What is Adloop?

Adloop is a data marketing hub and, at the same time, a set of features designed to make digital marketing professionals' lives easier.


It all starts with data

Adloop does not collect data itselft, but we are retrieving data from external sources such as :

• Your Ad Platforms , that provide data generally called Ad-Centric : impressions, clicks, ad spends, ad name, campaign type etc..

• Your Analytics tool feed Adloop with behavioural data on your websites and your apps ( Site-Centric data) : pageviews, add to cart, account creation, purchase, sources of traffic etc.

• Your CRM or transactionnal apps, used for identifying clients or prospects, communicating with them, knowing what they bought etc. This is User-Centric data.

0d48fb58-907b-4e9f-a908-0e9372c035d6DECIDEDbc6e6512-26fe-45f4-b6ac-9a89e8b11a77The Data Source Adloop Tracking & Attribution will collect data that are specific to Adloop. It must be activated in order to enjoy the Attribution and Recommendations features.

• The Data Source Adloop Tracking & Attribution will collect data that are specific to Adloop. It must be activated in order to enjoy the Attribution and Recommendations features.

All those data are sent to Adloop thanks to API data connections without any manual intervention.

To connect a Data Source to Adloop, go to the Data Sources menu!

Introducing Adloop

https://www.youtube.com/watch?time_continue=2&v=UTmafJrDreU&feature=emb_logo

• Create a performance report of the channel (and/or campaign) with chosen performance indicators

• This report can be sent to you by email on a regular basis

• Create a dashboard

• [[Share the dashboard|Reports-saving-&-sharing-system]]

• [[Create a graph report|Chart-reports]]

• Email or Instant Message notifications

[[|Table-reports]][[|Filters]][[|Comparison]][[|Use-Analytics-&-Attribution-KPI]][[|Use-Analytics-&-Attribution-KPI]]

• Dashboard for… dashboarding!

• Performances to see my data in a table

• Graph to see trends & repartition

• [[Cycles|Cycle-reports-(Premium)]] to analyse the position of an element in a path to conversion (only with Attribution!)

• Use the templates

• [[Create your report from scratch|III---Adloop-reports-system-📈]]

• Understand the dimensions in Adloop

• Understand the metrics in Adloop

• Channel overview with main KPI

• Keywords with 0 conversions

• Social Ads with CPC higher than the desired threshold

[[|Keep-an-eye-on-my-advertising-data]][[|Analyze-my-ads-performances]][[|Improve-my-reporting]][[|Create-a-dashboard]][[|Optimize-my-digital-marketing-campaigns]][[|Keep-an-eye-on-my-campaigns-(without-connecting-to-Adloop)]]

Don’t forget that adding data sources to Adloop is mandatory!

[[|Dashboard]][[|Reports-saving-&-sharing-system]][[|Export-Destinations]]

[[|Advanced-Alerts]][[|Real-time-notifications-(premium)-(depleted)]][[|Exports]]

[[|6-key-functions-of-Adloop]][[|Workspace-and-Sites]][[|Users-and-Administrators]][[|Overview-of-Data-available-in-Adloop]]

[[|D--Attribution-KPI-for-marketing-optimization]][[|Attributed-conversions-&-revenue]][[|Useful-clicks-1]]

[[|Cycle-reports-(Premium)]][[|Channel-affinity-(Premium)]][[|Path-Explorer-(Premium)]][[|Order-ID-(Premium)]]

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.

CONNECT : Everything starts with a Data Source

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.

ANALYZE : A powerful reports system

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.

ATTRIBUTE: Data-driven marketing attribution

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.

DISTRIBUTE : feeding external apps data

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.

NOTIFY : For informed and reactive teams

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 .

MANAGE : A global management of the marketing data

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.

Data structure in Adloop

The data structure of Adloop is organized in two layers:

1. The Workspace , accessible at an address such as https://company.adloop.co

2. 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.

Workspace

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.

Billing Unit

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 ).

Sites

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 .

Users in Adloop

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.

Details of user rights in Adloop

A small synthetic diagram to understand

Hi, I'm Adloop!

Let's try to explain this simply.

A. For starters we import data from Data Sources

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).

B. We then make a Normalization to simplify the reading

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

C. Matching or how to make sure that the Ad and Analytics or Adloop Source understand each other

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:

D. Attribution ( function) for optimal quality indicators

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.

E. Data is available for use

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]]