Troubleshooting Flow with Sprout Social Data Events
Table of Contents
If you've customized the Inbound Sprout Social Data Flow template and messages aren't being processed correctly in Salesforce, you can use Salesforce Flow Builder's debug tool to identify exactly where your customizations are failing.
This article walks you through capturing Sprout Social Data Events and replaying them through your Flow to pinpoint errors.
Using Professional Services? If your Flow was customized by a Sprout Technical Services Consultant, contact them directly before debugging. They have internal diagnostic tools and can identify issues faster than manual Flow debugging.
Using the BYOC integration? This debugging process applies only to the standard Service Cloud Flow template (Inbound Sprout Social Data). The BYOC integration routes messages through Salesforce's native Messaging and Omni-Channel framework — it does not use this Flow.
Before you begin
Use a Sandbox (recommended)
If possible, perform this debugging process in a Salesforce Sandbox rather than production. The debug process requires deactivating your production Flow, which means no messages will be processed from Sprout while the Flow is inactive.
If you must debug in production, plan for a low-traffic window and keep the debug session brief.
Understand how Data Events work
When Sprout sends a message to Salesforce, it creates a Sprout Social Data Event record. The Flow template reads this event, processes it (creating Social Post, Social Persona, Contact, and Case records), and then deletes the Data Event to keep your org clean.
This presents a debugging challenge: by the time you notice an error, the Data Event that caused it has already been deleted. To debug, you need to:
Create a copy of your Flow that does NOT delete Data Events
Send a new message to capture a fresh Data Event
Replay that preserved Data Event through the debug tool
Step-by-step debugging process
Step 1: Create a debug copy of your Flow
In Salesforce, navigate to Setup > Flows.
Open your customized Flow (e.g., "Inbound Sprout Social Data" or your renamed version).
Locate the Delete_Sprout_Data_Event elements in the Flow canvas. There may be more than one — check all branches.
Select each Delete_Sprout_Data_Event element and click Delete Elements to remove them from the canvas.
Why? If Data Events are deleted during processing, they won't be available in the debug dropdown later. Removing the delete steps preserves the records for replay.
Click Save As in the top right corner. Give your debug copy a clear name (e.g., "Inbound Sprout Social Data - DEBUG"). This creates a new Flow without modifying your original.
Step 2: Activate the debug Flow (temporarily)
Deactivate your production Flow and any other active Sprout-related Flows.
⚠️ Important: While your production Flow is deactivated, no incoming messages from Sprout will be processed into Cases. Keep this window as short as possible.
Activate your debug Flow.
Step 3: Send a test message
In Sprout, send a test message to Salesforce via Macro or Automated Rule. Use a message that represents the type causing errors in production.
This creates a Sprout Social Data Event, along with the downstream records (Social Post, Social Persona, Contact, Case) — unless your Flow errors out first.
Step 4: Run the debugger
Return to your debug Flow in Flow Builder.
Click Debug in the top right corner.
Under Triggering Record, open the dropdown and select the Sprout Social Data Event you just created. It will be timestamped from your test message.
Click Run.
Step 5: Interpret the results
Review the Debug Details panel. It shows each element in your Flow sequentially, with:
✅ Green checkmarks — Element executed successfully
❌ Red X marks — Element failed with an error
Click on any failed element to see the specific error message.
Common errors and resolutions
Error | What it means | How to fix |
|---|---|---|
FIELD_CUSTOM_VALIDATION_EXCEPTION | A validation rule on Contact, Lead, or Case is blocking record creation | Create an exception in your validation rule for the integration user, or update your Flow to populate the required field before the record creation step |
INSUFFICIENT_ACCESS_ON_CROSS_REFERENCE_ENTITY | The integration user lacks permission on a referenced object (e.g., a Queue, Record Type, or related object) | Grant the integration user's profile access to the referenced object or record type |
UNABLE_TO_LOCK_ROW | A race condition — another process is modifying the same record simultaneously | This is often transient. If persistent, check for competing triggers or workflows on the same object |
REQUIRED_FIELD_MISSING | A required field on the target object isn't being populated by your Flow | Add an Assignment element before the Create/Update record step to populate the missing field |
INVALID_CROSS_REFERENCE_KEY | A lookup field references an ID that doesn't exist (e.g., a deleted Queue or invalid Record Type ID) | Verify the hardcoded IDs in your Flow Assignment elements still reference valid records |
ENTITY_IS_DELETED | The Flow is trying to update a record that was deleted by another process | Check for competing automation (triggers, other Flows, Process Builder) that may be deleting records mid-transaction |
Null pointer exception / variable is null | A variable in your Flow doesn't have a value when it's expected to | Add a Decision element to check whether the variable is null before using it in downstream logic |
After debugging
Once you've identified and fixed the issue:
Deactivate the debug Flow.
Apply your fix to your production Flow (or create a new version with the fix).
Reactivate your production Flow.
(Optional) Delete the debug Flow to keep your org clean.
(Optional) Delete the test Sprout Social Data Event records, Social Posts, and Cases created during debugging.
Verify the fix by sending another test message through your production Automated Rule or Macro and confirming the expected records are created in Salesforce.
Tips for preventing Flow errors
Always test customizations in a Sandbox first before deploying to production.
Keep your managed package updated — Version 1.4+ includes bug fixes and new field support (Message Intent, Customer Profile name, Contact auto-association). Outdated packages can cause field-mapping errors in customized Flows.
Document your customizations — When modifying the template, keep a changelog of what you changed and why. This makes debugging significantly easier months later.
Avoid hardcoding IDs — Use dynamic references (e.g., Get Records elements) instead of hardcoded Record Type or Queue IDs, which break when records are deleted or orgs are migrated.
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