The voice of the customer, in numbers
The answers are already in your chat logs; most teams do not have time to read thousands of them. This use case is for operators who want a weekly, honest picture of demand signals: confusion on PDPs, feature requests, competitor comparisons, and drop-offs—so product, site, and growth stop debating from anecdotes.
Pair insights with the products dashboard, analytics, and ROI: understanding why revenue moved is as important as the fact that it moved. Aurevia gives you a structured view of the conversation side of the business.
Faster product cycles
Ship copy and FAQ updates where real questions cluster.
Smarter A/B tests
Test the assistant and the site on evidence, not internal opinions only.
Shared vocabulary
Marketing and CX use the same intent labels when they plan launches.
What you get
Intent and friction maps
See the repeat themes that SEO and analytics never spell out in shoppers’ own words.
Win/loss and journey views
Know where conversations die without a sale so you can fix the next barrier.
Tie to business outcomes
Layer revenue signals so strategy picks the levers with money attached.
Action meetings, not slide decks
Export a short list of fixes: PDP bullet, new bundle, policy clarifier, prompt tweak.
How it works
Start collecting with purpose
Tag labels that match how you run the business, not a generic taxonomy.
Review weekly with owners
Assign a top friction to product, a top confusion to copy, a top return driver to operations.
Measure the fix
Re-run the same read after a change to prove impact, not pat yourself on the back for shipping.
See it in action
Swap in: dashboard crop with trend lines or top-questions list
Use the analytics mock: four KPIs + a chart block—enough to feel like a real weekly review still.
FAQ
We already have heatmaps. Why this?
Heatmaps show where people click, not what they still do not understand. Conversations capture the doubt behind the click.
Is this for executives or ICs?
Both: executives get a strategy summary; ICs get the list of what to change this sprint.
How much analyst time is required?
The point is the opposite: less manual transcript reading, more pre-clustered signal.
Ready to see it on your store?
Install from the Shopify App Store and go live in minutes.