Two nearly identical plans pages split conversion traffic and confuse users about the canonical URL.
CURRENT — Duplicate plans pages
⚠ Duplicate plans pages split trafficTwo nearly identical plans pages split conversion traffic and confuse users about the canonical URL.
RECOMMENDED — Canonical plan page
Add canonical badgeHighlight plan prices
FixThis edit highlights the canonical plan page and marks it as such, reducing confusion and consolidating traffic.
Both are photographs of the live page — the right side has the
change applied in the browser.
Evidence
Observed on the live site
✓ Flagged independently by 2 of 7 analysts
A section heading reads “The Fastest Rural & On-the-Go Internet in the USA”.
A section heading reads “$99.95 /month”.
A section heading reads “$129.95 /month”.
5 distinct calls to action compete on the same page: “CHECK COVERAGE”, “Get My Recommendation”, “GET STARTED — $99.95/MO”, “GET STARTED — $129.95/MO”, “CHECK MY COVERAGE”.
Business case
If this change wins
0 – 0
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: 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?
Two nearly identical plans pages split conversion traffic and confuse users about the canonical URL.
Current state
cta: CHECK COVERAGE | Get My Recommendation | GET STARTED — $99.95/MO | GET STARTED — $129.95/MO | CHECK MY COVERAGE; notes: Two URLs serve identical content.
Change
cta: Single canonical URL with one primary CTA; notes: Consolidate to one URL and redirect the other.
Acceptance criteria
GIVEN a first-time visitor on the affected page
WHEN the change is live
THEN Consolidate to one URL and redirect the other,
with no regression at 375px and 1280px widths.
Tracking
event: cro_duplicate_plans_pages_split_traffic 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);
not testable at current 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
= 157,392 annual visits to the site (measured organic traffic) x 2.00% conversion x 0.5-2.0% relative lift. Supply an average order value to state this in money.
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.