A free tier for people who will never pay, to reach the people who will

A free tier for non-buyers gives a capped version of your product to people who will never pay, such as open source maintainers or solo analysts, so your name reaches the teams that do buy. Algolia gives DocSearch free to eligible documentation sites. GreyNoise grew a free Community to over 12,000 accounts in a year. Neither company's published figures tie those free users to sales.

How it works

The idea is simple. Some people will never pay you, but they work near the people who will. You give the first group a useful, capped product and let the second group see it in use.

1. Pick a non-buying group that sits near buyers. Algolia picks documentation sites, and on its DocSearch explainer it frames the program as giving back to open source. GreyNoise aims its free Community at analysts and researchers.
2. Cap the free version at the point where buyers start. GreyNoise's free tier offers basic internet noise data through its Visualizer and Community API, with limited alerts and bulk analyses. Its paid versions are sold for automated use, including SIEM, SOAR and TIP integrations. A single analyst gets value, and a team that wants automation has to buy.
3. Gate entry and attach your name. DocSearch sites must apply to join, and they must keep a visible Search by Algolia link. Sites that keep the link displayed carry Algolia's name to the developers who read their docs.
4. Stay in touch with free users. GreyNoise ran a quarterly Open Forum for Community users, the first on May 6, 2021. You can read this as a community-led growth habit layered on top of the free tier.
5. Make the free door easy to find. The GreyNoise about page puts Search for free next to Get a demo. The Algolia about page has a For Open Source link in its navigation, but gives no detail on the program.

The reach is real. The DocSearch homepage says more than 9,000 projects use it. In the same GreyNoise press release that reports the Community count, the company says commercial customers and ARR grew more than 100% in 12 months, with Airbus, Lumen and the Defense Innovation Unit among new buyers. The release does not say the free tier caused that growth. See the full cases at /cases/algolia-docsearch and /cases/greynoise-free-community-tier.

What it takes

Our estimate: about 60 hours of work, and about 90 days before you can read a signal. The hours go into choosing the cap, building signup and eligibility checks, adding attribution, and tagging free accounts so they show up in your CRM later. The signal is slow because the path runs through other people: a free user's colleague or reader has to notice you, then enter a sales cycle. You will see signups in days, but a readable link to paid deals takes a quarter or more.

What to measure

The free account count is the easy number and the least useful one. What you need to know is whether free use shows up in paid pipeline.

• Paid deals with a prior free account. This is the number that justifies the program. If almost no closed deals had a free account or a free-user referral behind them, the tier is a cost, not a channel.
• Weekly active free accounts as a share of signups. Signups that never return give no exposure. A flat or rising share means people rely on it. Read it as a retention curve, not a single figure.
• Inbound demos that mention the free tier or attribution link. Add a how-did-you-hear field. A good reading names the free product often.
• Free accounts hitting caps. Cap hits show where free use reaches buyer-level need. Many cap hits with no demo requests from the same company domains may mean the paid offer is unclear.
• Support hours per free account. If free users eat the same support time as payers, your cap is too loose or your docs are thin.

Compare your free-to-paid figures with our free-to-paid conversion benchmarks, keeping in mind that a non-buyer tier is not meant to convert directly.

When it backfires

• The cap lets buyers stay free. If a paying-size team can run on the free tier, you lose revenue. GreyNoise drew its line at automated, integrated use. Find your own equivalent line.
• The audience never touches buyers. A large count can be a vanity number. DocSearch's 9,000+ projects are not tied to paying customers in any source.
• Attribution nobody sees. A footer link on low-traffic pages carries little weight. Algolia requires a visible link, but a requirement is only as good as the traffic behind it.
• You can't tell what worked. GreyNoise doubled customers and ARR in the same window, yet does not credit the free tier. Without account tagging, you will face the same blind spot.
• Support and hosting costs grow faster than pipeline. Free users still file tickets and use compute.

Run it as an experiment

We recommend this hypothesis: free accounts in our chosen segment will appear in at least some new paid deals within two quarters, at a support cost we can carry.

A clean split is hard because exposure spreads through other people. We suggest a before-and-after comparison with a fixed 90-day window, plus tagging. Log every free signup with company domain, every cap hit, every demo request with its source field, and every closed deal matched by domain to free accounts. If you admit free users by application, as DocSearch does, you can stagger admissions in waves and compare pipeline from domains admitted early versus late.

Our suggested decision rule: keep and expand if tagged free accounts show up in a meaningful share of new pipeline and support hours per free account stay flat. Tighten the cap if cap hits are high but demos are low. Shut it down if after two quarters no deal traces back to a free account. Use our guide on how to run a growth experiment for the write-up, and the growth model template to model free users as a loop row.

How strong the evidence is

The grade is case with numbers: at least one company documented the tactic and published results as numbers. GreyNoise carries the grade, with its own release reporting over 12,000 free accounts, more than 1,000 daily active users, and commercial growth above 100%. Algolia adds only a usage count. GreyNoise was seed-stage at the time, which is context, not a result. Neither source shows a baseline, a conversion rate from free to paid, or any causal link between free users and sales. Treat this as a plausible pattern with reach numbers, not proof of payback. If you are still choosing a model, read freemium vs free trial vs reverse trial first.