AppStance specializes in optimizing and automating Apple Search Ads campaigns through AI-driven keyword bid management. Our platform helps businesses increase revenue, improve return on ad spend (ROAS), reduce cost per acquisition, and minimize wasted ad spend.
AppStance continuously monitors and adjusts keyword bids using advanced AI algorithms for optimal performance. This ensures your campaigns achieve the best results while providing a comprehensive analysis and easy-to-use tools to track, manage, optimize, and scale campaigns efficiently.
With AppStance, managing Apple Search Ads becomes effortless. Our user-friendly interface and seamless attribution integration allow businesses to make data-driven decisions, enhance ad performance, and maximize profitability. Discover the power of AI-driven optimization with AppStance and transform your Apple Search Ads campaigns for maximum impact.
AppStance Features
- AI based automation
- Cohort revenue optimization
- Keyword bid optimization
- MMP/Attribution integration
- Full featured ASO tool
- ASA
- ASO Synergy
- Bulk ASA manager
- Competitor intelligence
Team
Dilip Reddy
As the founder of AppStance, I am on a mission to help app developers and marketers optimize their Apple Search Ads campaigns and increase their ROI using data-driven insights and automation by AI. I have over 10 years of experience as a senior data engineer, data scientist and architect, working with various data technologies and platforms, such as AWS, Snowflake, Apache Airflow, Apache Spark, ML and Python/SQL. In my previous roles, I architected, designed, and developed end-to-end data architectures, including data lakes, data warehouses, data pipelines, and data models, using scalable and reliable frameworks and best practices. I also led, guided, and managed teams of data engineers and data scientists, delivering custom solutions for data needs and API sources, unifying data architectures from mergers, and ensuring data quality, security, and integrity. I am passionate about solving complex data problems and creating value for businesses and customers.
AppStance Data
| Employees: | 10-50 |
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Sources: Company Data, Press Reports, Linkedin, Twitter, Owler, SimilarWeb
AppStance Info
| Platforms: | - |
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| Types: | - |
| Groups: | App Marketing, App Store Optimization Tools, Apple Search Ads, Growth Marketing, User Acquisition |
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