The homepage has six distinct CTAs with no clear primary action, making the next step ambiguous.
CURRENT — Six competing CTAs
scroll ↕ — this is the live page
⚠ Competing CTAs on homepageThe homepage presents six distinct CTAs with no visual hierarchy, making the next step ambiguous for first-time visitors. With multiple competing …
RECOMMENDED — Single primary CTA
One CTA instead of sixSecondary actions as pillsClear visual hierarchyReduced cognitive load
Birthday Keepsakes
Make Their Birthday A Keepsake
Celebrate with a personalized cake topper that becomes a cherished memory.
Shop All
From $12.99
Free shipping on orders over $50.
Join The ClubLearn More
✓ Single Primary CTAOne clear action guides visitors to the main offer, reducing ambiguity.
FixReduce the homepage to a single primary CTA (Shop All) that is visually dominant and clearly the main action. Relegate secondary actions like Join The Club and Learn More to subtle text links or pills below the fold, so they do not compete for attention. This creates a clear visual hierarchy, guiding users toward the intended conversion path and reducing ambiguity. The change is low-effort and can be implemented quickly, with a potential lift in conversion by focusing user attention.
Evidence
Observed on the live site
✓ Flagged independently by 1 of 7 analysts
9 distinct calls to action compete on the same page: “Shop All”, “Shop”, “Join The Club”, “Explore”, “Discover Our Process”, “Explore Cake Toppers”, “Get The Goose”, “Learn More”.
Business case
If this change wins
0.1 – 0.4
orders per 1,000 visitors
Medium
Effort — 2-5 days
Not A/B testable
At typical traffic
Detecting this needs about 1,941,808 visitors per variant. Ship it as a sequenced change and log the date instead.
Prioritisation
PXL score: 5 / 10
Assessed from the live page
Question
Answer
Points
Is the change above the fold?
Yes
1
Is the change noticeable in under 5 seconds?
Yes
2
Does it add or remove an element?
Yes
1
Does it run on a high-traffic page?
Yes
1
Verified by direct technical measurement?
No
0
Criteria that need your data
4 of these could not be answered from the live page.
Session recordings, survey or support themes, and analytics access would
raise the confidence of this ranking — they do not indicate a weaker
finding.
Question
Answer
Points
Discovered via user testing?
No
0
Discovered via qualitative feedback (survey, support)?
No
0
Supported by heatmaps or session recordings?
No
0
Found via digital analytics or real-user field data?
The homepage has six distinct CTAs with no clear primary action, making the next step ambiguous.
Current state
h1: Make Their Birthday A Keepsake; cta: Multiple competing CTAs; notes: Homepage has six distinct CTAs with no clear primary action.
Change
h1: Make Their Birthday A Keepsake; cta: Shop All; notes: Reduce to one primary CTA (Shop All) and relegate secondary actions.
Acceptance criteria
GIVEN a first-time visitor on the affected page
WHEN the change is live
THEN Reduce to one primary CTA (Shop All) and relegate secondary actions,
with no regression at 375px and 1280px widths.
Tracking
event: cro_competing_ctas_on_homepage on interaction with the
changed element; verify it fires in BOTH variants before opening traffic.
Success metric
conversion rate on the affected step
QA checklist
Chrome / Safari / Firefox · 375px + 1280px ·
keyboard reachable · screen-reader name present · no CLS introduced
Effort
Medium —
2-5 days
Test plan
1,941,808 visitors per variant
(95% significance, 80% power);
duration depends on traffic.
Rollback
Feature-flag the change; revert the flag if the primary metric
drops for 3 consecutive days.
1,000 visitors × baseline conversion × relative lift
= per 1,000 visitors at an assumed 2.00% baseline conversion rate and a 0.5-2.0% relative lift
The 0.5–2.0% relative-lift band is an assumption bounded by severity (Medium), not a prediction.
The baseline conversion rate is an assumption — the client did not supply one, so an industry-typical 2.0% is used and labelled as such.
Why the range is conservative: Across 127,000 experiments, 12% produced a statistically significant improvement on the primary metric; a healthy programme win rate is 10-30%. Winning tests also overstate their true effect, so treat this as the prize if the change works — never expected revenue.
How effort is estimated
Bracket
Days
Typical scope
Low
0.5–2
copy, colour, labels, image swaps
Medium
2–5
layout shifts, form changes, new modules
High
5+
personalisation, funnel work, integrations
Assigned by matching the recommended change against these scopes; the estimate is a bracket, not a quote.
Sample size math
Two-proportion z-test, the standard pre-test sample-size calculation:
n = [z₀.₀₂₅·√(2·p̄·(1−p̄)) + z₀.₂₀·√(p₁(1−p₁)+p₂(1−p₂))]² / (p₁−p₂)²
Baseline conversion
2.0% (assumed)
Significance / power
95% / 80%
Sample per variant, 2.0% lift
1,941,808
Sample per variant, 0.5% lift
30,842,948
Halving the minimum detectable effect roughly quadruples the sample required, which is why the conservative figure is so much larger.
What PXL is
PXL is CXL's prioritisation framework: binary questions instead of subjective 1–10 guesses, weighted toward evidence.
Findings discovered by inspection score zero on all four evidence questions — that is the honest signal, not a defect. Findings verified by direct measurement earn the extension point and, where real-user field data is involved, the analytics point.