Skip the pre-launch and make setup one click so first users show it off

This tactic drops the usual pre-launch build-up. The effort goes into a setup that takes one click and shows real value at once, so early users have something worth posting. Baremetrics launched without a blog, email list, beta or free accounts. In the founder's account of the first 100 customers, the company reached 100 customers in about 4 months, and most of them came from Twitter.

How it works

The idea is to shrink time to value to almost nothing. The first screen should be a result the user is proud of, and sharing that result does your marketing.

1. Remove every setup step you can. Baremetrics had no setup process, no settings and no code to integrate. One button produced a dashboard of metrics.
2. Make the first screen the payoff. The founder describes the setup as one button that produces a dashboard of the company's actual metrics. The user sees their own numbers before they have a chance to lose interest.
3. Ship fast and charge from the start. The first version took 8 days to build and brought in the first $2,000 of monthly recurring revenue. There was no free plan and no free trial, and the average customer paid nearly $70 a month.
4. Let users carry it on a public channel. The founder gives a rough estimate of about 4,000 tweets mentioning Baremetrics in the 6 months after launch. Twitter was the source of most early customers.
5. Expect to rebuild. Two months after launch, the founder scrapped the first version and started over. Recurring revenue doubled within a month of the next version going live.

This is a growth loop at its simplest: a user activates, shares the result, and someone new signs up. It works best when the founder is already active where buyers talk, so the founder-led content playbook is a good companion.

What it takes

Our estimate: about 60 hours of work, and about 30 days before you can read a signal. Most of the hours go into removing steps: pre-filling defaults, automating the data connection and designing a first screen that looks good with real data. The rest goes into tracking signup source and share events. A signal takes about a month because word of mouth needs a few cycles of users activating, posting and pulling in new signups before you can tell it apart from noise.

What to measure

Start with time to first value. If the median does not drop sharply, you have not shipped the tactic, only a redesign. Then track the share of each cohort that reaches first value in one session. Define activation as the moment the payoff screen loads with real data, and compare against your own history rather than an outside number. Our activation rate benchmarks explain how to define yours.

Shares per 100 new accounts tells you whether the payoff is worth posting. A good reading rises with each cohort. A bad reading is flat even though activation improved, which means the result is useful but not shareable. Signups by source show whether shares turn into accounts. Finally, compare paid conversion and first-month retention for word-of-mouth signups with everyone else. Referred users who churn fast point to curiosity, not demand.

When it backfires

• The product cannot really deliver value in one click. If data takes hours to sync, a one-click setup shows an empty screen, and an empty screen gets no shares.
• The result is private. Users will not post numbers they consider sensitive. Offer a share view that hides what they would not show.
• Your buyers are not on a public channel. Baremetrics relied on Twitter for most early customers. If your buyers do not post in public, the loop has nowhere to run. A waitlist launch may suit you better.
• The rushed first version is too rough. Baremetrics threw out its first version after two months. Budget for a rebuild, or early users will share frustration instead.
• You stack changes and misread the cause. At Baremetrics, the rebuild and the revenue doubling came close together. If you ship a rebuild and a setup change in the same window, you cannot tell which one worked.

Run it as an experiment

Hypothesis: cutting setup to one click will raise same-session activation and increase organic signups per new account within a month.

We recommend splitting new signups between the current setup and the one-click path if you have the traffic. Use the sample size calculator to check. With low volume, run a before and after comparison with a fixed 4-week window on each side and no other launches in between. Log the signup timestamp, the first-value timestamp, the signup source, share clicks and any referral codes. Feed shares and referred signups into the viral coefficient calculator.

Our suggested decision rule: keep the one-click path if same-session activation rises clearly and referred signups per new account go up, with no drop in paid conversion. If activation rises but sharing stays flat, keep the setup change and work on the payoff screen next. The growth experiment guide has a write-up template.

How strong the evidence is

The grade is a case with numbers: one company described the tactic and published results on its own blog. That case is Baremetrics, and the figures are self-reported by the founder. The tweet count is his own rough estimate. There is no baseline or control, so the post does not show how many customers would have come without one-click setup. The doubling in revenue followed a full rebuild, not the setup change alone. Later figures on the company about page report 850+ customers and 97% satisfaction. The company now offers a free trial and demo. Neither figure can be credited to this tactic.