AI TOOL PROFILE
Kevel | Retail Media Technology Platform
- Marketing
- Marketing Automation
- Retail companies
- Ecommerce stores
- Online marketplaces
- Fintechs
- Travel brands
- Delivery apps
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Retail companies, Ecommerce stores, Online marketplaces, Fintechs, Travel brands
- 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
- Visit kevel official website
How AI is used
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
Kevel Ad Server
An ad serving API for ad decisioning, campaign management, and catalog ingestion.
Kevel Audience
A tool for first-party data audience segmentation and ad personalization.
Kevel Console
An omnichannel campaign management user interface with automation and self-service capabilities.
Yield Forecast
Uses machine learning simulations to predict future ad delivery and performance.
Custom Relevancy Models
Supports the use of a business's own machine learning models to help determine the most relevant ads.
AI Segment Builder
Helps create targetable audience segments based on desired outcomes.
Use Cases
Launching a Retail Media Network
Supporting the setup of an ad network with custom placements across a retail website and loyalty app.
Sponsored Listings
Integrating promoted product listings into search results and digital shelves within a marketplace.
First-Party Data Activation
Using loyalty program data and purchase history to create personalized ad segments.
Omnichannel Ad Deployment
Extending ad placements beyond the website to include mobile apps and in-store digital screens.
Integrations
- Snowflake
- AWS S3
- Databricks
- BigQuery
- Azure Blob Storage
- SFTP
- Google Cloud Storage
- Segment
FAQ
What is Kevel?
- Kevel is a retail media technology platform that provides APIs for ad serving, audience segmentation, and campaign management.
Who is Kevel designed for?
- It is designed for retailers, online marketplaces, fintechs, travel brands, and delivery apps looking to build their own ad networks.
How does Kevel handle user privacy?
- Kevel is SOC 2, GDPR, and CCPA compliant and uses server-side ad serving, which means it does not rely on third-party cookies.
Can I use my own data models with Kevel?
- 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
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