SaaS landing pages usually block first revenue in the same place.
LandingBoost analyzed 4,814 SaaS and product landing pages to compare $0-current-revenue pages against pages with current revenue.
Most early SaaS pages do not fail because the copy is “bad.” They fail because the page asks for belief before showing evidence.
Biggest $0 vs current-revenue gaps
Six proof signals, comparing $0-current-revenue pages with pages that have current revenue.
Correlations, not causal proof. Read these as landing page intelligence from the LandingBoost/TrustMRR corpus.
This is a correlation from the LandingBoost/TrustMRR corpus, not causal proof.
Rates by current revenue tier
The proof signals climb as pages cross into current revenue.
| Tier | Pages | Median current revenue | Product/output | Proof near click | Visible metric | Named/numeric proof |
|---|---|---|---|---|---|---|
| $0 current | 1,545 | $0 | 15% | 14% | 13% | 26% |
| $1-$1k | 1,675 | $78 | 72% | 69% | 63% | 73% |
| $1k-$10k | 376 | $2,397 | 57% | 54% | 50% | 66% |
| $10k-$100k | 122 | $22,986 | 27% | 25% | 25% | 51% |
| $100k+ | 20 | $244,031 | 15% | 15% | 20% | 50% |
What proof looks like by category
The proof that earns trust is concrete and category-specific. Inspect the right kind for your market.
SEO / content tools
- Published content volume
- Traffic / click growth
- Ranking movement
Developer tools
- API scale
- Docs / playground proof
- GitHub / community proof
AI visibility tools
- Citation examples
- AI mention coverage
- Visibility movement
CRO / landing page tools
- Before / after examples
- Audit issue count
- Score movement
Social growth tools
- Reply volume
- Engagement growth
- Lead / reply outcomes
Frequently asked
What is the first-revenue landing page gap?
In this corpus, pages with current revenue were much more likely than $0-current-revenue pages to show product/output, proof near the decision point, visible metrics, named/numeric proof, and proof above the fold.
Does this prove that proof near the CTA causes revenue?
No. The report is a correlation from the LandingBoost/TrustMRR corpus. Use it as landing page intelligence, not causal proof.
Methodology & limitations
- Curated public subset of the larger TrustMRR-derived source library, not the full internal set.
- Revenue context is not always the same metric (MRR, recent 30-day revenue, or historical total).
- Extraction can miss or misclassify proof on unusual, localized, or heavily dynamic pages.
- Correlation, not causation.