Teikametrics

Teikametrics applies AI to marketplace advertising, optimizing bids and budgets on Amazon and Walmart with profit-aware automation and marketplace analytics.

Overview

Teikametrics builds AI optimization for marketplace advertising at scale. Its bidding models adjust keyword and product-target bids continuously against profitability goals, factoring in fees, margins, and inventory rather than platform-reported conversions alone. Its platform manages Sponsored Products, Sponsored Brands, and display across Amazon and Walmart, and its analytics connect advertising outcomes to total marketplace profit so teams can see what spend actually buys. For brands spending heavily on marketplace ads, the automation replaces hours of manual bid management while its strategy controls keep optimization aligned with business goals like new-product launches or inventory clearance rather than a single return target. The platform’s forecasting models anticipate seasonal demand and competitive pressure, allowing budget allocation to lead the market rather than react to it after advertising costs have already risen. Reporting transparency shows exactly how automation adjusted bids and why, which builds trust with brands that want model-driven optimization while retaining the ability to audit every meaningful budget decision.

Key Features

• Profit-aware AI bidding across Amazon and Walmart ad types
• Continuous bid optimization factoring fees, margin, and inventory
• Advertising-to-total-profit analytics connections
• Strategy modes for launches, growth, and inventory clearance
• Demand forecasting for seasonal budget planning
• Competitive-pressure forecasting that allocates budget ahead of cost inflation

Pricing

Teikametrics offers trial evaluations with pricing based on advertising spend managed and platform features. Managed service tiers combine the software with analyst support for brands without in-house retail-media expertise.

Who Is It For

Brands and agencies advertising at scale on Amazon and Walmart who want bidding handled by models accountable to profit, and teams needing advertising connected to total marketplace economics. It fits sellers whose ad complexity has outgrown manual management but whose margins cannot absorb optimization that chases platform metrics alone.