Analysis of conversation content — contact reasons, unanswered questions, dissatisfaction signals — turned into a working improvement list.
Every day your Assistant handles hundreds of exchanges. Volumes and conversion rates tell you how much.
They don't tell you what about. Contact reasons are usually assumed rather than measured — and the assumption is often wrong.
Cleed.ai groups conversations by topic automatically, so you see what genuinely drives volume, in what proportion, and how it moves from week to week.
Contact reasons, ranked and tracked
Automatic topic grouping, week over week.
What actually drives volume, not what you assume does.
Sharpen your product pages and content
Real shopper questions, grouped by product and by theme.
Precisely what to add to a description, and where.
Spot product opportunities
Recurring requests for something you don't yet carry are demand you can act on — in your assortment as much as in your merchandising.
Conversations Insights turns those exchanges into a prioritised action list: which pages to enrich, which themes to cover, and which unmet demand is worth a decision.
No manual tagging. Topics are identified from content, and new ones surface as they appear.
Results are available in the Admin platform and exportable, so they can feed your existing reporting rather than sitting in a separate tool.
Analysis runs on aggregated content. Personal data is excluded from reporting, in line with GDPR.
Your conversations already hold what analytics can't show:
Why a visitor hesitated, in their own words
What they wanted that you don't yet offer
Here is what changes with conversation analysis: