Your KPIs Are Built for Someone Else's Business

Most companies running dashboards full of metrics aren't measuring the wrong things. They're measuring the right things — for someone else's business.

The subscription company obsessing over ROAS. The marketplace measuring total GMV like it's revenue. The SaaS business reporting monthly revenue without checking whether last year's cohort is still paying.

Wrong metrics don't just give you bad data. They give you the illusion of clarity while the real problems compound quietly underneath.

The fix isn't adding more metrics. It's matching your metrics to your model. Every business type has a small set of numbers that actually reveals what's happening — and a larger set that distracts from it.

E-Commerce: New vs. Returning Revenue Split

If 90% of your revenue is coming from new customers, you don't have a growth business. You have an acquisition treadmill.

E-commerce brands often celebrate revenue records without asking who's generating them. When the split skews heavily toward new customers, it means you're spending to replace people who left — not building on a compounding base. The metric that surfaces this immediately is the new vs. returning revenue split, tracked over time. If returning revenue isn't growing as a share, retention is broken.

Subscription and SaaS: Net Revenue Retention (NRR)

If your NRR is below 100%, you are shrinking. Not stalling — shrinking. Even if top-line revenue is growing.

Net Revenue Retention tells you whether the revenue from existing customers is expanding, flat, or contracting after accounting for downgrades and churn. A company with 95% NRR needs constant new customer acquisition just to stay flat. At 110% NRR, existing customers fund your next growth phase before you've added a single new one. No metric separates a durable subscription business from a leaky one more cleanly.

Sales-Led Funnels: Time to Convert

Funnel conversion rates without time context are nearly useless. A 12% demo-to-close rate sounds like a number. A 12% demo-to-close rate with a 47-day average time-to-close tells you a story.

In sales-led businesses, the cohort view is everything. When you combine conversion metrics with how long each stage takes — your 7-day cost per demo, your 30-day pipeline velocity — you can model where the constraint actually lives. Is it lead quality? Sales cycle length? Contract negotiation? Velocity metrics answer that. Conversion metrics alone don't.

Marketplaces: Take Rate × GMV per Active Buyer

Total GMV is a vanity metric for marketplaces. What matters is the revenue power per active participant.

Take Rate × GMV per Active Buyer tells you whether your marketplace is actually creating economic value — and whether you're capturing your share of it. A marketplace with growing GMV but declining take rate is being commoditized. One with flat GMV but rising GMV per active buyer is deepening engagement. Those are completely different businesses with the same headline number.

The Universal Layer: What Every Business Needs

Regardless of model, these four metrics belong in every executive dashboard:

• CAC: Fully loaded, not just media. If you're only counting ad spend, you're understating acquisition cost. People cost, tool cost, agency fees — it all belongs in the denominator.
• LTV: Margin-adjusted, not revenue. Revenue-based LTV overstates the value of every customer. Strip it to contribution margin, and the real economics of your growth model become visible.
• Payback Period: Aligned with your CFO. What counts as acceptable payback isn't a marketing decision — it's a capital allocation decision. If marketing and finance aren't aligned on this number, you're optimizing for different things.
• LTV:CAC: Useless without a clear horizon. A 3:1 ratio means nothing if you haven't defined over what period you're measuring LTV. Set the horizon. Then hold it.

Too many metrics are as dangerous as the wrong ones. The companies that measure the most are often the ones that understand the least — because they've buried the signal in noise.

Match your metrics to your model. Start with the three or four numbers that actually tell you whether the business is healthy. Build from there.

David Manela is co-founder of Exactius, a growth and data science company. Follow him on LinkedIn for more frameworks on growth, marketing, and capital allocation.