BetterFeedback

This is the core of the product. After a customer answers a survey question, an AI agent reads the response and asks a relevant follow-up, much like a skilled interviewer would. You get an explanation instead of a single word. The whole exchange usually finishes in under 90 seconds, which keeps the experience light for buyers.

Standard surveys stop at "TikTok" or "Instagram." BetterFeedback keeps asking, so you learn which video a customer saw, what caught their eye, and what finally convinced them. That level of detail tells you where to put ad budget instead of guessing between channels. Responses get grouped by source so the signal stands out.

When a customer says they hesitated, the AI asks why. You collect concrete objections such as unclear sizing, shipping cost shown late, or doubts about a feature. Each objection comes with a count, so you can see which issues repeat and act before the next buyer walks.

The tool watches for unhappy responses and flags them. You can then reach out to a frustrated customer before they leave a negative review, while happy customers get pointed toward leaving a positive one. It turns satisfaction into something you can act on rather than a number you read too late.

AI Insights groups what customers actually say into top themes, recurring pain points, key takeaways, and sentiment trends. Instead of reading every conversation by hand, you get a structured view, which matters once response volume grows past a handful per day.

BetterFeedback connects to more than 5,000 apps through Zapier, so a new response can add a row in Google Sheets, create a Google Doc, or fire a Slack alert. CSV export is built in. You send insights into the stack you already use, with AI summaries and sentiment attached to each record.