \u003cstrong\u003e35 days\u003c\/strong\u003e; the goal is to get that down to \u003cstrong\u003e31.5 days\u003c\/strong\u003e next year.\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 cycle time by buyer segment to see if Hedge Funds close faster than Institutions.\u003c\/li\u003e\n\u003cli\u003eTie Case Manager performance metrics directly to the \u003cstrong\u003e10% annual reduction\u003c\/strong\u003e target.\u003c\/li\u003e\n\u003cli\u003eUse cycle time data to justify spending on better workflow software, not just headcount.\u003c\/li\u003e\n\u003cli\u003eIf onboarding takes 14+ days, churn risk rises defintely for anxious sellers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 6\n: \u003cspan style=\"color: #126CFF;\"\u003eBuyer Repeat Order Rate\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\u003eBuyer Repeat Order Rate measures the average number of transactions a single buyer completes over a year. It's a direct measure of customer loyalty and the long-term value of your buyer relationships. High rates mean your platform delivers consistent value to institutional capital.\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\u003eIdentifies the most loyal, high-value buyer segments immediately.\u003c\/li\u003e\n\u003cli\u003ePredicts future commission revenue streams more accurately.\u003c\/li\u003e\n\u003cli\u003eReduces reliance on expensive new buyer acquisition spending.\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 can hide poor performance in smaller buyer groups.\u003c\/li\u003e\n\u003cli\u003eThe asset class itself might naturally limit extreme frequency.\u003c\/li\u003e\n\u003cli\u003eOver-focusing on frequency might ignore maximizing Average Policy Value (AOV).\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 this specific asset class, institutional buyers show wide variance in transaction frequency. We see \u003cstrong\u003eHedge Funds\u003c\/strong\u003e achieving \u003cstrong\u003e25x\u003c\/strong\u003e transactions annually, setting the high bar for this market segment. You must compare your other buyer segments against this top performer to gauge retention 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\u003eReview buyer segments \u003cstrong\u003equarterly\u003c\/strong\u003e to spot retention dips.\u003c\/li\u003e\n\u003cli\u003eDevelop specialized tools for \u003cstrong\u003ehigh-frequency institutional buyers\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eIncentivize transaction volume over single large deals for repeat buyers.\u003c\/li\u003e\n\u003cli\u003eEnsure Case Managers prioritize rapid turnaround for established buyers.\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 this rate, divide the total number of transactions completed by all buyers in a period by the total number of unique buyers active in that same period. This gives you the average number of deals per buyer.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nBuyer Repeat Order Rate = Total Transactions by Buyers \/ Total Unique Buyers\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 your platform facilitated \u003cstrong\u003e500\u003c\/strong\u003e total transactions last year, and you had \u003cstrong\u003e20\u003c\/strong\u003e unique institutional buyers making those purchases, your average repeat rate is 25x. This calculation clearly shows which buyers are driving the most activity.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nBuyer Repeat Order Rate = 500 Transactions \/ 20 Unique Buyers = \u003cstrong\u003e25x\u003c\/strong\u003e Annually\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 buyers by asset type (e.g., Hedge Funds vs. Settlement Firms).\u003c\/li\u003e\n\u003cli\u003eTrack the time between a buyer's first and second transaction.\u003c\/li\u003e\n\u003cli\u003eTie retention bonuses to Case Managers based on repeat volume.\u003c\/li\u003e\n\u003cli\u003eIf onboarding takes 14+ days, churn risk rises for new institutional partners.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 7\n: \u003cspan style=\"color: #126CFF;\"\u003eMonths to Breakeven\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 Breakeven measures how long it takes for your cumulative Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) to become positive. It tells you when the business stops needing external cash to cover all prior operational losses. For this brokerage, it's the critical timeline showing when accumulated profits finally erase the initial investment and operating deficits.\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 informs runway planning and capital needs.\u003c\/li\u003e\n\u003cli\u003eSignals operational maturity to potential investors.\u003c\/li\u003e\n\u003cli\u003eForces focus on achieving positive unit economics quickly.\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\u003eHighly sensitive to initial cash burn rates.\u003c\/li\u003e\n\u003cli\u003eIgnores immediate working capital requirements.\u003c\/li\u003e\n\u003cli\u003eRelies entirely on future revenue projections holding true.\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 asset marketplaces dealing with high-value, infrequent transactions, the breakeven timeline is often longer than for subscription SaaS. While some lean tech firms hit this in under a year, specialized finance platforms like this one typically target \u003cstrong\u003e18 to 30 months\u003c\/strong\u003e. Hitting breakeven faster than \u003cstrong\u003e18 months\u003c\/strong\u003e suggests either very low initial fixed costs or exceptionally high initial Average Policy Values (AOV).\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 pursue \u003cstrong\u003e$500,000\u003c\/strong\u003e Institutional buyers (KPI 4).\u003c\/li\u003e\n\u003cli\u003eReduce Seller Acquisition Cost (CAC) below \u003cstrong\u003e$3,000\u003c\/strong\u003e (KPI 1).\u003c\/li\u003e\n\u003cli\u003eImprove Gross Margin Percentage (GM%) by streamlining underwriting costs.\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 find this by summing up the net profit or loss month over month until the running total crosses zero. You must track cumulative EBITDA, not just monthly EBITDA. This metric is defintely sensitive to timing.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nMonths to Breakeven = Time (in months) until Cumulative EBITDA \u0026gt; 0\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\u003eThe current projection shows the business hitting positive cumulative EBITDA in \u003cstrong\u003e18 months\u003c\/strong\u003e, specifically by \u003cstrong\u003eJune 2027\u003c\/strong\u003e. This means the total losses accumulated from Month 1 through Month 17 must be covered by the profit generated in Month 18.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nCumulative EBITDA (Month 17) = -$450,000 \u003cbr\u003e\nEBITDA (Month 18) = +$30,000 \u003cbr\u003e\nCumulative EBITDA (Month 18) = -$420,000 (Still negative) \u003cbr\u003e\n... \u003cbr\u003e\nCumulative EBITDA (Month X) = $0\n\u003c\/div\u003e\n\u003cp\u003eIf the projection holds, Month 18 marks the point where the monthly profit is large enough to start chipping away at the deficit, but the actual breakeven month is when the running total hits zero.\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\u003eMap monthly cash burn directly to the \u003cstrong\u003eJune 2027\u003c\/strong\u003e milestone.\u003c\/li\u003e\n\u003cli\u003eStress test the \u003cstrong\u003e18-month\u003c\/strong\u003e projection using worst-case AOV scenarios.\u003c\/li\u003e\n\u003cli\u003eIf Policy Case Cycle Time (KPI 5) increases, runway shortens.\u003c\/li\u003e\n\u003cli\u003eEnsure subscription fees are recognized early to boost initial margin.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e","brand":"FinancialModelsLab","offers":[{"title":"Default Title","offer_id":49304437391603,"sku":"viatical-settlement-kpi-metrics","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/6191\/2762\/files\/viatical-settlement-kpi-metrics.webp?v=1782694767","url":"https:\/\/financialmodelslab.com\/products\/viatical-settlement-kpi-metrics","provider":"Financial Models Lab","version":"1.0","type":"link"}