Win-Back Campaigns: Getting Churned Customers Back
Understanding why some churn is reversible—and how to identify and re-activate dormant customers cost-effectively.
Insights on business analytics, data strategy, and growth.
Understanding why some churn is reversible—and how to identify and re-activate dormant customers cost-effectively.
Understanding how much customers would actually pay for your product—and whether you're undercharging.
Understanding viral growth and when network effects actually drive acquisition—and when they don't.
Understanding the different ways to measure profitability per unit—and why the right metric depends on your business model.
Understanding the difference between metrics that feel good and metrics that actually predict business outcomes.
Understanding why users suddenly stop using your product—and how to prevent the drop before it happens.
Why your most successful customers aren't your best example—and how to learn from failures.
Why tracking 50 metrics makes you slower, and how to identify the 3 that actually move your business.
Understanding why incremental improvements can blind you to bigger opportunities—and when to restart from scratch.
Understanding first-click vs. last-click vs. multi-touch attribution—and why the answer changes your strategy.
Understanding cohort churn and why the quality of customers you acquire today determines your success months from now.
Understanding what would happen if you did nothing—the foundation of measuring impact.
Understanding why many new users never realize value—and how to get them to a core action fast.
Measuring repeat usage patterns to understand whether your product is building a habit or just a one-time experience.
Tracking how users move through your product—and what session patterns reveal about engagement.
Why your revenue goes up and down predictably—and how to plan around it instead of panicking.
Stop guessing about the future. Build financial models that show you what happens if X, Y, or Z changes.
The metrics that matter for subscription businesses—and how to use them to guide strategy.
Understanding accrual accounting and why your 'revenue' might not be money in the bank.
Understanding the difference between retention and churn, and why you need to track both to see the full picture.
Structuring quarterly reviews so you're tracking progress, identifying problems, and planning ahead.
Understanding how price changes affect demand—and testing price increases without losing customers.
Using behavioral signals to identify at-risk customers weeks before they cancel, so you can save them.
Why organic search looks free but isn't—and how to decide when to invest in paid vs. organic.
Why dashboards are useless if nobody acts on them—and how to build workflows that turn data into decisions.
Understanding why NRR > 100% is the holy grail—and what it means for your business.
Understanding the difference between metrics (numbers that change) and dimensions (categories that don't) is the foundation of all analytics.
The one metric that doesn't lie—and why CFOs are obsessed with it.
Understanding why losing one big customer hits harder than losing ten small ones—and how to measure what actually matters.
Why last month's revenue doesn't matter, and which metrics actually predict your future.
Using behavioral signals to identify which leads are ready to convert—and where to focus your sales effort.
Understanding how company goals cascade into team metrics—and why siloed metrics kill growth.
Why you need to test if your ads cause sales—or if customers would have bought anyway.
Understanding how to identify which step in your customer journey loses the most people—and how to fix it.
Understanding freemium mechanics—and why most free users never pay (and that's okay).
Why cookies are dying, and how to build a customer data strategy that doesn't rely on platforms to tell you who people are.
How to feed your best customer data back into ad platforms so they can find more customers like them.
Tracking which features get used vs. ignored—and what it means for your product roadmap.
Why selling to existing customers is cheaper than acquiring new ones—and how to build an expansion motion.
How to present complex data to busy executives in a way they actually understand and act on.
Why onboarding failures doom customers before they ever get value—and how to fix it.
The metrics that matter for e-commerce businesses—and how to use them to maximize profitability.
Establishing naming conventions, data quality rules, and governance standards so your analytics don't break every time someone updates a spreadsheet.
Understanding why DAU matters more than MAU—and why monthly numbers hide the decline in daily engagement.
Understanding that different customer types need different retention strategies—and how to tailor approaches by segment.
Why your top customers are a liability, and how to build a portfolio of revenue that won't collapse overnight.
Why your CAC is probably higher than you think—and what actually costs to acquire a customer.
Why your SMB CAC is 10x lower than Enterprise—and how to optimize acquisition by customer type.
Why two things moving together doesn't mean one causes the other—and how to think about causation without getting lost in statistics.
Understanding the difference between revenue and profit, and why your ad platforms are lying to you about profitability.
Presenting difficult metrics honestly—and showing a plan to fix the problem.
Understanding why comparing arbitrary time periods misleads you—and how cohort analysis reveals the truth about your business.
Understanding industry benchmarks and knowing when you're winning, losing, or in the middle of the pack.
Why manual monitoring is dead, and how to set up alerts that scream when something goes wrong.
Understanding why annual contracts are better for business—and how to incentivize customers to commit.
Understanding the 80/20 rule for analytics—and when 'good enough' decisions beat perfect ones.