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Export sequence performance data for deeper analysis

7 min read


You can export detailed sequence performance data from your Revenue Grid environment into CSV files for use in your business intelligence (BI) tools. This allows you to have full visibility into engagement performance over time.

The export process is fully automated and securely delivers data to Azure Blob Storage, where it is accessible via a shared access signature (SAS) URL.

This article explains how the export works and how to access the exported files.


How the export process works

The export feature provides a reliable, automated way to access sequence performance data for reporting and analysis. Once enabled for your account, the system begins collecting data from the Sequence database and delivering it in CSV format to your secure Azure Blob Storage folder.

Daily data export

Every day at 5:00 a.m. UTC, the system gathers all available data from the start of the current month up to the time of export. For example, on December 25, the system collects data from December 1 at 00:00:00 through December 25 at 05:00:00 UTC, the time the report is generated.

Each daily export creates a full month-to-date CSV file, which is saved to your dedicated storage folder.

Once the file is uploaded, it is never modified. This ensures that the file’s “last modified” timestamp always reflects the export date and can be used to identify the most complete version.

On the first day of each new month, the system runs an additional export to generate a complete file for the previous month. This ensures that events recorded late on the final day of the month are included.


File naming and folder structure

Each exported file follows the format: customer_{guid}.csv .

  • For example: contoso_123456a7-b89c-123d-45ef-g6789h0i123j.csv.

Files are stored in folders based on the reporting period, using the format: YYYYMM01–YYYYMMDD.

  • For example, exports for December 2025 are stored in the folder 20251201–20251231.

Each monthly folder contains one CSV file for each day of the month, showing the cumulative data from the 1st up to that day.

  • For example:
20251101-20251130/
  contoso_{guid-for-day1-only}.csv
  contoso_{guid-for-days1-2}.csv
  ...
  contoso_{guid-for-days1-30}.csv

20251201-20251231/
  contoso_{guid-for-day1-only}.csv
  ...
  contoso_{guid-for-days1-31}.csv

This structure ensures that each daily file reflects a complete snapshot of the sequence data up to that point. As a result, you only need to select the most recently modified file from each folder to retrieve the latest data for that month.


Data security and access control

You will receive a secure, read-only SAS URL that allows access to your storage folder. This link can be used for manual downloads (via tools like Azure Storage Explorer) or automated access through supported BI tools.

The SAS URL is sent securely to your team using Bitwarden Send, a one-time, encrypted sharing method that ensures the link is not exposed through unsecured channels.

Security measures in place

  • Read-only access: SAS URLs allow only read and list permissions. Write, update, and delete actions are blocked.
  • HTTPS-only: All access is restricted to HTTPS connections.
  • Data isolation: Each customer’s data is stored in a dedicated folder, accessible only via their unique SAS URL.
  • No public access: Blob storage is configured to block public access by default.
  • Access duration: SAS URLs are valid five years from the creation date.

Note

If your organization requires regular SAS URL rotation or has specific security requirements, contact your Customer Success Manager to coordinate a custom setup.


Data retention

Exported files are retained for three years. After that, they are automatically deleted according to the retention policy configured in your storage container.


Exported data

The exported CSV file contains raw, structured data from multiple parts of the engagement workflow. It includes campaign details, step activity, contact information, email and call records, and more—providing a complete dataset suitable for deep analysis in BI tools.

Exported CSV field reference

Note: The table below reflects the export format as of June 10, 2025. We may add new fields in the future, but the format will stay compatible, so it doesn’t break your import setup. When new fields are added, we’ll clearly indicate the date from which they are available.

