The homepage presents several competing primary CTAs (Sign in, See more stories, See forecast) without a single clear action, diluting user focus and reducing conversion likelihood.
CURRENT — Multiple competing CTAs
scroll ↕ — this is the live page
⚠ Multiple competing CTAsThe homepage hero presents three equally prominent CTAs: 'Sign in', 'See more stories on Yahoo 100', and 'See forecast'. This creates choice …
RECOMMENDED — Single primary CTA
One primary CTASecondary CTAs demotedClear visual hierarchy
Yahoo
Welcome to Yahoo
Your daily dose of news, sports, and more.
Sign in to personalize your feedSee more storiesSee forecast
✓ Single primary CTAOne clear action reduces cognitive load and boosts conversion.
FixPrioritize a single primary CTA by making 'Sign in to personalize your feed' the only button with primary styling, while demoting the other actions to secondary links. This establishes a clear visual hierarchy and guides users toward the most valuable action. Secondary CTAs remain available but are visually de-emphasized, reducing cognitive load and increasing the chance of conversion.
Evidence
Observed on the live site
✓ Flagged independently by 1 of 7 analysts
CTAs on '/' include 'Sign in', 'See more stories on Yahoo 100', and 'See forecast'.
No dominant CTA; users are presented with multiple paths.
Business case
If this change wins
0.2 – 1.0
orders per 1,000 visitors
High
Effort — 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: 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 presents several competing primary CTAs (Sign in, See more stories, See forecast) without a single clear action, diluting user focus and reducing conversion likelihood.
Current state
h1: None; cta: Multiple: Sign in, See more stories, See forecast; notes: No dominant CTA; users are presented with multiple paths.
Change
h1: Welcome to Yahoo; cta: Sign in to personalize your feed; notes: Prioritize a single primary CTA (e.g., Sign in) and de-emphasize secondary links.
Acceptance criteria
GIVEN a first-time visitor on the affected page
WHEN the change is live
THEN Prioritize a single primary CTA (e.g., Sign in) and de-emphasize secondary links,
with no regression at 375px and 1280px widths.
Tracking
event: cro_multiple_competing_ctas 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
High —
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.