

Apptentive, which has transitioned to Alchemer Mobile, is a feedback platform for mobile applications. It provides tools for gathering user insights and managing workflows across various communication channels.
The software is designed for mobile-app product managers, customer experience teams, and market researchers. It supports the collection of feedback and helps teams close the loop with customers and employees.
Capabilities include AI Sentiment Analysis and AI Review Signals, as well as integrations with common business communication tools. Buyers should note that the tool is now part of the Alchemer ecosystem, which includes Alchemer Survey and Alchemer Workflow.
Prospective users should confirm how the mobile-specific features integrate with their internal communication stacks and whether the workflow functionality meets their specific reporting needs.
Tools to collect feedback from users within mobile applications.
Uses AI to analyze the emotional tone of customer feedback.
AI-driven insights derived from user reviews.
Supports the movement of feedback through communication channels to help close the loop with users.
Capability to deploy surveys across various communication channels.
Collecting feedback from users while they interact with a mobile app.
Managing the process of receiving, analyzing, and responding to customer and employee feedback.
Using AI to monitor user sentiment and review signals.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Apptentive is now Alchemer Mobile, following an acquisition by Alchemer LLC.
It is designed for mobile-app product managers, customer experience teams, and market researchers.
Yes, the platform includes AI Sentiment Analysis and AI Review Signals to help analyze user feedback.
Source category: Customer Support
Source subcategory: Survey & Feedback
Apptentive (now Alchemer Mobile) is a mobile feedback platform for product managers and CX teams. It supports in-app surveys and uses AI for sentiment analysis and review signals.