Blog

Win-Back Campaigns: Getting Churned Customers Back

Understanding why some churn is reversible—and how to identify and re-activate dormant customers cost-effectively.

Willingness-to-Pay: Are You Leaving Money on the Table?

Understanding how much customers would actually pay for your product—and whether you're undercharging.

Viral Coefficient and Network Effects: Can Your Product Grow on Its Own?

Understanding viral growth and when network effects actually drive acquisition—and when they don't.

Unit Economics Revisited: Revenue Per [X]

Understanding the different ways to measure profitability per unit—and why the right metric depends on your business model.

The Vanity Metric Trap: Why Pageviews Don't Matter

Understanding the difference between metrics that feel good and metrics that actually predict business outcomes.

The Usage Cliff: When Engagement Suddenly Drops

Understanding why users suddenly stop using your product—and how to prevent the drop before it happens.

The Survivorship Bias in Your Best Customers

Why your most successful customers aren't your best example—and how to learn from failures.

The Signal Loss Crisis

The Metrics That Matter: Choosing Your 3 Most Important Metrics

Why tracking 50 metrics makes you slower, and how to identify the 3 that actually move your business.

The Messy Reality of Modern Browsing

The Local Maxima Problem: Optimizing Yourself Into a Corner

Understanding why incremental improvements can blind you to bigger opportunities—and when to restart from scratch.

The Great Data Disconnect

The Full-Funnel Attribution Model: Who Deserves Credit?

Understanding first-click vs. last-click vs. multi-touch attribution—and why the answer changes your strategy.

The First-Time Buyer Problem: Why New Customers Are Risky

Understanding cohort churn and why the quality of customers you acquire today determines your success months from now.

The Baseline Problem: Why You Need a Control Group

Understanding what would happen if you did nothing—the foundation of measuring impact.

The Activation Problem: Why Users Never Come Back

Understanding why many new users never realize value—and how to get them to a core action fast.

Stickiness: How Many Users Come Back?

Measuring repeat usage patterns to understand whether your product is building a habit or just a one-time experience.

Session Analysis: Understanding the User Journey

Tracking how users move through your product—and what session patterns reveal about engagement.

Seasonality: Understanding Your Annual Business Rhythm

Why your revenue goes up and down predictably—and how to plan around it instead of panicking.

Scenario Planning: Modeling Best Case, Worst Case, and Reality

Stop guessing about the future. Build financial models that show you what happens if X, Y, or Z changes.

SaaS Metrics Playbook: Subscription-Specific KPIs

The metrics that matter for subscription businesses—and how to use them to guide strategy.

Revenue Recognition: Why Cash and Revenue Aren't the Same Thing

Understanding accrual accounting and why your 'revenue' might not be money in the bank.

Retention Rate vs. Churn Rate: Why Both Matter

Understanding the difference between retention and churn, and why you need to track both to see the full picture.

Quarterly Business Reviews (QBRs): Using Data to Have Better Meetings

Structuring quarterly reviews so you're tracking progress, identifying problems, and planning ahead.

Price Elasticity: How Much Would Revenue Change If You Raised Prices?

Understanding how price changes affect demand—and testing price increases without losing customers.

Predictive Churn: Knowing Which Customers Will Leave (Before They Do)

Using behavioral signals to identify at-risk customers weeks before they cancel, so you can save them.

Paid Search vs. Organic Search: The Economics

Why organic search looks free but isn't—and how to decide when to invest in paid vs. organic.

Operationalizing Insights: Turning Analysis Into Automated Action

Why dashboards are useless if nobody acts on them—and how to build workflows that turn data into decisions.

Net Revenue Retention (NRR): The SaaS Health Metric

Understanding why NRR > 100% is the holy grail—and what it means for your business.

Metrics vs. Dimensions: What You're Actually Measuring

Understanding the difference between metrics (numbers that change) and dimensions (categories that don't) is the foundation of all analytics.

Media Efficiency Ratio (MER): Your Real North Star Metric

The one metric that doesn't lie—and why CFOs are obsessed with it.

Logo Churn vs. Revenue Churn: One Matters More

Understanding why losing one big customer hits harder than losing ten small ones—and how to measure what actually matters.

