Magic Feedback is an AI platform that centralizes and analyzes customer feedback from over 350 integrations, automating the extraction of actionable insights and sentiment analysis. This technology reduces the time spent on manual data processing by 75%, enabling businesses to make informed decisions based on real-time customer input.
Funding
$1.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MVFounders
Product
Problem
Businesses struggle to efficiently collect, analyze, and act upon customer feedback from disparate sources, leading to missed insights and delayed responses to critical issues. Manual analysis of customer feedback is time-consuming, prone to errors, and often fails to identify underlying trends and sentiments.
Solution
Deepdots provides an AI-powered platform that centralizes customer feedback from over 350 sources, including surveys, reviews, support tickets, and CRM data. The platform employs proprietary AI models to analyze feedback with human-level accuracy, automatically identifying key themes, sentiment, and actionable insights. Deepdots offers AI-driven surveys that adapt questions in real-time based on user responses, generating more detailed and relevant feedback. AI agents proactively monitor feedback, alerting teams to critical issues and generating reports on key performance indicators. The platform integrates with existing business tools, enabling automated email campaigns, data export to platforms like Jira and PowerBI, and proactive reporting.
Target Audience
Deepdots targets customer-centric enterprises seeking to improve customer satisfaction, reduce churn, and drive product development through efficient analysis and action on customer feedback.
Features
- Native integrations with over 350 data sources, including Google Reviews, Trustpilot, app stores, social media, CRM, and support platforms
- Custom integration SDK to connect to internal databases, applications, and spreadsheets
- AI-powered surveys with dynamic follow-up questions based on user responses
- Sentiment analysis to automatically detect customer emotions and identify trends
- AI agents for proactive monitoring of feedback and automated report generation
- Customizable categories and taxonomies for organizing and filtering feedback
- CRM data enrichment to segment feedback by customer demographics, revenue, and other relevant metrics
- API for exporting data to external platforms like Jira, PowerBI, and Tableau
- SOC 2 compliance with Type II certification, data encryption at rest and in transit, and regular security audits