Overview

We’re exploring ways to surface ‘signals’ in your data that could be useful in identifying higher value, more actionable leads.

This dashboard provides an enterprise-level holistic view of companies engaged across multiple Advertisers, Campaigns, Countries, Job Titles and Assets.

Full description of all visuals at the bottom of the page.

 

Controls

Here you can filter the data by time frame (max 24 months), Advertiser, Publisher, Campaigns, Lead Status, Billable, Lead Source and Company. Users can also not display visuals for fields without data using the Show/Hide Missing Values filter.

 

Visuals

The top visuals contain options for three fields: Industry, Country, Company Size and Job Level.

these visuals use the fields below

Industry

industry

 

Country

country

country_code

 

Company Size

company_size	companysize	number_employees
employee_size	employees	number_of_employees

 

Job Level

job_level__c

joblevel

job_level

Based on your selection the data will then be filtered accordingly:

 

 

In the dropdown, you can choose the order of the visuals

Each visual has controls to display the data in different formats. Users can select from Bar or Donut visuals.

Users can also choose between selecting the Number of leads (No.of leads) or the percentage (% of Leads).

 

No.of leads	% of Leads

 

Donut Visual

Users can also configure the number of options in the visual for example: 10 to 20

 

Example 10	Example 20

 

Show/Hide filter

Users can also configure to show or hide empty visuals

Show	Hide

 

Breakdown of all leads from all companies or a specific one

Fields used:

company_name	company	companyname
account_name

 

The visual below represents the number of leads that have come from a particular company/domain and the number of occurrences (per day week etc) over the date range selected.

 

Based on your selection the data will then be filtered accordingly:

 

Visuals Data Breakdowns

Note: These visuals for Company, Job Title, Assets and Campaigns below all interact with each other to allow the user to filter the data to their needs.

 

Breakdown of job titles across the data selected

Fields used:

jobtitle

job_title

job title

• Leads = Number of leads with that job title
• Unique Email = Number of unique instances of that email

Note: Users may use this visual to determine the variety of job titles engaging with a particular company/domain

 

Breakdown of Assets across the data selected

Fields used:

asset_downloaded__c	asset_name	Asset
asset_downloaded	asset	assetname
whitepapername	description

 

• Leads = Number of leads with that Asset
• Unique Email = Number of unique instances of that email

Note: Users may use this visual to gain insight into which types of assets are performing with a particular job title/company/domain

 

Breakdown by campaign based on previous filters selected

This is broken down by Advertiser, Campaign and Publisher

• Leads = Number of leads with that Asset
• Unique Email = Number of unique instances of that email

Note: Users may use this visual to gain insight into which campaigns and what particular assets are performing well with a particular job title/company/domain

 

 

Detailed Breakdown of all visuals

Visual Title	Definition
Lead Status Filter	Accepted values: Valid, Invalid, Caution, Test and N/A
Billable	Accepted values: Yes, No
Lead Source Filter	Accepted values: campaign_api, connected_app_eloqua_cdo_create, connected_app_facebook, connected_app_google_ads, connected_app_linkedin, connected_app_marketo, connected_app_on24_attendee, connected_app_on24_registrant, convertr_connect, form, import, publisher_api_v2.1, publisher_api_v2.2, publisher_api_v2.3, publisher_api_v2.4
Company Filter	It is a combination of Email Doman and the company name fields listed below
Company Name	Fields used: 'company_name', 'company', 'companyname', account_name
Email Domain	Fields used: 'emaildomain'
Country	Fields used: 'country','country_code'
Job Title	Fields used: 'jobtitle', 'job_title', 'job title'
Asset	Fields used: 'asset_downloaded__c', 'asset_name', 'Asset', 'asset_downloaded', 'asset', 'assetname', 'whitepapername', 'description'
Industry	Fields used: 'industry'
Department	Fields used: 'department'
Company Size	Fields used: 'company_size','companysize', 'employees', 'number_employees', 'employee_size', number_of_employees
Job Level	Fields used: 'job_level__c', 'joblevel', 'job_level'