The Goal-Clarity Audit: Why a 1.1% Page Has Four CTAs
Objective: Given a real landing page brief with four competing CTAs and a stalled 1.1% conversion rate, apply the lesson's 'one primary goal per page' rule to diagnose the actual problem before recommending any test.
You're a growth marketer at Casper Sleep. The flagship mattress product page converts at 1.1%, well under the 2.8% category average, and nobody agrees on why.
Classify every CTA as macro or micro conversion, then use a session-recording note to name the friction point, not a guess.
Before you start
What you'll need
Free path (everything below is enough to finish)
Free, no setup, fast for a small sorting task
Free tier covers up to 35 sessions/day, enough to spot a repeating pattern
Paid upgrades (optional, faster/deeper)
Full-featured testing platform for the follow-on test
The process
2 steps
Step 01 of 02
Every page on a site should have exactly one primary conversion goal. Pages without a clear goal convert poorly almost by definition.
The mattress product page has four buttons above the fold: 'Buy Now', 'Take the Sleep Quiz', 'Chat with a Sleep Expert', and 'Download the Sizing Guide'. Which one is the macro conversion, and what are the other three?
Procedure
- List the 4 CTAs in column A, one per row
- Tag 'Buy Now' as Macro (the primary revenue-driving action)
- Tag the remaining 3 as Micro (quiz, chat, guide download)
- Note which micro-CTAs currently outrank Buy Now in visual weight
CTA Type Visual weight Buy Now Macro 3rd (below fold) Take the Sleep Quiz Micro 1st (hero, large button) Chat with a Sleep Expert Micro 2nd (sticky footer) Download the Sizing Guide Micro 4th (small text link)
Healthy
Buy Now is the largest, highest-contrast element on the page; the 3 micro-CTAs are visually secondary.
Unhealthy
The macro conversion (Buy Now) is visually the 3rd priority on the page, buried below two micro-conversion CTAs.
What this means
A page with 4 co-equal buttons has no primary goal in practice, even if one is labeled 'Buy Now'. Visual hierarchy, not the label, decides what visitors actually click.
So what do I do about it?
| Symptom | Action | Effort |
|---|---|---|
| Buy Now sits below the Sleep Quiz CTA in visual weight | Promote Buy Now to the dominant hero position; demote the quiz to a secondary text link | 30 min |
Step 02 of 02
The CRO loop starts with Collect Data, then Identify Friction, then Form Hypothesis. Skipping straight to a hypothesis without data produces guesses, not tests.
A Hotjar session-recording note reads: '68% of visitors scroll past the Buy Now button without pausing, then exit within 8 seconds of reaching the reviews section.' What is the friction, and what hypothesis does it support?
Procedure
- Filter recordings where scroll depth reached 60-80% (the reviews section)
- Watch 5 recordings matching the 68% pattern
- Note the exact element visible on screen at the moment of exit
- Write one hypothesis in the lesson's 'If X, then Y, because Z' format
Pattern: 68% of exits occur while the review-star widget is on screen, showing '3.6 out of 5 (12 reviews)'. Hypothesis: If we move the review widget below a curated set of 4-5-star reviews, then exit rate at scroll depth 60-80% will drop, because visitors are reacting to a low-looking review count rather than the reviews themselves.
Healthy
Exit spikes align with a specific, screenshot-able element, giving a hypothesis a concrete cause.
Unhealthy
Treating 'people are leaving' as the finding and jumping straight to a headline test with no diagnosis.
What this means
A friction point tied to a specific, visible element is testable. A vague 'engagement is low' finding is not.
So what do I do about it?
| Symptom | Action | Effort |
|---|---|---|
| 68% of sessions exit at the same scroll depth | Watch 5 of those recordings before writing any hypothesis | 30 min |
Final deliverable
A one-page audit memo naming Buy Now as the single primary conversion goal, reclassifying the other three CTAs as micro-conversions, and stating one friction-based hypothesis ready to test.
See a reference example
Warby Parker Home Try-On page, goal-clarity audit (excerpt) PRIMARY GOAL: Start Home Try-On (macro) MICRO CONVERSIONS: Take the Style Quiz, Book In-Store Appointment, Email Signup FRICTION FOUND: 54% of exits occur immediately after the shipping-cost disclosure line. HYPOTHESIS: If we state 'Free shipping both ways' in the hero instead of after scroll, then exit rate near that line will drop, because visitors currently discover the cost mid-decision instead of upfront.
Success criteria
You're done when you can:
- Correctly names exactly one macro conversion and reclassifies the rest as micro
- Friction claim is tied to a specific, observable element, not a vague impression
- Hypothesis follows the exact 'If X, then Y, because Z' format