Anecdote

Uncover actionable insights from customer feedback across multiple sources, including reviews, messages, and social media, to inform data-driven product development and decision-making.
Customer Feedback Analytics Natural Language Processing Sentiment Analysis

Anecdote is a customer feedback analytics platform that offers real-time insights to help businesses deliver better customer experiences. It lets teams track and analyze customer feedback from multiple sources, including App Store reviews, support messages, surveys and social media, to spot bugs, sentiment trends and areas for improvement.

Anecdote's proprietary Natural Language Processing Engine offers high accuracy in clustering customer feedback, providing actionable insights that inform data-driven product development and customer-centric decision-making. The platform integrates with more than 65 feedback sources, including Slack, to provide a single view of customer interactions.

Some of the key features of Anecdote include:

  • Bug Analysis: Pinpoint bugs in customer feedback to prioritize fixes.
  • Automated AI Tagging: Categorize feedback into relevant themes using machine learning models.
  • Customizable Alerts: Get real-time notifications for key feedback insights through Slack or email.
  • Semantic Search: Quickly find specific feedback across all sources.
  • Survey Analysis & Q&A: Analyze NPS, CSAT and survey responses to understand customer sentiment.
  • Competitor Analysis: Analyze public feedback from competitors to identify market gaps.

Anecdote offers a variety of pricing plans to accommodate different needs:

  • Free Plan: Connects three data sources with basic features like bug analysis and AI summarization.
  • Starter Plan ($499/mo): Supports 5,000 data points, custom dashboards, API access and priority customer support.
  • Business Plan: Custom pricing for unlimited data points, virtual user researcher and other advanced features.

With Anecdote, businesses can lower churn (1.8%), support tickets (17%) and bug resolution time (47%), while saving time spent on ticket tagging (5 days/month). Its polyglot abilities enable analysis in multiple languages, making it a great solution for global customer-centric teams.

Published on June 14, 2024

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