Analityka Użycia Kredytów
Śledź, jak wykorzystywane są kredyty generowania AI: per członek zespołu, per kategoria produktu, per typ generowania. Optymalizuj wydatki i identyfikuj marnotrawne wzorce.
Credit Analytics
Funkcje
Usage Breakdown
See credits consumed: by team member, by product category, by generation type (description, meta, bullets, keywords). Identify top spenders.
Efficiency Metrics
Credits per product, regeneration rate (how often content is re-generated), first-pass quality score. Measure generation efficiency.
Budget Forecasting
Based on current usage patterns, AI forecasts when you'll run out of credits. "At current pace, credits last until April 15."
Waste Detection
AI identifies wasteful patterns: excessive regenerations, low-quality first drafts requiring rework, unused generated content.
Jak to działa
View Analytics
Credit usage analytics available from your dashboard.
Identify Patterns
See who uses most credits, which categories cost most, and where waste occurs.
Optimize
Adjust workflows, rulesets, and templates to reduce credit waste.
Przykład
Credit Analytics
Input
Last 30 days credit usage for a team of 5
Output
Credit Usage Analytics — Last 30 Days: 💰 Total Credits Used: 2,340 of 5,000 Burn Rate: 78/day Forecast: Empty by May 12 👥 By Team Member: Sarah: 680 credits (29%) — 6.2 credits/product Mike: 520 credits (22%) — 5.8 credits/product Lisa: 480 credits (21%) — 4.9 credits/product ⭐ Most efficient Tom: 400 credits (17%) Anna: 260 credits (11%) 📊 By Generation Type: Descriptions: 1,200 (51%) Meta tags: 500 (21%) Bullet points: 340 (15%) Keywords: 300 (13%) ⚠️ Waste Detected: — 180 credits on regenerations (3+ attempts) — Suggestion: Improve rulesets to reduce rework
FAQ
What counts as credit waste?
Regenerating the same product 3+ times, generating content that gets rejected, or generating fields that aren't needed. AI identifies these patterns.
Does it forecast credit depletion?
Yes. Based on rolling 7-day usage patterns, AI predicts exactly when your credits will run out and suggests when to purchase more.