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✅ Authorizations Dashboard

The Authorizations Dashboard is your go-to tool for understanding how well your transactions are being approved, where friction exists, and how performance varies by group (e.g., issuer, card type, PSP).

It offers a full view from high-level KPIs to trend charts to deep pivot-based analysis, giving you everything you need to monitor and optimize your approval strategy.


🧮 KPI Section (Top)

This section gives you a quick performance snapshot across the most important authorization metrics during the last complete month:

KPI

Description

Auth Attempts

The total number of authorization attempts in the selected date range.

Approved Transactions

The total number of successfully authorized transactions in the selected date range.

Approved Sales

The total dollar amount approved across all transactions.

Approval Rate

% of total authorization attempts that were approved.

Average Approval

Average dollar amount per approved transaction.

📌 These KPIs update based on your applied filters and date range.


📈 Charts Tab (Dynamic Charts)

This section helps you explore how authorization metrics trend over time and vary across different dimensions. The charts are fully interactive and dynamically update based on selected groupings.

📊 Chart 1: Approval/Decline Rate Over Time (Line Chart)

  • Y-Axis: Approval Rate/Decline Rate(%)

  • X-Axis: Time (Day, Week, Month, etc.)

  • Grouping: Select from pre-defined fields (e.g., Card Brand, Issuer, PSP)

Use this chart to spot drops in approval rate and investigate by group.

📊 Charts 2 & 3: Count & Amount Comparisons (Stacked Bar)

These charts allow you to analyze volume and value trends by selected groupings using the Type and Measure Controller:

Type Options:

  • Attempts - Auth Attempts

  • Approvals - Approved auths

  • Declines - Declined auths

Measure Options:

  • Count – Total number of selected type

  • Amount – Total $ value of selected type

  • % of Total Count – Share of volume by group

  • % of Total Amount – Share of $ value by group

🧠 Use these to:

  • See how authorization success is distributed across top Acquirers, MIDs, or Card Networks

  • Identify high-volume but low-conversion segments

📌 Use the date granularity and group selectors to fine-tune your comparisons.


📊 Pivot Tab (Dynamic Pivot Tables)

The Pivot section provides granular, table-based views of your authorization data, ideal for power users and ops teams.

🔢 Pivot Table Metrics (Values):

  • Auth Attempts

  • Auth Amount

  • Approved Transactions

  • Approved Sales

  • Approval Rate

  • Average Approval

  • % of Total Declines

  • Decline Rate

  • Declined Sales

  • Declined Transactions

  • Average Decline

  • Verifications Attempted

  • Verifications Approved

  • Verifications Declined

  • Verification Decline Rate

  • Refund Authorization Approved Count

  • Refund Authorization Approved Amount

  • Refund Authorization Approval Rate

  • Refund Authorization Approval Rate Amount

  • Refund Authorization Count

  • Refund Authorization Amount

  • Refund Authorization Declined Count

  • Refund Authorization Declined Amount

🔧 Interactions:

  • Use dropdowns to group by Issuer, BIN, Card Type, Acquirer, etc.

  • Export tables to CSV for deeper reconciliation or reporting

  • Drill into cells to view breakdowns or apply filters

📌 This section is ideal for answering specific operational questions like:

  • “Which issuers have the lowest approval rates?”

  • “Where is the average approval amount significantly higher/lower than average?”

📈 DATA vs. BIN DATA

The DATA and BIN DATA pivots provide different entry points for exploring metrics:

BIN Data

  • DATA

    • Displays all available metrics by default.

    • Metrics are arranged in rows, allowing side-by-side comparison across many values at once.

    • Best for broad exploratory analysis where you want to scan across multiple KPIs.

  • BIN DATA

    • Pre-selects three measures for a more streamlined view.

    • Metrics are arranged in columns, making it easier to compare performance across BINs.

    • Best for focused BIN-level analysis where fewer measures are needed.

👉 Use DATA when you want maximum flexibility and breadth, and use BIN DATA when you want quick BIN-specific comparisons with a simplified layout.


🔍 Filtering Tips

To tailor the Authorizations Dashboard to your needs:

  • Use the Filters button (top right) to set your Date Range or filter by Card Brand, Acquirer, Issuer, and more.

  • Group data by Card or MID to explore trends by strategic segments.

  • Apply Top N to focus on high-volume contributors.

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