diff --git a/posthog/temporal/tests/batch_exports/test_bigquery_batch_export_workflow.py b/posthog/temporal/tests/batch_exports/test_bigquery_batch_export_workflow.py
index 3a06ca981a14f..b74e784492556 100644
--- a/posthog/temporal/tests/batch_exports/test_bigquery_batch_export_workflow.py
+++ b/posthog/temporal/tests/batch_exports/test_bigquery_batch_export_workflow.py
@@ -473,6 +473,65 @@ async def test_bigquery_export_workflow(
         )
 
 
+@pytest.mark.parametrize("interval", ["hour"])
+@pytest.mark.parametrize("exclude_events", [None], indirect=True)
+@pytest.mark.parametrize("batch_export_schema", TEST_SCHEMAS)
+async def test_bigquery_export_workflow_without_events(
+    clickhouse_client,
+    bigquery_batch_export,
+    interval,
+    exclude_events,
+    ateam,
+    table_id,
+    use_json_type,
+    batch_export_schema,
+):
+    """Test the BigQuery Export Workflow without any events to export.
+
+    The workflow should update the batch export run status to completed and set 0 as `records_completed`.
+    """
+    data_interval_end = dt.datetime.fromisoformat("2023-04-25T14:30:00.000000+00:00")
+
+    workflow_id = str(uuid4())
+    inputs = BigQueryBatchExportInputs(
+        team_id=ateam.pk,
+        batch_export_id=str(bigquery_batch_export.id),
+        data_interval_end=data_interval_end.isoformat(),
+        interval=interval,
+        batch_export_schema=batch_export_schema,
+        **bigquery_batch_export.destination.config,
+    )
+
+    with freeze_time(TEST_TIME):
+        async with await WorkflowEnvironment.start_time_skipping() as activity_environment:
+            async with Worker(
+                activity_environment.client,
+                task_queue=settings.TEMPORAL_TASK_QUEUE,
+                workflows=[BigQueryBatchExportWorkflow],
+                activities=[
+                    start_batch_export_run,
+                    insert_into_bigquery_activity,
+                    finish_batch_export_run,
+                ],
+                workflow_runner=UnsandboxedWorkflowRunner(),
+            ):
+                await activity_environment.client.execute_workflow(
+                    BigQueryBatchExportWorkflow.run,
+                    inputs,
+                    id=workflow_id,
+                    task_queue=settings.TEMPORAL_TASK_QUEUE,
+                    retry_policy=RetryPolicy(maximum_attempts=1),
+                    execution_timeout=dt.timedelta(seconds=10),
+                )
+
+        runs = await afetch_batch_export_runs(batch_export_id=bigquery_batch_export.id)
+        assert len(runs) == 1
+
+        run = runs[0]
+        assert run.status == "Completed"
+        assert run.records_completed == 0
+
+
 async def test_bigquery_export_workflow_handles_insert_activity_errors(ateam, bigquery_batch_export, interval):
     """Test that BigQuery Export Workflow can gracefully handle errors when inserting BigQuery data."""
     data_interval_end = dt.datetime.fromisoformat("2023-04-25T14:30:00.000000+00:00")
diff --git a/posthog/temporal/tests/batch_exports/test_postgres_batch_export_workflow.py b/posthog/temporal/tests/batch_exports/test_postgres_batch_export_workflow.py
index de25cff0366f7..5dedb8c8c0faf 100644
--- a/posthog/temporal/tests/batch_exports/test_postgres_batch_export_workflow.py
+++ b/posthog/temporal/tests/batch_exports/test_postgres_batch_export_workflow.py
@@ -401,8 +401,8 @@ async def test_postgres_export_workflow(
     )
 
 
-@pytest.mark.parametrize("interval", ["hour", "day"], indirect=True)
-@pytest.mark.parametrize("exclude_events", [None, ["test-exclude"]], indirect=True)
+@pytest.mark.parametrize("interval", ["hour"], indirect=True)
+@pytest.mark.parametrize("exclude_events", [None], indirect=True)
 @pytest.mark.parametrize("batch_export_schema", TEST_SCHEMAS)
 async def test_postgres_export_workflow_without_events(
     clickhouse_client,
@@ -415,10 +415,9 @@ async def test_postgres_export_workflow_without_events(
     table_name,
     batch_export_schema,
 ):
-    """Test Postgres Export Workflow end-to-end by using a local PG database.
+    """Test Postgres Export Workflow end-to-end without any events to export.
 
-    The workflow should update the batch export run status to completed and produce the expected
-    records to the local development PostgreSQL database.
+    The workflow should update the batch export run status to completed and set 0 as `records_completed`.
     """
     data_interval_end = dt.datetime.fromisoformat("2023-04-25T14:30:00.000000+00:00")
 
diff --git a/posthog/temporal/tests/batch_exports/test_s3_batch_export_workflow.py b/posthog/temporal/tests/batch_exports/test_s3_batch_export_workflow.py
index bc6728816e145..77d9e6a5486bb 100644
--- a/posthog/temporal/tests/batch_exports/test_s3_batch_export_workflow.py
+++ b/posthog/temporal/tests/batch_exports/test_s3_batch_export_workflow.py
@@ -544,14 +544,9 @@ async def test_s3_export_workflow_with_minio_bucket_without_events(
     s3_key_prefix,
     batch_export_schema,
 ):
-    """Test S3BatchExport Workflow end-to-end by using a local MinIO bucket instead of S3.
-
-    The workflow should update the batch export run status to completed and produce the expected
-    records to the MinIO bucket.
+    """Test S3BatchExport Workflow end-to-end without any events to export.
 
-    We use a BatchExport model to provide accurate inputs to the Workflow and because the Workflow
-    will require its prescense in the database when running. This model is indirectly parametrized
-    by several fixtures. Refer to them for more information.
+    The workflow should update the batch export run status to completed and set 0 as `records_completed`.
     """
     data_interval_end = dt.datetime.fromisoformat("2023-04-25T14:30:00.000000+00:00")