A small synthetic diagram to understand
Hi, I'm Adloop!
Let's try to explain this simply.
You set the API connectors in Data Sources that will retrieve information from the Ad Platforms and Analytics.
First we retrieve 1 year of data and then every day we add fresh data.
The 'raw' data retrieved from the platforms is stored and identified by the small logo of the Data Source and a name. An example for the metrics :
Impressions: these are the Impressions retrieved from Google Ads
Conversions: the conversions indicated by Facebook Ads
It's the same for the Dimensions from the Data Sources :
Campaign name: identifies the name of the campaigns Google Ads
Name of the ad: the ads from Facebook Ads
noteAt this point, we have just retrieved the information from the data sources without changing anything. A kind of copy and paste of what is in the platforms (but without manual intervention).
At this point, we have just retrieved the information from the data sources without changing anything. A kind of copy and paste of what is in the platforms (but without manual intervention).
As you operate many marketing channels, you will import a lot of data. Now it happens that some Dimensions or Metrics are common to several Data Sources .
For example, we have Impressions in Google Ads and Facebook Ads, as well as Clicks, for the distribution costs (called Ad spend in Adloop). The same goes for campaign names, ad names, etc.
We therefore operate a Normalization to arrange Dimensions or Metrics of the same nature in a common place.
Impressions
Impressions
| Normalized (copied) into :
Impressions
| | Dimensions :
Campaign name
Campaign name
| Normalize (copy) to:
Campaign name - SEA
|
This operation allows you to have several Variables of the same nature gathered in a single Variable, which considerably simplifies the reporting.
The origin of the normalized variables is indicated by two icons:
Advertising Sources ( etc.) are normalized in the Ad Centric, icon
Analytics Sources ( etc.) are normalized in the Site Centric, icon
And to complete the explanation, Adloop specific Variables are illustrated by the icon
Adloop's goal is to offer the most appropriate KPIs for all levels of campaign granularity. In order to match a campaign name coming from an Advertising Source with indicators coming from Analytics or Adloop, it is necessary to make sure that the two worlds recognize each other, this is the purpose of Matching .
As an example:
Let’s say I want to see the number of Sessions in my Data Source Facebook Ads
In Google Analytics, the Facebook channel is identified when the Source dimension is 'facebook' and the Medium dimension is 'paid social'.
Matching allows you to create this connection:
Adloop offers a Data-Driven Attribution feature that allows you to reconstruct the conversion and engagement paths of users and calculate attributed metrics and KPIs.
The Adloop Tracking & Attribution feature will generate many new metrics in Adloop, all of which will be identified by an icon. For example:
Conversions attr. (for Attributed Conversions)
Income attr. (for Attributed income)
etc.
Adloop's attribution functionality takes the form of a Data Source that needs to be activated and configured. A subscription to Adloop is required to activate it.
All data presented here is available for use in Reports , Exports and Notifications .
More information in the following sections:
[[ Dimensions |Dimensions-in-Adloop]]
[[ Metrics |Metrics-in-Adloop]]
[[ Matching |Matching]]
The data structure of Adloop is organized in two layers:
The Workspace , accessible at an address such as https://company.adloop.co
Sites (previously Datasets ) which contain data, reports, exports, notifications etc.
To put it simply, the Workspace is the company and the Sites represent the brands or markets.
An example with an emblematic brand: Apple (Tim, if you are reading this...): the Workspace will be https://apple.adloop.co and the Sites: Apple France, Apple US, Apple UK - in which we will look at campaign info on these markets.
The Adloop Account of a company
An Adloop Workspace allows a Company to manage all of its markets or an Agency to manage some of its customers.
It is created by an Administrator through the available creation processes (Free Trial, Token sent by Adloop, ...).
An Adloop Workspace login address is always following this model : https://company.adloop.co . The subdomain (host) ' company ' is freely chosen by the user who creates it.
The Workspace is the Adloop billing unit: the duration of access rights and subscriptions are active for all Sites .
When the Subscription is terminated: an error message will be displayed when attempting to connect to the Workspace and access will no longer be possible unless renewed.
If the monthly Ad Spend amount of the Subscription is reached during the month, access will still be possible but the Data Source APIs will pause until the beginning of the next month. An informational email will be sent to the Administrator and an error message will be displayed for all Users .
The Ad Spend amount of the workspace can be found in the Sites section ( the total amount is only accessible to the Administrators ).
The Site contains the data from the Data Sources you have connected and all of Adloop's functionality on that data (Reports, Exports, Notifications etc.).
