零售媒体
Quartile
AI 自动化亚马逊广告平台，通过机器学习跨越 Sponsored Products/Brands/Display 全自动优化
主要用途
Quartile is a retail and commerce media optimization platform that pairs machine-learning bidding with managed strategy across marketplaces like Amazon and Walmart plus search and social channels. It ingests sales, keyword, and competitive signals to adjust bids and budgets toward profit-oriented goals such as target ACoS or ROAS, and aims to coordinate spend across channels rather than treating each in isolation. Brands and agencies use it to scale sponsored campaigns without managing every keyword by hand, leaning on automation for the routine adjustments while a strategy layer handles structure, testing, and reporting. It suits sellers whose campaign complexity has outgrown native marketplace ad consoles.
所在链路
Quartile operates at the optimization stage of retail media, automating bid and budget decisions across networks that would be impractical to tune manually.
核心功能
- Machine-learning bid and budget optimization toward ACoS/ROAS goals
- Cross-channel management spanning marketplaces, search, and social
- Keyword harvesting and automated campaign structuring
- Profitability-aware pacing using sales and margin signals
- Consolidated reporting across retail media networks
- Managed-service strategy layer on top of automation
适合谁用
- Brands scaling Amazon and Walmart sponsored ads
- Agencies coordinating retail media across channels
- Sellers whose complexity exceeds native ad consoles
新手提示
- Define a clear profit goal (target ACoS or ROAS) up front; automation only performs as well as the objective you set.
- Give the algorithm a few weeks and stable inputs to learn before judging results or making manual overrides.
- Keep campaign structure clean at onboarding, since messy historical accounts limit how well any optimizer can perform.