
Lighting & Supplies

48%
Experiment success rate
54%
Total website gain
34%
Revenue contribution from IntelliSearch
How Lighting & Supplies Achieved a 54% Website Gain Through Data-Driven CRO
Lighting & Supplies, a leading online lighting retailer, wanted to improve their conversion rates and revenue across both mobile and desktop platforms. While traffic was steady, many users abandoned the funnel due to trust issues, unclear shipping information, and lack of engagement cues.
To address this, a series of CRO (Conversion Rate Optimization) experiments were launched - the focus was on enhancing user trust, reducing friction, and improving decision confidence.
Shipping Information on Cart Page (Desktop)
Problem:
Implementation:

Results:
USPs on Product Page (Mobile)
Problem:
Implementation:

Results:
Quick trust signals on mobile product pages increased the number of users adding to cart by 12%.
It also boosted buyer confidence and led to a significant campaign gain of 43.21% and contributed to an 8.29% increase in the overall website gain.
Review Summary (Desktop)
Problem:
Implementation:

Results:
Clicks on the review summary CTA increased 7 times.
The desktop experiment for the review summary resulted in a 23.13% gain at the campaign level, which translated to a 12.60% gain for the website.
Recently Viewed (Cross-Device)
Problem:
Implementation:

Results:
Personalization significantly increased repeat engagement across devices. The desktop experiment achieved a 25.57% campaign gain, resulting in a 17.05% gain for the website.
Social Proof (Desktop)
Problem:
Implementation:

Results:
Real-time social proof motivated fence-sitters to purchase faster. Bounce rate also reduced by 7% on account of this experiment.
The social proof experiment on desktop resulted in a campaign gain of 4.99% and a website gain of 3.03%.
Increasing Trust Level (Mobile)
Problem:
Implementation:

Results:
The experiment focused on increasing trust on mobile devices showed an 8.71% campaign gain and a 2.46% website gain.
Support and Shipping (Mobile)
Problem:
Implementation:
- Added a sticky help/support button on checkout.
- Integrated shipping FAQs (delivery times, returns, replacements) within product and checkout pages.
- Provided quick chat support access on mobile.

Results:
Transparent support + shipping details reduced uncertainty, improving trust and conversion rates on mobile.
The mobile experiment for support and shipping achieved a 15.73% gain at the campaign level and a 4.01% gain at the website level.
IntelliSearch (Site Search Optimization)
Problem:
Implementation:
- Introduced auto-suggest and predictive search.
- Prioritized high-converting queries in search rankings.
- Enhanced sort and filter options to improve product discovery.

Results:
- 34% revenue contribution from IntelliSearch
- 4x increase in conversions via Search
- 8X increase in Revenue per User
- 4.8% reduction in post Search Exits
IntelliSearch not only improved product discovery but also increased the conversion efficiency of search users, turning high-intent visitors into buyers.