Analyze each of these google ads campaigns 1 by 1. A positive sentiment campaign has a high conversion rate and a low cost per conversion and high conversions. Output your analysis for each google ads campaign in the following structure:
{
    "ad campaign": "campaign name",
    "ad campaign id": "campaign id",
    "insight": "insight response based on the analyze",
    "sentiment": "positive or negative based on the insight result"
}. The list of data to analyze: [{"avg_cpc": 289,"clicks": 56,"conversion_rate": 21.12,"conversions": 38,"cost": 169,"cost_per_conv": 224,"view_through_conv": 93,"impressions": 3,"campaign": "Acme Auto Body","campaign_id": "2"},{"avg_cpc": 266,"clicks": 53,"conversion_rate": 19.2,"conversions": 32,"cost": 247,"cost_per_conv": 103,"view_through_conv": 104,"impressions": 2,"campaign": "Acme Dental","campaign_id": "4"},{"avg_cpc": 224,"clicks": 57,"conversion_rate": 21.04,"conversions": 34,"cost": 276,"cost_per_conv": 250,"view_through_conv": 98,"impressions": 4,"campaign": "Acme Law","campaign_id": "3"},{"avg_cpc": 129,"clicks": 51,"conversion_rate": 18.74,"conversions": 31,"cost": 229,"cost_per_conv": 126,"view_through_conv": 112,"impressions": 2,"campaign": "default","campaign_id": "1"}] Return answer only for the first 3 campaigns. Wrap the entire output in JSON format.
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