Skai (skai.io) is an enterprise-grade omnichannel advertising management platform serving the world's largest advertisers and agencies across search (Google, Microsoft), social (Meta, TikTok, Snapchat), retail media (Amazon, Walmart, Target), and app marketing channels. Formerly known as Kenshoo, Skai provides a unified platform for planning, activating, optimizing, and measuring advertising investments across the full digital media mix. The platform's AI-powered optimization, predictive budget modeling, and executive-level reporting serve Fortune 500 brands and global agencies managing nine-figure annual media budgets. With deep integrations across every major advertising ecosystem and a dedicated data infrastructure, Skai operates at a scale and sophistication level beyond standard self-serve marketing tools.
How Skai Works
Enterprise clients work with Skai's onboarding team to connect all advertising accounts across search, social, retail media, and app platforms. Skai's data infrastructure aggregates campaign data into a normalized, unified dataset enabling cross-channel analysis impossible within individual platform dashboards. Media planners use Skai's portfolio optimization and budget forecasting tools to allocate budgets across channels based on predicted returns. Campaign managers activate and manage campaigns using Skai's unified interface with platform-specific features exposed through a consistent workflow. AI-powered bid optimization runs continuously across search and shopping campaigns. Retail media specialists manage Amazon, Walmart, and retail platform campaigns alongside brand search campaigns for coordinated strategy. Executives access unified cross-channel reporting and measurement dashboards. Client success managers and Skai's support team assist with strategy, onboarding, and ongoing optimization.
Key Features
- Omnichannel management — search, social, retail media, and app marketing in one platform
- AI bid optimization — machine learning-powered bidding across search and shopping
- Portfolio budget optimization — allocates budgets across channels based on predicted returns
- Retail media management — Amazon, Walmart, Target, and other retail platforms
- Cross-channel reporting — unified measurement across all advertising channels
- Executive dashboards — C-suite level reporting and financial impact visualization
- Predictive forecasting — models future performance based on budget scenarios
- Audience management — cross-platform audience building and activation
- API and data export — enterprise data infrastructure and BI tool integration
- Dedicated client success — assigned account managers and strategic support
Skai Pricing
| Tier | Annual Price | Typical Use Case |
|---|---|---|
| Entry Enterprise | $114,000/year | Mid-market brands and agencies managing multi-channel campaigns at scale |
| Growth | $276,000/year | Large brands and agencies with significant omnichannel media budgets |
| Advanced | $504,000/year | Enterprise brands with complex cross-channel and retail media requirements |
| Enterprise Max | $756,000/year | Global Fortune 500 advertisers and holding company agencies at maximum scale |
Skai pricing is enterprise-contracted and varies based on media spend under management, channel scope, and feature requirements. Always contact Skai directly for accurate quotes. For more AI tool reviews, visit aitoolscoop.com.
Who Should Use Skai?
Skai is designed exclusively for enterprise-scale advertisers — Fortune 500 brands managing nine-figure annual media budgets across multiple channels, global holding company agencies (WPP, Publicis, Omnicom, IPG) requiring unified management across client portfolios, retail brands coordinating search and retail media strategy on Amazon and Walmart alongside brand campaigns, enterprise e-commerce companies requiring sophisticated cross-channel budget optimization and attribution, and global advertising operations requiring local market management within a single enterprise governance structure. Skai is not appropriate for small businesses, startups, or advertisers without dedicated media buying teams and the budget scale to justify enterprise platform costs.
