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. 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.
Campaign baseline is calculated with the general formula: Campaign baseline can clarify further for each available lift metrics:
Impression Conversion Rate Lift = Total attributed campaign conversions / Total campaign impressions
Alien Conversion Rate Lift = Total observed campaign conversions / Total bid opportunities
Click-Through Rate Lift = Total campaign clicks / Total campaign impressions
CPA Lift = Total spend / Total attributed conversions
Navigation
1. Click on the action menu beside the DSP logo in the upper left corner. Within the menu that appears for Advertisers and Admin, select theAccountthat contains your advertiser, and then select your Advertiser.
2. As the Advertiser’s campaigns are displayed, select the campaign you would like to view from the list.
3. With the campaign open, click on the breadcrumb menu atop the page and select Manage > Campaign Analytics>Top Insights.
Adjust Top Insights
There are 5 ways to adjust your view of data reflected on the Top Insights page:
Adjust the Parameters.
Adjust the Lift Range.
Adjust the Data VisualizationOptions.
Adjust the Displayed Attributes.
Adjust the number of Rows Per Page.
Parameters
Expand the Parameters pane to 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.
Points to remember:
If a campaign is ingesting just Conversions from an External Report, then "From: All Sources" should be selected when pulling data against Converters. "From: DSP Impressions" can be used in this scenario when pulling data against Clickers
Vice versa, if a campaign is ingesting just Clicks from an External Report, then "From: All Sources" should be selected when pulling data against Clickers. "From: DSP Impressions" can be used in this scenario when pulling data against Converters
If a campaign is ingesting both Conversions and Clicks from an External Report, then "From: All Sources" should be selected in all cases when pulling a Top Insights report
Lift Range
Expand the Lift Range pane and input the minimum and maximum displayed values. Any attribute that falls outside the specified range will be hidden.
Use the Exclude Specified Lift Range toggle to either include or exclude the min and max range specified.
Data Visualization
Expand 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 on the All Features dropdown at the upper-left corner to select a specific Feature of attributes to display. Select All Features to show all attributes in all Features.
2. 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
You can adjust the number of rows shown on a single page.
Located at the bottom-right of the page, the options include viewing 25 per page, 50 per page, 100 per page, or All.
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 a 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. The 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 indicate our confidence spread spans over the positive and negative threshold.
Stop Scrolling!
Click on 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
Available Views
There are two views on 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 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 determine 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.
Top Insights contains geographic data for 249 Countries and 353 DMAs from France, the United States, and Great Britain. These locations will appear in the Attribute column via their unique identifier.
Two known exceptions are:
If the campaign currency is AUD (Australian Dollars):
WA = Western Australia
NS = New South Wales
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), you can see settings and data trends for every attribute over the last 18 months. u 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 theTrends 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 the most potential impact on conversion/click volume, as opposed to the 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 on Export to create a CSV file of your report. To see a sample Top Insights export, click here.
Currently, exporting is only available for Data View. We are working to add a Visualization View export in Q2 2020.
JavaScript errors detected
Please note, these errors can depend on your browser setup.
If this problem persists, please contact our support.
