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Appnext: App Discovery and Recommendation Platform

Appnext supports mobile app developers and publishers in user acquisition. It may be useful for companies looking to expand their reach via OEM partnerships and behavioral targeting.

At a glance

Category
Marketing
Best for
Mobile App Developers, App Publishers, Mobile App Marketers, OEMs and Mobile Operators
Pricing
Appnext uses paid models such as Cost Per Install (CPI) and Cost Per Action (CPA). Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Key use cases
User Acquisition for App Developers, App Monetization for Publishers, OEM Device Integration, Organic Growth for Established Apps
Official website
appnext.com
Screenshot of appnext website

Appnext is a discovery platform designed to connect mobile app users with new applications through a recommendation engine. It operates across both in-app and on-device environments, utilizing partnerships with mobile device manufacturers (OEMs) and other app developers to create discovery touchpoints.

The tool is designed for mobile app developers, publishers, and OEMs. It supports app monetization and user acquisition using various ad formats and a predictive technology called Timeline, which is designed to suggest apps based on user behavioral data.

Buyers can manage activity through a self-serve platform that provides visibility into targeting, creatives, and performance metrics. The platform supports different pricing models, including Cost Per Install (CPI) and Cost Per Action (CPA).

Before choosing Appnext, buyers should confirm if their specific app meets the requirements for the Organic Recommendation Program if they are not using paid discovery, as this requires specific install counts and store ratings.

Key Features

Recommendation Engine

Suggests apps to users based on location, historical behavior, interests, and preferences.

On-Device Discovery

Places app recommendations directly on the mobile device through OEM and operator partnerships.

Timeline Technology

A user intelligence system designed to predict the next app a user is likely to need based on behavioral data.

Diverse Ad Formats

Supports native ads, interstitial video ads, banners, and carousel widgets.

Self-Serve Platform

Provides a dashboard for controlling campaign targeting, creatives, and tracking KPIs with real time insights.

Organic Recommendation Program (ORP)

A non-paid discovery option for apps that meet specific installation and rating thresholds.

Use Cases

User Acquisition for App Developers

Running paid campaigns using CPI and CPA models to find new users through device-level recommendations.

App Monetization for Publishers

Integrating native ads, banners, and video interstitials to generate revenue from app users.

OEM Device Integration

Integrating on-device discovery tools to provide users with personalized app suggestions.

Organic Growth for Established Apps

Joining the ORP to gain visibility on the platform for apps with over 1 million installs.

Best For

Mobile App DevelopersApp PublishersMobile App MarketersOEMs and Mobile Operators

Pricing

Appnext uses paid models such as Cost Per Install (CPI) and Cost Per Action (CPA). Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

FAQ

Who is Appnext designed for?

It is designed for mobile app developers, app publishers, and OEMs who want to increase app visibility or monetize their existing user base.

How does the Organic Recommendation Program work?

Apps with 1 million or more installs and a Google Play rating of 3.5 or higher can join the ORP to be published organically on the platform.

What pricing models does Appnext support?

The platform supports Cost Per Install (CPI) and Cost Per Action (CPA) models with real time optimization.

Source category: Marketing

Source subcategory: Lead Generation

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Appnext: App Discovery and Recommendation Tool – AI Tools for Business