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Landing Page Copy
ACCEPT

FluffFilter Homepage

4.3 / 5

Required Elements

Clear Value Proposition

Excellent - 'Review 50 blog posts in 10 minutes, each with surgical, location-specific fixes' is specific and outcome-focused

Social Proof

Good testimonials with names and companies, but missing quantitative metrics from customers

Low Friction Cta

Excellent - '7-day trial • 15 analyses • All features included' removes all friction

What to Fix

Critical Gaps

  • No specific customer success metrics (e.g., 'Agency X reduced review time by 75%')
  • Missing explicit comparison to manual review process or competitor tools

Priority Fixes

1

Social proof section - Sarah Gallagher testimonial

Problem

Testimonial is qualitative only, doesn't include specific outcome or metric

Fix

Add metric above or below testimonial: 'Sarah's team now reviews 3× more content per week with FluffFilter' or add a second testimonial with metrics like: 'We cut content review time from 6 hours to 45 minutes per batch. FluffFilter paid for itself in week one.' — Mike Chen, Content Director at [Company]

Why this matters

Specific time/volume metrics make the benefit concrete and calculable for prospects evaluating ROI

2

Pricing section - Pro plan description

Problem

Shows labor savings calculation ($2,400/month) but this is buried and could be more prominent

Fix

Move the ROI calculation higher on page, ideally in a dedicated section before pricing: 'The Math: Pro plan customers save 12+ hours/week on content review. At $50/hour editor rates, that's $2,400/month in saved labor. FluffFilter costs $79/month. ROI: 30×'

Why this matters

Making ROI calculation prominent and early helps justify purchase decision before visitor reaches pricing

3

Missing section between 'Not Another AI Detector' and testimonials

Problem

Doesn't explicitly address objection: 'Why not just use ChatGPT/Claude directly for content review?'

Fix

Add comparison section: 'Why Not Just Use ChatGPT? You could paste each article into ChatGPT and ask for feedback. But you'd get: generic advice that doesn't match your content type, no structured scoring, no batch processing, no history tracking. FluffFilter gives you specialized evaluators for 20+ content types, consistent scoring, and saves every analysis. It's ChatGPT with guardrails and memory.'

Why this matters

This is the most obvious objection from savvy users who already have AI access - preempting it builds trust and differentiates

4

Hero section subheading

Problem

Minor - could add one more specific outcome metric to strengthen already-strong value prop

Fix

Extend subheading: 'Review 50 blog posts in 10 minutes, each with surgical, location-specific fixes, not vague "make it better" feedback. Catch 80-90% of quality issues that normally require manual review.'

Why this matters

Adding the 80-90% catch rate (already mentioned in FAQ) to hero section quantifies the quality level and sets expectations

5

Scale Review Capacity section

Problem

Good section but could use a specific before/after example

Fix

Add concrete example after the section header: 'Example: A 5-person content team publishing 40 posts/month spent 30 hours on first-pass reviews. With FluffFilter handling initial quality checks, they're down to 6 hours - and catching more issues.'

Why this matters

Specific scenario helps prospects pattern-match to their own situation and calculate potential time savings

Score Breakdown

Value Proposition Clarity

5 / 5

Specificity And Proof

4 / 5

Objection Handling

4 / 5

Cta Clarity And Friction

5 / 5

Message Hierarchy

4 / 5

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