Top Insights

Overview

Top Insights shows the lift, impact, and delivery of all behavioral and contextual attributes in your campaign. Top Insights measures the lift of each attribute against the campaign's baseline, not the feature's baseline, thus allowing you to evaluate the performance of attributes across data providers or feature categories. This report shows each attribute's lift as it delivers each individual day. With this report you can:

  • Slice the report by each Conversion pixel.

  • Slice the report by custom date ranges, going back 18 months.

  • New Incremental metrics that combine lift and delivery. Incremental metrics provide insights into each attribute's impact.

  • See the relationship between performance, delivery, and cost over time on the Trends report.

HOW IS THE BASELINE CALCULATED?

Campaign baseline is calculated with the following general formula:

The campaign baseline can clarify further for each available lift metrics:

  1. Impression Conversion Rate Lift = Total attributed campaign conversions / Total campaign impressions

  2. Alien Conversion Rate Lift = Total observed campaign conversions / Total bid opportunities

  3. Click Through Rate Lift = Total campaign clicks / Total campaign impressions

  4. CPA Lift = Total spend / Total attributed conversions

Opening Top Insights

  1. Navigate to the Zeta DSP/DMP.

  2. Select an Advertiser.

  3. Select a Campaign.

  4. Hover over Report Builder in either the breadcrumb menu or the in-page navigation to view the Campaign Analytics menu.

  5. Select Top Insights in either the breadcrumb menu or the in-page navigation.

In-page menu:                                                                                                                                                                                                   

Breadcrumb menu:

 

Adjust Top Insights' Data View

There are 5 ways to adjust your view of data reflected on the Top Insights page:

  1. Adjust the Parameters.

  2. Adjust the Lift Range.

  3. Adjust the Data Visualization Options.

  4. Adjust the Displayed Attributes.

  5. Adjust the number of Rows Per Page.

Parameters

Click the  to open the Parameters pane. Within the Parameters pane, set each field as described below. The report will update with fresh data shortly after you make your selections. 

Parameters Metrics Table

Analyze

Select Converters or Clicks. This decision affects whether the report shows insights against converters or clickers.

Who Fired

Select All or individual Conversion Pixels in your campaign. This decision affects which pixels are considered in the report.

From 

Select All Sources, Zeta Impressions or Zeta Spend.

The data in the Top Insights report is derived from either from Zeta campaigns or All Sources. These data sources are: 

  • All Sources: Generate insights against bid requests seen by the campaign.  You cannot analyze Clickers using data All Sources.  Features like ad recency and campaign frequency are not available if you select All Sources. These features require campaign delivered impressions for evaluation.

  • Zeta Impressions: Generate insights against impressions delivered by Zeta campaigns.

  • Zeta Spend: This option is available when analyzing converters only if your campaign is using dCPM on all line items. Select Zeta Spend to view CPA lift, instead of conversion rate lift. This can help you identify which attributes are most cost-efficient. The lift is calculated as the ratio between the calculated CPA of an attribute and the baseline CPA. 

For

Select the date range from which data in the report is derived. Custom Date Ranges can be set on a week-by-week basis.

Against

Select the entire Campaign or specific Line-Items within the campaign. This decision allows you to choose whether to view data on specific lines in the campaign. 

Lift Range

Click the  to open the Lift Range pane and input the minimum and maximum displayed values. Any attribute that falls outside the specified range will be hidden. If you wish to exclude rows, select Exclude Specified Lift Range and enter a minimum and maximum value.

INCLUDE OR EXCLUDE

Use the Exclude Specified Lift Range toggle to either include () or exclude () the min and max range specified. 

Data Visualization

Click the  to open the Data Visualization pane. The secondary metrics provide additional context to the chart by showing incremental and percentage values for each attribute and data source. Select the metrics displayed in the two right-most columns of the report.

When using Zeta Impressions data, the following options are available as secondary metrics:

Incremental Conversions (or Clicks)

This combines lift with delivery to illustrate the amount of additional converters or clickers that can be reached, assuming a fixed rate of response and impression delivery.

% Impressions

The percentage of impressions served by this campaign to users with the attribute. 

% Conversions (or clicks)

The percentage of conversions completed by users with this attribute. 

When using data from All Sources, the following options are available as secondary metrics:

Incremental Alien Conversions

When the attribute is from a third-party, this combines lift with delivery to illustrate the amount of additional converters or clickers that can be reached by delivering to this attribute, assuming a fixed rate of response and impression delivery.

% of Alien Views (bid views)

The percentage of bids made by this campaign in which the user had the attribute.

% of Alien Conversions

The percentage of conversions completed by users with this third-party attribute. 

% of Spend

The percentage of campaign dollars spent on bids with this attribute.

Displayed Attributes

Top Insights can display data for a large number of different attributes categorized into Features. Filter these attributes by Feature using the following process:

  1. Click 

     located in the upper left-hand side of the screen.

  2. Select a specific Feature of attributes to display. Select All Features to show all attributes in all Features.

  3. Once you make a selection, the page will automatically update to show only attributes in the selected Feature. 

When choosing a specific feature, the following attributes are available:

Category: Context

Is this a Model Attribute?


Above the Fold

No.

True if an Ad is visible on the initial screen, but false if the ability to view the Ad depends on visitor activity such as scrolling a window.

Ad Exchange

No.

The ad exchange that served the ad.

Ad Size

No.

The Ad size, such as 160, 300 or 728 pixels.

Content Category

Yes.

The lifestyle category related to the page.

Language

No.

Lift by predicted language of the Ad visitor.

Site

Yes.

Site that published the Ad.

Netspeed

No.

Lift by method of user's Internet connection.

User Agent Words

Yes.

Words parsed out of user agent from a bid opportunity that relate to device, browser, or operating system.

Category: When

Day of Week

Yes.

The day of the week the ad was served.

Time of Day

Yes.

The time of day the ad was served.

Category: Geography

Country

Yes.

Lift by content category of the page where Ad was served, as reported by the Ad exchange.

State

No.

The U.S. state the user was in.

DMA

Yes.

The designated market area of the user.

Geo Categories

No.

Zeta tracks the historical locations of bid requests for each user and ties them to nearby place categories, e.g. Sporting Goods shops, Electronics Retailers, Shopping Malls, etc.

Geo Places

No.

Zeta tracks the historical locations of bid requests for each user and ties them to nearby place categories, e.g. AT&T, Starbucks Coffee, H&R Block, etc.

Category: Media Activities

Action Recency

Yes.

How much does a recent site visit influence campaign performance?

This report captures the effectiveness and predictiveness of targeting visitors shortly after a site action or visit. Specifically, Zeta measures the time between completing an action and clicking or converting bia a subsequent impression from this campaign, and the lift created by each level of recency. Time periods tracked:

  • Less than 1 day

  • 3-7 days

  • 1-2 weeks

  • 2-4 weeks

  • More than 4 weeks

  • Never completed a site action

Ad Recency

Yes.

