Multiple competing CTAs on homepage and pricing page create choice overload and dilute the conversion path.
CURRENT —
scroll ↕ — this is the live page
⚠ Ambiguous primary CTA hierarchyMultiple competing CTAs without a clear primary action create choice overload and dilute the conversion path.
RECOMMENDED —
Fix
Evidence
Observed on the live site
✓ Flagged independently by 1 of 7 analysts
12 distinct calls to action compete on the same page: “Sign in”, “Start now”, “Contact sales”, “Sign in Sign in”, “Get started”, “Sign up with Google”, “Create a card issuing program”, “Watch now”.
12 distinct calls to action compete on the same page: “Sign in”, “Contact sales”, “Find what's right for you”, “Watch now”, “Get support”, “Start now”, “Get started”, “See more payment methods”.
Business case
If this change wins
0.2 – 1.0
orders per 1,000 visitors
Medium
Effort — 2-5 days
Not A/B testable
At typical traffic
Detecting this needs about 315,206 visitors per variant. Ship it as a sequenced change and log the date instead.
Prioritisation
PXL score: 4 / 10
Assessed from the live page
Question
Answer
Points
Is the change above the fold?
No
0
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?
Multiple competing CTAs on homepage and pricing page create choice overload and dilute the conversion path.
Current state
h1: Financial infrastructure to grow your revenue. Accept payments, offer financial services, and implement custom revenue models—from your first transaction to your billionth.; cta: Multiple CTAs: Sign in, Start now, Contact sales, Watch now, etc.; notes: No single primary CTA; secondary CTAs compete for attention.
Change
h1: Financial infrastructure to grow your revenue.; cta: Primary CTA: Start now; secondary CTAs de-emphasized.; notes: Designate a single primary CTA per page and visually de-emphasize secondary CTAs.
Acceptance criteria
GIVEN a first-time visitor on the affected page
WHEN the change is live
THEN Designate a single primary CTA per page and visually de-emphasize secondary CTAs,
with no regression at 375px and 1280px widths.
Tracking
event: cro_ambiguous_primary_cta_hierarchy 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
315,206 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 1.0-5.0% relative lift
The 1.0–5.0% relative-lift band is an assumption bounded by severity (High), 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, 5.0% lift
315,206
Sample per variant, 1.0% lift
7,729,571
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.