Understand your Buyer at a glance
Review Insights
Review Insights is emlen's AI-powered advisor inside your Destinations. It analyses everything happening in your deal room — buyer behaviour, content engagement, and CRM data — and surfaces clear, actionable guidance so you always know what to do next.
Where to Find It
Review Insights is accessible from any Destination. Start by going to the Destinations view and clicking on the name of the Destination you want to review.
The Destinations overview. The Buyer Engagement score is already visible here.
Once inside the Destination, you will see the Summary bar at the top. Click Review insights next to the Engagement Score to open the AI analysis panel.
The Summary bar shows visits, time spent, content views, and the link to Review Insights.
What You Get
The Review Insights panel gives you four things at once.
The full Review Insights panel with Engagement Score, Content Suggestions, and Deal Risks.
Engagement Score (0–100)
A single number that reflects how actively and deeply your buyer is engaging with the Destination — based on visits, content views, time spent, downloads, and chat interactions.
Content Suggestions
AI-recommended content to share next. Each suggestion includes a plain-English explanation of why it fits the buyer's current interests and deal stage, so you always understand the reasoning.
Deal Risks
Specific warnings about signals that could stall or lose the deal — surfaced before they become a problem.
CRM Context
Deal stage, deal size, and linked CRM activities shown alongside engagement data. Link a deal via Add deal link in the panel to unlock this.
How It Works
The AI model analyses six data sources simultaneously:
- CRM deal data — deal amount, current stage, and full stage history.
- Content already shared — everything included in the Destination so far.
- Your content library — the most-engaged content from the last 3 months that hasn't been shared yet. This is the pool for new suggestions.
- Buyer engagement in the room — page views, time on page, downloads, and chat questions.
- CRM activities — calls, meetings, emails, and notes synced from your CRM.
- Past closed deals — won and lost deals used as a benchmark to identify patterns and assess likelihood of winning.
From these inputs, the AI determines what the buyer is interested in, how engaged they are, what risks exist, and how likely the deal is to close.
Content Suggestions — How They Are Chosen
Three factors drive every recommendation:
Buyer Interests
The AI looks at which content and pages the buyer has spent the most time on, and any questions they've asked. If there are topics they're clearly interested in that aren't yet covered by shared content, it will flag that gap.
Deal Stage
Different stages call for different content. Early-stage buyers need education and value-proposition material; later-stage buyers need proof, ROI, or security documentation. The AI knows what questions buyers typically have at each stage and recommends content accordingly.
Past Closed Deals
The AI analyses which content was shared — and at which stage — in previously won deals, and uses those patterns to guide new suggestions.
Deal Risks
Each risk comes with a plain-language explanation of what the signal means. Examples:
- Anonymous buyer No name or email has been captured, making personalised outreach impossible and limiting the ability to tailor the experience.
- No CRM activities logged No calls, emails, or meetings have been recorded — the seller has not yet made contact beyond creating the room.
- Deal stuck in the same stage No stage progression since creation, suggesting no qualification has occurred yet.
- Long gap before first visit A large gap between room creation and the buyer's first visit may indicate low urgency, or that the link was only recently forwarded to the right person.
- No meeting booked Without the buyer identifying themselves or booking a meeting, the deal could stall even with high content engagement.