The time since we showed a user the prior Ad for this same campaign.

Campaign Frequency

Yes.

What was the most effective number of Ad impressions to serve an individual to drive a click or conversion? This report displays the previous number of campaign impressions a user had seen they were served the Ad being analyzed.

Click

Yes.

How much lift have we seen based on users' past click behavior?

Zeta tracks whether individual users clicked on your campaign in the past month. For those who did not, Zeta checks whether they have clicked on any campaign in the Zeta network. Otherwise they are not known to have clicked on Ads in the past month.

Click Recency

Yes.

How predictive is the recency of a prior click on your campaign?

Users have either never clicked on your campaign or have clicked at some point in the last 28 or more days. Zeta tracks how effective it is to target users by how recently they clicked on your campaign, from 0-8 hours ago, to more than 28 days ago.

Cookie Age

Yes.

How predictive is the age of Zeta's cookie for this campaign?

Zeta tracks the length of time since Zeta first saw the user in our network and placed our cookie. Presumably, the longer Zeta has viewed a user, the more information has been collected on their interests and behavior.

Media Condition

Yes.

Media Condition segments.

Pixel

Yes.

Segments based on the campaign's Pixels.

Category: Third-Party Data

Acxiom - Adults

No.

Number of adults in the house as collected by Zeta partner Acxiom.

Acxiom - Age

No.

Age of the user as collected by Zeta partner Acxiom.

Acxiom - Children Ages

No.

Age of the children in the house as collected by Zeta partner Acxiom.

Acxiom - Children Number

No.

Number of children in the house as collected by Zeta partner Acxiom.

Acxiom - Gender

No.

Gender of the user as collected by Zeta partner Acxiom.

Acxiom - Income

No.

Income of the user as collected by Zeta partner Acxiom.

Acxiom - Marital Status

No.

Marital Status of the user as collected by Zeta partner Acxiom.

Acxiom - Net Worth

No.

Net Worth of the user as collected by Zeta partner Acxiom.

Acxiom - Personicx

No.

A third party data tool that is part of Acxiom.

BlueKai

No.

A third-party data source.

Datalogix - Age

No.

The age of the user, as collected by Zeta partner Datalogix.

DLX - Lifestyle

No.

The lifestyle of the user, as collected by DLX.

Epsilon - Buyer

No.

The buying habits of the user. When they buy, how often they buy, how much they spend or what they’re in the market to purchase; as collected by Zeta partner Epsilon.

Epsilon - Ethnic Group

No.

The ethnic group of the user, as collected by Zeta partner Epsilon.

Epsilon - Gender

No.

The gender of the user, as collected by Zeta partner Epsilon.

Epsilon - Income

No.

The income of the user, as collected by Zeta partner Epsilon.

Epsilon - Interest

No.

An interest of the user, as collected by Zeta partner Epsilon.

Epsilon - Language Assimilation

No.

The level of language assimilation of the user, as collected by Zeta partner Epsilon.

Epsilon - Life Stage

No.

The life stage of the user, as collected by Zeta partner Epsilon.

Epsilon - Mailorder Purchase

No.

Whether the user has made mail order purchases, as collected by Zeta partner Epsilon.

Epsilon - Occupation

No.

The occupation of the user, as collected by Zeta partner Epsilon.

Epsilon - Political Party

No.

The political party of the user, as collected by Zeta partner Epsilon.

Epsilon - Purchase Transaction Channel

No.

The purchase transaction channel or institution(s) that facilitate the transaction of the user, as collected by Zeta partner Epsilon.

eXelate

No.

A third-party data source.

eXelate - Age

No.

Age-based on data collected by Zeta partner eXelate.

eXelate - Age EU

No.

The age of the user (in the EU), as collected by Zeta partner eXelate. 

eXelate - Career

No.

The career of the user, as collected by Zeta partner eXelate.

eXelate - Children

No.

Whether the user has children, as collected by Zeta partner eXelate.

eXelate - Children Presence

No.

The number of children in the household, as collected by Zeta partner eXelate.

eXelate - Gender

No.

The gender of the user, as collected by Zeta partner eXelate.

eXelate - Gender EU

No.

The gender of the user (in the EU), as collected by Zeta partner eXelate.

eXelate - Home Ownership

No.

Whether the user is a homeowner, as collected by Zeta partner eXelate.

eXelate - Household

No.

The household income of the user, as collected by Zeta partner eXelate.

eXelate - Income

No.

The income of the user, as collected by Zeta partner eXelate.

eXelate - Intent

No.

The intent of the user, as collected by Zeta partner eXelate.

eXelate - Interest

No.

An interest of the user, as collected by Zeta partner eXelate.

eXelate - Shopping

No.

Ther user's shopping patterns, as collected by Zeta partner eXelate.

eXelate - Urbanicity

No.

The user's location on an urban/rural scale, as collected by Zeta partner eXelate.

Eyeota

No.

A third-party data provider.

Personicx - Digital

No.

The user’s digital activity, as collected by Zeta partner Personicx.

Personicx - Digital Group

No.

Grouping users based on their digital activity, as collected by Zeta partner Personicx.

Personicx - Financial

No.

The financial and investment behaviors of the user, as collected by Zeta partner Personicx.

Personicx - Life Stage

No.

The life stage of the user, as collected by Zeta partner Personicx.

Targus

No.

A third-party data provider.

Targus - Age

No.

Age-based on data collected by Zeta partner Targus.

Targus - Children

No.

Number of children in the household based on data collected by Zeta partner Targus.

Targus - Gender

No.

Gender-based on data collected by Zeta partner Targus.

Targus - HHI

No.

The household income, as collected by Zeta partner Targus.

Targus - Home Ownership

No.

Homeownership status, as collected by Zeta partner Targus.

Targus - Household

No.

The household size, as collected by Zeta partner Targus.

Targus - Income

No.

The user's income, as collected by Zeta partner Targus.

Targus - Net Worth

No.

The user's net worth, as collected by Zeta partner Targus.

Targus - Profile

No.

The user's profile, as collected by Zeta partner Targus.

Targus - Urbanicity

No.

The user's location, on an urban/rural scale. As collected by Zeta partner Targus.

When choosing the "All Sources" feature, the following attributes are available:

Category: Context

Is this a Model Attribute?


Ad Exchange

Yes.

The ad exchange that served the ad.

Ad Size

No.

The Ad size, such as 160x600 , 300x250 or 728x90 pixels.

Content Category

Yes.

The lifestyle category related to the page.

Language

No.

Lift by predicted language of the Ad visitor.

User Agent Words

Yes.

Words parsed out of user agent from a bid opportunity that relate to device, browser, or operating system.

Net Speed

No.

The lift generated by the user's internet speed.

