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Average Ratings 0 Ratings

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ease
features
design
support

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Description

We explored the methods and strategies for tracking products, empowering you to gain insights into your users just like leading companies do. Recognize the organizations driving the metrics. Instead of focusing on arbitrary IDs, delve into detailed company profiles. Utilize our hassle-free report to assess, refine, and take pride in your features. Analyze how many users or businesses engage with, embrace, and revisit your features to confirm their effectiveness. Gather insights on your features from the most relevant individuals. Engage with those who enjoyed your feature, as well as those who tried it once and did not return. Why doesn’t your team acknowledge the significance of reaching initial milestones like 5, 50, and 500 users? Our reports highlight achievements that your team can celebrate. Evaluate your launches against other features within your product. Gain a comprehensive understanding of adoption and usage trends in relation to the overall performance of your product. This approach not only reinforces your strategy but also fosters a culture of recognition within your team.

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

Screenshots View All

Integrations

Segment
Amazon Redshift
ClickHouse
Firebase
Google Analytics
Google Analytics 360
Google Cloud BigQuery
JavaScript
Kameleoon
MySQL
Nucla
PostgreSQL
Presto
Python
Ruby
RudderStack
SQL Server
Snowflake
Snowplow Analytics
Tenjin

Integrations

Segment
Amazon Redshift
ClickHouse
Firebase
Google Analytics
Google Analytics 360
Google Cloud BigQuery
JavaScript
Kameleoon
MySQL
Nucla
PostgreSQL
Presto
Python
Ruby
RudderStack
SQL Server
Snowflake
Snowplow Analytics
Tenjin

Pricing Details

$149 per month
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

June

Founded

2021

Country

United States

Website

www.june.so/

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

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