General
PromptBeginner5 minmarkdown
size_indicators: {employees: 200
revenue: 25_000_000}
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General
PromptBeginner5 minmarkdown
scored.sort(key=lambda x: x.raw_score
reverse=True)
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General
PromptBeginner5 minmarkdown
) -> dict[str
Any]:
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General
PromptBeginner5 minmarkdown
scored = [calculate_priority_score(p
weights) for p in prospects]
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General
PromptBeginner5 minmarkdown
is_followup=prospect.get(relationship
{}).get(is_followup
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General
PromptBeginner5 minmarkdown
timing: {score: timing_score
reason: timing_reason}
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General
PromptBeginner5 minmarkdown
signals: {score: signal_score
reason: signal_reason}
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General
PromptBeginner5 minmarkdown
warmth: {score: warmth_score
reason: warmth_reason}
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General
PromptBeginner5 minmarkdown
deal_size: {score: deal_score
reason: deal_reason}
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General
PromptBeginner5 minmarkdown
raw_score=round(raw_score
2)
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General
PromptBeginner5 minmarkdown
priority_rank=0
# Will be set after sorting
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General
PromptBeginner5 minmarkdown
contact=prospect.get(contact
Unknown)
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General
PromptBeginner5 minmarkdown
call_time=prospect.get(call_time
Unknown)
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General
PromptBeginner5 minmarkdown
company=prospect.get(company
Unknown)
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General
PromptBeginner5 minmarkdown
timing_score
timing_reason = score_timing(prospect)
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General
PromptBeginner5 minmarkdown
warmth_score
warmth_reason = score_warmth(prospect)
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General
PromptBeginner5 minmarkdown
signal_score
signal_reason = score_signals(prospect)
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General
PromptBeginner5 minmarkdown
return normalized
reason
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General
PromptBeginner5 minmarkdown
deal_score
deal_reason = score_deal_size(prospect)
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General
PromptBeginner5 minmarkdown
reason = fSignals: {'
'.join(signal_reasons)} if signal_reasons else No strong signals
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General
PromptBeginner5 minmarkdown
signal_reasons.append(signal.replace(_
))
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General
PromptBeginner5 minmarkdown
signal_score = SIGNAL_SCORES.get(signal
0)
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General
PromptBeginner5 minmarkdown
normalized = min(max(total_score / 2
0)
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General
PromptBeginner5 minmarkdown
return 4.0
Cold outreach
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