Category: When

Day of Week

Yes.

The day of the week the ad was served.

Time of Day

Yes.

The time of day the ad was served.

Category: Geography

DMA

Yes.

The designated market area of the user.

Country

Yes.

The country of the user.

Category: Media Activities

Cookie Age

Yes.

How predictive is the age of Zeta's cookie for this campaign? Zeta tracks the length of time since Zeta first saw the user in our network and placed our cookie. Presumably, the longer Zeta has viewed a user, the more information has been collected on their interests and behavior.

Media Condition

Yes.

Media Condition segments.

Pixel

Yes.

Segments based on the campaign's Pixels.

Rows Per Page

Located in the bottom-right corner of the page, users can adjust the number of rows shown on a single page.

Options include viewing 25 per page, 50 per page, 100 per page, or All.

Views

There are two views within the Top Insights page: Visualization and Data. By default, Top Insights displays the Visualization View. 

Visualization View

The Visualization View is centered around visualizing each attribute's lift relative to every other attribute.  

Data Bar

Each row in Top Insights represents one attribute.

Top Insights is evaluating each attribute's performance against the campaign's objective. To do this, each attribute is assigned a Lift. Each row displays the Lift with a Data Bar, centered around a Dot and a Lift Percentage. 

The Data Bar shows the potential range in the lift of a given attribute. Features of the Data Bar include:

  • The minimum and maximum values are derived by evaluating the lift values that fall within one standard deviation of the calculated (Dot) value.

  • The size of the Data Bar corresponds to the confidence we have in the prediction of the lift value. A small Data Bar indicates a narrow range and high level of confidence in our prediction of the lift value.

  • If there is no Data Bar, it is because the lift range is smaller than the width of the Dot. 

Lift Percentage

The Lift Percentage shows how that attribute is providing lift compared to the campaign baseline. Lift Percentage is represented by a dot in the center of the Data Bar and corresponds to the lift percentage highlighted next to the Data Bar.

CONFIDENCE IS KEY

Each lift percentage is shown at an 85% confidence level.

Color

The color of the Data Bar, Dot, and Lift Percentage can be shown in red, green, or all green.

Red means the attribute provides less lift than the campaign baseline. Green means it provides more lift. All/Both indicates our confidence spread spans over the positive and negative threshold. 

STOP SCROLLING!

Click Lift atop the chart to sort the chart by positive or negative lift. 

Tooltip

Hover over any attribute's data bar to see a Tooltip for the attribute. The Tooltip shows the Feature and Attribute Name; along with the average lift, and lift range provided by the attribute.

 

DECODING ATTRIBUTE NAMES

Attributes are named with the following convention [Feature Name | Attribute] (e.g. "Ad Recency | 2-4 Weeks", "Age | 18-25", or "Gender | Male").

Key

This is a lot to remember, but don't worry, there is a Key on the page to remind users how to interpret the Data Bar. 

To open the key, click  located in the bottom-right corner of the page. To close the key, click

Data View

The Data View shows the raw numbers associated with insights on an attribute.

In Data View users can: 

  • Adjust all column widths.

  • Not remove the first 6 columns (Date Range, Campaign, Line Item, Conversion Pixel, Feature, attribute).

  • When analyzing Clickers, the Conversion Pixel column shows a cumulative count for each row.

Date Range

The time frame against which data is being evaluated and insights are being generated. Custom date ranges can be set. The custom dates used in this field are weekly. These weeks begin on Monday and end on Sunday. The report displays up to 18 months worth of data.  

Attribute

The name of the attribute, as passed from a third-party vendor or internally Zeta classified.

Campaign

The name of the campaign against which insights are being generated.

Line Item

The name of the line item against which insights are being generated. Line items live within campaigns.

Conversion Pixel

The conversion pixel(s) against which insights are being generated.

Spend

Actual U.S. dollars spent on the given attribute during the given time period. For example, say the campaign spent $100 and you spent $10 on "Men's Sites," $10 is shown. This number is within 5% of the actual value. For example, if you spent $100 espn.com, the Top Insights report may show that number as anywhere between $95 - $105.

% of Spend

Percentage of campaign (or line item) total U.S. dollars spent on the given attribute during the given time period. For example, say the campaign spent $100 and you spent $10 on "Men's Sites," % of spend would surface as 10%. This number is within 5% of the actual Total Spend value. For example, if you spent $10 espn.com in a $100 total spend, Top Insights may show this number as anywhere between 9.5% and 10.5%.

Impressions

The raw number of impressions served to users with a given attribute during the specified time period.

% of Impressions

The percentage of the campaign and/or line item's impressions were served to users with a given attribute during the specified time period.

Avg CPM

The average CPM paid to deliver impressions against users with a given attribute during the specified time period.

Conversions

The raw number of conversions completed by users with a given attribute during the specified time period.

% of Conversions

The percentage of the campaign/line item''s conversions that were completed by users with a given attribute during the specified time period.

Imp Conversion Rate

The rate at which users with a given attribute subsequently carried out a conversion action relative to the impressions delivered to them. Calculate by dividing Conversions by Impressions.

Imp CVR Lift

The ratio between the calculated response rate of an attribute and the baseline response rate. See Lift for details.

Incremental Conversions

Number of conversions that can be generated by targeting the given attribute over an average replacement attribute, or the delivery potential behind each attribute. Calculated as (Imp CVR - Baseline CVR)*(Impressions).

Alien Views

The raw number of bid opportunities associated with a given attribute that are leveraged for generating insights. 

% of Alien Views

The percentage of all bid opportunities associated with a given attribute relative to the campaign total.

Alien Conversions

The raw number of conversions that were observed against the conversion pixel(s) assigned to the campaign. These include converters not reached by Zeta impressions.

% of Alien Conversions

The percentage of non-campaign-attributable conversions that were completed by users with a given attribute.

Alien Conversion Rate

The rate at which users with a given attribute fired a conversion action relative to the number of bid views they were seen in. Calculated by dividing Alien Conversions by Alien Views.

Alien CVR Lift

The ratio between the calculated response rate of an attribute and the baseline response rate. Alien CVR Lift is based on bid views and all converting users as opposed to impressions and attributed conversions. See Lift for details.

Incremental Alien Conversions

Number of all alien conversions that can be generated by targeting the given attribute over an average replacement attribute, or the delivery potential behind each attribute.

Clicks

Raw number of clicks completed by users with a given attribute.

% of Clicks

The percentage of the campaign and/or line item's clicks that were completed by users with a given attribute during the specified time period.

Click-thru Rate

Number of clicks on ads divided by the number of Impressions delivered. Calculated as (Clicks/Impressions)*100.

CTR Lift

The ratio between the calculated click-through rate of an attribute and the baseline click-through rate. See Lift for details.

Incremental Clicks

Number of clicks that can be generated by targeting the given attribute over an average replacement attribute.

