Kevel | Retail Media Technology Platform
Kevel helps retail and ecommerce businesses build and manage their own ad networks using first-party data. It is designed for companies that want control over their ad logic and user experience.
At a glance
- Category
- Marketing
- Best for
- Retail companies, Ecommerce stores, Online marketplaces, Fintechs, Travel brands
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Launching a Retail Media Network, Sponsored Listings, First-Party Data Activation, Omnichannel Ad Deployment
- Integrations
- Snowflake, AWS S3, Databricks, BigQuery, Azure Blob Storage
- Official website
- kevel.com
Kevel is a retail media technology platform designed for companies that want to launch their own ad networks. It provides infrastructure via APIs to handle ad decisioning, campaign management, and reporting, which supports businesses in maintaining control over their data and brand identity.
The platform is built for retailers, online marketplaces, fintechs, and travel brands. It supports various ad formats, such as sponsored listings and native ads, which can be deployed across websites, mobile apps, and in-store screens.
Buyers should note that Kevel is an API-first solution designed to be embedded into a company's existing technology stack. This provides flexibility in how ads are displayed and managed, though it requires technical implementation.
The platform is designed for privacy compliance, maintaining SOC 2, GDPR, and CCPA certifications, and uses server-side ad serving to function without third-party cookies.
Key Features
An ad serving API for ad decisioning, campaign management, and catalog ingestion.
A tool for first-party data audience segmentation and ad personalization.
An omnichannel campaign management user interface with automation and self-service capabilities.
Uses machine learning simulations to predict future ad delivery and performance.
Supports the use of a business's own machine learning models to help determine the most relevant ads.
Helps create targetable audience segments based on desired outcomes.
Use Cases
Supporting the setup of an ad network with custom placements across a retail website and loyalty app.
Integrating promoted product listings into search results and digital shelves within a marketplace.
Using loyalty program data and purchase history to create personalized ad segments.
Extending ad placements beyond the website to include mobile apps and in-store digital screens.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Kevel is a retail media technology platform that provides APIs for ad serving, audience segmentation, and campaign management.
It is designed for retailers, online marketplaces, fintechs, travel brands, and delivery apps looking to build their own ad networks.
Kevel is SOC 2, GDPR, and CCPA compliant and uses server-side ad serving, which means it does not rely on third-party cookies.
Yes, Kevel's Custom Relevancy feature allows retailers to use their own machine learning models to help select relevant ads.
Source category: Marketing
Source subcategory: Marketing Automation
