Matomo Analytics Report

This workflow automatically retrieves all order data by calling Squarespace's Commerce API and accurately synchronizes it to Google Sheets. Users can set filtering criteria such as query time range and order status to achieve personalized data synchronization, supporting both manual triggers and scheduled tasks for real-time order information updates. This process simplifies the order data export procedure, prevents data omissions, and enhances the data management efficiency of the e-commerce operations team, facilitating subsequent analysis and decision-making.

This workflow automates the collection and reporting of Google Analytics data, covering dimensions such as website page engagement, search performance, and country visit data. By comparing this week's data with last week's, users can quickly gain insights into traffic changes and user behavior trends, enhancing the efficiency of data-driven decision-making. The final report is sent in a formatted HTML email, making it concise and intuitive, easy to share and archive, and suitable for users such as marketing teams, data analysts, and corporate management.

This workflow can automatically retrieve data from Phantombuster and organize key information such as names, emails, and companies before storing it in an Airtable database. Users only need to manually trigger the execution, which simplifies the data extraction and storage process, enhancing the automation and efficiency of data management. It addresses the cumbersome nature of traditional manual data organization and uploading, improving data accuracy and making it suitable for various scenarios such as market research and recruitment, helping teams efficiently manage external data.

This workflow can automatically read company and contact information from Microsoft Excel and compare and synchronize it with the Salesforce CRM system, ensuring data consistency and accuracy. It features automatic deduplication and the ability to distinguish between new and existing customers, allowing for bulk creation or updating of accounts and contacts. This greatly enhances the efficiency of customer data management and reduces errors caused by manual operations, making it suitable for the sales and marketing teams' customer data import and maintenance.

This workflow automatically captures and processes corporate email by listening to appointment events from Calendly. It utilizes Clearbit to enrich customer and company information and synchronizes this data in real-time with HubSpot CRM. It effectively addresses the tediousness of manual data entry, enhances the quality of sales leads, and ensures the completeness and timeliness of customer information. Suitable for sales and marketing teams, it helps automate the entry of customer data, optimizes customer relationship management, supports precise marketing and decision-making, and improves the efficiency of the business.

This workflow can automatically monitor TRC20 USDT wallets, calling the TronScan API every 15 minutes to retrieve the latest transaction records. It filters out transfers that occurred within the last 15 minutes and formats the transaction details for display. This simplifies the cumbersome process of traditional manual queries, providing real-time transaction information to help users stay informed about fund movements and avoid missing important transactions. This automation tool is suitable for digital asset investors, blockchain developers, and corporate finance teams, enhancing monitoring efficiency and accuracy.

This workflow can automatically monitor price changes of multiple e-commerce products at scheduled intervals, capturing and extracting price information in real-time while supporting simultaneous monitoring of multiple products. The system compares the current price with the historical lowest price and automatically sends email notifications in case of price anomalies or price drops, ensuring that users receive timely alerts for the best purchasing opportunities. Through automation, users do not need to manually refresh web pages, significantly improving monitoring efficiency and data accuracy, making it suitable for e-commerce operators and consumers alike.

This workflow is designed to automate the processing of Excel and CSV files, supporting the loading of files from multiple sources and converting them into JSON format for easier data handling. It allows for custom data processing, such as age calculations, and ultimately generates new Excel files, with the option to save the results locally or in the cloud. This process effectively enhances data processing efficiency, reduces errors from manual operations, and is suitable for scenarios such as enterprise customer management, data analysis preprocessing, and file synchronization.