Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Linkrunner serves as a comprehensive mobile attribution platform that monitors the entire user experience from the moment an advertisement is clicked until in-app revenue is generated, covering channels like Meta, Google, TikTok, and Apple Search Ads. Designed for app teams handling anywhere from 20,000 to over 400,000 installations each month, it consolidates both attribution and deep linking functionalities into a single software development kit (SDK), eliminating the need for multiple tools to analyze marketing campaigns and guide users to specific in-app destinations.
Among its standout features are dashboards that provide creative-level return on ad spend (ROAS) insights, automated revenue updates sent to advertising networks, fraud detection mechanisms, SKAN 4.0 setup, and advanced AI-driven anomaly identification. The SDK can be seamlessly integrated within just 2 to 4 hours for various platforms including React Native, Flutter, iOS, and Android.
Its pricing model is transparent and based on usage: the first 25,000 attributed installs are free, followed by a cost that ranges from $0.012 to $0.007 per installation, with no restrictions on seats, export fees, or feature limitations. As a result, teams often experience savings of 60-80% when compared to traditional mobile measurement partners such as AppsFlyer, Adjust, or Branch.
Linkrunner is trusted by over 100 mobile applications across multiple industries, including direct-to-consumer (D2C), gaming, fintech, and ecommerce, highlighting its versatility and effectiveness in enhancing mobile marketing efforts.
Description
Skan, a cognitive technology startup, is revolutionizing business process discovery. It empowers large enterprises to discover, untangle and unleash their business processes. Skan's offering helps to define the future work by optimizing intelligent automation and digital transformation. Skan's unique approach combines computer vision, deeplearning & machine intelligence to observe and learn, assemble, optimize, and optimize business processes without integration or intrusion. It is easy to model, simulate, measure, and evaluate the future state of the sandbox using the output as a process metamodel and digital process twins. Skan's founding team consists of entrepreneurs, technologists and data scientists, all experts in complex business and IT landscapes. Skan's origins are rooted in the practical experience our founders gained while working on automation projects and transformation projects for Fortune 500 businesses.
API Access
Has API
No
API Access
Has API
No
Integrations
Amplitude
Yes
Apple Search Ads
Yes
Braze
Yes
CleverTap
Yes
Facebook Ads
Yes
Google Ads
Yes
Google Analytics
Yes
Meta Ads
Yes
Mixpanel
Yes
MoEngage
Yes
Integrations
Amplitude
No
Apple Search Ads
No
Braze
No
CleverTap
No
Facebook Ads
No
Google Ads
No
Google Analytics
No
Meta Ads
No
Mixpanel
No
MoEngage
No
Pricing Details
$0.01/install
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Linkrunner
Founded
2025
Country
India
Website
www.linkrunner.io
Vendor Details
Company Name
Skan
Founded
2018
Country
United States
Website
skan.ai
Product Features
Marketing Attribution
Attribution Modeling
No
Audience Segmentation
No
Conversion Tracking
No
Cross-Channel Attribution
No
Customer Journey Mapping
No
Multi-Touch Attribution
No
Predictive Analytics
No
ROI Tracking
No
Product Features
Machine Learning
Deep Learning
Yes
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
Yes
Predictive Modeling
Yes
Statistical / Mathematical Tools
No
Templates
No
Visualization
Yes