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Description
Apphud serves as an optimal solution for integrating, measuring, and enhancing in-app purchases, such as subscriptions, in both iOS and Android applications. Designed for top mobile developers, marketers, and product managers, Apphud offers a robust subscription framework along with comprehensive real-time mobile analytics, an effective pricing A/B testing platform, and a toolbox aimed at boosting app revenue, minimizing churn, and providing valuable customer insights. The platform includes ready-made infrastructure to cater to various types of in-app purchases, enabling users to integrate the Apphud SDK with just two lines of code. Compatible with both iOS and Android, Apphud ensures that if a user subscribes on an Android device, they will continue to enjoy access to premium features on an iPhone. You can easily retrieve user subscription statuses and provide access to premium functionalities when necessary. Furthermore, Apphud allows for the analysis of 21 built-in metrics, such as MRR, ARPU, churn, and conversion rates, which empowers developers to make informed, data-driven choices. Additionally, data can be segmented based on user acquisition channels, geographical location, custom attributes, and much more, making it an indispensable tool for app growth and user retention strategies.
Description
Deep.BI empowers enterprises in sectors such as Media, Insurance, E-commerce, and Banking to boost their revenues by predicting distinct user behaviors and automating processes that convert these users into paying customers while ensuring their retention. This predictive customer data platform features a real-time user scoring system supported by Deep.BI's advanced enterprise data warehouse. By utilizing this technology, digital businesses and platforms can enhance their offerings, content, and distribution strategies. The platform gathers comprehensive data regarding product utilization and content engagement, delivering immediate, actionable insights. These insights are produced within moments via the Deep.Conveyor data pipeline and can be analyzed using the Deep.Explorer business intelligence platform, which is further enhanced by the Deep.Score event scoring engine that employs tailored AI algorithms specific to your requirements. Additionally, the insights are primed for automation through the high-speed API and AI model serving capabilities of Deep.Conductor, ensuring rapid and efficient implementation. Ultimately, Deep.BI provides a holistic approach to understanding and optimizing user interactions across various digital platforms.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Cassandra
Apache Druid
Apache Flink
Apache Kafka
Apache Spark
Docker
Git
GitHub
GitLab
Integrations
Amazon Web Services (AWS)
Apache Cassandra
Apache Druid
Apache Flink
Apache Kafka
Apache Spark
Docker
Git
GitHub
GitLab
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Apphud
Country
United States
Website
apphud.com
Vendor Details
Company Name
Deep BI
Founded
2015
Country
United States
Website
www.deep.bi/
Product Features
Subscription Management
Cancellation Management
Discount / Coupon Management
Dunning Management
Enrollment Management
Product Catalog
Recurring Billing
Revenue Recognition
Revenue Recovery Tools
Self Service Portal
Subscription Plan Management
Tax Management
Trial Management
Usage Tracking/Analytics
Product Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics