Teikametrics

What is Teikametrics?

Teikametrics is an AI-powered marketplace optimization platform, branded ARI (Artificial Retail Intelligence), that helps brands and sellers advertise and grow across Amazon, Walmart, and TikTok Shop. It unifies full-funnel advertising, catalog optimization, inventory forecasting, and performance analytics in a single system, pairing proprietary AI with human marketplace strategists. The company was founded in 2015, tracing its roots to founder Alasdair McLean-Foreman's Amazon repricing software, and is headquartered in Boston, Massachusetts.

How Teikametrics works with TikTok

As a TikTok Marketing Partner, Teikametrics supports GMV Max campaign creation for TikTok Shop directly inside its platform, so sellers can create, launch, and monitor TikTok Shop campaigns alongside their Amazon and Walmart advertising. Users can let TikTok's AI auto-select best-performing videos or switch to manual mode to hand-pick content from Authorized, Affiliate, and Customized Posts, and preview how ads will appear across TikTok placements before publishing. Teikametrics surfaces TikTok's recommended ROI targets and daily budgets, supports Promotion Days for high-traffic shopping events, and flows all performance data into unified reporting.

Key features

• GMV Max campaign creation and management for TikTok Shop
• AI ad optimization that allocates spend based on projected profit
• Gen AI product listing optimization for titles and descriptions
• Unified full-funnel reporting across TikTok Shop, Amazon, and Walmart

Pricing

Not publicly listed as fixed tiers. Teikametrics offers an SMB free trial (Essentials) for single brands and smaller sellers to get started risk-free, plus Managed Services with custom pricing for more complex, multi-marketplace operations. Contact their team for a quote or demo.

Best for

Marketplace sellers, agencies, and brand owners who want to manage and optimize advertising across TikTok Shop, Amazon, and Walmart from one AI-driven platform, with the option of expert support layered on top.