Payments analytics merchants can explore themselves
Payment platforms compete on insight as much as rails. QueryPanel embeds tenant-safe payment dashboards so merchants track auth rates, declines, and settlement without waiting on your data team.
Product preview
Desktop and mobile inside your app
Mocked browser and phone frames show how QueryPanel looks embedded—AI answers and charts scoped to each customer tenant.
Auth rate
93.8%
-0.4%
Volume
$2.1M
+6%
Disputes
0.42%
flat
Authorization rate (7d)
AI assistant
“Why did my authorization rate drop yesterday?”
Auth rate fell to 91.2% (−2.4 pts). Visa soft declines spiked after 18:00 UTC; issuer 4147 accounted for 31% of failures.
Payments pulse
Auth & settlement on mobile
Auth rate
93.8%
Volume
$2.1M
Authorization rate (7d)
Ask
Why did my authorization rate drop yesterday?
Best fit
PSPs, payment gateways, and vertical SaaS with payment volumes.
Core KPIs
Authorization rate, decline reasons, settlement lag, and dispute ratio.
Differentiator
AI assistant so merchants dig into declines without opening a ticket.
Short answer
Merchant-facing payments analytics without a custom BI build
Payments analytics for SaaS means embedding authorization, settlement, and dispute reporting inside the merchant portal. QueryPanel ships a headful React workspace so each merchant explores their own payment data with AI-assisted charts.
- Per-merchant JWT tenancy from your payments backend.
- Train gold SQL for decline-reason and settlement definitions.
- Optional headless path when you already own the portal UI.
Monetization
Turn reporting into a paid product tier
Advanced payment analytics is a natural upsell. Package AI Q&A and customizable boards as a Pro plan instead of absorbing endless CSV export requests.
More solutions
FAQ
What is embedded payments analytics?
It is merchant-facing payment KPI reporting—authorization, declines, settlement, disputes—rendered inside your product with multi-tenant isolation.
Can merchants ask why declines spiked?
Yes. QueryPanel’s AI assistant generates tenant-scoped SQL and charts from natural-language questions about payment performance.
Which databases are supported?
PostgreSQL, ClickHouse, BigQuery, and MySQL are commonly used for payment event stores and aggregates.