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Description
WHAT IS HYPERAKTIV:
Hyperaktiv serves as a growth companion for SaaS companies, designed to enhance user activation, conversion, and retention.
WHY HYPERAKTIV WAS CREATED:
The inception of Hyperaktiv stemmed from the challenges faced by numerous SaaS businesses in deriving meaningful insights from user data, as existing analytics platforms tend to be overly complex and often necessitate advanced expertise, which complicates data interpretation and application for teams.
HOW CAN YOU BENEFIT BY USING IT:
1. Our process begins with a thorough analysis of your user data.
2. We will then categorize your users according to your Ideal Customer Profile, their engagement levels, and their stage in the customer lifecycle.
3. Following this, we will craft and present you with tailored marketing strategies aimed at your specific user segments.
4. As a result, you will be empowered to successfully engage new users, transition free users to paying customers, and enhance overall customer retention, leading to sustainable growth for your business.
5. By utilizing Hyperaktiv, you can streamline your marketing efforts and make data-driven decisions that align with your organizational goals.
Description
Rakam offers tailored reporting capabilities for various teams, ensuring that no group is confined to a single interface. It seamlessly converts the inquiries made in its user interface into SQL queries, simplifying the process for end-users. Importantly, Rakam does not transfer any data into your data warehouse; rather, it operates under the assumption that all necessary data is already stored within, allowing for analysis directly from the data warehouse, your definitive source of truth. For further insights on this subject, check out our blog post. Rakam also integrates with dbt core, serving as the data modeling layer but does not execute your dbt transformations. Instead, it connects to your GIT repository to automatically synchronize your dbt models. Additionally, Rakam can generate incremental dbt models, enhancing query performance and minimizing database costs. By defining aggregates in your dbt resource files, Rakam automatically creates roll-up models, simplifying the process for end-users while ensuring efficient data handling. This streamlined approach empowers teams to focus on insights rather than the technical intricacies of data analysis.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Segment
Amazon Redshift
Amplitude
ClickHouse
Firebase
Google Analytics
Google Analytics 360
Google Cloud BigQuery
Mixpanel
MySQL
Integrations
Segment
Amazon Redshift
Amplitude
ClickHouse
Firebase
Google Analytics
Google Analytics 360
Google Cloud BigQuery
Mixpanel
MySQL
Pricing Details
$49/ Up to 5k MAU
Free Trial
Free Version
Pricing Details
$25 per user per month
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
Hyperaktiv
Founded
2023
Country
Germany
Website
www.hyperaktiv.ai/
Vendor Details
Company Name
Rakam
Founded
2016
Country
United States
Website
rakam.io
Product Features
Product Analytics
Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation
Product Features
Product Analytics
Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation