The Spreedly Dashboard offers an interface for you to view, measure, and analyze payment performance across your business. The dashboard provides a wide range of analytics, insights, and lookup capabilities for all transactions flowing through Spreedly.

Accessing the Dashboard

The Dashboard can be accessed directly through dashboard.spreedly.com or by navigating through the dashboard tab on id.spreedly.com.

For more information on managing your account, visit our Account Guide page.

Dashboard Nav Menu

Dashboard Landing Page

The Dashboard landing page provides a quick snapshot of overall payment performance. One can look at transaction trends, key data points and recent transactions on this page.

The following is a snapshot of the data points available on this landing page. Based on the Date and Environment Name filters a user can look at the following data:

  • Gateways: List of all gateways that had transactions
  • Receivers: List of all receivers that had transactions
  • Avg Tkt Size: Avg $ value of all successful Purchase, Capture, PurchaseViaReference, OffsitePurchase transactions on non-test gateways
  • Transactions: Trend of all transactions by count
  • Card Brand: % Split of payment method card brand
  • Currency: % Split of currencies used in transactions
  • Payment Method: % Split of payment method type

Dashboard Nav Menu The following funnel view provides a snapshot of the number of transactions and their US Dollar value.

  • Count: Funnel view of the # of transactions (Authorization, Capture, Purchase, Verification, Credit, Void, Store, GeneralCredit, OffsiteAuthorization and OffsitePurchase) grouped by the transaction state: succeeded, failed, gateway_processing_failed and gateway_processing_result_unknown
  • USD: Funnel view of the USD amount of transactions (Authorization, Capture, Purchase, Verification, Credit, Void, Store, GeneralCredit, OffsiteAuthorization and OffsitePurchase) grouped by the transaction state: succeeded, failed, gateway_processing_failed and gateway_processing_result_unknown




The Succeeded section provides insights into success rates on various dimensions:

  • Payment Method: Success % trend by payment method
  • Card Brand: Success % trend by card brand
  • Gateway: Success % trend by gateway

Success % = (# of Succeeded Purchase, Verification, Authorization, PurchaseViaReference, OffsitePurchase) / (All Purchase, Verification, Authorization, PurchaseViaReference, OffsitePurchase)

(Where transactions are neither test nor on a test gateway)



The Failed section provides insights into failure trends.

  • Transaction Failures: Trend of the # of failed, gateway_processing_failed and gateway_processing_result_unknown transactions
  • Gateway Error Messages: Top 20 most common gateway error messages on failed transactions under the selected Organization



The 3DS2 section provides insights into Spreedly’s 3DS2 Global Solution.

  • SCA Transactions: Trend of SCA Transactions
  • Flow Performed: Trend of Transaction Flow performed ( challenge, frictionless, etc. )
  • SCA Auth Response Codes: Trend of SCA Authentication response codes


Payment Methods

The Payment Methods section provides insights into the customer’s payment method details.

  • Retained Payment Methods: The trend of retained payment methods over time
  • Payment Methods by Card Type and Brand: View the number of payment methods by card type and card brand

Payment Methods


The Transactions section can be used to search for transactions by their token. One can also dig deeper and look at the response and transcript information for each individual transaction.



The Gateways section lists out all the Gateway Types added to Environments under the selected Organization.


Account Updater

If Account Updater is enabled, users will be able to see the results from the latest update runs on this page. To learn more about how to keep your Payment Methods updated, visit the Account Updater page.




This capability enables customers to download transaction data from right within the dashboard. One can filter on the transaction date and then download the data in a variety of formats for offline analysis. The data fields available in this view include date, transaction token, transaction type, transaction state, currency, amount, USD amount, etc. Watch this short demo video to learn more.

StandardStandard Download

Custom Analytics

Customers can now utilize Spreedly’s transaction data model to build their own dashboards and visualizations. Custom Analytics is powered by Looker (a Business Intelligence and Visualization tool) with Spreedly defining the data model. The data model contains the following views that customers can use to run their own analysis:

  • Transactions
  • Gateways
  • Receivers
  • Organizations
  • Accounts
  • Environments
  • Payment Methods

Each of these views contains data fields that can be leveraged to create custom visualizations and charts. Visit the following demo video to learn more how Looker enables this capability.

Here are a few demo videos that go deeper into the various capabilities that are now accessable from within the dashboard:


Deep dive into the data model

Accessing pre-built dashboards

Alerting and Scheduling

Data Explorer

Leverage Spreedly’s Snowflake powered data warehouse to get access to a near real-time stream of transaction data. Once enabled customers will be provided a Snowflake Reader Account that can be used to view and query payment data. All data exposed using this capability uses the customer’s organization id to filter data so customers have access to only their data.

Customers will have the ability to query a SQL view with the following fields:

  • transaction_token
  • transaction_created_time_utc
  • transaction_type
  • transaction_state
  • transaction_message
  • is_test_transaction?
  • attempted_3ds?
  • gateway_token
  • gateway_type
  • receivers_type
  • receivers_key
  • currency_code
  • raw_amount
  • usd_amount
  • order_id
  • payment_method_first_6_digits
  • payment_method_owner_country
  • payment_method_owner_state
  • payment_method_issuing_bank
  • payment_method_issuing_country
  • payment_method_issuing_region

Learn more about how Snowflake enables this capability by reading their documentation here.


Frequently Asked Questions

Q: Can I add my own custom time filters?

Customers may use the date filter to choose various filter options.


Q: How up-to-date is this data ?

The average lag time is around 60 minutes from when a transaction occurs and the data is available for analysis. The lag only applies to the following sections:

  • Account Overiew on the Dashboard home page
  • Funnel view on the Dashboard home page
  • Insights -> Succeeded
  • Insights -> Failed
  • Insights -> 3DS2

All other sections like Transactions, etc are all real time.