ConvoYield — Conversational Yield Optimization Engine

"Every conversation is a financial instrument. ConvoYield tells you what it's worth."

What It Does

ConvoYield gives any bot a real-time revenue intelligence layer. On every user message, five engines run in parallel and produce:

• Sentiment Arbitrage — Detects emotional gaps that create revenue opportunities (frustration capture, competitor displacement, excitement amplification, etc.)
• Micro-Conversion Tracking — Finds 12 types of hidden value in every message (email captures, budget reveals, pain points, referral signals, etc.)
• Momentum Scoring — Measures whether the conversation is gaining or losing steam
• Yield Forecasting — Predicts the total dollar value of the conversation in real-time
• Play Calling — Recommends from a 20-play behavioral economics playbook (anchoring, loss framing, social proof, empathy bridges, urgency closes, etc.)

Zero Cost Guarantee

• Zero external dependencies — Pure Python standard library
• Zero API calls — All analysis runs locally via pattern matching and heuristics
• Zero tokens consumed — Does not call any LLM API
• Zero infrastructure — pip install and go
• <1ms per message — Adds no latency to your bot

Quick Start

from convoyield import ConvoYield

engine = ConvoYield(base_conversation_value=50.0)

# Process each user message
result = engine.process_user_message("I'm frustrated with Salesforce, it's way too expensive")

print(result.recommended_play)       # "competitor_displacement"
print(result.estimated_yield)         # 89.50
print(result.recommended_tone)        # "empathetic"
print(result.top_arbitrage.type)      # "frustration_capture"
print(result.risk_level)              # 0.21

# Record bot response for full state tracking
engine.record_bot_response("I hear you. What specifically isn't working?")

# Next message — yield COMPOUNDS
result = engine.process_user_message("The reporting is terrible and costs $500/month")
print(result.estimated_yield)         # 142.30 — value is growing!

The Five Engines

1. Sentiment Arbitrage Engine

Detects 7 arbitrage patterns via lexicon-based sentiment scoring tuned for commercial conversations:

2.