A comprehensive guide to the scientific operating system for logistics and finance. Client-side precision, zero-knowledge privacy.
Precision freight modeling
The 3D Container Loader uses a modified bin-packing algorithm to simulate cargo placement. Unlike simple volume calculators, it accounts for 6-axis rotation, weight distribution, and stacking rules.
Combined with the Freight Class Calculator (NMFC Rule 18), shippers can optimize both space verification and cost estimation in a single workflow.
6-DOF placement simulation.
Center of gravity tracking.
<50ms WebAssembly core.
Minimize inventory costs.
High-velocity simulation
Precise runway exhaustion.
Headcount impact modeling.
Capital infusion simulation.
The SaaS Burn Rate Simulator projects your "Zero Cash Date" by modeling revenue ramps, hiring freezes, and funding rounds.
The Unit Economics Calculator visualizes the "Payback Valley" and computes Real Gross Margin LTV, ensuring you understand the true cost of growth.
The Commission Calculator audits your sales compensation plan. It visualizes accelerators, cliffs, and verifies your OTE paycheck vs actual attainment.
The Employee Cost Calculator reveals the true cost of each hire—including 2025 federal tax rates, benefits, and overhead.
The Cap Rate Calculator analyzes rental properties with 3D visualization—calculate Cap Rate, Cash-on-Cash Return, and screen deals with the 1% Rule.
Profitability & ROAS modeling
The AdScale Profitability Simulator helps efficient growth by identifying your point of diminishing returns.
Instead of blindly scaling ad spend, it models your "Profit Peak" using a 0.85 decay exponent and warns you when your CAC exceeds your AOV (Loss Leader).
The Split Test Significance Calculator prevents false positives. It calculates Statistical Significance (P-Value) to ensure your "winning" variant isn't just random variance.
The Engagement Rate Calculator benchmarks your content performance against industry standards (LinkedIn, TikTok, IG) to determine true viral potential.
Prevent loss-leader spending.
0.85 decay curve modeling.
Find exact optimal spend.
95% confidence intervals.
No database. No API calls. Your business data never leaves your browser.
Connected TV (CTV) CPMs in 2026 average $25–$50 for programmatic inventory and $40–$65+ for premium publisher direct deals on platforms like Hulu, Peacock, and Disney+. CTV CPMs are significantly higher than digital display but deliver TV-quality reach with digital targeting precision and measurable outcomes. For most advertisers, CTV becomes cost-efficient at budget levels above $15,000–$25,000/month. Model your CTV efficiency at /marketing/adscale.
A content cluster strategy organizes your website's content around a central pillar page covering a broad topic, supported by multiple cluster pages covering specific subtopics — all interlinked to signal deep topical authority to search engines. In 2026, Google's ranking systems heavily reward sites that demonstrate comprehensive, expert coverage of a topic over sites with isolated high-quality pages. Building a cluster of 8–15 pages around a core topic can increase a pillar page's ranking position by 15–40 spots compared to the same page standing alone. Plan and audit your cluster structure at /marketing/seo-audit.
To run a valid A/B test on email subject lines, you need a minimum of 1,000 recipients per variant to detect a meaningful difference (5+ percentage points in open rate) at 95% statistical confidence, and you must test only one variable at a time. The average email open rate across all industries in 2026 is 36–42% for permission-based B2C lists and 28–35% for B2B lists — a winning subject line variant that consistently outperforms by 5–10 percentage points represents a material lift in revenue per send. Most email platforms offer built-in A/B testing, but the statistical validity of those tests depends entirely on correct setup, adequate sample size, and proper wait times before declaring a winner.
The average email open rate across all industries in 2026 is 39–42% using Apple Mail Privacy Protection (MPP)-influenced tracking, or approximately 20–25% on a true-click-measured basis for non-Apple clients. ActiveCampaign reports an overall average open rate of 39.26% across campaigns sent in 2025–2026; Klaviyo's 2026 data across 183,000+ ecommerce brands shows 36–42% average open rates by industry. Click-through rates (CTR) average 2.2–3.5% across industries, and click-to-open rates (CTOR) of 8–12% are the most reliable engagement proxy in the MPP era. Every metric must be interpreted alongside list hygiene, send frequency, and platform tracking methodology.
Repeat purchase rate (RPR) measures the percentage of your customers who make more than one purchase within a defined period, typically 12 months. Industry benchmarks in 2026 range from 15% to 30% for most direct-to-consumer brands, with top-quartile performers hitting 40% or higher in consumables and subscription-adjacent categories. The formula is straightforward: divide the number of customers who purchased more than once by total unique customers in the period, then multiply by 100. A store converting even 5 additional percentage points of one-time buyers into repeat customers can reduce effective CAC by 20–35%.
Statistical significance in A/B testing is the confidence level at which you can conclude that the difference in conversion rates between your control and variant is real — not caused by random chance. At 95% statistical significance, there is only a 5% probability that your observed result is a fluke. For most marketing A/B tests, 95% confidence is the accepted minimum threshold before acting on a result. The required sample size depends on your baseline conversion rate, minimum detectable effect (MDE), and desired confidence level — a test on a 3% baseline conversion rate detecting a 20% lift needs approximately 12,000 visitors per variant. Use the A/B Split Test Calculator at metricrig.com/marketing/split-test to calculate your exact required sample size instantly.