You can import Media Campaign, Paid Search Campaign, Site Campaign, User Audience Segment Map, Segment Mapping File or Dissent Lists from Salesforce DMP (Krux) into Treasure Data.

Prerequisites

Integration Overview

This integration has two parts:

  1. Cookie-syncing between Salesforce DMP and Treasure Data CDP: Required to create a mapping between Salesforce DMP ID and Treasure Data ID's td_global_id & td_client_id

  2. Data import from Salesforce DMP into Treasure Data CDP: There are various data feeds that can be brought in. For the purpose of data enrichment, the key file is the mapping between Segment IDs and their names.


Implement a Cookie-Syncing Tag

You must first set up Treasure Data's JavaScript tag as documented in Getting Started with Website Tracking under "Setting up website tracking and install the Treasure Data JavaScript SDK".

Next, add the following piece of code into the website where Salesforce DMP's tag is already installed.

(function(window, document, td){

var kruxProperties = {};
for ( var k in window.localStorage ) {
    if ( k.startsWith('<YOUR KRUX PREFIX HERE>') ) {
        kruxProperties[k] = window.localStorage.getItem(k)
    }
}
td.trackEvent('<TD TABLE NAME FOR TRACKING KRUX ID/TD ID map>', kruxProperties);
  
var successCb = function(tdGlobalId) {
  // This is createImage in TDWrapper
  var el = document.createElement('img');
  el.src = '//beacon.krxd.net/usermatch.gif?partner=treasuredata&partner_uid=' + tdGlobalId;
  el.width=1;
  el.height=1;
  el.style.display='none';
  document.body.appendChild(el);
}
  
function isSafari() {
  var ua = window.navigator.userAgent.toLowerCase();
  return ua.indexOf('safari') !== -1 && ua.indexOf('chrome') === -1 && ua.indexOf('edge') === -1;
}

if ( isSafari() ) {
  // TODO: Safari-specific handling due to ITP 2.1
} else {
  td.fetchGlobalID(successCb, function(err) { console.log(err) });
}

})(window, document, td);


The preceding code sample does not include cookie-syncing for Safari browsers. Safari's Intelligent Tracking Prevention (ITP) feature makes 3rd party domain cookie-based visitor identification less reliable. We are actively planning a solution around this.


Use the TD Console to Create Your Connection

Create a New Connection

Go to Integrations Hub > Catalog and search and select Salesforce DMP.

Select Create. You are creating an authenticated connection.

The following dialog opens.


Edit the client name, access key id, and secret access key that you retrieved from Salesforce DMP.

Select Continue.

Name your new Salesforce DMP Connection. Select Done.

Transfer Your Data to Treasure Data

After creating the authenticated connection, you are automatically taken to the Authentications tab. Look for the connection you created and select New Source.

Specify the data that you want to import:

Import Segment Mapping File

For the Source, choose Segment Mapping File.


Import User Audience Segment Map

For the Source, choose User Audience Segment Map.


Parameters:

Import Media Campaign, Paid Search Campaign, Site Campaign, Dissent Lists

For the Source, choose Media Campaign, Paid Search Campaign, Site Campaign, or Dissent Lists.

Parameters:

Preview


Advanced Settings

You can specify the following parameters:

Choose the Target Database and Table

Choose existing ones or create a new database and table.


Create a new database and give your database a name. Complete similar steps for Create new table.

Select whether to append records to an existing table or replace your existing table.

If you want to set a different partition key seed rather than use the default key, you can specify one using the popup menu.

Scheduling

In the When tab, you can specify a one-time transfer, or schedule an automated recurring transfer.

Parameters

Details

Name your Transfer and select Done to start.

After your transfer has run, you can see the results of your transfer in the Databases tab.

Use the Command Line to create your Salesforce DMP connection

You can use the TD Console to configure your connection.

Install the Treasure Data Toolbelt

Install the newest TD Toolbelt.

Create a Configuration File (load.yml)

The configuration file includes an in: section where you specify what comes into the connector from Salesforce DMP and an out: section where you specify what the connector puts out to the database in Treasure Data. For more details on available out modes, see the Appendix.

