CLIP Similarity in Roboflow when Email Opened in GMass
Infer Instance Segmentation using Roboflow when Email Opened in GMass
Infer Object Detection using Roboflow when Email Opened in GMass
Infer Classification using Roboflow when Email Opened in GMass
CLIP Similarity in Roboflow when Email Clicked in GMass
Infer Instance Segmentation using Roboflow when Email Clicked in GMass
Infer Object Detection using Roboflow when Email Clicked in GMass
Infer Classification using Roboflow when Email Clicked in GMass
CLIP Similarity in Roboflow when Email Bounced in Gmass
Infer Instance Segmentation using Roboflow when Email Bounced in Gmass
Triggers when an email is opened.
Triggers when a link in an email is clicked.
Triggers when an email bounces.
Triggers when an email that is sent as part of a campaign receives a reply.
Triggers when an individual email is sent as part of a campaign. This is not the trigger for transactional emails.
Triggers when an email address is unsubscribed from your GMass account.
Adds an email address to your account's unsubscribe list. This will prevent your account from sending any campaigns to this address.
Stops a campaign from sending to a particular email address. This is different from "Add Unsubscribe" because this is like unsubscribing an address just for a particular campaign rather than account-wide.
Sends a single transactional email.
Computes the similarity between a subject and a prompt or list of prompts.
Runs an image through a Roboflow Instance Segmentation model to create predictions.
Creates detections using an object detection inference model
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viaSocket helps you integrate multiple platforms in one place, that ultimately helps you in expanding your business.
GMass is a powerful email marketing tool that integrates with Gmail to enable users to send mass emails, create email campaigns, and track their performance. It is designed to help businesses and individuals streamline their email marketing efforts directly from their Gmail account.
Learn MoreRoboflow is a platform designed to streamline the process of building, training, and deploying computer vision models. It provides tools for managing datasets, annotating images, and integrating machine learning models into applications, making it easier for developers and data scientists to work with visual data.
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