Leading vs. Lagging Indicators: Predicting Next Month's Revenue Today

Why last month's revenue doesn't matter, and which metrics actually predict your future.

Lead Scoring: Predicting Who Will Actually Buy

Using behavioral signals to identify which leads are ready to convert—and where to focus your sales effort.

KPI Trees: Cascading Goals From Top-Level to Team-Level

Understanding how company goals cascade into team metrics—and why siloed metrics kill growth.

Incrementality Testing: Proving Your Marketing Actually Works

Why you need to test if your ads cause sales—or if customers would have bought anyway.

Funnel Analysis: Where Are Your Customers Leaking?

Understanding how to identify which step in your customer journey loses the most people—and how to fix it.

Freemium Conversion: Converting Free Users to Paid

Understanding freemium mechanics—and why most free users never pay (and that's okay).

First-Party Data Strategy: Building Independence From Third-Party Cookies

Why cookies are dying, and how to build a customer data strategy that doesn't rely on platforms to tell you who people are.

Feedback Loops: Teaching Your Ads to Learn From Success

How to feed your best customer data back into ad platforms so they can find more customers like them.

Feature Adoption: Are Customers Using the Features You Built?

Tracking which features get used vs. ignored—and what it means for your product roadmap.

Expansion Revenue: Growing Existing Customers

Why selling to existing customers is cheaper than acquiring new ones—and how to build an expansion motion.

Executive Summaries: Telling Your Story in One Page

How to present complex data to busy executives in a way they actually understand and act on.

Early Churn: The First 30 Days Are Critical

Why onboarding failures doom customers before they ever get value—and how to fix it.

E-Commerce Metrics Playbook: Retail-Specific KPIs

The metrics that matter for e-commerce businesses—and how to use them to maximize profitability.

Data Hygiene & Governance: Why Your Numbers Are a Mess (And How to Fix It)

Establishing naming conventions, data quality rules, and governance standards so your analytics don't break every time someone updates a spreadsheet.

Daily Active Users (DAU) vs. Monthly Active Users (MAU): What Engagement Really Looks Like

Understanding why DAU matters more than MAU—and why monthly numbers hide the decline in daily engagement.

Customer Segmentation for Retention: One Size Doesn't Fit All

Understanding that different customer types need different retention strategies—and how to tailor approaches by segment.

Customer Concentration Risk: What Happens If You Lose Your Top 1%?

Why your top customers are a liability, and how to build a portfolio of revenue that won't collapse overnight.

Customer Acquisition Cost (CAC): The 5 Ways You're Still Calculating It Wrong

Why your CAC is probably higher than you think—and what actually costs to acquire a customer.

Customer Acquisition by Vertical/Segment: Not All Customers Are Equal

Why your SMB CAC is 10x lower than Enterprise—and how to optimize acquisition by customer type.

Correlation Does Not Equal Causation: A Business Owner's Guide

Why two things moving together doesn't mean one causes the other—and how to think about causation without getting lost in statistics.

Contribution Margin Analysis: Why High ROAS Doesn't Mean You're Actually Profitable

Understanding the difference between revenue and profit, and why your ad platforms are lying to you about profitability.

Communicating Bad News: How to Tell Your Board Revenue Dropped 30%

Presenting difficult metrics honestly—and showing a plan to fix the problem.

Cohort Analysis Deep Dive: Why 'Last Week vs. This Week' Is Useless

Understanding why comparing arbitrary time periods misleads you—and how cohort analysis reveals the truth about your business.

Benchmarking: How Do You Compare to Competitors?

Understanding industry benchmarks and knowing when you're winning, losing, or in the middle of the pack.

Anomaly Detection: When Your Data Breaks (And You Actually Notice)

Why manual monitoring is dead, and how to set up alerts that scream when something goes wrong.

Annual vs. Monthly Billing: The Cash Flow and Retention Trade-off

Understanding why annual contracts are better for business—and how to incentivize customers to commit.

Analysis Paralysis: When Perfect Data Makes You Slow

Understanding the 80/20 rule for analytics—and when 'good enough' decisions beat perfect ones.