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ODDO BHF ACTIVE ETF
Efficaces par nature,
actifs par conviction
ODDO BHF Active ETF — Investor Pitch
Asset Management · Distribution · Q3 2026
47
Total views
87%
Avg. read depth
14s
Video drop-off
12
Questions
2 min
Last activity
67%
Completion
Total contacts
8
High intent
3
Avg. read depth
53%
Chat interactions
3
AI-generated actions based on engagement
Follow-upCall these 4 prospects before they go cold.
Four contacts hit Deep Read stage but stopped at page 19. These are your warmest leads right now.
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What your readers experience, and what comes back to you.
For your readers
The reading experience
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- Editable script and pacing
Smart highlights
Key passages surfaced so nothing critical gets missed.
Critical points and risk notices get visual emphasis automatically, so readers see what matters most even when they skim.
- Auto-detected critical passages
- Side annotations with context
- Customisable by you or your team
In-document AI assistant
Readers ask questions, grounded only in the document.
Readers ask anything inside the document. The AI answers from your content only. No hallucinations, no off-topic responses.
- Answers grounded only in your document
- Page citations on every response
- Every question logged for you
Multi-language reading
The same document, in the reader's language.
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Your brand, end to end
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The intelligence layer
AI question log
What readers didn't understand. Verbatim.
Every question your readers asked the AI, captured and grouped. The objections that never made it to your inbox, now visible.
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- Linked to the page that triggered them
- The defensible signal nobody else has
Section heatmaps
Where attention held. Where it dropped.
Engagement broken down section by section. See where readers slowed down, sped through, or jumped back to re-read.
- Engagement breakdown per page
- Time spent in each section
- Drop-off and re-engagement points
Per-recipient profiles
See exactly what each reader did.
A full reading profile for every contact: what they read, what they asked, when they engaged, where they dropped off.
- Individual reader timelines
- Question history per person
- Engagement and intent scoring
Real-time alerts
Know the moment a key reader engages.
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- In-app, email, or Slack
- Per-document trigger rules
- Priority filtering by recipient
Next-move suggestions
Who to call, what to fix, what's working.
Engagement signals become specific next moves: which prospects are warmest, which sections to rewrite, what's resonating.
- Prioritised by reader warmth
- One-click follow-up actions
- Document fixes from drop-off data
Export and API
Pipe the signals into your CRM or BI stack.
All your signals where you work. Push reader profiles, question logs, and engagement data into Salesforce, HubSpot, or your BI stack.
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