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Research · Trust & Social Proof

The trust signal hierarchy

We tagged 1,200 landing pages for 11 distinct trust signals — logos, customer counts, named testimonials, ratings, case studies, awards. Then ranked them by correlation with page score. Customer counts won. Anonymous testimonials lost. The patterns matter more than the volume.

Published May 24, 2026 · 10 min read · 1,200 pages tagged for 11 trust signal types

r = 0.54

Top Correlation

Customer count claims ↔ overall page score

38%

Zero Proof

Pages with no testimonials of any kind

23%

Fake Tells

Pages with anonymous testimonials + stock photos

+1.7 pts

Specificity Bonus

Quantified counts vs vague claims, Trust dimension

The premise

Trust is the dimension teams skip — and pay for

Trust & Social Proof is weighted 15% of the overall roast.page score. It also has the largest gap between the median page and the top quartile of any dimension: median 4.2/10, top 25% averages 7.1. That’s a 2.9-point dimension gap — large enough to swing the overall score by 4–5 points before any other dimension changes.

The dimension is wide because 38% of the pages we sampled have no testimonials at all. No customer logos. No counts. No reviews. A founder photo and a vibe. Those pages are gambling that the H1 alone will earn the click. Usually it doesn’t.

The pages that do have trust signals vary wildly in how effectively they use them. So we tagged 1,200 pages for 11 distinct signal types — counts, logos, testimonials (named and anonymous), star ratings, review counts, case studies, press mentions, awards, certifications, and founder photos — and ran bivariate correlations against the page’s Trust dimension score and overall score. The ranking is below. Two of the rankings are surprising.

Finding #1

The full ranking, by correlation with score

11 trust signal types, ordered by their bivariate correlation with overall page score. The frequency column shows how often each appeared in our sample.

Quantified customer count

“20,000+ teams,” “1M+ developers”

21%

Frequency

r = 0.54

Correlation

Named testimonial (photo + full name + company)

High verifiability

33%

Frequency

r = 0.48

Correlation

Case study link with metric

“How Acme cut churn 47%”

14%

Frequency

r = 0.42

Correlation

Star rating + review count

“4.8 from 3,200 reviews”

9%

Frequency

r = 0.31

Correlation

Logo bar with customer logos

No context, no count

51%

Frequency

r = 0.31

Correlation

Press mention logos

TechCrunch, Forbes, etc.

11%

Frequency

r = 0.18

Correlation

Certification badge

SOC 2, ISO 27001

8%

Frequency

r = 0.14

Correlation

Award badge

G2 Best Of, Product Hunt, etc.

6%

Frequency

r = 0.11

Correlation

Founder/team photo

Just the photo, no context

13%

Frequency

r = 0.09

Correlation

Star rating without review count

“4.8/5 stars” (no denominator)

7%

Frequency

r = 0.04

Correlation

Anonymous testimonial + stock photo

The fake-tell pattern

23%

Frequency

r = −0.12

Correlation

The most common trust signals are also the least effective. The most effective ones are also the most under-used.

Three things stand out. First, the most common signal (logo bar, 51% of pages) is mid-pack on effectiveness. Second, the second-most common pattern (anonymous testimonials with stock photos, 23%) correlates negatively with score. Third, the top-ranked signals (customer counts, named testimonials, case studies) are used by minorities of pages — leaving most pages competing on the dimensions that don’t move the needle.

Finding #2

Why customer counts beat logo bars

The logo bar has been the default trust signal since 2010. The data suggests a quantified count would serve most pages better.

Logo bars work via name recognition. If a visitor sees a logo they recognize, the implicit thought is: “That company wouldn’t use this if it didn’t work.” That’s a real effect — pages with recognizable logos score 4.7/10 on Trust versus 3.9/10 for pages without. The 0.8-point lift is meaningful.

The problem is that recognition is unevenly distributed. A SaaS founder selling to engineering managers gains a lot from a GitHub logo and not much from a logo their target buyer doesn’t recognize. A creator-economy tool gains from a MrBeast endorsement and not much from showing a Fortune 500 client. The logo bar works for a subset of visitors, but it’s passive — the visitor has to recognize the logos for the signal to land.

A quantified count is active. “20,000 teams use us” works without requiring the visitor to recognize any specific team. The number itself is the proof. If the cohort is big enough to need a comma, the implicit thought becomes: “Lots of people figured this out before me; I’m not the first one to take this risk.” That’s a different psychological lever, and our data suggests it’s the stronger one.

Example · Linear

Above the fold: “Linear is used by thousands of teams to build products.” The phrasing is conservative — they don’t cite a precise number — but it still names a cohort the visitor can imagine joining. Pages that follow this pattern score an average of 5.6/10 on Trust. Pages that show only a logo bar with no count score 4.7/10.