Lift

The Top Insights Visualization View was designed to display Lift data. The selections within the parameters pane determines the type of lift displayed.

Lift Type

Description

How to Enable

Calculations

Impression CVR Lift

The ratio between the calculated response rate of an attribute and the baseline response rate. 

Select the following Parameters:

  • Analyze: Converters

  • Data Source: Zeta Impressions

  • Positive lift = (attribute response rate / baseline response rate - 1).

  • Negative lift = (1 - baseline response rate/attribute response rate).

Alien CVR Lift

The ratio between the calculated response rate of an attribute and the baseline response rate.

Alien CVR Lift is based on bid views and all converting users as opposed to impressions and attributed conversions. 

Select the following Parameters:

  • Analyze: Converters

  • Data Source: All Sources

  • Positive lift = (attribute response rate / baseline response rate - 1).

  • Negative lift = (1 - baseline response rate/attribute response rate).

CTR Lift

The ratio between the calculated click-through rate of an attribute and the baseline click-through rate.

Select the following Parameters:

  • Analyze: Clickers

  • Data Source: Zeta Impressions

  • Positive lift = (attribute click through rate / baseline click through rate - 1). 

  • Negative lift = (1 - baseline click-through rate/attribute click-through rate)

CPA Lift

The ratio between the calculated CPA of an attribute and the baseline CPA. 

This lift type is only available for campaigns that are being run entirely on dCPM.

Select the following Parameters:

  • Analyze: Converters

  • Data Source: Zeta Spend

  • Positive lift = (attribute cpa / baseline cpa - 1)

  • Negative lift = (1 - baseline cpa / attribute cpa)

Geographic Attributes

Top Insights contains geographic data for 249 Countries and 353 DMAs from France, United States, and Great Britain. These locations will appear in the Attribute column via their unique identifier. 

Two known exceptions are:

  1. If the campaign currency is AUD (Australian Dollars):

    1. WA = Western Australia

    2. NS = New South Wales

  2. If the campaign currency is ZAR (South African Rand), only South Africa (SA) will populate.


 Click here to view the list of countries and DMAs.


