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This guide shows you how to build an unattended integration that uploads an audience to Narrative and delivers it into a new customer list in one Snapchat ad account. Snapchat calls these lists Snap Audience Match audiences. Before you start, complete the prerequisites and set up API access. You need a profile ID and an ad account ID from List your advertisers.

1. Create the dataset

The dataset must carry at least one identifier column that Snapchat can match on. Required columns lists them.
Record the id in the response.

Required columns

The dataset needs at least one of these identifier columns: Each identifier column is named after its Rosetta Stone attribute, and the connector matches on that column name. A column holds either a plain string or an object. In the dataset schema, declare a string column with "type": "string", and declare an object column with "type": "object" and its properties:
Send an object column as an object in each row:
See your connector’s reference page for the attributes it accepts and their exact shapes. A row with one identifier looks like this:
See Supported identifiers for how the destination matches each identifier.

2. Activate the dataset

The response is 201 with the dataset, now "status": "active". Activation locks the schema, so activate only once the shape is settled.

3. Upload and ingest your file

Each line of the file is one row that matches the schema you declared in step 1. For the columns Snapchat accepts and their shapes, see Supported identifiers and Required columns. You can load a file into a dataset over the API in two ways:
  • Signed-URL upload. Your integration uploads one file of up to 3 GB, then asks Narrative to ingest it.
  • Managed S3 bucket. You write files to an S3 bucket that Narrative manages, and Narrative ingests each batch on its own. Use a managed bucket for files larger than 3 GB, or for files that another system delivers on a schedule.

Choose a file format

The dataset’s file_config.type sets the format of every file you load into it. Parquet and JSON Lines both hold object columns, which nest properties inside one column:
  • Parquet (parquet) is the most compatible format for connector datasets. It stores nested struct columns and their types natively, and Narrative matches columns to the schema by name at every level.
  • JSON Lines (json) holds one JSON object per line. Narrative matches each nested object to the schema by name.
CSV datasets (flat) hold only scalar columns, so they can’t carry object columns.

Upload a file with a signed URL

Request an upload URL, then send the file straight to storage:
The upload URL is valid for 30 minutes and carries its own signature, so send no authorization header with the PUT.
Keep the path from the response. Narrative assigns its own storage path, which does not match the name you requested, and the ingest request needs Narrative’s path rather than yours.
Then ingest the file into the dataset, passing that path as source_file:
Ingestion runs in the background. Watch the record count on the dataset to know when it has finished:
The count moves from zero to your row count, typically within a couple of minutes. Each ingested file adds a new snapshot to the dataset, and every active connection on the dataset delivers that snapshot.

Write files to a managed S3 bucket

A managed bucket is an S3 bucket that Narrative creates for your company. You write each batch of files into its own folder under the dataset’s path in the bucket, then write an empty _NIO_COMMIT file into that batch folder. Narrative ingests every file in the batch folder when the commit file appears, so you make no upload or ingest request. A file can be as large as S3 accepts. See Ingesting Files from a Managed S3 Bucket to create the bucket, grant your AWS account access, and lay out the folders.

4. Confirm Snapchat accepts the dataset

Before you create a connection, ask Narrative which connector interfaces the dataset satisfies:
The response checks the dataset’s schema against every interface of the connectors your company has installed, and sorts the results into two lists:
  • accepted lists each interface you can connect the dataset to, by the connector’s app_id and the interface_id.
  • errors lists each interface the schema does not satisfy. Its details hold the reason, such as "required property '<column>' not found".
Add ?tags=<tag> to check only the interfaces that carry that tag. When the interface you want is under errors, the dataset’s schema doesn’t meet what the interface needs, for example a missing column or property. Activation locks the schema, so create a new dataset that fixes what the error names. For Snapchat, look for the Snapchat Connector ("app_id": 22) with the audience interface in accepted. Add ?tags=snapchat to check only Snapchat’s interfaces.

5. Deliver to a new customer list

Create a connection. The connector creates the customer list in Snapchat before it answers, so the list exists in Ads Manager once you get 201.
Both type fields are required. The outer one identifies what you are connecting, and the one inside quick_settings selects the delivery interface. What the connection does describes every field, its allowed values, and its default. Record the connection id. You need it to stop the delivery.

6. Confirm the connection

Both responses show the connection with "status": "active" and the quick_settings you sent. In Snapchat Ads Manager, open Audiences and then Audience Library. The new list appears as a Customer List with the name, description, and retention you set. To hear when each delivery finishes, subscribe to delivery notifications. The connector sends audience.delivery.completed when a delivery to the customer list finishes.

Keeping the audience current

Write new data to the dataset with the same three calls as in step 3. The connection keeps running, so new rows reach the customer list without further calls.

Stopping delivery

Deleting the connection archives it and stops further deliveries. The customer list stays in Snapchat with its members. Delete it in Ads Manager if you no longer want it. To remove the dataset as well, send DELETE /datasets/{dataset_id}.

Troubleshooting

Getting help

Contact your Narrative relationship manager with your company ID, the dataset ID, and the failing request and response.

Sending conversion events via the API

Send offline conversions to a Snap Pixel

Snapchat Connector

Supported identifiers and audience retention

Connector Interfaces

Why a dataset connects to an interface rather than a connector

API Keys

Create and rotate keys for programmatic access