General
PromptBeginner5 minmarkdown
signals = prospect.get(signals
[])
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117,718 skills indexed with the new KISS metadata standard.
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General
PromptBeginner5 minmarkdown
signal_reasons.append(signal.replace(_
))
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General
PromptBeginner5 minmarkdown
def score_signals(prospect: dict) -> tuple[float
str]:
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General
PromptBeginner5 minmarkdown
return 4.0
Cold outreach
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General
PromptBeginner5 minmarkdown
return 7.0
Inbound interest
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General
PromptBeginner5 minmarkdown
return 6.0
f{relationship['mutual_connections']} mutual connections
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General
PromptBeginner5 minmarkdown
return 8.0
Referred lead
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General
PromptBeginner5 minmarkdown
if relationship.get(mutual_connections
0) > 0:
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General
PromptBeginner5 minmarkdown
return 5.0
Follow-up (needs re-engagement)
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General
PromptBeginner5 minmarkdown
return 9.0
Warm follow-up (positive last contact)
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General
PromptBeginner5 minmarkdown
return 7.0
Follow-up (neutral last contact)
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General
PromptBeginner5 minmarkdown
def score_warmth(prospect: dict) -> tuple[float
str]:
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General
PromptBeginner5 minmarkdown
relationship = prospect.get(relationship
{})
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General
PromptBeginner5 minmarkdown
last_outcome = relationship.get(last_outcome
neutral)
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General
PromptBeginner5 minmarkdown
return min(score
10.0)
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General
PromptBeginner5 minmarkdown
def score_timing(prospect: dict) -> tuple[float
str]:
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General
PromptBeginner5 minmarkdown
timing_signals = prospect.get(timing_signals
[])
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General
PromptBeginner5 minmarkdown
return 7.0
Mid-market opportunity
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General
PromptBeginner5 minmarkdown
return 5.0
SMB opportunity
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General
PromptBeginner5 minmarkdown
return 10.0
Enterprise-scale opportunity
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General
PromptBeginner5 minmarkdown
revenue_estimate = size_indicators.get(revenue
0)
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General
PromptBeginner5 minmarkdown
employee_count = size_indicators.get(employees
0)
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General
PromptBeginner5 minmarkdown
def score_deal_size(prospect: dict) -> tuple[float
str]:
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General
PromptBeginner5 minmarkdown
size_indicators = prospect.get(size_indicators
{})
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