How teams use AI analytics.
1
Marketing Strategy
Discover the specific terminology your actual users use, and update your landing page copy to match.
2
Product Roadmap
See the top feature requests users are asking the bot about and prioritize your engineering sprints.
3
Content Creation
Instantly know which FAQ articles or blog posts you need to write to answer common queries.
Knowledge Management
The self-improving website.
The analytics dashboard doesn't just show data; it shows action items. When the AI detects a question it can't answer, it creates a task for you to add that information.
- Auto-generated task lists for missing content
- One-click knowledge base updating
- Trending question alerts
Knowledge Management
Auto-generated task lists for missing content
One-click knowledge base updating
Trending question alerts
ROI Tracking
Prove the value of every chat.
Connect the analytics dashboard to your CRM to track closed-won revenue back to the specific AI conversation that initiated the lead.
- Attribution modeling
- Pipeline generated metrics
- Cost-per-lead reduction tracking
ROI Tracking
Attribution modeling
Pipeline generated metrics
Cost-per-lead reduction tracking
40%
Decrease in bounce rate
“
By looking at what users were asking the bot and adding that info directly to our hero section, we decreased our landing page bounce rate by 40%.
Tim R.
CMO at DataStream