PHPMem v2.0.1

Version
1.6.45
Uptime
7 days 12 hours 6 minutes 2 seconds

Memory

Total
512MB
Used
13,32MB (2.6%)
Free
498,68MB

Keys

Current
10 162
Total (since start)
11 092
Evictions
0
Reclaimed
157
Expired Unfetched
0
Evicted Unfetched
0

Connections

Current
3 / 1 024 max
Total
67 541
Rejected
0
llm:265f124525385996753fca1d5b7fdc61a4b5ededd74a7fff6a0f6e5bc7f78292
TTL 4 days 5 minutes 22 seconds Size 1,52KB Export
Edit
{
    "action": "tool_call",
    "reasoning": "I've found several patterns in the evidence: Won deals have 100% value assignment, Lost deals have 0 value, and there's a stark difference in win rates between deals under $1K (42.9%) vs $1K+ (100%). This last finding is extremely counterintuitive - it suggests that EVERY single deal valued at $1K or above wins, while smaller deals have less than 50% win rate. This is the opposite of typical sales dynamics where larger deals are harder to close. Let me verify this pattern is real by examining the actual distribution of won vs lost deals across value ranges to confirm this isn't a data artifact.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CASE WHEN close_value IS NULL THEN 'NULL' WHEN close_value = 0 THEN '$0' WHEN close_value < 1000 THEN 'Under $1K' WHEN close_value < 2000 THEN '$1K-$2K' WHEN close_value < 5000 THEN '$2K-$5K' WHEN close_value < 10000 THEN '$5K-$10K' ELSE '$10K+' END AS value_bucket, deal_stage, COUNT(*) as deal_count FROM raw.b2b_sales_funnel_pipeline GROUP BY value_bucket, deal_stage ORDER BY CASE value_bucket WHEN 'NULL' THEN 0 WHEN '$0' THEN 1 WHEN 'Under $1K' THEN 2 WHEN '$1K-$2K' THEN 3 WHEN '$2K-$5K' THEN 4 WHEN '$5K-$10K' THEN 5 ELSE 6 END, deal_stage",
        "purpose": "Cross-tabulate deal stage by value bucket to verify the 100% win rate pattern for deals $1K+ and understand the distribution of Lost/Engaging/Prospecting deals",
        "source": "raw"
    }
}