7.7.1.5 Setup AppNexus SSP and AdServer Connection

To connect the AppNexus SSP with ADvendio please follow these steps:

1. Configure the ADServer Login

Navigate to Overview - AdServer Interface - ADServer Logins. Create a new login record and fill in the following fields:


2. Schedule Delivery Data Imports

Go to the Delivery Data Settings page and schedule the job to your needs. Read here how to: 5.3.3 Schedule Delivery Data Reports (Legacy Feature). Starting with version 2.90 the import will get delivery data for the last month plus the current month-to-date data (until the 7th day of the current). After this cut-off date we only import data for the actual month/month-to-date. 

3. Check Rights / Permissions

To use AppNexus please enable the respective Record Types for the following objects:

  • Adtype
  • Adserver Id's
  • Adserver Login

and add access for the profiles and/or permission sets of your users (existing Customers 2.87 and lower). Record types might exist in your Salesforce Org, but are deactivated by default. 

4. Activate Seamless Insertion Orders

To activate the creation of seamless insertion orders from ADvendio, you need to configure it at your Adserver login.

Select the value "Seamless" in the picklist Adserver Features. Customers updating from an older version of ADvendio, need to create Seamless as picklist value in setup first.

As soon as seamless is selected all insertion orders will be created as seamless orders. To deselect this feature, simply set the picklist to the value none at your Adserver Login.

For more information about seamless insertion orders take a look at the following Wiki article: 7.3.8.3 Seamless Insertion Orders and Augmented Line Items.

5. Mapping

We have implemented the Mapping with the Generic Dataloader (GDL) so you are free to map to your requirements. If you need help please contact your technical account manager for support.

Following fields are mapped by default:

Dimensions

ColumnTypeExampleDescription

Programmatic Data Field

month

time

"2010-02"

The month of the auction.

Date__c

publisher_currency

string

"USD"

The currency of the publisher.

CurrencyIsoCode

geo_country

string

"US"

The code for the geographic country. For impression requests for which we received no indication that the ad was rendered (i.e., non-transacted), country information may not be provided.

ADvendio__Country__c

size

string

"728x90"

The size of the placement/creative served.

ADvendio__AdSlot__c

placement_id

int

546

The ID of the placement. Note that, for impressions older than 100 days, placements will be aggregated into one row with -1 as the placement_id.

new field

placement_name

string

"300x250 Business"

The name of the placement. Note that, for impressions older than 100 days, placements will be aggregated into one row with "All placement data older than 100 days" as theplacement_name.new field

deal_id

int

2345

The ID of the deal. For more information about negotiated deals between buyers and sellers, see Deal Service and Deal Buyer Access Service.

ADvendio__DealId__c

deal_name

string

"Private deal for buyer 1085 with floor of $2.50"

The name of the deal.

DealName__c

deal_codestring"External seller deal code"The custom code for the deal. For deals with external supply partners, this is generally the string that you use to identify the deal.ADvendio__ExternalId__c
site_idint555The ID of the site. Note: For impressions older than 100 days, the site_id will be 0.AdUnitId__c
site_namestring"My Site"The name of the site.AdUnit__c

Metrics

Column

Type

Example

Formula

Description

Programmatic Data Field

imps

int

2340

imps

The total number of impressions (served and resold).

ADvendio__Impressions__c

clicks

int

545

clicks

The total number of clicks across all impressions.

ADvendio__Clicks__c

revenue_including_fees

money

400.05

revenue - commissions

The sum of booked revenue and reseller revenue minus commissions.

ADvendio__Revenue__c

ctr

double

0.002327

clicks / imps

The rate of clicks to impressions.

new field

click_thru_pct

double

1.12359550561797

(clicks / imps) * 100

The rate of clicks to impressions as a percentage.

new field