Description

Feature

Identifier

Name

Country

Geography

AD

Andorra

Country

Geography

AE

United Arab Emirates

Country

Geography

AF

Afghanistan

Country

Geography

AG

Antigua And Barbuda

Country

Geography

AI

Anguilla

Country

Geography

AL

Albania

Country

Geography

AM

Armenia

Country

Geography

AO

Angola

Country

Geography

AQ

Antarctica

Country

Geography

AR

Argentina

Country

Geography

AS

American Samoa

Country

Geography

AT

Austria

Country

Geography

AU

Australia

Country

Geography

AW

Aruba

Country

Geography

AX

Aland Islands

Country

Geography

AZ

Azerbaijan

Country

Geography

BA

Bosnia And Herzegovina

Country

Geography

BB

Barbados

Country

Geography

BD

Bangladesh

Country

Geography

BE

Belgium

Country

Geography

BF

Burkina Faso

Country

Geography

BG

Bulgaria

Country

Geography

BH

Bahrain

Country

Geography

BI

Burundi

Country

Geography

BJ

Benin

Country

Geography

BL

Saint Barthelemy

Country

Geography

BM

Bermuda

Country

Geography

BN

Brunei Darussalam

Country

Geography

BO

Bolivia, Plurinational State Of

Country

Geography

BQ

Bonaire, Saint Eustatius And Saba

Country

Geography

BR

Brazil

Country

Geography

BS

Bahamas

Country

Geography

BT

Bhutan

Country

Geography

BV

Bouvet Island

Country

Geography

BW

Botswana

Country

Geography

BY

Belarus

Country

Geography

BZ

Belize

Country

Geography

CA

Canada

Country

Geography

CC

Cocos  Islands

Country

Geography

CD

Congo, The Democratic Republic Of The

Country

Geography

CF

Central African Republic

Country

Geography

CG

Congo

Country

Geography

CH

Switzerland

Country

Geography

CI

Cote D'ivoire

Country

Geography

CK

Cook Islands

Country

Geography

CL

Chile

Country

Geography

CM

Cameroon

Country

Geography

CN

China

Country

Geography

CO

Colombia

Country

Geography

CR

Costa Rica

Country

Geography

CU

Cuba

Country

Geography

CV

Cape Verde

Country

Geography

CW

Curacao

Country

Geography

CX

Christmas Island

Country

Geography

CY

Cyprus

Country

Geography

CZ

Czech Republic

Country

Geography

DE

Germany

Country

Geography

DJ

Djibouti

Country

Geography

DK

Denmark

Country

Geography

DM

Dominica

Country

Geography

DO

Dominican Republic

Country

Geography

DZ

Algeria

Country

Geography

EC

Ecuador

Country

Geography

EE

Estonia

Country

Geography

EG

Egypt

Country

Geography

EH

Western Sahara

Country

Geography

ER

Eritrea

Country

Geography

ES

Spain

Country

Geography

ET

Ethiopia

Country

Geography

FI

Finland

Country

Geography

FJ

Fiji

Country

Geography

FK

Falkland Islands

Country

Geography

FM

Micronesia, Federated States Of

Country

Geography

FO

Faroe Islands

Country

Geography

FR

France

Country

Geography

GA

Gabon

Country

Geography

GB

United Kingdom

Country

Geography

GD

Grenada

Country

Geography

GE

Georgia

Country

Geography

GF

French Guiana

Country

Geography

GG

Guernsey

Country

Geography

GH

Ghana

Country

Geography

GI

Gibraltar

Country

Geography

GL

Greenland

Country

Geography

GM

Gambia

Country

Geography

GN

Guinea

Country

Geography

GP

Guadeloupe

Country

Geography

GQ

Equatorial Guinea

Country

Geography

GR

Greece

Country

Geography

GS

South Georgia And The South Sandwich Islands

Country

Geography

GT

Guatemala

Country

Geography

GU

Guam

Country

Geography

GW

Guinea-bissau

Country

Geography

GY

Guyana

Country

Geography

HK

Hong Kong

Country

Geography

HM

Heard Island And Mcdonald Islands

Country

Geography

HN

Honduras

Country

Geography

HR

Croatia

Country

Geography

HT

Haiti

Country

Geography

HU

Hungary

Country

Geography

ID

Indonesia

Country

Geography

IE

Ireland

Country

Geography

IL

Israel

Country

Geography

IM

Isle Of Man

Country

Geography

IN

India

Country

Geography

IO

British Indian Ocean Territory

Country

Geography

IQ

Iraq

Country

Geography

IR

Iran, Islamic Republic Of

Country

Geography

IS

Iceland

Country

Geography

IT

Italy

Country

Geography

JE

Jersey

Country

Geography

JM

Jamaica

Country

Geography

JO

Jordan

Country

Geography

JP

Japan

Country

Geography

KE

Kenya

Country

Geography

KG

Kyrgyzstan

Country

Geography

KH

Cambodia

Country

Geography

KI

Kiribati

Country

Geography

KM

Comoros

Country

Geography

KN

Saint Kitts And Nevis

Country

Geography

KP

Korea, Democratic People's Republic Of

Country

Geography

KR

Korea, Republic Of

Country

Geography

KW

Kuwait

Country

Geography

KY

Cayman Islands

Country

Geography

KZ

Kazakhstan

Country

Geography

LA

Lao People's Democratic Republic

Country

Geography

LB

Lebanon

Country

Geography

LC

Saint Lucia

Country

Geography

LI

Liechtenstein

Country

Geography

LK

Sri Lanka

Country

Geography

LR

Liberia

Country

Geography

LS

Lesotho

Country

Geography

LT

Lithuania

Country

Geography

LU

Luxembourg

Country

Geography

LV

Latvia

Country

Geography

LY

Libyan Arab Jamahiriya

Country

Geography

MA

Morocco

Country

Geography

MC

Monaco

Country

Geography

MD

Moldova, Republic Of

Country

Geography

ME

Montenegro

Country

Geography

MF

Saint Martin

Country

Geography

MG

Madagascar

Country

Geography

MH

Marshall Islands

Country

Geography

MK

Macedonia, The Former Yugoslav Republic Of

Country

Geography

ML

Mali

Country

Geography

MM

Myanmar

Country

Geography

MN

Mongolia

Country

Geography

MO

Macao

Country

Geography

MP

Northern Mariana Islands

Country

Geography

MQ

Martinique

Country

Geography

MR

Mauritania

Country

Geography

MS

Montserrat

Country

Geography

MT

Malta

Country

Geography

MU

Mauritius

Country

Geography

MV

Maldives

Country

Geography

MW

Malawi

Country

Geography

MX

Mexico

Country

Geography

MY

Malaysia

Country

Geography

MZ

Mozambique

Country

Geography

NA

Namibia

Country

Geography

NC

New Caledonia

Country

Geography

NE

Niger

Country

Geography

NF

Norfolk Island

Country

Geography

NG

Nigeria

Country

Geography

NI

Nicaragua

Country

Geography

NL

Netherlands

Country

Geography

NO

Norway

Country

Geography

NP

Nepal

Country

Geography

NR

Nauru

Country

Geography

NU

Niue

Country

Geography

NZ

New Zealand

Country

Geography

OM

Oman

Country

Geography

PA

Panama

Country

Geography

PE

Peru

Country

Geography

PF

French Polynesia

Country

Geography

PG

Papua New Guinea

Country

Geography

PH

Philippines

Country

Geography

PK

Pakistan

Country

Geography

PL

Poland

Country

Geography

PM

Saint Pierre And Miquelon

Country

Geography

PN

Pitcairn

Country

Geography

PR

Puerto Rico

Country

Geography

PS

Palestinian Territory, Occupied

Country

Geography

PT

Portugal

Country

Geography

PW

Palau

Country

Geography

PY

Paraguay

Country

Geography

QA

Qatar

Country

Geography

RE

Reunion

Country

Geography

RO

Romania

Country

Geography

RS

Serbia

Country

Geography

RU

Russian Federation

Country

Geography

RW

Rwanda

Country

Geography

SA

Saudi Arabia

Country

Geography

SB

Solomon Islands

Country

Geography

SC

Seychelles

Country

Geography

SD

Sudan

Country

Geography

SE

Sweden

Country

Geography

SG

Singapore

Country

Geography

SH

Saint Helena, Ascension And Tristan Da Cunha

Country

Geography

SI

Slovenia

Country

Geography

SJ

Svalbard And Jan Mayen

Country

Geography

SK

Slovakia

Country

Geography

SL

Sierra Leone

Country

Geography

SM

San Marino

Country

Geography

SN

Senegal

Country

Geography

SO

Somalia

Country

Geography

SR

Suriname

Country

Geography

ST

Sao Tome And Principe

Country

Geography

SV

El Salvador

Country

Geography

SX

Sint Maarten

Country

Geography

SY

Syrian Arab Republic

Country

Geography

SZ

Swaziland

Country

Geography

TC

Turks And Caicos Islands

Country

Geography

TD

Chad

Country

Geography

TF

French Southern Territories

Country

Geography

TG

Togo

Country

Geography

TH

Thailand

Country

Geography

TJ

Tajikistan

Country

Geography

TK

Tokelau

Country

Geography

TL

Timor-leste

Country

Geography

TM

Turkmenistan

Country

Geography

TN

Tunisia

Country

Geography

TO

Tonga

Country

Geography

TR

Turkey

Country

Geography

TT

Trinidad And Tobago

Country

Geography

TV

Tuvalu

Country

Geography

TW

Taiwan

Country

Geography

TZ

Tanzania, United Republic Of

Country

Geography

UA

Ukraine

Country

Geography

UG

Uganda

Country

Geography

UK

United Kingdom

Country

Geography

UM

United States Minor Outlying Islands

Country

Geography

US

United States

Country

Geography

UY

Uruguay

Country

Geography

UZ

Uzbekistan

Country

Geography

VA

Vatican City State

Country

Geography

VC

Saint Vincent And The Grenadines

Country

Geography

VE

Venezuela, Bolivarian Republic Of

Country

Geography

VG

Virgin Islands, British

Country

Geography

VI

Virgin Islands, U.S.

