COMMERCE MEDIA HUB

Welcome to your primary source for curated content at Skai for commerce media. Explore our blogs, glossary, and helpful links to stay ahead.

2025: The Year of Commerce Media

Last year, the retail media landscape reached a pivotal moment of evolution into commerce media. This transformation isn’t just a refinement of retail media; it’s the beginning of a new era where campaigns are more connected, measurable, and impactful than ever before.

71%
of marketers planning budget increases in 2025
200+
retail media networks competing globally
98%
of marketers see significant value in adopting a full-funnel strategy

What is Commerce Media?

Commerce media refers to the evolving intersection of advertising and ecommerce, specifically, any media strategy/buying that ties back to some form of commerce data to facilitate a transaction.

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Dr. Squatch Finds Winning Equation With Skai’s Tech Plus Team

Dr. Squatch collaborated with Skai’s technology and team to integrate their data, leading to refined strategies and improved performance.

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OMD Eliminates €44k in Wasted Spend for Philips by Leveraging Skai’s Search Term Analysis

OMD utilized Skai’s integrated data analysis to identify and eliminate inefficient spending, enhancing Philips’ competitive positioning.

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Haleon leverages Shelf Intelligent Media to Boost ROAS

Haleon combined Profitero competitor stock insights with Skai capabilities to create connective workflows between tracking competitor stock levels to immediate media activations.

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Using AI to Optimize Keywords and Increase ROAS by 16%

A client employed Skai’s AI-driven automation to optimize their keyword strategy, resulting in a 16% increase in Return on Ad Spend (ROAS).

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Improving ROAS 39% by integrating real-time weather data

By integrating real-time weather data through Skai’s AI capabilities, a client achieved a 39% improvement in ROAS, demonstrating the impact of AI-driven automation.

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Streamlining spend across publishers boosts conversion rate by 154%

A client consolidated their marketing efforts across multiple publishers using Skai’s unified platform, leading to a 154% increase in conversion rates.

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A game-changing tool for consolidating retail media

Kaitlyn Fundakowski, Senior Director of E-Commerce at CHOMPS, described Skai as a “game-changing tool for consolidating retail media,” highlighting its ability to streamline reporting and maintain key insights efficiently.

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Commerce Media Glossary

Artificial Intelligence (AI) in Commerce Media – The use of machine learning and automation to optimize ad targeting, bidding, and personalization.
Agentic AI – A type of artificial intelligence capable of autonomously making decisions, taking actions, and adapting to dynamic environments with minimal human intervention.
Attribution Modeling – A framework for determining how credit for sales and conversions is assigned to various touchpoints in the customer journey.
Audience Targeting – The process of segmenting consumers based on demographics, behaviors, or intent to optimize ad relevance.
Automated Bidding – AI-driven bidding strategies that adjust ad spend in real-time for better performance.
Commerce Data – First-party and third-party data related to shopping behavior, transactions, and customer journeys.
Commerce Media – The intersection of retail media, performance marketing, and AI-driven advertising to optimize commerce outcomes.
Commerce Signal – Data points from consumer shopping behaviors that help optimize targeting and ad placements.
Conversion Rate (CVR) – The percentage of users who complete a desired action, such as a purchase or signup.
Customer Lifetime Value (CLV) – The projected revenue a customer will generate throughout their relationship with a brand.Conversion Rate (CVR) – The percentage of users who complete a desired action, such as a purchase or signup.
Demand-Side Platform (DSP) – A platform that enables advertisers to buy digital ad inventory programmatically.and automation to optimize ad targeting, bidding, and personalization.
Dynamic Creative Optimization (DCO) – AI-powered personalization of ad creatives based on real-time data inputs.
Engagement Rate – A measure of how users interact with ads or content, such as clicks, shares, and comments.
First-Party Data – Data collected directly from customers, such as purchase history and website behavior.
Full-Funnel Strategy – A marketing approach that addresses awareness, consideration, and conversion stages.
Incrementality – The measurement of how much additional value or revenue an ad campaign drives beyond what would have happened organically.
Lookalike Audiences – A method of finding new customers who share characteristics with existing high-value customers.
Marketing Mix Modeling (MMM) – A statistical analysis method that measures the impact of marketing efforts on sales.
Omnichannel Advertising – A unified marketing approach that delivers a seamless and consistent brand experience across multiple channels, both online and offline.
Performance Marketing – A results-driven approach where advertisers pay for measurable actions, like clicks or purchases.
Product Feed Optimization (PFO) – The process of enhancing product data feeds to improve performance in commerce media campaigns.
Retail Media – Advertising within a retailer’s ecosystem, including on-site, off-site, and in-store placements, leveraging first-party shopper data for targeted marketing.
Retail Media Network (RMN) – A platform operated by a retailer that allows brands to advertise to shoppers on the retailer’s properties.
Return on Ad Spend (ROAS) – A key performance metric measuring revenue generated per dollar spent on advertising.
Second-Party Data – First-party data acquired from another company through a direct partnership.
Social Commerce – Social advertising that drives consumers to retailer sites or enables direct transactions within social media platforms, blending engagement with commerce.
Supply-Side Platform (SSP) – A platform that allows publishers to sell ad inventory programmatically.
Trade Marketing – Marketing efforts aimed at retailers, wholesalers, and distributors rather than end consumers.
User Intent Signals – Data points that indicate a consumer’s likelihood to purchase, such as search queries and browsing behaviors.
Zero-Party Data – Data that a customer voluntarily shares with a brand, such as preferences and purchase intentions.