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What is WebTrafficWatch?

WebTrafficWatch is an efficient analytics platform that directly connects to your Google Analytics 4 and Search Console data, delivering automatic weekly insights without requiring any manual effort. Once linked, it continuously tracks key metrics, such as users, sessions, conversions, events, clicks, impressions, click-through rates, and rankings. Each week, it utilizes a customized linear model to analyze your historical data, comparing the previous week’s performance against expected outcomes to uncover significant variances and highlight important trends. The analytical engine also accounts for differences between weekdays and weekends, refining the analysis by excluding anomalies, such as unexpected viral surges, to provide a clearer view of your fundamental performance. Reports generated are written in simple, accessible language to ensure clarity for all team members, while also including in-depth technical information like regression equations, R² values, and confidence intervals for users with a stronger analytical focus. This dual reporting strategy effectively caters to both casual users and data analysts, making it an invaluable resource for any team aiming to enhance their digital performance. Furthermore, WebTrafficWatch's ability to streamline the data interpretation process fosters a deeper understanding of your metrics across various expertise levels.

What is LotusEye?

LotusEye provides a cloud-based solution for detecting anomalies through AI, automatically learning typical behavior from numerical or sensor data uploaded in CSV format, while continuously generating anomaly scores to pinpoint irregularities that may indicate faults or unexpected events, all without requiring users to possess machine learning knowledge. The platform supports both wide-format CSV files, where each row represents sensor readings at distinct timestamps, and long-format CSV files that contain columns for timestamps, sensor names, and values. Users can easily upload their data using an intuitive drag-and-drop interface or through an API that facilitates automated processing on a predetermined schedule. After training an AI model with data from standard operations, users can submit test data to receive calculated anomaly scores and visualize the outcomes on dashboards equipped with time-series charts, threshold indicators, and filtering capabilities. This functionality aids teams in quickly recognizing unusual patterns and investigating potential issues, ultimately boosting operational efficiency. By transforming raw data into actionable insights, the platform empowers organizations to make informed decisions based on real-time analytics.

Media

Media

Integrations Supported

Google Analytics
Google Search Console
Google Sheets
Microsoft Excel

Integrations Supported

Google Analytics
Google Search Console
Google Sheets
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

$29 per month
Free Trial Offered?
Free Version

Pricing Information

$13 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

WebTrafficWatch

Company Location

Austria

Company Website

webtrafficwatch.com

Company Facts

Organization Name

LotusEye

Company Location

Japan

Company Website

lotuseye.co.jp/

Categories and Features

Web Analytics

Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking

Categories and Features

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