Country

Geography

VN

Vietnam

Country

Geography

VU

Vanuatu

Country

Geography

WF

Wallis And Futuna

Country

Geography

WS

Samoa

Country

Geography

YE

Yemen

Country

Geography

YT

Mayotte

Country

Geography

ZA

South Africa

Country

Geography

ZM

Zambia

Country

Geography

ZW

Zimbabwe

DMA

Geography

0

Unknown

DMA

Geography

250001

Ain, FRA

DMA

Geography

250002

Aisne, FRA

DMA

Geography

250003

Allier, FRA

DMA

Geography

250004

Alpes-De-Haute-Provence, FRA

DMA

Geography

250005

Hautes-Alpes, FRA

DMA

Geography

250006

Alpes-Maritimes, FRA

DMA

Geography

250007

Ardeche, FRA

DMA

Geography

250008

Ardennes, FRA

DMA

Geography

250009

Ariege, FRA

DMA

Geography

250010

Aube, FRA

DMA

Geography

250011

Aude, FRA

DMA

Geography

250012

Aveyron, FRA

DMA

Geography

250013

Bouches-Du-Rhone, FRA

DMA

Geography

250014

Calvados, FRA

DMA

Geography

250015

Cantal, FRA

DMA

Geography

250016

Charente, FRA

DMA

Geography

250017

Charente-Maritime, FRA

DMA

Geography

250018

Cher, FRA

DMA

Geography

250019

Correze, FRA

DMA

Geography

250020

Corse-Du-Sud, FRA

DMA

Geography

250021

Cote-D'or, FRA

DMA

Geography

250022

Cotes-D'armor, FRA

DMA

Geography

250023

Creuse, FRA

DMA

Geography

250024

Dordogne, FRA

DMA

Geography

250025

Doubs, FRA

DMA

Geography

250026

Drome, FRA

DMA

Geography

250027

Eure, FRA

DMA

Geography

250028

Eure-Et-Loir, FRA

DMA

Geography

250029

Finistere, FRA

DMA

Geography

250030

Gard, FRA

DMA

Geography

250031

Haute-Garonne, FRA

DMA

Geography

250032

Gers, FRA

DMA

Geography

250033

Gironde, FRA

DMA

Geography

250034

Herault, FRA

DMA

Geography

250035

Ille-Et-Vilaine, FRA

DMA

Geography

250036

Indre, FRA

DMA

Geography

250037

Indre-Et-Loire, FRA

DMA

Geography

250038

Isere, FRA

DMA

Geography

250039

Jura, FRA

DMA

Geography

250040

Landes, FRA

DMA

Geography

250041

Loir-Et-Cher, FRA

DMA

Geography

250042

Loire, FRA

DMA

Geography

250043

Haute-Loire, FRA

DMA

Geography

250044

Loire-Atlantique, FRA

DMA

Geography

250045

Loiret, FRA

DMA

Geography

250046

Lot, FRA

DMA

Geography

250047

Lot-Et-Garonne, FRA

DMA

Geography

250048

Lozere, FRA

DMA

Geography

250049

Maine-Et-Loire, FRA

DMA

Geography

250050

Manche, FRA

DMA

Geography

250051

Marne, FRA

DMA

Geography

250052

Haute-Marne, FRA

DMA

Geography

250053

Mayenne, FRA

DMA

Geography

250054

Meurthe-Et-Moselle, FRA

DMA

Geography

250055

Meuse, FRA

DMA

Geography

250056

Morbihan, FRA

DMA

Geography

250057

Moselle, FRA

DMA

Geography

250058

Nievre, FRA

DMA

Geography

250059

Nord, FRA

DMA

Geography

250060

Oise, FRA

DMA

Geography

250061

Orne, FRA

DMA

Geography

250062

Pas-De-Calais, FRA

DMA

Geography

250063

Puy-De-Dome, FRA

DMA

Geography

250064

Pyrenees-Atlantiques, FRA

DMA

Geography

250065

Haute-Pyrenees, FRA

DMA

Geography

250066

Pyrenees-Orientales, FRA

DMA

Geography

250067

Bas-Rhin, FRA

DMA

Geography

250068

Haut-Rhin, FRA

DMA

Geography

250069

Rhone, FRA

DMA

Geography

250070

Haute-Saone, FRA

DMA

Geography

250071

Saone-Et-Loire, FRA

DMA

Geography

250072

Sarthe, FRA

DMA

Geography

250073

Savoie, FRA

DMA

Geography

250074

Haute-Savoie, FRA

DMA

Geography

250075

Paris, FRA

DMA

Geography

250076

Seine-Maritime, FRA

DMA

Geography

250077

Seine-Et-Marne, FRA

DMA

Geography

250078

Yvelines, FRA

DMA

Geography

250079

Deux-Sevres, FRA

DMA

Geography

250080

Somme, FRA

DMA

Geography

250081

Tarn, FRA

DMA

Geography

250082

Tarn-Et-Garonne, FRA

DMA

Geography

250083

Var, FRA

DMA

Geography

250084

Vaucluse, FRA

DMA

Geography

250085

Vendee, FRA

DMA

Geography

250086

Vienne, FRA

DMA

Geography

250087

Haute-Vienne, FRA

DMA

Geography

250088

Vosges, FRA

DMA

Geography

250089

Yonne, FRA

DMA

Geography

250090

Territoire De Belfort, FRA

DMA

Geography

250091

Essonne, FRA

DMA

Geography

250092

Hauts-De-Seine, FRA

DMA

Geography

250093

Seine-Saint-Denis, FRA

DMA

Geography

250094

Val-De-Marne, FRA

DMA

Geography

250095

Val-D'oise, FRA

DMA

Geography

250096

Haute-Corse, FRA

DMA

Geography

500

Portland-Auburn, ME

DMA

Geography

501

New York, NY

DMA

Geography

502

Binghamton, NY

DMA

Geography

503

Macon, GA

DMA

Geography

504

Philadelphia, PA

DMA

Geography

505

Detroit, MI

DMA

Geography

506

Boston, MA

DMA

Geography

507

Savannah, GA

DMA

Geography

508

Pittsburgh, PA

DMA

Geography

509

Ft Wayne, IN

DMA

Geography

510

Cleveland, OH

DMA

Geography

511

Washington, DC

DMA

Geography

512

Baltimore, MD

DMA

Geography

513

Flint, MI

DMA

Geography

514

Buffalo, NY

DMA

Geography

515

Cincinnati, OH

DMA

Geography

516

Erie, PA

DMA

Geography

517

Charlotte, NC

DMA

Geography

518

Greensboro, NC

DMA

Geography

519

Charleston, SC

DMA

Geography

520

Augusta, GA

DMA

Geography

521

Providence, RI

DMA

Geography

522

Columbus, GA

DMA

Geography

523

Burlington, VT

DMA

Geography

524

Atlanta, GA

DMA

Geography

525

Albany, GA

DMA

Geography

526

Utica-Rome, NY

DMA

Geography

527

Indianapolis, IN

DMA

Geography

528

Miami, FL

DMA

Geography

529

Louisville, KY

DMA

Geography

530

Tallahassee, FL

DMA

Geography

531

Tri-Cities, TN

DMA

Geography

532

Albany-Schenectady-Troy, NY

DMA

Geography

533

Hartford, CT

DMA

Geography

534

Orlando, FL

DMA

Geography

535

Columbus, OH

DMA

Geography

536

Youngstown-Warren, OH

DMA

Geography

537

Bangor, ME

DMA

Geography

538

Rochester, NY

DMA

Geography

539

Tampa, FL

DMA

Geography

540

Traverse City-Cadillac, MI

DMA

Geography

541

Lexington, KY

DMA

Geography

542

Dayton, OH

DMA

Geography

543

Springfield-Holyoke, MA

DMA

Geography

544

Norfolk-Portsmouth, VA

DMA

Geography

545

Greenville-New Bern-Washington, NC

DMA

Geography

546

Columbia, SC

DMA

Geography

547

Toledo, OH

DMA

Geography

