Conversation analytics for retail and e-commerce
Spiral reads 100% of your customer conversations and reviews to rank the drivers behind returns, silent churn and product friction, so CX and operations teams fix root causes.
Deploy in days. SOC 2 Type II, HIPAA and GDPR ready.
Conversation analytics for retail, explained
Retail and e-commerce feedback lives everywhere: support chats, calls, emails, product reviews and social. Most of it never becomes usable intelligence. Spiral reads all of it together, groups it into specific recurring issues, and surfaces the root cause behind each one. That gives CX, operations and product leaders a ranked, evidence-backed view of what drives returns, silent churn and avoidable contacts across the whole shopping journey.
What retail leaders get from Spiral
Insight that spans support conversations and product reviews in one view.
Reduce return rates
Rank the issues driving returns, including description and sizing gaps, with the root cause attached.
Detect silent churn
Surface the friction and dissatisfaction signals connected to customers quietly leaving.
Find product friction
Read reviews and support together to spot product issues, bugs and unmet needs early.
Catch emerging issues
Detect growing problems across channels before they show up in dashboards or return volume.
Ask in plain language
Ask which issues drive returns or complaints this month and get ranked answers with evidence.
One source of truth
Give CX, operations and product the same decision-grade view across every channel.
Retail is one vertical Spiral serves. Explore the full customer intelligence platform.
See conversation analytics on your own retail data
Start a free proof of concept and let Spiral rank the return, churn and product-friction drivers in your conversations and reviews.
Frequently Asked Questions
Get instant answers to common questions about our Voice AI solutions
Conversation analytics for retail and e-commerce analyzes 100% of customer conversations and reviews to surface return drivers, silent-churn signals, product friction and avoidable contacts, so CX and operations teams act on root causes.
Spiral reads support conversations and product reviews together, then ranks the issues driving returns, including description or sizing gaps, with the root cause attached, so teams fix the cause.
Yes. Spiral surfaces the emerging dissatisfaction and friction signals connected to silent churn across channels, so teams can intervene before customers quietly stop buying.
Calls, chats, emails, surveys, app-store and web reviews, and social, analyzed together, so the picture reflects the whole shopping journey.
Spiral connects to existing systems and can be set up in days when no custom integration is needed. A free proof of concept shows value on your own data first.