Example · Vercel

Vercel cites “1M+ developers ship to Vercel.” The number is specific (1 million+), the action is concrete (ship, not just “use”), and the cohort is described in terms the target buyer identifies with. Trust dimension on the homepage: 8.4.

What if my customer count is small?

State it anyway, with framing that turns small into specific. “Used by 47 founders since January” communicates recency, growth, and the kind of customer (founders). It’s honest in a way that “trusted by industry leaders” isn’t. We’ve watched early-stage pages score meaningfully higher on Trust with this exact pattern than with a generic “trusted by” bar of three logos.

Finding #3

The fake testimonial penalty is real

Pages with anonymous testimonials + stock photos score lower than pages with no testimonials at all.

23% of the pages with any testimonials in our sample have the same identifiable pattern: a quote attributed to a first name and a job title (“Sarah, Marketing Director”), paired with a stock photo. Reverse image search confirms the photo is from a stock library on 87% of these. The pattern is so common, and so transparent, that experienced buyers register it as a fabrication signal within seconds.

Pages with this pattern averaged 3.6/10 on the Trust dimension. Pages with no testimonials at all averaged 4.4/10. Adding fake testimonials made the pages worse than honestly empty ones. The correlation with overall page score is mildly negative (r = −0.12) — small but real.

An empty trust section is honest. A fake one is a tell. Visitors notice. Our data does too.

The repair is straightforward: delete the section, or replace it with something verifiable. If you have one customer willing to be quoted by full name with a real photo, that’s worth more than six anonymous testimonials. If you don’t have any yet, use the space for something else — a specific founder note, a quantified count of trials or signups, a link to your changelog or roadmap. Anything verifiable beats anything generic.

How to source real testimonials when you’re early-stage

The pattern that consistently works: email three customers, ask for a two-sentence quote about a specific outcome they had, ask for a real photo (LinkedIn headshot is fine), confirm their full name and company. Most early customers will say yes. The exercise is more uncomfortable than fabricating, but the resulting page scores higher and stays honest.

Finding #4

Above the fold + before the CTA outperforms one location

Pages that placed trust signals in both positions scored 1.8 points higher than pages with one position only.

We tagged each trust signal’s placement: above the fold, mid-page, or footer. Then we looked at the relationship between placement count and Trust dimension score.

Trust signals above fold AND before CTA

The high-performance pattern

18%

Frequency

6.7

Trust avg

Above fold only

Common in B2B SaaS

27%

Frequency

5.5

Trust avg

Mid-page only

Common in long-scroll pages

31%

Frequency

4.9

Trust avg

Footer only

Trust signals as afterthought

6%

Frequency

3.8

Trust avg

No trust signals at all

The empty page

18%

Frequency

3.2

Trust avg

The two-position pattern works because it addresses different visitor questions. Above the fold, the visitor scans for “do these people exist?” — a logo bar or quantified count answers that quickly. Before the CTA, the visitor scans for “are they really going to convert me?” — named testimonials or case study links carry more weight in this second moment because the visitor is closer to action.

The strongest pattern we observed: a quantified count above the fold (“Trusted by 12,847 teams”), then 2–3 named testimonials with company affiliations just before the pricing or signup section. Pages following this exact pattern scored 7.1/10 on Trust — the same level as pages we’ve individually critiqued as standout examples (Stripe, Linear, Vercel).

What to do

Build the trust stack on your page in 90 minutes

Most landing pages can move their Trust dimension score by 1.5–2.5 points in one focused session. That maps to a 3–5 point overall page swing — meaningful, but more importantly, the trust block is the part of your page that builds compounding confidence as visitors return. Do this once and you don’t have to do it again until you’ve grown.

  1. Add a quantified count above the fold. Use whatever number you can defend: customers, signups, trials, downloads, books shipped, projects completed. Phrase it as “{number} {cohort} {action}” — “47 founders building with us since January” works at any scale.
  2. Replace anonymous testimonials with named ones. If your only options are anonymous, delete the section entirely. Email three current customers this week. Ask for a two-sentence quote and a real photo. Most will say yes.
  3. Add review counts to any star ratings. “4.8/5” alone is weak. “4.8 from 1,200 reviews” is strong. Pull the count from G2, Capterra, the App Store, your CRM — wherever you have it.
  4. Add one case study link with a metric. “See how Acme cut churn 47%” works even if the link goes to a one-paragraph case study. The metric in the link text does most of the trust work.
  5. Audit the logos. Every logo on your page should be a current paying customer. Remove any that are integration partners, mentions in press, or one-off conversations. 32% of pages in our sample fail this check.
  6. Place trust signals in two positions. Above the fold (logos or count) AND before the primary CTA (testimonials or case studies). 18% of pages do this. Those pages average 6.7/10 on Trust. Most pages don’t.

Run a fresh score afterward with the social proof audit tool or a full page analysis. Watch the Trust dimension move. It will. This is the most reliable single-session lift we’ve seen.