548

West Palm Beach, FL

DMA

Geography

549

Watertown, NY

DMA

Geography

550

Wilmington, NC

DMA

Geography

551

Lansing, MI

DMA

Geography

552

Presque Isle, ME

DMA

Geography

553

Marquette, MI

DMA

Geography

554

Wheeling, WV

DMA

Geography

555

Syracuse, NY

DMA

Geography

556

Richmond-Petersburg, VA

DMA

Geography

557

Knoxville, TN

DMA

Geography

558

Lima, OH

DMA

Geography

559

Bluefield-Beckley-Oak Hill, WV

DMA

Geography

560

Raleigh-Durham, NC

DMA

Geography

561

Jacksonville, FL

DMA

Geography

563

Grand Rapids, MI

DMA

Geography

564

Charleston-Huntington, WV

DMA

Geography

565

Elmira, NY

DMA

Geography

566

Harrisburg-Lancaster-Lebanon-York, PA

DMA

Geography

567

Greenville-Spartenburg, SC

DMA

Geography

569

Harrisonburg, VA

DMA

Geography

570

Florence-Myrtle Beach, SC

DMA

Geography

571

Ft Myers, FL

DMA

Geography

573

Roanoke-Lynchburg, VA

DMA

Geography

574

Johnstown-Altoona, PA

DMA

Geography

575

Chattanooga, TN

DMA

Geography

576

Salisbury, MD

DMA

Geography

577

Wilkes Barre-Scranton, PA

DMA

Geography

581

Terre Haute, IN

DMA

Geography

582

Lafayette, IN

DMA

Geography

583

Alpena, MI

DMA

Geography

584

Charlottesville, VA

DMA

Geography

588

South Bend, IN

DMA

Geography

592

Gainesville, FL

DMA

Geography

596

Zanesville, OH

DMA

Geography

597

Parkersburg, WV

DMA

Geography

598

Clarksburg-Weston, WV

DMA

Geography

600

Corpus Christi, TX

DMA

Geography

602

Chicago, IL

DMA

Geography

603

Joplin-Pittsburg, MO

DMA

Geography

604

Columbia-Jefferson City, MO

DMA

Geography

605

Topeka, KS

DMA

Geography

606

Dothan, AL

DMA

Geography

609

St Louis, MO

DMA

Geography

610

Rockford, IL

DMA

Geography

611

Rochester-Mason City-Austin, MN

DMA

Geography

612

Shreveport, LA

DMA

Geography

613

Minneapolis-St Paul, MN

DMA

Geography

616

Kansas City, MO

DMA

Geography

617

Milwaukee, WI

DMA

Geography

618

Houston, TX

DMA

Geography

619

Springfield, MO

DMA

Geography

620

Tuscaloosa, AL

DMA

Geography

622

New Orleans, LA

DMA

Geography

623

Dallas-Fort Worth, TX

DMA

Geography

624

Sioux City, IA

DMA

Geography

625

Waco-Temple-Bryan, TX

DMA

Geography

626

Victoria, TX

DMA

Geography

627

Wichita Falls, TX

DMA

Geography

628

Monroe, LA

DMA

Geography

630

Birmingham, AL

DMA

Geography

631

Ottumwa-Kirksville, IA

DMA

Geography

632

Paducah, KY

DMA

Geography

633

Odessa-Midland, TX

DMA

Geography

634

Amarillo, TX

DMA

Geography

635

Austin, TX

DMA

Geography

636

Harlingen, TX

DMA

Geography

637

Cedar Rapids-Waterloo, IA

DMA

Geography

638

St Joseph, MO

DMA

Geography

639

Jackson, TN

DMA

Geography

640

Memphis, TN

DMA

Geography

641

San Antonio, TX

DMA

Geography

642

Lafayette, LA

DMA

Geography

643

Lake Charles, LA

DMA

Geography

644

Alexandria, LA

DMA

Geography

646

Anniston, AL

DMA

Geography

647

Greenwood-Greenville, MS

DMA

Geography

648

Champaign-Springfield-Decatur, IL

DMA

Geography

649

Evansville, IN

DMA

Geography

650

Oklahoma City, OK

DMA

Geography

651

Lubbock, TX

DMA

Geography

652

Omaha, NE

DMA

Geography

656

Panama City, FL

DMA

Geography

657

Sherman, TX

DMA

Geography

658

Green Bay-Appleton, WI

DMA

Geography

659

Nashville, TN

DMA

Geography

661

San Angelo, TX

DMA

Geography

662

Abilene-Sweetwater, TX

DMA

Geography

669

Madison, WI

DMA

Geography

670

Ft Smith-Fay-Springfield, AR

DMA

Geography

671

Tulsa, OK

DMA

Geography

673

Columbus-Tupelo-West Point, MS

DMA

Geography

675

Peoria-Bloomington, IL

DMA

Geography

676

Duluth, MN

DMA

Geography

678

Wichita, KS

DMA

Geography

679

Des Moines, IA

DMA

Geography

682

Davenport-Rock Island-Moline, IL

DMA

Geography

686

Mobile, AL

DMA

Geography

687

Minot-Bismarck-Dickinson, ND

DMA

Geography

691

Huntsville, AL

DMA

Geography

692

Beaumont-Port Author, TX

DMA

Geography

693

Little Rock-Pine Bluff, AR

DMA

Geography

698

Montgomery, AL

DMA

Geography

702

La Crosse-Eau Claire, WI

DMA

Geography

705

Wausau-Rhinelander, WI

DMA

Geography

709

Tyler-Longview, TX

DMA

Geography

710

Hattiesburg-Laurel, MS

DMA

Geography

711

Meridian, MS

DMA

Geography

716

Baton Rouge, LA

DMA

Geography

717

Quincy, IL

DMA

Geography

718

Jackson, MS

DMA

Geography

722

Lincoln-Hastings, NE

DMA

Geography

724

Fargo-Valley City, ND

DMA

Geography

725

Sioux Falls, SD

DMA

Geography

734

Jonesboro, AR

DMA

Geography

736

Bowling Green, KY

DMA

Geography

737

Mankato, MN

DMA

Geography

740

North Platte, NE

DMA

Geography

743

Anchorage, AK

DMA

Geography

744

Honolulu, HI

DMA

Geography

745

Fairbanks, AK

DMA

Geography

746

Biloxi-Gulfport, MS

DMA

Geography

747

Juneau, AK

DMA

Geography

749

Laredo, TX

DMA

Geography

751

Denver, CO

DMA

Geography

752

Colorado Springs, CO

DMA

Geography

753

Phoenix, AZ

DMA

Geography

754

Butte-Bozeman, MT

DMA

Geography

755

Great Falls, MT

DMA

Geography

756

Billings, MT

DMA

Geography

757

Boise, ID

DMA

Geography

758

Idaho Falls-Pocatello, ID

DMA

Geography

759

Cheyenne, WY

DMA

Geography

760

Twin Falls, ID

DMA

Geography

762

Missoula, MT

DMA

Geography

764

Rapid City, SD

DMA

Geography

765

El Paso, TX

DMA

Geography

766

Helena, MT

DMA

Geography

767

Casper-Riverton, WY

DMA

Geography

770

Salt Lake City, UT

DMA

Geography

771

Yuma, AZ

DMA

Geography

773

Grand Junction, CO

DMA

Geography

789

Tucson, AZ

DMA

Geography

790

Albuquerque, NM

DMA

Geography

798

Glendive, MT

DMA

Geography

800

Bakersfield, CA

DMA

Geography

801

Eugene, OR

DMA

Geography

802

Eureka, CA

DMA

Geography

803

Los Angeles, CA

DMA

Geography

804

Palm Springs, CA

DMA

Geography

807

San Francisco, CA

DMA

Geography

810

Yakima-Pasco, WA

DMA

Geography

811

Reno, NV

DMA

Geography

813

Medford-Klamath Falls, OR

DMA

