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Description
NumberHill is an innovative web analytics solution that incorporates revenue attribution seamlessly. This platform connects online traffic to transactions processed through payment gateways like Stripe, LemonSqueezy, Polar, Shopify, and Dodo Payments, allowing users to see the actual revenue generated by each marketing channel, webpage, and campaign based on revenue per visitor rather than merely tracking bounce rates. A single script is utilized to capture each visit along with its source and UTM parameters, ensuring that the visitor ID is included in your checkout metadata; the payment webhook then correlates sales back to the original visit, thus attributing revenue to the proper channel, including refunds. Key features encompass revenue per visitor analysis segmented by channel with options for first-touch and assisted credit, differentiation between paid and organic traffic sourced from identifiers like gclid and msclkid, AI insights revealing visitor behavior and revenue derived from sources like ChatGPT, Perplexity, Claude, and Gemini, alongside robust bot filtering that excludes 49 identified AI crawlers and scrapers from the analytics. Additionally, NumberHill offers a real-time feed of visitors, tools for funnels, goal tracking, and retention, as well as webhook automation capabilities, supporting both cookie-based and cookieless tracking methods, and facilitating easy agency client handovers. With subscription plans starting at just $9 per month and a 14-day free trial available, it provides an accessible entry point for businesses seeking to enhance their marketing effectiveness.
Description
ShieldLabs specializes in detecting and preventing fraud while also evaluating traffic quality through sophisticated scoring methods. It effectively combats issues such as multi-accounting, account sharing, account takeovers, fake signups, and ad fraud.
By employing a single JavaScript snippet, it gathers over 100 distinct device and network signals during every visit, allowing for comprehensive cross-verification that reveals sophisticated masking techniques and achieves an impressive detection accuracy of up to 99%. Returning users are identified seamlessly, even when using cleared cookies, incognito browsing, or different IP addresses, while linked users can be tracked across multiple accounts and devices.
Various elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents are all categorized as specific signals instead of being reduced to a simple binary flag. Each visitor, user, device, and IP is assigned a unique risk score, and predefined patterns address common fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, with traffic quality evaluated based on its source, channel, and campaign.
Integrating the solution takes just five minutes and includes client and server SDKs, a public API, and signed webhooks, making it accessible for businesses looking to enhance their security measures rapidly. As a result, organizations can swiftly implement robust defenses against fraud while maintaining a seamless user experience.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$9/month
Free Trial
Yes
Free Version
No
Pricing Details
$79/month
Free Trial
No
Free Version
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NumberHill
Founded
2026
Website
numberhill.com
Vendor Details
Company Name
ShieldLabs Inc
Founded
2025
Country
United States
Website
shieldlabs.ai/
Product Features
Web Analytics
Campaign Management
No
Conversion Tracking
No
Form Analytics
No
Goal Tracking
No
Keyword Tracking
No
Multiple Site Management
No
Pageview Tracking
No
Referral Source Tracking
No
Site Search Tracking
No
Time on Site Tracking
No
User Interaction Tracking
No
Product Features
Fraud Detection
Access Security Management
Yes
Check Fraud Monitoring
Yes
Custom Fraud Parameters
Yes
For Banking
No
For Crypto
Yes
For Insurance Industry
No
For eCommerce
Yes
Internal Fraud Monitoring
No
Investigator Notes
No
Pattern Recognition
Yes
Transaction Approval
No