Deep.BIDeep BI
|
||||||
Related Products
|
||||||
About
Deep.BI enables Media, Insurance, E-commerce and Banking enterprises to effectively increase revenues by anticipating specific user behaviors then automating actions to convert these users to paying customers and retaining them. Predictive customer data platform with real-time user scoring, based on Deep.BI's next-gen, enterprise data warehouse. We help digital businesses and platforms improve their products, content and distribution. Deep.BI's platform collects extensive data about product usage and content consumption and provides real-time, actionable insights. Real-time, actionable insights are generated within seconds through the Deep.Conveyor data pipeline, available for analysis in the Deep.Explorer business intelligence platform, augmented through the Deep.Score event scoring engine built with custom AI algorithms for your use case, and are ready for automation using the Deep.Conductor high-speed API and AI model serving platform.
|
About
It’s so frustrating to hear that a customer is unhappy with your product. Especially when you’re not sure what the problem is! One way to do this is by using Stormly’s User the journey template, which lets you see where people are dropping off inside your product or app. Get to know which of the items converts best. Whether that are webshop items, blog articles, videos, or anything else. The aha-moment is the moment when users finally gain value from an app or website. When you know what this special moment is, you can create a better onboarding experience that will increase user retention and conversion rates. Knowing what user behavior leads to higher retention or conversion is crucial in creating a product with high engagement. Your goal should be to figure out exactly what moment your users get the unique benefit of your app or website; this is called the “aha-moment.” Once you know this, you can optimize your app’s onboarding flow so that more people will become engaged.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Enterprises looking for an AI-powered predictive analytics platform to effectively increase revenues by anticipating specific user behaviors
|
Audience
Professionals in need of a solution to build their dashboard and discover patterns in product data
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
$199 per month
Free Version
Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationDeep BI
Founded: 2015
United States
www.deep.bi/
|
Company InformationStormly
Netherlands
www.stormly.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Apache Druid
Supported
Apache Kafka
Supported
Apache Spark
Supported
Docker
Supported
Elastic
Supported
Git
Supported
GitHub
Supported
GitLab
Supported
Grafana Cloud
Supported
Hadoop
Supported
|
Integrations
Apache Druid
Not Supported
Apache Kafka
Not Supported
Apache Spark
Not Supported
Docker
Not Supported
Elastic
Not Supported
Git
Not Supported
GitHub
Not Supported
GitLab
Not Supported
Grafana Cloud
Not Supported
Hadoop
Not Supported
|
|||||
|
|
|