The list of Sites you have access to in the current Workspace is shown in the top left menu as shown below:
Sites are completely 'watertight' between each other: a User or an Administrator can have access to one Site but not another within the same Workspace .
Adloop is a marketing data storage unit with a set of functionnalities here to help digital marketers' everydays' life.
For better clarity, we have ranked Adloop functionnalities in 6 broad categories.
Adloop does not collect data directly, it feeds itself from external Data sources which are :
Your Ad platforms which give you data that we usually call Ad-Centric : Impressions, clicks, ad names, campaign types, etc.
Your Analytics tools feeding Adloop in users behavior’s data on your sites and apps (Site-Centric data) : Pages viewed, add to the basket, account setup, purchase, visits demographic, etc.
Your CRM or business apps used to identify clients or prospects, communicate with them, know what they bought, etc. That is User-Centric .
All those data are sent to Adloop via API data connectors which are updated automatically every 3 hours.
To connect a Data Source to Adloop, go check out the Data Source page.
Have you ever dreamed of being able to analyzing all your Platforms, Analytics and Attributed data in one single place ? Are you a wonderful analyst who wants to see 5 UTM then 12 metrics or KPIs in one single report ? You are getting tired or doing copy-paste in Excel to compare your Google Ads and Facecook Ads campaigns ?
Adloop is going to be your best friend!
To be more efficient, we put at your disposal a set of reports templates . You can save them, share them with your team or simply look at shared reports.
noteTo analyze data, go check out the Reports page.
To analyze data, go check out the Reports page.
Years of R&D to offer you the best attribution algorithm on the market. Data-driven and based on users behavior analysis, the Adloop Tracking & Attribution technology is going to put together the conversion paths (or non conversion paths) and build several reports based on those :
Conversions and revenues attributed with all KPIs related to the conversion : Attributed CPA, attributed ROAS…
Complete conversion path linked with order ID
Most frequent conversion path with a search system to identify winning scenarios.
Recommendations of calculated actions for each ad updated in real time
fc6c24c9-aa5f-4d09-9f6a-0218406d80362ba761d4-dd38-4dca-9cc8-a5bbdc974848DECIDEDThe Data Source Adloop Tracking & Attribution collect specific data from Adloop. It has to be activated and set up to be able to use the Attribution and the Recommandations tools.
The Data Source Adloop Tracking & Attribution collect specific data from Adloop. It has to be activated and set up to be able to use the Attribution and the Recommandations tools.
A data-extract system allowing to feed external systems in real time.
With DISTRIBUTE, no need to lose time doing copy-paste or looking for data in various platforms, everything is automatized .
Export destinations' connectors make possible to send data :
By mail, FTP or shared storages like Google Drive
To Data visualization apps like Google Data Studio , Tableau , or Power BI
To Datamarts like Google Big Query , AWS , Azure or Snowflake
Distribute the metrics and KPIs that you need in real time using our Export center.
You always need to be notified about your campaigns without the burden of login to the ad plaforms or to Analytics tools? NOTIFY allows you to create alarms on whichever Data sources with whichever KPIs you need and to send them to yourself by mail or on any messaging app you want like Slack , Google Chat or MS Teams .
Set up the notifications and keep your teams informed and alert with the Notification center .
To organize your data menus as you want, to create matching rules between platforms and Analytics tools, to define calculated metrics that are specific to your activity, Adloop will offer you a simple interface to manage your data.
There are 3 levels of access in Adloop: User, Dataset Administrator and Responsible Administrator.
User : Has access to the Datasets to which they have been invited and can use the Reporting, Export and Notifications features. However, they cannot create Data Sources or Destinations or manage data or act on other Users.
Dataset Administrator : has full access to all features in the Dataset(s) for which he is the Administrator. He can create new Users or Administrators in the context of the Dataset.
Main Administrator : has full access to the entire Workspace for which he is responsible. He manages the billing and can create new Datasets.
[[|6-key-functions-of-Adloop]][[|Workspace-and-Sites]][[|Users-and-Administrators]][[|Overview-of-Data-available-in-Adloop]]
Source variable
Normalized Variable
The metrics :
Impressions
Functionalities
Users
Dataset Administrator
Main Administrator
REPORTS
Saved reports
New reports
DATA MANAGEMENT
Data sources
Metrics and KPIs
Dimensions
Matching
EXPORT CENTER
Exports
Export destination
NOTIFICATION CENTER
Notifications
Notification destination
ADMINISTRATION
Users
Datasets
Subscribing / Billing
