Analyze the call data in this sheet and return ONLY a valid JSON object. No explanation, no markdown, no code fences. Just raw JSON starting with { and ending with }. Use exactly this structure: { "date": "YYYY-MM-DD", "calls_made": number, "not_called": number, "showed_interest": number, "not_interested": number, "no_pickup": number, "pickup_rate_pct": number, "interest_rate_pct": number, "trades": [ { "name": "trade name", "called": number, "interested": number, "not_interested": number, "no_pickup": number } ], "objections": [ { "text": "short description of objection", "count": number, "example": "one real quote or paraphrase from notes" } ], "followups": [ { "business": "business name", "trade": "trade", "phone": "phone number or empty string", "heat": "hot or warm", "notes": "key note from call" } ], "priorities": [ "Priority 1 as a plain sentence", "Priority 2 as a plain sentence", "Priority 3 as a plain sentence" ], "session_notes": "2-3 sentence plain English summary of today" } Rules: - calls_made = count of rows where Call Status is NOT "Not Called" (Showed Intrest + Not Interested + No Pickup only) - not_called = count of rows where Call Status is "Not Called" - interest_rate_pct = showed_interest / calls_made * 100, rounded to 1 decimal - pickup_rate_pct = (showed_interest + not_interested) / calls_made * 100, rounded to 1 decimal - Only include leads in followups where Call Status is "Showed Intrest" - Objections come from the Notes column of Not Interested rows — group similar ones - Priorities must be specific and actionable, not generic - All numbers must be integers except the two _pct fields - Return nothing except the JSON object Copy