Case Study: How One Landing Page Doubled Reads After a Readability Rewrite

The Problem Nobody Wanted to Name

Meridian Project Management Software had a conversion problem. Their pricing page — the one that was supposed to close deals — had a bounce rate of 74%. Visitors landed, scrolled for about eight seconds, and left. The sales team blamed pricing. The design team blamed the layout. Nobody looked at the words.

That changed when their content strategist, Dana Ferreira, ran the page through a readability analyzer on a Wednesday afternoon out of curiosity. The result: a Flesch-Kincaid grade level of 16.2. That means the page read like a doctoral dissertation. Their target customer — a mid-size operations manager who's juggling three vendor calls and a staffing crisis — was being asked to decode sentences like this:

"Meridian's enterprise-grade, cloud-native infrastructure facilitates seamless cross-departmental task orchestration, enabling stakeholder visibility into mission-critical workflow dependencies."

That sentence isn't wrong, exactly. It's just useless. Nobody reads it. Everybody skips it.

What the Numbers Actually Looked Like

Before the rewrite, Dana pulled a month of scroll-depth data from Hotjar. Here's what she found:

68% of visitors never made it past the first section heading
Average time on page: 41 seconds
CTA button clicks: 2.1% of sessions
Form completions (demo requests): 0.4%

The page was 847 words long. Most people read roughly 56 of them. The company was spending $4,200 a month on paid search driving traffic to a page that was, functionally, invisible.

Step One: Diagnosing What Made It Hard to Read

Dana didn't start rewriting immediately. She spent a full day doing something more useful: reading the page out loud and noting every moment she stumbled. This is an underrated diagnostic tool. Your mouth knows what your eyes forgive.

She flagged three patterns:

Stacked noun phrases. "Cross-departmental task orchestration" — four nouns propped against each other. Each one requires mental unpacking before you can move to the next word.
Passive constructions everywhere. "Visibility is enabled." "Dependencies are tracked." Nobody enables anything. Nothing does anything. The product floats in a passive fog.
Jargon used as filler, not meaning. Words like "enterprise-grade," "cloud-native," and "seamless" had lost any specificity. They were there because they sounded impressive, not because they communicated.

She also noticed sentence length variance was nearly zero. Every sentence ran between 22 and 28 words. That rhythmic sameness is exhausting — the eye has no place to rest, no short sentence to act as a breath.

The Rewrite: What Actually Changed

Dana set a target: bring the grade level below 9. She wanted a page that a smart, busy person could scan in 90 seconds and understand. That doesn't mean dumbing things down. It means respecting the reader's time.

Here's the before and after for the opening paragraph:

Before (Grade 16):
"Meridian's enterprise-grade, cloud-native infrastructure facilitates seamless cross-departmental task orchestration, enabling stakeholder visibility into mission-critical workflow dependencies across your organization's operational hierarchy."

After (Grade 7):
"Meridian keeps your team's work visible. Managers see what's stuck. Employees know what's next. Everyone stays on the same page — without a meeting to explain it."

Same idea. Forty fewer words. A grade level that dropped by nine points. And something the first version never had: a sentence so short it lands like a punch.

The specific edits Dana made across the page:

Replaced noun stacks with verb-led sentences. "Task orchestration" became "organize work." "Stakeholder visibility" became "managers can see."
Cut passive voice by 80%. Every passive construction got a subject. Someone does something now.
Added sentence rhythm variation. After every two long sentences, a short one. Sometimes three words. Sometimes four. The reader's brain gets micro-rests.
Removed "seamless," "robust," "enterprise-grade" entirely. If you can't prove it in the next sentence, cut it.
Specificity over vagueness. "Saves time" became "most teams cut their weekly status meeting by one hour in the first month."

The final word count dropped from 847 to 612. The page got shorter. It also got denser with actual information — because padding and abstraction were doing a lot of the word-count work before.

Why the Grade Level Number Matters More Than People Think

Grade level is a proxy measurement, not a perfect one. But it tracks something real: cognitive load. The Flesch-Kincaid formula weights average sentence length and average syllable count per word. High scores on both = more mental effort per sentence. Mental effort is a cost. Readers are cost-conscious.

The research on this is consistent. Nielsen Norman Group's eye-tracking studies show users scan landing pages rather than reading them linearly. Plain Language guidelines from the U.S. federal government recommend grade 6–8 for public-facing web content — not because the audience is uneducated, but because people reading online are distracted, rushed, and often on mobile screens with small type.

B2B marketing is especially resistant to this lesson. There's a cultural belief that complex language signals expertise. It doesn't. Complexity signals that you haven't done the work of thinking clearly about what you're offering.

The Results, Four Weeks Later

Dana pushed the revised page live on a Thursday. She kept everything else constant — same ads, same traffic sources, same design and layout, same pricing. Only the words changed.

After 30 days:

Average time on page: 1 minute 38 seconds (up from 41 seconds — a 139% increase)
Scroll depth past first section: 61% of visitors (up from 32%)
CTA button clicks: 5.7% of sessions (up from 2.1%)
Demo request form completions: 1.1% (up from 0.4% — nearly triple)

The headline improvement was time-on-page. That's the leading indicator that something changed in how people were experiencing the content. When people read more, they click more. That's the whole chain.

Revenue impact was harder to isolate cleanly, but over the following quarter, demo-to-trial conversions held steady while demo volume increased. The sales team noticed the leads were arriving with better questions — more specific, more implementation-focused. Dana's interpretation: people were actually reading the page now, so they showed up to demos prepared.

What This Means for Your Own Pages

The Meridian case isn't a fluke. It's a demonstration of what happens when you stop treating writing as decoration and start treating it as infrastructure. The words on your landing page are doing a job. If they're failing, your design can't save them. Your ads can't save them. Your sales team is working against a headwind you created at the keyboard.

If you want to run the same diagnostic Dana ran, here's a practical starting point:

Paste your page text into a readability tool (Hemingway Editor, Readable.com, or even Microsoft Word's built-in readability stats). Note the grade level.
Read the first three paragraphs out loud. Mark every place you stumble or slow down.
Find your five longest sentences. Rewrite each one as two shorter sentences.
Search for the word "seamless." Delete it. Then search for "robust," "enterprise," and "leverage." Delete those too. Now replace each with the specific thing you were trying to say.
Read it out loud again. If it sounds like a human being talking to another human being, you're close.

The target grade level for most commercial landing pages is somewhere between 7 and 10. That's not a ceiling on your intelligence or your reader's. It's a calibration for the medium — web text, scanned quickly, on a phone, between two other tasks.

The Actual Lesson

Dana didn't have a bigger budget after the rewrite. She didn't run new ads or hire a designer. She did one thing: she made the page easier to read. And the page, in return, did its job.

Writing that converts isn't clever writing. It isn't lyrical writing. It's clear writing. It's writing that doesn't make the reader work for the meaning — because the meaning is already there, waiting on the surface, obvious and direct.

That's harder to write than it sounds. But the metrics don't care how hard it was. They only care whether it worked.