ReplyToAppReviews is a simple review management tool for working with app store reviews. It enables you to engage and delight your users with personalized AI-powered responses. Increase your app’s ratings and customer satisfaction effortlessly.
Reply to App/Game reviews using AI
ReplyToAppReviews is a simple review management tool for working with app store reviews. It enables you to engage and delight your users with personalized AI-powered responses. Increase your app’s ratings and customer satisfaction effortlessly.
A while back, I noticed that the number of reviews and their responses were directly influencing my game's ranking on the Google Play Store. I decided to invest time in responding to each review thoughtfully, addressing concerns, and thanking users for their feedback. Here’s what happened: - 🌟 Improved Ratings: Many users updated their reviews with higher ratings after seeing that I took their feedback seriously and responded promptly. - 🤝 Better User Engagement: Users appreciated the personal t
Hey Deepak, this is great and really useful for people who publishes Apps. Wanted to know if this is legal under app store policies or Apple will remove my app from the store?
Love the stuff! A well-formatted response saves time. Can review responses be created in the source language? A user may write in French and respond in French.
Congrats on the launch! I was the founder of the LarnU app, where we received more than 3,000 written reviews. It was quite painful to respond to each review uniquely while also adding relevant keywords to the answers... Your solution would certainly add significant value if that task could be automated and performed well. Unfortunately, we had to close LarnU, so I can't try it out. :( Best wishes!!
Fantastic launch! This tool fills a crucial gap for app developers. The cost-effectiveness is a big plus for indie devs. Are there any integrations planned with other customer support tools or CRM systems to streamline the review management process even further? @dpakmenon
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.