What is Insight7?
Insight7 is designed specifically for B2B companies, offering an advanced solution to aggregate, analyze, and activate customer feedback efficiently, driving increased revenue and customer retention. The platform enables product teams to analyze customer interviews at scale, prioritize what to build next based on customer signals, and identify the unique product needs of various customer accounts and segments.
By connecting channels like Gong, Hubspot, Gmail, & Slack, Insight7 delivers critical product insights. It allows product builders, leaders, and revenue operations to accelerate product discovery, scale revenue and retention, and turn customer signals into growth by understanding win/loss, churn, and upsell opportunities.
Insight7’s secure by design architecture includes 256-bit AES and 256-bit SSL/TLS encryption, penetration tests by security experts, and complies with SOC 2 Type II and GDPR.
Features
- Customer Interview Analysis: Record, transcribe, and analyze interviews at scale.
- Product Decision Prioritization: Make decisions based on customer attributes and signals.
- Feedback Segmentation: Segment feedback using attributes like revenue, industry, and size.
Use Cases
- Streamlining product discovery processes
- Enhancing revenue growth and customer retention
FAQs
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What is Insight7?
Insight7 is an AI-powered platform that helps optimize product development and customer retention by analyzing and activating customer feedback for B2B companies. -
What are the key features of Insight7?
Key features include customer interview analysis, product decision prioritization based on customer signals, and feedback segmentation using attributes like revenue, industry, and size. -
How does Insight7 benefit product teams?
Insight7 benefits product teams by allowing them to analyze customer interviews at scale, prioritize next steps, and identify unique product needs across customer segments, ultimately driving revenue growth and customer retention.
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Insight7 Uptime Monitor
Average Uptime
78.97%
Average Response Time
1816.87 ms
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