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Create integrations between Appcues and Roboflow
CLIP Similarity in Roboflow when New Flow in Appcues
Infer Instance Segmentation using Roboflow when New Flow in Appcues
Infer Object Detection using Roboflow when New Flow in Appcues
Infer Classification using Roboflow when New Flow in Appcues
CLIP Similarity in Roboflow when New Segment in Appcues
Infer Instance Segmentation using Roboflow when New Segment in Appcues
Infer Object Detection using Roboflow when New Segment in Appcues
Infer Classification using Roboflow when New Segment in Appcues
CLIP Similarity in Roboflow when New Checklist in Appcues
Infer Instance Segmentation using Roboflow when New Checklist in Appcues
Actions and Triggers
When this happensTriggers
New Flow
Triggers when a new flow is created.
New Segment
Triggers when a new segment is created.
New Checklist
Triggers when a new checklist is created.
New Banner
Triggers when a new banner is created.
Do thisActions
Update a Segment
Updates a Segment by its ID.
Create Segment
Creates a new segment.
Update a Group Profile
Updates the profile attributes for the selected group.
Update a User Profile
Updates the profile attributes for the selected user.
Send an Event
Sends a user event to Appcues.
CLIP Similarity
Computes the similarity between a subject and a prompt or list of prompts.
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Frequently Asked Questions
About Appcues
Appcues is a powerful user onboarding and product adoption platform offering multi-channel messaging and actionable insights. It integrates in-app experiences, emails, and push notifications, customized to your brand, to create tailored, automated journeys that boost engagement. With no-code user tracking and activity-based triggers, Appcues ensures precise, timely communication. Detailed insights and reporting tools help measure message performance, track trends, and optimize engagement through A/B testing, improving key metrics like activation and retention.
Learn MoreAbout Roboflow
Roboflow 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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