Hisense lifts Walmart ad ROAS 227% with AI-powered dayparting via Pacvue

Background

Hisense was advertising smart TVs on Walmart's retail media platform and had already seen ROAS well above category averages. However, the ecommerce team identified room to improve efficiency by optimizing which hours and placements received ad spend.

What Was Implemented

• Deployed Pacvue's advertising automation and optimization platform for Walmart Sponsored Products
• Used Pacvue performance reporting to analyze results by placement (Buy Box vs. Search In-Grid) and device (desktop, mobile, mobile web)
• Applied bid modifiers to over-weight high-performing placements and platforms
• Activated Pacvue's dayparting feature to restrict ad delivery to peak-performance hours only, eliminating wasted spend during low-conversion windows
• Leveraged bulk operations for campaign management efficiency
• Monitored competitive share-of-voice on top keywords

Results

After applying bid modifiers by placement and platform, Hisense recorded a 71.8% increase in ROAS and 45.6% lift in conversion rate , with a 10% decline in cost per click . Adding dayparting drove further outsized gains: ROAS increased 227% , conversion rate rose 184% , and cost per click fell 18% , all according to Pacvue's published customer story.

Lessons

• Dayparting — restricting ad spend to proven high-performance hours — can produce step-change improvements in ROAS by eliminating waste rather than simply increasing budgets
• Granular placement and device-level analysis is a prerequisite: without understanding which placement and platform combinations perform best, bid modifiers cannot be applied effectively
• Retail media platforms like Walmart Connect respond strongly to behavioral timing signals; machine learning surfaces patterns that manual monitoring misses
• Efficiency gains (bulk operations, automated reporting) compound the value by freeing team capacity for strategic work