Auto-create and Publish AI Social Videos with Telegram, GPT-4, and Blotato

This workflow allows for manual triggering to quickly batch retrieve marketing data from the Mautic platform, supporting OAuth2 authentication to ensure data security. Users can start it with a simple click, without the need for complex configurations. It is suitable for marketing teams and data analysts, helping them efficiently obtain leads, activities, and contact information, avoiding cumbersome manual exports, and facilitating subsequent data analysis and marketing automation, thereby enhancing work efficiency and decision-making capabilities.

This workflow primarily implements the automatic processing of new orders and customer management for Shopify. It automatically extracts order and customer information, generates invoices, and updates the CRM system. Based on the order amount, it intelligently sends coupons or thank-you emails, while also creating relevant task cards in the task management tool and synchronizing customer tags with the marketing system. The fully automated process significantly improves order processing efficiency, reduces manual operations, and enhances customer experience and marketing accuracy, making it suitable for e-commerce and marketing teams.

This workflow automatically retrieves user data from the "Users" table in Airtable at scheduled intervals and synchronizes it with the Mailchimp subscription list, achieving seamless migration of user information and precise tag management. It addresses the cumbersome issues of manually importing and managing email subscribers, enhancing the efficiency and accuracy of email marketing. This is particularly suitable for marketing teams or businesses that require targeted content delivery based on user interests.

This workflow is an intelligent assistant that can automatically receive voice and text messages in Telegram. For voice messages, it downloads and transcribes them into text, then utilizes AI for topic research and content creation, generating social media copy that meets SEO requirements. At the same time, it can automatically create image generation prompts based on the generated content and produce high-quality visual images. The entire process achieves a fully automated closed loop from message reception, text processing, to content creation and image generation, greatly enhancing the efficiency and quality of content creation.

This workflow enables the quick synchronization of contact information to the ActiveCampaign platform through manual triggers. It automatically determines whether a contact already exists and performs updates, ensuring the timeliness and accuracy of the data. It addresses issues of delayed contact information updates and duplicate entries, enhancing the efficiency of marketing data management. This workflow is suitable for marketers and sales teams, optimizing customer information management and the effectiveness of marketing activities.

This workflow utilizes automation to monitor customer activities on LinkedIn in real-time, such as job changes and new posts, thereby enhancing the efficiency of the sales team's customer relationship management. It integrates data from HubSpot and LinkedIn, automatically updating customer information to Google Sheets, and notifies the sales manager of key developments via email. This ensures the timeliness and accuracy of customer management, reduces the complexities of manual maintenance, and optimizes the quality of customer service.

This workflow helps businesses quickly obtain and enrich decision-maker information for target companies through automated processing. It is triggered from Google Sheets, utilizing the Apollo API to search for company and contact data, and combines it with OpenAI models to intelligently summarize business information. High-quality contact information is then integrated back into the spreadsheet. Additionally, manual review is conducted via Slack to ensure data accuracy, and potential client reports are generated regularly to enhance the efficiency and data quality of marketing and sales teams.

This workflow automatically collects feedback submitted by users through Typeform and utilizes Google Cloud's natural language processing services for sentiment analysis to determine the emotional tone of the feedback. Based on the sentiment score, the system automatically sends the feedback content and score to a designated Mattermost channel for real-time feedback monitoring and team collaboration alerts. This process significantly enhances the efficiency of feedback handling and response speed, helping the team to promptly grasp user satisfaction and potential issues.