零售媒体
Teikametrics
AI 驱动的亚马逊和 Walmart 广告优化平台，以盈利能力为目标自动调整关键词出价
主要用途
Teikametrics ties retail advertising decisions to product profitability rather than chasing revenue alone. Sellers connect their Amazon and Walmart accounts, and the platform ingests cost of goods, margins, conversion rates, inventory levels, and campaign history to decide which keywords to target, how aggressively to bid, and where to shift budget. Its Flywheel automation continuously adjusts bids against profit goals, harvests converting search terms into exact-match campaigns, and flags wasted spend. A managed-service tier handles execution for teams that lack in-house operators. The result is a system that optimizes for contribution margin and stock position, which matters when a growing catalog makes manual sponsored-ads management impractical.
所在链路
Teikametrics sits at the optimization stage of retail media, turning marketplace economics into automated sponsored-ads decisions for Amazon and Walmart catalogs.
核心功能
- Profit-aware bid automation using cost, margin, and conversion inputs
- Automated keyword harvesting from search-term reports into structured campaigns
- Cross-marketplace management for Amazon and Walmart in one workspace
- Inventory-aware pacing that eases spend on low-stock products
- Performance dashboards segmented by product, campaign, and profit
- Optional managed services for hands-off account operation
适合谁用
- Amazon and Walmart sellers scaling beyond manual campaign management
- Brands that want ad spend governed by margin rather than revenue
- Catalog-heavy operations needing automated keyword harvesting
新手提示
- Enter accurate cost-of-goods and margin data first; the automation is only as good as the product economics you feed it.
- Let the Flywheel run for a few weeks before judging results, since profit-based bidding needs conversion history to stabilize.
- Use the managed-service option only if you genuinely lack operator time; the self-serve software covers most mid-size catalogs.