What trial lengths do paywalls advertise most — 3, 7, 14, or 30 days?
- By Ali Abouelatta
- n = 258
- Published
- Updated
- 2 min read
- paywall · trials · monetization · saas · experiments
Short answer
Among the 258 primary CTAs that name a trial length, 7-day is the clear leader at 57.4% (148 mentions, 42 companies), followed by 3-day at 20.9% (54 mentions, 9 companies).source[1]source[2] 14-day trails at 31 mentions (12 companies) and 30-day at 65 mentions (7 companies, an upper bound).source[3] If you only advertise one length, 7 days is the market default.
7-day is the most-advertised trial length — 57.4% of the 258 length-naming primary CTAs (148 mentions, 42 companies) — Lazyweb Research, July 2026.
Bar chart · Mentions
Mentions — The finding
One block is about 5.3 Mentions
- 7-day / 1-week
- 148
- 3-day
- 54
- 30-day
- 65
- 14-day
- 31
The finding
13.7% of primary CTAs (258 of 1,886) name an N-day trial in the button or its adjacent copy.source[1] Within that set, the length distribution is:
| Length | Mentions | Share of 258 | Distinct companies |
|---|---|---|---|
| 7-day / 1-week | 148 | 57.4% | 42 |
| 3-day | 54 | 20.9% | 9 |
| 30-day | 65 | — | 7 (upper bound) |
| 14-day | 31 | — | 12 |
Company-deduped, of the 63 companies that advertise any length, 42 use 7-day, 12 use 14-day, 9 use 3-day, and 7 use 30-day.source[2] Named 7-day examples: PictureThis ('Try 7 days free, then $39.99/year'), Yousician, Calm.source[1]
How to apply it
7-day is the safe default: two-thirds of length-advertising companies use it, and it is the only length that clears a meaningful sample in most verticals. Choose 3-day when you want to force a fast decision and your value is immediately obvious (utility and some education apps do this). Choose 14-day when the product needs setup time to show value — the 12 companies here include Termius, Canva, Adobe Express, and Zoom, all tools with a learning curve.source[3]
30-day should be treated skeptically: the regex also catches '30-day money-back guarantee' copy, so 65 mentions / 7 companies is an upper bound on genuine 30-day trials, not a reliable count.
Caveats
Length is detected with a \d+[- ]day regex over button text plus adjacent copy, so lengths shown only on plan cards elsewhere are missed. 3-day counts are concentrated: of 54 mentions, 34 come from a single company (plantin's 'Try 3 days free'), so cite the 9-company figure, not the row count, as prevalence.source[2] 14-day (31) and 30-day (65) are small samples — treat sub-length percentages cautiously. July 2026 pull.
Real in-market screens
Screens from real, in-market apps, tracked by Lazyweb Research.
Fubo1206 × 2622opens the full image 
Adobe1170 × 2532opens the full image 
Calm1170 × 2532opens the full image 
Grammarly1125 × 2436opens the full image
The numbers
| # | Stat | Computed from |
|---|---|---|
| [1] | 258/1,886 name a length (13.7%); 7-day 148 (57.4%) | trial_length_any_day_share, trial_length_7day |
| [2] | company-deduped: 63 any, 42 7-day, 12 14-day, 9 3-day, 7 30-day | trial_length_companies, trial_length_3day, trial_length_14day, trial_length_30day |
| [3] | 14-day 31 mentions/12 companies; 30-day 65/7 (upper bound) | trial_length_14day, trial_length_30day |
Methodology
Universe: 258 length-naming primary CTAs (of 1,886) across ~800 tracked apps, July 2026. Lengths detected by regex over button plus adjacent copy; report company-deduped counts because some lengths are concentrated in single companies. 30-day is an upper bound.
Sources
- [1]
Lazyweb Research analysis of 1,886 primary paywall CTAs (~800 tracked apps), July 2026
Trial length via \d+[- ]day regex over button text plus adjacent copy; named examples from extracted copy.
- [2]
Lazyweb Research analysis of 63 length-advertising companies (~800 tracked apps), July 2026
Company-deduped length counts; 3-day rows concentrated in one company (plantin).
- [3]
Lazyweb Research analysis of trial-length mentions in primary CTAs (~800 tracked apps), July 2026
30-day regex also catches money-back-guarantee copy; treat as upper bound.
Source: Lazyweb Research — proprietary analysis of real, in-market app screens. Cite as Lazyweb Research, 2026-07-07.