FAQ

Common questions about trust signals

What are the most important trust signals on a landing page?

Quantified customer counts ('20,000+ teams,' '1M+ developers') correlate most strongly with overall page score in our dataset, at r = 0.54. Named testimonials (full name, photo, company) are second at r = 0.48. Logo bars without any context come third at r = 0.31. Star ratings with high review counts (4.5+ from 300+ reviews) tie at r = 0.31. Anonymous testimonials ('Sarah, CEO') actually correlate slightly negatively with score because they signal fabrication. The hierarchy is consistent: specificity and verifiability beat decoration.

How many testimonials should a landing page have?

Two or three named, photographed, attributed testimonials outperform six anonymous ones in our data. Pages with 2–4 named testimonials averaged 5.8/10 on the Trust dimension. Pages with 6+ anonymous quotes averaged 4.1/10 — lower than pages with no testimonials at all (4.4/10). Quantity isn't the lever. Verifiability is.

Do customer logo bars actually help conversion?

Yes, but less than most teams assume. Pages with a logo bar averaged 4.7/10 on Trust versus 3.9/10 for pages without one. That's a real effect, but smaller than the lift from a quantified customer count (4.7 → 6.4) or a named testimonial (4.7 → 5.8). The biggest issue with logo bars is that 32% of the ones we audited featured logos that weren't actually customers — case study mentions, integration partners, or media coverage being passed off as customer endorsements. That's a credibility risk worth checking.

Should I show specific numbers or 'trusted by leading companies'?

Specific numbers. 'Trusted by 12,847 teams' outperforms 'Trusted by leading companies' by an average of 1.4 points on the Trust dimension. The vague phrasing reads as a hedge — if you had specific numbers, you'd quote them. The specific phrasing tells the visitor exactly what cohort they'd be joining. If you're early-stage and the number is small, say so anyway. 'Used by 47 founders since January' is honest, specific, and unusual enough to be memorable.

What's the best place to put trust signals on a landing page?

Above the fold and again before the primary CTA. Pages with trust signals in both positions scored 6.7/10 on the Trust dimension. Pages with above-the-fold signals only averaged 5.5/10. Pages with mid-page signals only averaged 4.9/10. The cumulative effect matters: the visitor scans for proof when they first land (do these people exist?) and again when they're about to act (are they really going to convert me?). Two placements, different content (logos above, testimonials below, for example), is the strongest pattern.

How do star ratings affect landing page conversion?

They help when the review count is visible, and barely help when it's not. Pages displaying '4.8 stars from 3,200+ reviews' scored 1.7 points higher on Trust than pages with just '4.8/5 stars.' The review count provides the denominator the brain needs to evaluate the rating. A 4.8 from 12 reviews and a 4.8 from 12,000 are different facts; visitors know that intuitively. Always show the count.

What is the worst trust signal pattern on landing pages?

Anonymous testimonials with stock photos. We flagged this on 23% of the pages with testimonials in our sample. The pattern is identifiable: a quote attributed to a first name and a job title, accompanied by a generic headshot. The combination signals fabrication so reliably that visitors discount the entire trust section. Pages with this pattern averaged 3.6/10 on Trust — measurably below pages with no testimonials at all. If you can't get a real photo and a full name, don't fake it. Remove the section instead.

How was this trust signal data collected?

We tagged 1,200 active landing pages for the presence and quality of 11 distinct trust signal types between January and April 2026: customer count claims, logo bars, named testimonials, anonymous testimonials, star ratings, review counts, case study links, press logos, certification badges, awards, and founder/team photos. For each tag, we noted placement (above fold / mid-page / footer) and verifiability (e.g., named testimonials with full name + photo + company versus those without). We then ran bivariate correlations between each trust signal type and the page's Trust dimension score and overall score.

How we gathered this data

We sampled 1,200 active landing pages from the roast.page dataset between January and April 2026. Each page was tagged by two reviewers for the presence and characteristics of 11 trust signal types: customer count claims, logo bars, named testimonials (full name + photo + company), anonymous testimonials, star ratings with review count, star ratings without count, case study links with metric, press mentions, certification badges, awards, and founder/team photos.

For each tagged signal, reviewers also noted placement (above fold / mid-page / footer) and verifiability (e.g., named testimonials cross-checked against LinkedIn). Stock-photo testimonials were flagged via TinEye/Google reverse image search on a random subsample (n = 200, 87% stock-photo confirmation rate among anonymous testimonials).

Bivariate correlations (Pearson r) were computed between each binary signal indicator and (a) the page’s Trust dimension score and (b) overall page score. Correlations reported in the body of this report are against overall page score.

Limitations: our sample skews B2B SaaS. E-commerce trust signals (which lean heavily on product reviews, return policies, and security badges) likely have a different hierarchy. Sample is large enough (n = 1,200) for stable point estimates on the binary tags, smaller for sub-cuts by industry.

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