Best Choice Products
real-time AI optimization of bids, budget, and placement on retail media
Best Choice Products had its Sponsored Products campaigns on Walmart Connect driven by Quartile's AI (bids, budget, and placements in real time) and reports, on an October 2024 test, a ROAS up 27%, conversions up 17%, and attributed revenue up 50%.
Key points
- AI optimization of Sponsored Products on Walmart Connect (bids, budget, placements in real time).
- Operated by the partner Quartile in Managed Serve via the Walmart Connect API.
- October 2024 test: ROAS +27%, conversions +17%, attributed sales +50%.
- Evidence level B, confirmed active status.
Objective
Make the Sponsored Products budget work on Walmart without manual micro-management, letting the AI adjust bids, budgets, and placements as demand shifts.
The deployment
Best Choice Products, a furniture, toys, and outdoor goods brand sold on Walmart, handed its Sponsored Products campaigns to Quartile, an ad-tech partner in the Walmart Connect Partner Network. Quartile's technology adjusts bids in real time, reallocates budgets, and refines placements on the Walmart site and app, drawing on conversion and engagement data to target by device and moment. Over a test period from October 10 to 25, 2024, the brand achieved a ROAS up 27 percent, conversions up 17 percent, and attributed revenue up 50 percent. This is a case of optimization and automation of media buying on retail media, not creative generation.
Results Proof B
Quantified Walmart Connect platform case study naming Best Choice Products and the ad-tech partner Quartile; official interested source, hence B. The case and Quartile's role are corroborated by a second publication from the partner.
How it works
Documented architectureThe stack in detail
- outil Quartile AI optimization technology that adjusts bids, budgets, and placements of Sponsored Products campaigns in real time via the Walmart Connect API.
- plateforme Walmart Connect Walmart's retail media network (Sponsored Products on site and app), which provides the first-party conversion and engagement data.
- integrateur Quartile Managed Serve Managed offering operated by Quartile, a Walmart Connect Partner Network partner: the agency runs the optimization for the brand.
How it runs, concretely
For ops teams-
1Campaign setup agency (Quartile) / retail media team
The Sponsored Products campaigns are structured in Walmart Connect via Quartile.
-
2Real-time optimization AI (Quartile)
The AI adjusts bids, reallocates budgets, and refines placements on site and app.
-
3Contextual targeting AI (Quartile)
Analysis of conversion and engagement data to target by device (desktop, mobile, app).
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4Reading the results retail media team
Tracking of ROAS, conversions, and attributed revenue to validate the allocation.
The Walmart conversion and engagement data (by device and moment). Without reliable conversion feedback, the AI can neither reallocate the budget nor refine the placements.
How your customers perceive this type of use
Sourced studiesLe pricing algorithmique est le terrain le plus inflammable : 68% des consommateurs disent se sentir leses quand les marques utilisent le pricing dynamique et 80% jugent plus dignes de confiance les marques aux prix constants (Gartner, 2024). L'equite percue varie selon le secteur : le pricing dynamique n'est juge juste que par 33% a 40% des repondants selon qu'il s'agit de concerts ou de cinemas (YouGov, 17 marches). Le prix personnalise par les donnees individuelles est le plus rejete : 47% des Americains s'y opposent fermement (Consumer Reports, 2024).
Acceptance conditions
- La constance des prix comme signal de confiance : 80% jugent plus fiables les marques aux prix stables (Gartner 2024)
- Le secteur conditionne l'equite percue : le pricing dynamique est mieux tolere pour les cinemas (40% le jugent juste) que pour les concerts (33%) (YouGov 2024)
Red lines
- Le pricing dynamique percu comme abus : 68% se sentent leses (Gartner 2024)
- Le prix individualise a partir des donnees personnelles : 47% d'opposition ferme (Consumer Reports 2024)
- Les frais caches et hausses imprevues, vecus par 79% des consommateurs sur un an et associes a la perte de confiance (Gartner 2024)
Sources: Gartner 2024 · YouGov 2024 · Consumer Reports 2024
How to replicate
Inference, not sourcedData prerequisites
- catalog sold on a retail media network
- conversion and engagement feedback from the retailer
Org prerequisites
- dedicated Sponsored budget
- ad-tech partner or team able to operate the retail media API
Possible stack
- Walmart Connect + Quartile
- equivalent on Amazon Ads or Criteo
The plan, step by step
- Step 1Check the catalog (product pages, stock, prices) and the retailer's conversion feedback, then define the test campaign batch and the target ROAS.Deliverable: Locked test scope with the manual-management baseline.
- Step 2Connect the Sponsored Products campaigns to the AI optimization layer (API access, setting of objectives and caps).Deliverable: AI-driven campaigns in production.
- Step 3Let the learning run without manual micro-adjustments, monitoring spend, placements, and delivery pace.Deliverable: Ramp-up log with no intervention.
- Step 4Compare ROAS, conversions, and attributed revenue to manual management over an equivalent period, then decide on expansion.Deliverable: Quantified assessment and decision to expand the scope.
First step: Hand a batch of Sponsored Products campaigns to an AI optimization layer and compare ROAS and conversions to manual management over the same period.
The same pattern, proven in other industries
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Clarins
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Sources
- S1 Data-Powered Choices That Unlocked Strong Returns Interested party archive pending
- S2 Walmart Ad Revenue Grew 46% Last Year. Are You Capturing the Upside? (Quartile, cite Best Choice Products) Secondary archive pending
An error, newer info, a source?
This page lives on its accuracy. If a figure has moved, if the deployment has changed, or if you have a higher-quality source, tell us. Every sourced correction is verified before publication.