What Is Call Analytics and Why SMBs Need It in 2025

Parlona Blog

What Is Call Analytics and Why SMBs Need It in 2025

February 3, 2025

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Most small and medium businesses rely heavily on phone calls β€” for sales, customer support, and daily operations. Yet 90% of phone conversations are never analyzed, meaning companies miss out on customer insights, lost leads, and service-quality problems.

This is where call analytics comes in.


πŸ“˜ What Is Call Analytics?

Call analytics is the process of capturing, transcribing, analyzing, and understanding phone conversations to improve business performance.

It typically includes:

  • Call recording
  • Speech-to-text transcription
  • AI-generated call summaries
  • Sentiment analysis
  • Intent detection
  • Keyword spotting
  • Agent performance scoring

Modern solutions (like Parlona) go further by offering real-time AI suggestions and AI receptionist capabilities.


πŸ’‘ Why Call Analytics Matters for SMBs

1. Increase Sales Conversion

Transcripts and analytics help identify:

  • Objections
  • Missed opportunities
  • Cold vs. hot leads
  • Common customer questions

This enables SMBs to optimize sales scripts and train employees.

2. Improve Customer Experience

Call analytics reveals:

  • Tone of voice
  • Negative moments
  • Slow responses
  • Repeated problems

SMBs can fix customer pain points before losing clients.

3. Reduce Manual Work With AI Summaries

Instead of writing notes manually, AI can instantly produce:

  • Conversation summary
  • Key action items
  • Next steps
  • Customer sentiment

This saves hours each week.

4. Improve Call Quality

Transcription allows you to spot:

  • Poor audio
  • Wrong routing
  • Long wait times
  • Repeating questions

A data-driven approach improves your entire communication flow.


πŸ›  Technical Example: How Call Analytics Works With Asterisk

Here’s a typical pipeline:

  1. Asterisk records the call (WAV/OPUS)
  2. Audio is streamed to STT engine (Whisper, Google, Deepgram)
  3. Transcription is stored in Supabase
  4. AI generates summaries + sentiment
  5. Dashboard shows call insights

This is exactly the architecture used in Parlona.


πŸ“ˆ SMB Success Stories

Typical results after enabling call analytics:

  • +25–40% increase in lead conversions
  • +20% reduction in missed calls
  • +30% improvement in customer satisfaction
  • Significant time saved on manual notes and CRM updates

πŸš€ Want to Get Started?

Next steps:

  • How to Enable Call Recording in Asterisk
  • How to Build a Real-Time STT Pipeline
  • What Is an AI Receptionist and How It Works

More posts coming soon.


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