About Adoya

Adoya automates Apple Search Ads management with AI-powered bidding and keyword expansion to drive app installs and revenue. The platform integrates with MMPs to optimize for in-app events and provides centralized analytics for improved campaign ROI.

<problem> Managing Apple Search Ads campaigns is time-intensive, requiring significant manual effort for bidding, keyword expansion, and performance analysis. This operational overhead limits app marketers' capacity to focus on strategic growth initiatives and can lead to suboptimal campaign ROI due to inefficient resource allocation. </problem> <solution> Adoya provides an automated platform designed to streamline and enhance Apple Search Ads performance for app install and revenue generation. The system leverages data-driven algorithms for automated bid management and intelligent keyword expansion, significantly reducing manual campaign optimization tasks. By integrating with mobile measurement partners (MMPs), Adoya enables optimization towards in-app events such as purchases and revenue, providing a clear path to improved campaign return on investment. The platform offers comprehensive reporting and analytics through an intuitive dashboard, allowing marketers to visualize trends and gain actionable insights without extensive manual data manipulation. </solution> <features> - Automated bidding engine utilizing proprietary algorithms to optimize ad spend towards defined performance goals (e.g., cost-per-install, return on ad spend). - AI-powered keyword expansion that identifies and incorporates relevant search terms to broaden campaign reach and discover new user acquisition opportunities. - Direct integrations with leading Mobile Measurement Partners (MMPs) for granular tracking and optimization of in-app events and downstream revenue. - Centralized dashboard providing interactive reports, trend visualization, and performance analytics for all managed Apple Search Ads campaigns. - Automated daily performance reports delivered via email for quick review of key metrics. - Cloud-native software architecture requiring minimal setup and ongoing maintenance. - Secure portal for managing multiple apps and campaigns from a unified interface. </features> <target_audience> The primary target audience includes app marketers and mobile growth teams responsible for managing and optimizing Apple Search Ads campaigns to drive app installs and revenue. </target_audience> <revenue_model> Revenue is generated through a subscription-based SaaS model, with pricing tiers likely based on the volume of managed ad spend or the number of active campaigns. </revenue_model>

What does Adoya do?

Where is Adoya located?

Adoya is based in San Francisco, United States.

Location

San Francisco, United States

Employees

4 employees

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Adoya

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Executive Summary

adoya.io 10+

San Francisco, United States

Funding

No funding information available.

Team (<5)

No team information available.

Company Description

Problem

Managing Apple Search Ads campaigns is time-intensive, requiring significant manual effort for bidding, keyword expansion, and performance analysis. This operational overhead limits app marketers' capacity to focus on strategic growth initiatives and can lead to suboptimal campaign ROI due to inefficient resource allocation.

Solution

Adoya provides an automated platform designed to streamline and enhance Apple Search Ads performance for app install and revenue generation. The system leverages data-driven algorithms for automated bid management and intelligent keyword expansion, significantly reducing manual campaign optimization tasks. By integrating with mobile measurement partners (MMPs), Adoya enables optimization towards in-app events such as purchases and revenue, providing a clear path to improved campaign return on investment. The platform offers comprehensive reporting and analytics through an intuitive dashboard, allowing marketers to visualize trends and gain actionable insights without extensive manual data manipulation.

Features

Automated bidding engine utilizing proprietary algorithms to optimize ad spend towards defined performance goals (e.g., cost-per-install, return on ad spend).

AI-powered keyword expansion that identifies and incorporates relevant search terms to broaden campaign reach and discover new user acquisition opportunities.

Direct integrations with leading Mobile Measurement Partners (MMPs) for granular tracking and optimization of in-app events and downstream revenue.

Centralized dashboard providing interactive reports, trend visualization, and performance analytics for all managed Apple Search Ads campaigns.

Automated daily performance reports delivered via email for quick review of key metrics.

Cloud-native software architecture requiring minimal setup and ongoing maintenance.

Secure portal for managing multiple apps and campaigns from a unified interface.

Target Audience

The primary target audience includes app marketers and mobile growth teams responsible for managing and optimizing Apple Search Ads campaigns to drive app installs and revenue.

Revenue Model

Revenue is generated through a subscription-based SaaS model, with pricing tiers likely based on the volume of managed ad spend or the number of active campaigns.