Peerbound
Use-cases
- Exporting Call Recordings Sync Attention calls to Peerbound to enrich proof libraries and enablement content
- Instant Story Creation Spin up publish-ready customer stories from Attention highlights in minutes instead of weeks
- Stage-Based Proof Delivery Trigger Peerbot to drop targeted proof into rep channels whenever Attention logs a new demo, evaluation, or proposal call
- Advocate Identification Combine Attention sentiment and speaker data with Peerbound analytics to uncover hidden champions
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Features
- Call Recording Ingestion Effortlessly transfer Attention calls and transcripts into Peerbound, unlocking rich customer-voice insights.
- AI Proof Detection Peerbound’s models scan every synced call to spot champions, success metrics, and powerful quotes.
- Rule-Based Proof Delivery Configure Peerbot to send context-aware proof to reps in Slack or Teams based on keywords or deal stage coming from Attention.
- Centralized Proof Library Maintain a searchable, permission-controlled repository of approved stories enriched with Attention metadata.
Benefits
- Faster Deal Cycles Reps armed with timely, relevant proof build buyer confidence sooner.
- Higher Content Output Marketing teams publish more customer stories without manual interviews or design iterations.
- Data-Driven Advocacy Always-on AI converts raw conversation data into actionable proof and insights.
- Cross-Team Alignment Sales, CS, and Marketing share a single source of truth for customer stories and quotes.
FAQ
Any questions? We'd love to help
How do I set up the integration between Attention and Peerbound?
Directly call the Peerbound API within Attention's Agent Builder.
What types of data can be synced between Attention and Peerbound?
Call recordings, transcripts, speaker labels, sentiment scores, tags, deal context, and any custom fields captured in Attention can be synced to Peerbound for analysis and asset generation.
Can I customize the data flow between Attention and Peerbound?
Yes. Admins can filter by team, deal stage, call type, or specific keywords, and select which highlights, tags, or metadata Peerbound ingests—keeping your proof library focused, compliant, and relevant.
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