AppFollow
appfigures
AppTweak
App Radar
Sensor Tower
Appbot
App Annie
AppReviewBot
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Your app's reputation determines success. Apps with 4+ stars capture 80% of market revenue and get conversion rates that make competitors jealous. We built AppFollow as the reputation management platform that turns user feedback into measurable results.
AppFollow filters reviews for app teams who need to improve their product and increase sales. Better feedback management improves app ratings, better ratings boost conversion rates and trust, which then means more downloads and revenue. This loop is your competitive advantage.
Our AI suite does the heavy work: with its help, you can tag feedback by topic, summarize insights across thousands of reviews, translate languages, generate unique responses that sound human, and assist your team with complex cases. Automate routine replies and flag issues that need human attention.
Get the reporting you need. Executive reports deliver full summaries for leadership with granular analytics showing which keywords generate downloads. Reveal how competitors attract your users, identify which marketing channels work best, set up Slack alerts for critical feedback, and optimize the time your team spends on reputation management.
Track ASO performance and organic visibility. Monitor reviews across all app stores. See what drives rankings and conversion rates.
Major companies trust AppFollow to maintain their competitive edge. Easy Brain, Wargaming, Lazada, G5, Gameloft, Indeed, Standard Bank, and Opera rely on our platform. We integrate with App Store Connect, Google Play Console, Trustpilot, and all major app marketplaces, with platforms like Steam joining the list soon. We also connect with your existing tools like Zendesk and Slack.
Turn user feedback into business advantage.
AppFollow PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
AppFollow's answer
AppFollow uniquely combines AI-powered review analysis, reply automation, and app store optimization into one platform. We help mobile-first teams understand user feedback at scale and turn ratings and reviews into a real growth lever โ not just a support task.
AppFollow's answer
AppFollow is built for teams that care about outcomes, not just data. Customers choose us because we:
Save time with smart automation
Reveal product and UX insights hidden in reviews
Help improve ratings faster with data-backed actions
In short: fewer tools, clearer decisions, better ratings.
AppFollow's answer
AppFollow started with a simple problem: mobile teams were drowning in user feedback but couldnโt act on it fast enough. What began as a way to track and respond to app store reviews quickly evolved into a full platform helping teams turn user voice into a competitive advantage.
AppFollow's answer
AppFollow is built using modern cloud infrastructure and scalable web technologies, with a strong focus on AI/ML for text analysis, automation, and secure data processing. The platform is designed to handle large volumes of app store data reliably and in real time.
AppFollow's answer
AppFollow's answer
The platform is built for product managers, growth and ASO marketers, customer experience leaders, and app teams who manage large volumes of user feedback across app stores, regions, and languages. These teams rely on AppFollow to filter signal from noise, identify reputation risks early, and turn user feedback into faster product improvements and measurable business results.
AppFollow is especially valuable for organizations where:
A small change in star rating creates outsized financial impact
Review volume makes manual analysis impossible
Speed matters when bugs, crashes, or UX issues affect ratings
Reputation management must scale without increasing headcount
From fast-growing app publishers to international brands managing apps across dozens of markets, AppFollow serves teams that view reputation management as a growth engine, not a support task.
Based on our record, Plotly seems to be more popular. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
appfigures - Cross-platform app store analytics for all of your mobile apps.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
AppTweak - The most comprehensive ASO & Apple Search Ads platform to optimize your apps' organic and paid performance in the app stores
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
App Radar - We help mobile apps and games achieve success. Use our extensive list of AI-powered app growth tools: App Store Optimization Tool, Ratings and Reviews Management, Apple Search Ads Intelligence. App Analytics and Metrics, and App Market Intelligence.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
