PHPMem v2.0.1

Version
1.6.45
Uptime
7 days 18 hours 59 minutes 47 seconds

Memory

Total
512MB
Used
8,15MB (1.59%)
Free
503,85MB

Keys

Current
6 252
Total (since start)
11 098
Evictions
0
Reclaimed
299
Expired Unfetched
0
Evicted Unfetched
0

Connections

Current
3 / 1 024 max
Total
72 437
Rejected
0
llm:705f1b9f6f01f11739cce3a0f6b80d48eb7ccfc7c79b84e5361cf02c09dea884
TTL 3 days 17 hours 10 minutes 51 seconds Size 1,19KB Export
Edit
{
    "action": "tool_call",
    "reasoning": "The evidence so far shows standard funnel behavior (Won deals have values, Lost/Engaging/Prospecting don't), but I need to explore deeper patterns that might be counterintuitive. Let me examine win rates and conversion patterns across different dimensions. First, I'll look at whether there are any unusual patterns in deal values - for instance, are there accounts or products with unexpectedly high/low win rates, or time-based anomalies in conversion?",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT account, COUNT(*) as total_deals, SUM(CASE WHEN deal_stage = 'Won' THEN 1 ELSE 0 END) as won_deals, ROUND(100.0 * SUM(CASE WHEN deal_stage = 'Won' THEN 1 ELSE 0 END) / COUNT(*), 1) as win_rate_pct, SUM(CASE WHEN deal_stage = 'Won' THEN close_value ELSE 0 END) as total_won_value FROM raw.b2b_sales_funnel_pipeline GROUP BY account HAVING COUNT(*) >= 50 ORDER BY win_rate_pct DESC LIMIT 20",
        "purpose": "Check if any high-volume accounts have surprisingly extreme win rates (very high or very low) that would be counterintuitive",
        "source": "raw"
    }
}