The following example shows how to specify import Media Campaign, without incremental scheduling.

in:  type: krux_dmp  access_key_id: xxxxxxxxxxx  secret_access_key: xxxxxxxxxxx  client_name: xxxxxxxxxxx  target: mc  start_date: 2019-01-17  end_date: 2019-01-27  incremental: falseout: mode: append


The following example shows how to specify import Media Campaign, with incremental scheduling.

in:  type: krux_dmp  access_key_id: xxxxxxxxxxx  secret_access_key: xxxxxxxxxxx  client_name: xxxxxxxxxxx  target: mc  start_date: 2019-01-17  end_date: 2019-01-27  incremental: trueout: mode: append


The following example shows how to specify import Paid Search Campaign, without incremental scheduling.

in:  type: krux_dmp  access_key_id: xxxxxxxxxxx  secret_access_key: xxxxxxxxxxx  client_name: xxxxxxxxxxx  target: psc  start_date: 2019-01-17  end_date: 2019-01-27  incremental: falseout: mode: append


The following example shows how to specify import Paid Search Campaign, with incremental scheduling.

in:  type: krux_dmp  access_key_id: xxxxxxxxxxx  secret_access_key: xxxxxxxxxxx  client_name: xxxxxxxxxxx  target: psc  start_date: 2019-01-17  end_date: 2019-01-27  incremental: trueout: mode: append


The following example shows how to specify import Site Campaign, without incremental scheduling.

in: type: krux_dmp access_key_id: xxxxxxxxxxx secret_access_key: xxxxxxxxxxx client_name: xxxxxxxxxxx target: sc start_date: 2019-01-17 end_date: 2019-01-27 incremental: falseout: mode: append


The following example shows how to specify import Site Campaign, with incremental scheduling.

in: type: krux_dmp access_key_id: xxxxxxxxxxx secret_access_key: xxxxxxxxxxx client_name: xxxxxxxxxxx target: sc start_date: 2019-01-17 end_date: 2019-01-27 incremental: trueout: mode: append


The following example shows how to specify import Dissent Lists, without incremental scheduling.

in: type: krux_dmp access_key_id: xxxxxxxxxxx secret_access_key: xxxxxxxxxxx client_name: xxxxxxxxxxx target: dl start_date: 2019-01-17 end_date: 2019-01-27 incremental: falseout: mode: append


The following example shows how to specify import Dissent Lists, with incremental scheduling.

in: type: krux_dmp access_key_id: xxxxxxxxxxx secret_access_key: xxxxxxxxxxx client_name: xxxxxxxxxxx target: dl start_date: 2019-01-17 end_date: 2019-01-27 incremental: trueout: mode: append


The following example shows how to specify import User Audience Segment Map.

in: type: krux_dmp access_key_id: xxxxxxxxxxx secret_access_key: xxxxxxxxxxx client_name: xxxxxxxxxxx target: uasm import_date: 2019-01-17out: mode: append


The following example shows how to specify import Segment Mapping File.

in: type: krux_dmp access_key_id: xxxxxxxxxxx secret_access_key: xxxxxxxxxxx client_name: xxxxxxxxxxx target: smfout: mode: append

Preview the Data to be Imported (Optional)

You can preview data to be imported using the command td connector:preview.

$ td connector:preview load.yml 

Execute the Load Job

You use td connector:issue to execute the job.

You must specify the database and table where you want to store the data before you execute the load job. Ex td_sample_db, td_sample_table

$ td connector:issue load.yml \      --database td_sample_db \      --table td_sample_table \      --time-column date_time_column

It is recommended to specify --time-column option because Treasure Data’s storage is partitioned by time. If the option is not given, the data connector selects the first long or timestamp column as the partitioning time. The type of the column, specified by --time-column, must be either of long or timestamp type (use Preview results to check for the available column name and type. Generally, most data types have a last_modified_date column).

If your data doesn’t have a time column, you can add the column by using the add_time filter option. See details at add_time filter plugin.

The td connector:issue assumes you have already created a database (sample_db) and a table (sample_table). If the database or the table does not exist in TD, td connector:issue will fail. Therefore, you must create the database and table manually or use --auto-create-table with td connector:issue to automatically create the database and table.

 $ td connector:issue load.yml \       --database td_sample_db \       --table td_sample_table \       --time-column date_time_column \      --auto-create-table

From the command line, submit the load job. Processing might take a couple of hours depending on the data size.

Scheduled Running of the Integration

You can schedule periodic data connector execution for periodic Media Campaign, Paid Search Campaign, Site Campaign import. We configure our scheduler carefully to ensure high availability. By using this feature, you no longer need a cron daemon on your local data center.

Scheduled execution supports configuration parameters that control the behavior of the data connector during its periodic attempts to fetch data from Salesforce DMP:

See How Incremental Loading works for details and examples.

