Tool to understand customer feedback across all channels
Appbot’s new Custom Data Sources tool allows any organization to automatically analyze the feedback trends of any large body of text feedback. We’ll show trends in sentiment and topics so you can improve faster.Import help desk tickets, social media messages, and over 1000 other data sources via Zapier.
About Appbot on Product Hunt
“Tool to understand customer feedback across all channels”
Appbot launched on Product Hunt on July 17th, 2018 and earned 102 upvotes and 3 comments, placing #7 on the daily leaderboard. Appbot’s new Custom Data Sources tool allows any organization to automatically analyze the feedback trends of any large body of text feedback. We’ll show trends in sentiment and topics so you can improve faster.Import help desk tickets, social media messages, and over 1000 other data sources via Zapier.
On the analytics side, Appbot competes within Messaging, Customer Communication, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Appbot performed against the three products that launched closest to it on the same day.
Who hunted Appbot?
Appbot was hunted by Stuart Hall. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Appbot including community comment highlights and product details, visit the product overview.
Stuart Hall