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Product Comparison Optimization

19 experiments testing product comparison changes across Direct Energy and NRG brands. Win rate: 37%. 7 winners found.

10 findings10 validated1% avg success rateMedium ConfidenceProduct Comparisonproduct-listing

Key Findings

Grid Page

WinnerMedium Confidence

Winner: Grid Page.

Expected Lift
5% – 9.3%
Success Rate
1%
Type
winning pattern
Plain-language summary: This product comparison test showed a +7.15% improvement. Projected annual revenue impact: $207,753. The winning approach should be implemented as the new default.
brand:Direct Energyteam:Canadaorg:NRGtype:quantitativedevice:Desktopfactor:Clarityfactor:Anxietylever:Usabilityfactor:Distractionlever:Attentionlever:Distraction

Grid Hero

WinnerLow Confidence

Winner: Grid Hero.

Expected Lift
1.9% – 3.6%
Success Rate
1%
Type
winning pattern
Plain-language summary: This product comparison test showed a +2.78% improvement. Projected annual revenue impact: $30,748. The winning approach should be implemented as the new default.
brand:Direct Energyteam:Canadaorg:NRGtype:quantitativedevice:Desktopfactor:Clarityfactor:Relevancefactor:Value Propositionfocus:Copylever:Motivationlever:Value Statementlever:Value Proposition

Grid Page

WinnerMedium Confidence

Winner: Grid Page.

Expected Lift
4.7% – 8.8%
Success Rate
1%
Type
winning pattern
Plain-language summary: This product comparison test showed a +6.78% improvement. Projected annual revenue impact: $121,582. The winning approach should be implemented as the new default.
brand:Direct Energyteam:Canadaorg:NRGtype:quantitativedevice:Desktopfactor:Clarityfactor:Relevancecomponent:Filter/Sortevidence:Test Archiveevidence:Heuristic/Best Practiceevidence:Web Analyticslever:Usability

Grid Page

WinnerHigh Confidence

Winner: Grid Page.

Expected Lift
7.2% – 13.4%
Success Rate
1%
Type
winning pattern
Plain-language summary: This product comparison test showed a +10.34% improvement. Projected annual revenue impact: $131,167. The winning approach should be implemented as the new default.
brand:Direct Energyteam:Canadaorg:NRGtype:quantitativedevice:Desktopfactor:Clarityfactor:Relevancefocus:Layoutfocus:Stylingevidence:Test Archiveevidence:Heuristic/Best Practiceundefined:undefinedevidence:Web Analyticslever:Usability

Texas Grid Plan Builder

WinnerHigh Confidence

Winner: Texas Grid Plan Builder.

Expected Lift
14.2% – 26.3%
Success Rate
1%
Type
winning pattern
Plain-language summary: This product comparison test showed a +20.22% improvement. Projected annual revenue impact: $359,803. The winning approach should be implemented as the new default.
brand:Direct Energyteam:Canadaorg:NRGtype:quantitativedevice:Desktopfactor:Clarityfactor:Relevanceaction:Redesignevidence:Test Archiveevidence:Heuristic/Best Practiceevidence:Web Analyticslever:Comprehensionlever:Product Understanding

Grid Page Reorder

WinnerMedium Confidence

Winner: Grid Page Reorder.

Expected Lift
4.5% – 8.3%
Success Rate
1%
Type
winning pattern
Plain-language summary: This product comparison test showed a +6.42% improvement. Projected annual revenue impact: $149,752. The winning approach should be implemented as the new default.
brand:Direct Energyteam:Canadaorg:NRGtype:quantitativedevice:Desktopfactor:Relevancefactor:Value Propositioncomponent:Pricingfocus:Copyevidence:User/Market Researchevidence:Test Archiveevidence:Business Contextaction:Painted Doorlever:Motivationlever:Value Statementlever:Value Proposition

Grid Page Testimonials

WinnerLow Confidence

Winner: Grid Page Testimonials.

Expected Lift
2.9% – 5.3%
Success Rate
1%
Type
winning pattern
Plain-language summary: This product comparison test showed a +4.08% improvement. Projected annual revenue impact: $337,191. The winning approach should be implemented as the new default.
brand:Direct Energyteam:Canadaorg:NRGtype:quantitativedevice:Desktopdevice:Mobiledevice:Tabletfactor:Value Propositionfactor:Anxietypsychology:Social Proofpsychology:Trust/Securitycomponent:Social Proofaction:Addlever:Trustlever:Motivationlever:Credibilitylever:Securitylever:Value Statementlever:Social Prooflever:Value Propositionfactor:Relevance

Grid Attributes

LoserLow Confidence

Loser: Grid Attributes.

Expected Lift
-3.2% – -6%
Success Rate
0%
Type
losing pattern
Plain-language summary: This product comparison test showed a -4.63% impact. The control outperformed the variant, indicating this approach should be avoided. The insight protects against potential revenue loss.
brand:Direct Energyteam:Canadaorg:NRGtype:quantitativedevice:Desktopdevice:Mobiledevice:Tabletfactor:Claritycomponent:Pricingfocus:Stylingfocus:Copyevidence:Test Archivelever:Value Proposition

Grid vs List Layout

LoserHigh Confidence

Loser: Grid vs List Layout.

Expected Lift
-13.2% – -24.6%
Success Rate
0%
Type
losing pattern
Plain-language summary: This product comparison test showed a -18.92% impact. The control outperformed the variant, indicating this approach should be avoided. The insight protects against potential revenue loss.
brand:Direct Energyteam:Canadaorg:NRGtype:quantitativedevice:Desktopfactor:Clarityfocus:Layoutfocus:Stylingevidence:Test Archive

Grid Plan Colors

LoserMedium Confidence

Loser: Grid Plan Colors.

Expected Lift
-3.8% – -7%
Success Rate
0%
Type
losing pattern
Plain-language summary: This product comparison test showed a -5.42% impact. The control outperformed the variant, indicating this approach should be avoided. The insight protects against potential revenue loss.
brand:Direct Energyteam:Canadaorg:NRGtype:quantitativedevice:Desktopdevice:Mobiledevice:Tabletfactor:Clarityfocus:Stylingevidence:Heuristic/Best Practice

Frequently Asked Questions

What is the "Product Comparison Optimization" insight cluster?

This cluster aggregates 10 research findings, test results, and optimization principles related to product comparison optimization. Each entry includes expected lift ranges, confidence levels, and source attribution so you can evaluate applicability to your own tests.

How reliable are the expected lift ranges in this cluster?

Lift ranges represent aggregated outcomes from multiple experiments and research sources. They are directional estimates, not guarantees. Your actual results will vary based on traffic volume, audience, current baseline, and implementation quality. Always validate with your own A/B test.

How do these findings apply to Product Comparison optimization?

These findings are specifically relevant to product comparison optimization on product-listing pages. Use the expected lift ranges to prioritize your testing roadmap and the key learnings to inform your hypothesis development.

Where does the data in this cluster come from?

Data is sourced from published UX research, aggregated experiment data across multiple organizations, industry studies, and validated internal findings. Each entry includes its source type so you can assess credibility. Entries marked as validated have supporting statistical evidence.

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