Category: Analytics/Attribution
Ask customers why, in the moment, and let AI read the answers.
Survicate runs customer surveys across the places a customer already is: on your website or in your product as a targeted widget, by email or link, and in a mobile app. Targeting is behavioural, so you can ask a question after someone completes onboarding, abandons a flow or visits pricing three times, which is how you get an answer about something specific rather than a general satisfaction score. It covers the standard frameworks, NPS, CSAT, CES and product-market fit, alongside custom questions with skip logic. The AI layer is the current reason to look: it reads open-text responses at scale, clusters them into themes, scores sentiment and writes up the recurring findings, which removes the job of hand-coding several hundred free-text answers. Results push into HubSpot, Intercom, Salesforce, Slack and analytics tools so feedback attaches to the customer record.
The useful half of the analytics stack that most teams skip. You can see what happened in GA4; Survicate is how you find out why, and asking at the right moment in the journey is what separates a usable answer from a vanity score. The AI theming is the feature that changes the economics, because open-text responses contain the real insight and nobody reads 400 of them by hand. Pushing results into the CRM means feedback sits against a customer rather than in a separate report. Points to weigh: response rates are always modest, so you need enough traffic or users for the data to mean something, in-product surveys are a small tax on user experience so use them sparingly, and the AI summary is a starting point you should spot-check against the raw responses. Free tier is enough to run your first survey.
Best for: Marketing and product teams who want to know why their numbers moved, and who have more open-text feedback than anyone has time to read.
Pricing: Free, then from around $99/mo (Freemium)
Rating: 4.5/5