Community Monitoring Insights

Reddit discussions are gold mines for product teams. Learn how to monitor Reddit effectively and discover the patterns most companies miss.

Understanding the difference between basic keyword alerts and AI-powered sentiment analysis, and what actionable insights actually look like.

The reality of unmonitored brand mentions, where discussions happen across 17 platforms, and how to set up comprehensive tracking.

Identifying purchase-intent signals in Reddit discussions, adding value before pitching, and building a lead scoring system for community mentions.

Reddit discussions are gold mines for product teams. Learn how to monitor Reddit effectively and discover the patterns most companies miss.

Understanding the difference between basic keyword alerts and AI-powered sentiment analysis, and what actionable insights actually look like.

The reality of unmonitored brand mentions, where discussions happen across 17 platforms, and how to set up comprehensive tracking.

Identifying purchase-intent signals in Reddit discussions, adding value before pitching, and building a lead scoring system for community mentions.

Why Hacker News matters for SaaS, how discussions there differ from Reddit, and effective monitoring strategies for technical audiences.

How AI identifies frustration patterns in community discussions and helps you turn complaints into product roadmap items.

Finding negative mentions fast, response frameworks that work, and proven strategies for turning detractors into fans.

Why competitor mentions matter, what customer complaints about competitors reveal, and how to act on competitive insights.

Understanding the major review platforms, setting up multi-platform monitoring, and turning review data into business intelligence.

How lead scoring works for community mentions, identifying high-intent signals, and prioritizing outreach for maximum conversion.

Why single-platform monitoring misses the full picture, how conversations fragment across platforms, and the benefits of unified monitoring.

What happened with GummySearch, lessons about platform dependency, how to choose a sustainable alternative, and migration tips.

What share of voice means in community monitoring, how to measure it effectively, and how to use SOV data for strategic decisions.

The limitations of keyword-only monitoring and how AI categorization by intent, topic, and sentiment transforms data into decisions.

Challenges small teams face with reputation management, automated monitoring as a force multiplier, and practical response strategies.

A systematic approach to mining community feedback about competitors and turning their weaknesses into your competitive advantages.

The community-led growth framework, measuring ROI of community monitoring, and converting mentions into pipeline.

Announcing Kaulby's AI reply suggestion feature: how it works, what responses look like, and best practices for AI-assisted community engagement.

Announcing 4 new platform integrations bringing Kaulby to 16 total platforms. What each platform offers and how to get started.

How Kaulby's alert system works, configuring digests and instant alerts, and best practices for alert management across teams.