Growth & Marketing

How do I tell whether my growth is real or just a spike from a launch or a discount?

A starting point

Separate one-time bumps from underlying growth by watching your retained-cohort base and your organic (non-paid, non-promo) new users over several weeks. A launch or a coupon inflates signups but the honest signal is whether those users are still active a month later and whether growth continues once the push ends. If removing the spike leaves a flat or falling baseline, you bought attention, not growth.

Go deeper

Hand-picked from around the web, each with a note on why it earns your time.

3 resources 3 link-checked Watch Read

Watch

▶️ Video

✓ Link checked Free Intermediate

Why we picked it Balfour (founder of Reforge, former VP Growth at HubSpot) reframes growth away from one-off pushes and toward a model where one cohort of users feeds the next, which is exactly the difference between a bump and durable growth. Watching it gives you the mental picture of what compounding growth looks like, so you can ask whether your recent numbers are self-sustaining or just a spend-fuelled spike. Treat it as a starting point for building your own growth model, not a checklist.

Building a Growth Machine (Relay Ventures CEO Summit 2018)

On YouTube by Brian Balfour About 35 minutes

Durable growth comes from a compounding loop where output (users, revenue) is reinvested to produce the next cohort, unlike a launch or discount that spends down and stops.
Sustainability mostly comes down to retention: if a jump in users does not hold over time, it will not compound.
Building a qualitative and quantitative growth model helps you spot your real constraints instead of chasing a one-time bump.

Watch on YouTube youtube.com →

Read

📄 Article

✓ Link checked Free Beginner

Why we picked it This is the piece that named the problem you are asking about: the difference between numbers that make you feel good and numbers you can actually act on. Eric Ries (the Lean Startup guy) wrote it as a guest post, and it is still the clearest short read on why a traffic spike or an upvote count tells you almost nothing. Treat it as a starting point for deciding which one or two numbers your launch should live or die by.

Vanity Metrics vs. Actionable Metrics

From The Blog of Tim Ferriss by Eric Ries 10 minute read

A metric is only useful if a change in it tells you what to do next. Total hits and signup counts almost never pass that test.
Cohort analysis (following a group of users through registration, trial, and purchase over time) shows whether your launch actually changed behaviour, or just briefly inflated the top of the funnel.
Look at per-customer and per-segment numbers, not one big aggregate, because a healthy total can hide the churn and drop-off that decide whether a launch worked.

Open tim.blog →

📄 Article

✓ Link checked Free Intermediate

Why we picked it Once you suspect a spike, this guide shows you the mechanic that actually proves it: split customers into cohorts by the month they arrived and watch each group's retention curve separately. It makes the point that a stable-looking aggregate can hide a launch or promo cohort that is churning out fast while your older, organic cohorts quietly prop up the average. A practical starting point for telling promo-driven arrivals apart from durable ones.

SaaS Cohort Analysis: A Guide for Businesses

From Stripe Resources by Stripe About a 12 minute read

Aggregate churn and growth numbers can look calm while a recent launch or discount cohort is disappearing far faster than your steady older cohorts.
Grouping customers by signup month and following each cohort's retention curve is how you see where behaviour actually shifts.
Comparing cohorts across acquisition channels shows which sources bring customers who stay, not just customers who show up.

Open stripe.com →