Create the Schedule

A new schedule can be created using the td connector:create command. The name of the schedule, cron-style schedule, the database and table where their data will be stored, and the data connector configuration file are required.

The `cron` parameter accepts these options: `@hourly`, `@daily`, and `@monthly`.

By default, the schedule is set up in the UTC timezone. You can set the schedule in a timezone using -t or --timezone option. The `--timezone` option only supports extended timezone formats like 'Asia/Tokyo', 'America/Los_Angeles', etc. Timezone abbreviations like PST, CST are *not* supported and may lead to unexpected schedules.


$ td connector:create \
    daily_import \
    "10 0 * * *" \
    td_sample_db \
    td_sample_table \
    load.yml

It’s also recommended to specify the --time-column option because Treasure Data’s storage is partitioned by time.

$ td connector:create \
    daily_import \
    "10 0 * * *" \
    td_sample_db \
    td_sample_table \
    load.yml \
    --time-column created_at

List the Schedules

You can see the list of scheduled entries by entering the command td connector:list.

$ td connector:list
+--------------+------------+----------+-------+--------------+-----------------+--------------------------------------------+
| Name         | Cron       | Timezone | Delay | Database     | Table           | Config                                     |
+--------------+------------+----------+-------+--------------+-----------------+--------------------------------------------+
| daily_import | 10 0 * * * | UTC      | 0     | td_sample_db | td_sample_table | {"in"=>{"type"=>"krux_dmp",  |
+--------------+------------+----------+-------+--------------+-----------------+--------------------------------------------+

Show the Schedule Settings and History of Schedules

td connector:show shows the execution setting of a schedule entry.

% td connector:show daily_import
Name     : daily_import
Cron     : 10 0 * * *
Timezone : UTC
Delay    : 0
Database : td_sample_db
Table    : td_sample_table
Config
---in: type: krux_dmp access_key_id: xxxxxxxxxxx secret_access_key: xxxxxxxxxxx client_name: xxxxxxxxxxx target: mc start_date: 2019-01-17 end_date: 2019-01-27 incremental: true

td connector:history shows the execution history of a schedule entry. To investigate the results of each individual execution, use td job <jobid>.

% td connector:history daily_import
+--------+---------+---------+--------------+-----------------+----------+---------------------------+----------+
| JobID  | Status  | Records | Database     | Table           | Priority | Started                   | Duration |
+--------+---------+---------+--------------+-----------------+----------+---------------------------+----------+
| 578066 | success | 10000   | td_sample_db | td_sample_table | 0        | 2019-03-28 00:10:05 +0000 | 160      |
| 577968 | success | 10000   | td_sample_db | td_sample_table | 0        | 2019-03-27 00:10:07 +0000 | 161      |
| 577914 | success | 10000   | td_sample_db | td_sample_table | 0        | 2019-03-26 00:10:03 +0000 | 152      |
| 577872 | success | 10000   | td_sample_db | td_sample_table | 0        | 2019-03-25 00:10:04 +0000 | 163      |
| 577810 | success | 10000   | td_sample_db | td_sample_table | 0        | 2019-03-24 00:10:04 +0000 | 164      |
| 577766 | success | 10000   | td_sample_db | td_sample_table | 0        | 2019-03-23 00:10:04 +0000 | 155      |
| 577710 | success | 10000   | td_sample_db | td_sample_table | 0        | 2019-03-22 00:10:05 +0000 | 156      |
| 577610 | success | 10000   | td_sample_db | td_sample_table | 0        | 2019-03-21 00:10:04 +0000 | 157      |
+--------+---------+---------+--------------+-----------------+----------+---------------------------+----------+
8 rows in set

Delete the Schedule

td connector:delete removes the schedule.

$ td connector:delete daily_import

Modes for the out plugin



How Incremental Loading works

Incremental loading uses the last imported date of files to load records monotonically, inserting or updating files after the most recent execution.

At the first execution, this connector loads all files matching the Filename Regex and Modified After. If incremental : true is set, the latest modified DateTime will be saved as a new Modified After value.

Example:

Then the files: File0011.csv, File0012.csv, File0013.csv, and File0014.csv are imported as they match the Filename Regex, and all having the last update > 2019-05-01T10:00:00.00Z.

After the job finished, new Modified After = 2019-05-08T10:00:00.123Z is saved.

At the next execution, only files having the last update > 2019-05-08T10:00:00.123Z are imported.

Example:

Then only files: File0013.csv and File0015.csv are imported.