Field name Field description Value example
Campaign_IdUnique identifier of the sequenceb7bac9c8-3835-4456-872c-f559f2f98e29
Campaign_NameName of the sequenceTesting many clicks and opens
Campaign_CrmCampaignIdID of the connected Salesforce campaign (if applicable)
Campaign_CreatedOnDate and time the sequence was created2025-05-27T15:42:19.5158656
Campaign_CreatorEmailEmail address of the user who created the sequence[email protected]
Campaign_SharingModeSharing mode of the sequence (e.g., private, shared)shared
Campaign_StatusCurrent status of the sequencerunning
Campaign_PriorityPriority assigned to the sequencenormal
Campaign_TagsTags assigned to the sequence
Campaign_ClickedContactsCountNumber of contacts who clicked at least one link in the sequence1
Campaign_RepliedContactsCountNumber of contacts who replied to the sequence0
Campaign_SucceededContactsCountNumber of contacts who reached a successful outcome in the sequence0
CampaignStep_IdUnique identifier of the step within the sequence3b7cb8a7-7f38-4884-9bbc-dad063af604d
CampaignStep_TypeType of sequence step (e.g., mail, call, misc.)mail
CampaignStep_NameName or subject of the stepStep 1 – Email (Automated)
CampaignStep_OrderOrder number of the step in the sequence1
CampaignStepSchedule_IdIdentifier of the schedule used for this step5d1731ca-98cb-4f3c-931f-449a356ad5c7
CampaignStepSchedule_NameName of the schedule assigned to this stepNew schedule 24/7 ON
CampaignStepSchedule_ExcludeHolidaysIndicates whether holidays are excluded from the scheduleFALSE
CampaignStepSchedule_PeriodsWeekly schedule windows when the step is allowed to executeMon–Sat [00:00 - 23:59]
CampaignStepTemplate_IdID of the step template used5d1731ca-98cb-4f3c-931f-449a356ad5c7
CampaignStepTemplate_NameName of the step templateThanks for joining the webinar
Contact_IdUnique identifier of the contact6994f98e-0cda-4c12-a173-0c509c4f401a
Contact_EmailContact’s email address[email protected]
Contact_FullNameFull name of the contact[email protected]
Contact_CompanyNameCompany name associated with the contactACME Inc.
Contact_OwnerEmailEmail of the user who owns the contact[email protected]
Contact_SourceTypeSource system the contact came fromsalesforce
Contact_SourceKeyExternal ID of the contact from the source system0030q00000VRzcoAAD
Contact_InternalStatusInternal system status of the contactunresponsive
Contact_TagsTags assigned to the contact
Contact_CreatedOnDate and time the contact was added to the system2023-11-22T09:43:34.2358944
CampaignContact_CreatedOnDate the contact was enrolled in the sequence2025-05-27T15:43:46.8029217
CampaignContact_StateCurrent execution state of the contact in the sequencefailed
CampaignContact_StatusStatus of the contact within the sequenceunresponsive
CampaignContact_CreatorEmailEmail of the user who added the contact to the sequence[email protected]
CampaignContact_TimeZoneTime zone used for scheduling steps for this contact(UTC-06:00) Central Time (Chicago)
CampaignContact_StatusChangedOnLast date and time the contact’s status changed in the sequence2025-06-10T15:46:18.0830375
CampaignContactStep_PlannedStartDateScheduled start time of the sequence step for this contact2025-05-27T15:44:31.2701832
CampaignContactStep_StatusStatus of the step execution for this contactactionsucceeded
CampaignContactStep_UserStatusUser-defined status of the step for this contactfailed
CampaignContactStep_CompletedDateCompletion date and time of the step for this contact2025-05-27T15:45:13.2740639
CampaignContactStep_ExecuteOnBehalfOfUser who executed the step on behalf of someone else (if applicable)[email protected]
CampaignContactStepActivity_TypeType of activity recorded for the step (e.g., emailOpen, linkClick)emailOpen
CampaignContactStepActivity_RecordedOnDate and time when the activity was recorded2025-05-27T10:55:36
Mail_TypeType of email communicationoutbound
Mail_ClassClass of the messageordinary
Mail_ReceivedOrSentOnTimestamp when the email was sent or received2025-05-27T15:45:02
Mail_SubjectSubject line of the email messageHow to test many clicks and opens?
Mail_SenderEmail address of the sender[email protected]
Mail_RecipientsToPrimary recipients of the email[email protected]
Mail_RecipientsCcCC recipients of the email
Sms_TypeType of SMS communication
Sms_StatusDelivery or read status of the SMS
Call_ProviderTypeCall provider used
Call_ContactPhoneNumberPhone number of the contact
Call_UserPhoneNumberUser’s phone number used in the call
Call_DirectionDirection of the call (inbound or outbound)
Call_StatusCall outcome or status (e.g., answered, missed)
Call_StartedOnStart time of the call
Call_EndedOnEnd time of the call


How to access and use the exported data

You will receive a secure SAS URL that provides read-only access to your exported data in Azure Blob Storage. You can download files manually using Azure Storage Explorer or connect directly to the storage from your BI tool.

Please select your preferred access method below to follow step-by-step instructions: one for manual download and one for connecting through Power BI.

To download files using Azure Storage Explorer:

  1. Download and install Azure Storage Explorer.
  2. Open the app and select the plug icon to open the Connect dialog.

  3. Select Blob container or directory.

  4. Select Shared access signature URL (SAS), then click Next.

  5. Paste the full SAS URL provided to you and select Next, then Connect.

  6. In the left pane, browse to your dedicated folder, then open the folder for the reporting period you need (e.g., 20251201–20251231).

  7. Identify the most recently modified file in the folder and select it.

  8. Click the Download button in the top toolbar.

  9. Choose a local folder on your device to save the file, then select Select Folder to start the download.

Once downloaded, you can open the CSV file or import it into your BI tool for analysis.

To connect directly to your exported data in Power BI Desktop:

  1. Download and install Power BI Desktop, then open it.
  2. On the Home tab, select Get Data.

  3. In the Get Data window, select Azure Blob Storage, then click Connect.

  4. In the Azure Blob Storage dialog, paste the container URL without the SAS token (everything before the ? in your SAS URL, for example: https://yourstorageaccount.blob.core.windows.net/yourcontainer) and click OK.

    Note

    Power BI does not support full SAS URLs in the “Web” connector. You must split the SAS URL into two parts: the base container URL and the SAS token string.

  5. When prompted for authentication:

    • Choose SAS.
    • Paste the SAS token string (everything after the ? in your SAS URL).
    • Click Connect.

    Power BI displays a table containing all accessible files in the container, with metadata such as file name, folder path, and last modified date.

  6. Click Transform Data to open the file list in Power Query Editor.

  7. In Power Query:

    • Filter by folder path or file name to narrow down to the folder you want (for example, 20251201–20251231).
    • Sort by the Date modified column and keep only the most recent file.
    • If analyzing multiple months, select one file per folder and use Append Queries to combine them into a single dataset.
  8. When you’re done, click Close & Apply to import the data into Power BI.

Your selected file(s) are now available as a dataset, ready for reporting, filtering, or visualization.


Request access to the export feature

The sequence data export feature is available upon request. To enable it for your organization, contact your Customer Success Manager or Revenue Grid Support.

After your request is approved, our team will:

  • Provision secure storage for your tenant.
  • Configure export automation.
  • Send your SAS URL securely via Bitwarden Send.

Summary

The sequence data export feature provides secure, automated access to raw engagement data for use in reporting and analytics. Files are exported daily, organized by month, and stored in Azure Blob Storage with long-term retention and strict access controls.

You can access the data manually or connect directly through your BI tools, such as Power BI. To enable this feature, contact your Customer Success Manager or Revenue Grid Support. Once set up, you can immediately begin analyzing your sequence data with your preferred tools.