Castlery
fully automated shopping campaign (bids, targeting, budget, creative)
Castlery replaced its manual catalog campaign with the Pinterest Performance+ suite (AI-automated media buying) and multiplied its ROAS by 2.3, raised its average order value by 98%, and lowered its CPA by 14% on a comparable scope.
Key points
- Switch from a manual catalog campaign to Pinterest Performance+ (automated bids, targeting, budget, creative).
- Pinterest Performance+ suite run with the business partner Aleph in Asia-Pacific.
- ROAS x2.3, average order value +98%, cost per acquisition -14% vs manual management.
- Evidence level B, live status confirmed.
Objective
Move from manual management of catalog campaigns to automated acquisition on Pinterest, to sell more furniture with fewer manual adjustments.
The deployment
Castlery, a direct-to-consumer furniture brand, compared its manually managed Catalog Sales campaign to the full Pinterest Performance+ suite, which automates bids, targeting, budget, and creative selection. Across Asia-Pacific, with Aleph as its Pinterest business partner, the automated version produced a ROAS multiplied by 2.3, an average order value up 98 percent, and a cost per acquisition down 14 percent against manual management. What makes the case interesting is the measured gap on a comparable scope: same brand, same catalog, but the automation searches better for high-basket buyers. This is a media buying optimization and automation case, not generation.
Results Proof B
Quantified Pinterest platform case study naming Castlery, its Performance Marketing lead, and the partner Aleph; an official interested source, hence B. The Performance+ product is confirmed by the Pinterest product page.
How it works
Inferred typical approachThe internal detail is not public. Here is a proven approach that leads to the same result, to adapt to your stack.
The stack in detail
- plateforme Pinterest Performance+ Pinterest Ads automation suite: bids, targeting, budget, and creative selection driven by Pinterest ML
- infra Pinterest Tag + API de conversions purchase events sent from the browser and server side, the signal that feeds ROAS and average order value optimization
- outil Catalogues Pinterest product feed (visuals, prices, stock) that powers the automated shopping ads
- integrateur Aleph official Pinterest business partner in Asia-Pacific, supporting the Castlery activation
How it runs, concretely
For ops teams-
1Catalog and tracking connection e-commerce team
The product feed and the purchase event are wired into Pinterest.
-
2Choosing the objective acquisition team
The brand sets the objective (ROAS or conversions) and the budget, then activates the Performance+ suite.
-
3Automatic optimization AI (Pinterest Performance+)
The AI manages bids, targeting, budget, and creative selection to search for high-basket buyers.
-
4Reading the results acquisition team
The team tracks ROAS, average order value, and CPA, and adjusts budget and catalog.
The conversion event (purchase) reported through the Pinterest tag and the conversions API. Without this signal, ROAS and average order value optimization cannot work.
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
- structured product catalog
- Pinterest tag + conversions API with a purchase event
Org prerequisites
- dedicated Pinterest media budget
- willingness to delegate management to automation
Possible stack
- Pinterest Performance+
- e-commerce catalog connector
The plan, step by step
- Step 1Wire the catalog feed and purchase measurement (Pinterest tag + conversions API), and verify the events reported.Deliverable: Catalog synced and purchases visible in Pinterest Ads Manager
- Step 2Duplicate the manual catalog campaign as a Performance+ version, same budget, same objective (ROAS or conversions).Deliverable: Two comparable campaigns active, manual and automated
- Step 3Let the learning phase converge without touching the settings.Deliverable: Campaign out of learning with a readable conversion volume
- Step 4Compare ROAS, average order value, and CPA on an equal scope, then shift the budget to the winning version.Deliverable: Quantified review and budget shift decision
First step: Duplicate a manual catalog campaign in Performance+ and compare ROAS, average order value, and CPA on an equal scope.
The same pattern, proven in other industries
Allwyn
AI-driven omnichannel programmatic buying with retail data activation
Nivea
genAI testing and optimization of creative elements + automated localization at scale
Clarins
AI-automated sales campaign plus dynamic catalog ads, evaluated on incrementality via Conversion Lift against last-click
Sources
- S1 Castlery Success Story - Pinterest Performance+ Interested party archive pending
- S2 Maximize Results. Minimize Effort. Get Pinterest Performance+ Interested party 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.