Call analysis

Every conversation transcribed, scored and mined for intent, objections and next best action.

Calls analysed

1128+18%

Rolling 30 days

Avg duration

5m 25s

All languages

Positive sentiment

38%+7%

Aiera Sense

Quality score

63+4%

Coaching baseline

Recent calls

Transcript — Rohit Kulkarni

Aiera Support · Feasibility scheduled

PositiveScore 52Opex per KLFootprint
  • CustomerHi, I saw your ETP — can you tell me more?
  • AgentAbsolutely. I can walk you through ETP for Gujarat. What matters most to you?
  • CustomerMainly opex per kl.
  • AgentUnderstood. Here's how we handle opex per kl, and I can share details on WhatsApp right away.
  • CustomerThat works, please send it across.

Summary

Rohit Kulkarni from Gujarat asked about ETP — tender clarification. Agent handled opex per kl and captured requirement details.

Next best action

Trigger WhatsApp nurture

Objection frequency

Across analysed calls

  • Capex10
  • Opex per KL7
  • Footprint9
  • Pollution-board timeline7
  • Reference sites10

Coaching cues

Auto-generated for the sales floor

  • Capex drives 35% of drop-offs

    Conversations mentioning "capex" convert 37% lower unless the agent responds with a proof point in the first 40 seconds.

    212 calls analysed this month

  • Opex per KL drives 13% of drop-offs

    Conversations mentioning "opex per kl" convert 18% lower unless the agent responds with a proof point in the first 40 seconds.

    313 calls analysed this month

  • Footprint drives 21% of drop-offs

    Conversations mentioning "footprint" convert 23% lower unless the agent responds with a proof point in the first 40 seconds.

    288 calls analysed this month

  • Pollution-board timeline drives 27% of drop-offs

    Conversations mentioning "pollution-board timeline" convert 35% lower unless the agent responds with a proof point in the first 40 seconds.

    170 calls analysed this month