Our blog translates practical experiments and client work into tactical guides you can apply quickly. Expect step-by-step pricing experiments, automation blueprints that reduce cost per transaction, customer-focus strategies that increase realized price, and tax-aware recommendations to preserve after-tax cash flow. Each post emphasizes measurable outcomes and includes a clear checklist to test in your environment. The content is targeted to operators, finance leads, and founders who prefer fast validation and scalable playbooks over theory.
Practical writeups focused on experiments that deliver measurable income gains. Each post includes a hypothesis, the experiment plan, results, and an actionable playbook you can adapt to your business. Below are recent entries with concise summaries and links to the full post collection.
A step-by-step guide to designing price tests that protect retention while increasing average revenue per account. Includes sample A/B test setups, segment rules, and decision thresholds for scaling changes to all customers.
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Map, prioritize, and automate a high-frequency workflow. This post shows common integration patterns, guardrails to avoid regressions, and the monitoring you need to quantify ROI and sustain gains over time.
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Coordinating deductions and retirement contributions can materially improve after-tax cash flow. This post breaks down practical steps for small businesses and individuals, with sample calculations and timing considerations.
Read postThis collection gathers practical guides that are designed to be executed in short timelines with measurable outcomes. Each guide contains a hypothesis, required inputs, success criteria, and a minimal implementation plan so teams can run safe experiments. Examples include structuring a tiered pricing test, automating onboarding steps to reduce manual labor, and creating a KPI dashboard that surfaces leading indicators for cash flow. Guides prioritize clarity and reproducibility so that after a successful pilot teams can scale the approach with minimal dependence on external consultants. The objective is to help organizations iterate quickly, learn from data, and capture net income improvements that compound over time. For many teams, running two to three small experiments yields actionable insights that fund larger improvements.
A compact playbook to test a price or packaging change in a defined cohort. Includes sample metrics, rollout checklist, and rollback conditions. Timebox: 6-8 weeks.
View guideChecklist for scoping, implementing, and measuring an automation pilot. Emphasis on observable ROI and error reduction. Timebox: 4-10 weeks.
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