Geography

819

Seattle-Tacoma, WA

DMA

Geography

820

Portland, OR

DMA

Geography

821

Bend, OR

DMA

Geography

825

San Diego, CA

DMA

Geography

826001

Anglia, GBR

DMA

Geography

826002

Border, GBR

DMA

Geography

826003

Central, GBR

DMA

Geography

826004

Granada, GBR

DMA

Geography

826005

London, GBR

DMA

Geography

826006

Meridian, GBR

DMA

Geography

826007

Stv North (grampian), GBR

DMA

Geography

826008

Tyne Tees, GBR

DMA

Geography

826009

Utv, GBR

DMA

Geography

826010

Wales And West, GBR

DMA

Geography

826011

Westcountry, GBR

DMA

Geography

826012

Yorkshire, GBR

DMA

Geography

826013

Anglia/Central, GBR

DMA

Geography

826014

Anglia/London, GBR

DMA

Geography

826015

Anglia/Yorkshire, GBR

DMA

Geography

826016

Border/Granada, GBR

DMA

Geography

826017

Stv Central (scottish), GBR

DMA

Geography

826018

Border/Tyne Tees, GBR

DMA

Geography

826021

Central/Granada, GBR

DMA

Geography

826022

Central/London, GBR

DMA

Geography

826023

Central/Wales And West, GBR

DMA

Geography

826024

Central/Yorkshire, GBR

DMA

Geography

826025

Granada/Wales And West, GBR

DMA

Geography

826026

Granada/Yorkshire, GBR

DMA

Geography

826027

London/Meridian, GBR

DMA

Geography

826028

Meridian/Wales And West, GBR

DMA

Geography

826029

Meridian/Westcountry, GBR

DMA

Geography

826030

Tyne Tees/Yorkshire, GBR

DMA

Geography

826031

Wales And West/Westcountry, GBR

DMA

Geography

826032

Stv North/Stv Central, GBR

DMA

Geography

826033

STV North

DMA

Geography

826034

STV North

DMA

Geography

826035

UTV

DMA

Geography

826036

ITV Channel Television

DMA

Geography

826037

ITV Border

DMA

Geography

826038

ITV Tyne Tees

DMA

Geography

826039

ITV Yorkshire

DMA

Geography

826040

ITV Granada

DMA

Geography

826041

ITV Wales

DMA

Geography

826042

ITV Central

DMA

Geography

826043

ITV Anglia

DMA

Geography

826044

ITV London

DMA

Geography

826045

ITV Meridian

DMA

Geography

826046

ITV Westcountry

DMA

Geography

826047

ITV West

DMA

Geography

828

Monterey-Salinas, CA

DMA

Geography

839

Las Vegas, NV

DMA

Geography

855

Santa Barbara, CA

DMA

Geography

862

Sacramento, CA

DMA

Geography

866

Fresno, CA

DMA

Geography

868

Chico-Redding, CA

DMA

Geography

881

Spokane, WA


Settings & Trends

By clicking on any cell (via either view), users can see settings and data trends for every attribute over the last 18 months. Users can also compare trends across many metrics including impressions, spend, CVR lift, average CPM, and more.

  1. To view Trends, click any cell to open the Settings & Trends pane.

  2. Toggle the Trends tab to refine the trend data. 

  3. Select Metrics to compare in the graph.

  4. Select the Time Range

Sort

Click on the Column headers to sort the attributes based on these metrics. This can provide valuable insights, such as: 

  • Sort by an “Incremental” column to see which attribute has most potential impact on conversion/click volume, as opposed to largest difference in response rate.

  • Sort by an “% of Impressions” column metric to see which attributes had the most/least delivery against them while simultaneously looking at additional metrics.

  • Sort by a “% of Alien Views” column to see which attributes had the most/least potential delivery against them (bid opportunities) while simultaneously looking at additional metrics.

Export

Click Export to create a CSV file of your report. To see a sample Top Insights export, click here.

NOTE

Currently, exporting is only available for Data View. We are working to add a Visualization View export in Q2 2020. 

FAQ

 How recent is the data in Top Insights? 

There are two relevant points needed to understand the availability of data in this report:

  • The DSP provides data for this report on each Sunday. 

  • The report must have data for a least 7 days before it will show any data. 

Thus, the Top Insights report will be available for your campaign on the first Monday that occurs after the campaign has been live for 7 consecutive days.  For example, if you begin a campaign on Tuesday, March 1st, the report will not show data until Monday, March 14th. This is because the campaign must run for 7 consecutive days (March 1 to March 8), and and then wait for the next Sunday (March 13) to compile the data. In this scenario, the data compiled on March 13th will include all data from March 1 to March 13.


 Is there a date range limitation in Top Insights?

Top Insights can display data for up to 18 preceding months.


 What are the minimum data thresholds?

The following table shows the minimum amount of data that must be recorded for this report to render any data.

Daily Minimums

Weekly Minimums

First-party Insights: 100 impressions

Alien Insights: 400 impressions

First-party Insights: 5,000 impressions, 8 clicks, and 4 conversions

Alien Insights: 20,000 impressions and 5 conversions



 What does the term 'alien' refer to?

'Alien' refers to anything that is associated in some way to third-party data, meaning it is not purely our own data. For example, Zeta can calculate the number of impressions we served, but we would need third-party data to tell us how many of those impressions were served to males aged 25-34. While all impressions are delivered by Zeta during the campaign, there is no such thing as an 'alien impression’, rather there are 'alien insights' that are derived from our impressions.


 What about the other buttons on the page?

There are a few quirks in the Top Insights page that we are addressing this year. 

The first is the Feedback button:  This button does not work. If you have feedback you'd like to share, please reach out to DSP Support. 

The second is the +Insight button:  This button does not work, but if you press it you will get an error. 

Grid Column Selection button:  This button does work, but the ability to refine selections is not complete.