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Automated line item generator for Prebid.js and Google Ad Manager

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Setup Tool for Prebid and GAM (previously DFP)

An automated line item generator for Prebid.js and Google Ad Manager (previously DFP)

Overview

When setting up Prebid, your ad ops team often has to create hundreds of line items in Google Ad Manager (GAM).

This tool automates setup for new header bidding partners. You define the advertiser, placements or ad units, and Prebid settings; then, it creates an order with one line item per price level, attaches creatives, sets placement and/or ad units, and Prebid key-value targeting.

While this tool covers typical use cases, it might not fit your needs. Check out the limitations before you dive in.

Note: Doubleclick for Publishers (DFP) was recently renamed to Google Ad Manager (GAM), so this repository may refer to GAM as DFP.

Getting Started

Requirements

  • Python version >= 3.6 and a basic knowledge of Python
  • Access to create a service account in the Google Developers Console
  • Admin access to your Google Ad Manager account

Creating Google Credentials

You will need credentials to access your GAM account programmatically. This summarizes steps from GAM docs and the Google Ads Python libary auth guide.

  1. If you haven't yet, sign up for a GAM account.
  2. Create Google developer credentials
    • Go to the Google Developers Console Credentials page.
    • On the Credentials page, select Create credentials, then select Service account key.
    • Select New service account, and select JSON key type. You can leave the role blank.
    • Click Create to download a file containing a .json private key.
  3. Enable API access to GAM
    • Sign into your GAM account. You must have admin rights.
    • In the Admin section, select Global settings
    • Ensure that API access is enabled.
    • Click the Add a service account user button.
      • Use the service account email for the Google developer credentials you created above.
      • Set the role to "Administrator".
      • Click Save.

Setting Up

  1. Clone this repository.
  2. Install Python dependencies
    • Run pip install -r requirements.txt
    • Important: Python version 3.6 or higher is required.
  3. Rename key
    • Rename the Google credentials key you previously downloaded ([something].json) to key.json and move it to the root of this repository
  4. Make a copy of googleads.example.yaml and name it googleads.yaml.
  5. In googleads.yaml, set the required fields:
    • application_name is the name of the Google project you created when creating the service account credentials. It should appear in the top-left of the credentials page.
    • network_code is your GAM network number; e.g., for https://admanager.google.com/12398712#delivery, the network code is 12398712.

Verifying Setup

Let's try it out! From the top level directory, run

python -m dfp.get_orders

and you should see all of the orders in your GAM account.

Creating Line Items

Modify the following settings in settings.py:

Setting Description Type
DFP_ORDER_NAME What you want to call your new GAM order string
DFP_USER_EMAIL_ADDRESS The email of the GAM user who will be the trafficker for the created order string
DFP_ADVERTISER_NAME The name of the GAM advertiser for the created order string
DFP_TARGETED_AD_UNIT_NAMES The names of GAM ad units the line items should target array of strings
DFP_TARGETED_PLACEMENT_NAMES The names of GAM placements the line items should target array of strings
DFP_PLACEMENT_SIZES The creative sizes for the targeted placements array of objects (e.g., [{'width': '728', 'height': '90'}])
PREBID_BIDDER_CODE The value of hb_bidder for this partner string
PREBID_PRICE_BUCKETS The price granularity; used to set hb_pb for each line item object

Then, from the root of the repository, run:

python -m tasks.add_new_prebid_partner

You should be all set! Review your order, line items, and creatives to make sure they are correct. Then, approve the order in GAM.

Note: GAM might show a "Needs creatives" warning on the order for ~15 minutes after order creation. Typically, the warning is incorrect and will disappear on its own.

Additional Settings

In most cases, you won't need to modify these settings.

Setting Description Default
DFP_CREATE_ADVERTISER_IF_DOES_NOT_EXIST Whether we should create the advertiser with DFP_ADVERTISER_NAME in GAM if it does not exist False
DFP_USE_EXISTING_ORDER_IF_EXISTS Whether we should modify an existing order if one already exists with name DFP_ORDER_NAME False
DFP_NUM_CREATIVES_PER_LINE_ITEM The number of duplicate creatives to attach to each line item. Due to GAM limitations, this should be equal to or greater than the number of ad units you serve on a given page. the length of setting DFP_TARGETED_PLACEMENT_NAMES
DFP_CURRENCY_CODE The currency to use in line items. 'USD'
DFP_LINE_ITEM_FORMAT The format for the line item names. u'{bidder_code}: HB ${price}'

Limitations

  • This tool does not currently support run-of-network line items (see #16). You must target line items to placements, ad units, or both.
  • Currently, the names of the bidder code targeting key (hb_bidder) and price bucket targeting key (hb_pb) are not customizable. The hb_bidder targeting key is currently required (see #18)
  • This tool does not support additional line item targeting beyond placement, ad units, hb_bidder, and hb_pb values. It does not yet support setting other options on the line item such as the "Allow same advertiser exception" (see #59)
  • The price bucketing setting PREBID_PRICE_BUCKETS only allows for uniform bucketing (see #27). For example, you can create $0.01 buckets from $0 - $20, but you cannot specify $0.01 buckets from $0 - $5 and $0.50 buckets from $5 - $20. Using entirely $0.01 buckets will still work for the custom buckets—you'll just have more line items than you need.
  • This tool does not modify existing orders or line items, it only creates them. If you need to make a change to an order, it's easiest to archive the existing order and recreate it.

Please consider contributing to make the tool more flexible.

Contributors

Thanks to these people for making this tool better 🤗:

@couhie, @dlackty, @pbrisson, @jsonUK

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