Version 1.2.14

Interface

• Timezone optimization

Data source

• Creating a transfer payment channel

Version 1.2.15

Interface

• Timezone optimization

Data source

• Creating a transfer payment channel

Version 1.2.16

Data source

• Adding Twitter metrics

• Adding Fcabeook metrics

Interface

• Display export destinations

Version 1.2.17

Data source

• Recurring import by email for custom data sources

Version 1.2.18

Data source

• Google Campaign Manager data source update

Version 1.2.19

Data sources

• Improving on Linkedin data source

• Improving on Twitter data source

Version 1.2.20

Data sources

• Improving on Facebook data source

• Improving on Twitter data source

• Improving on social organic channels

• Fetching additional metrics for Youtube connector

Version 1.2.21

Data sources

• Bug fixed for Facebook data source

Version 1.2.22

Data sources

• Redirection for Tiktok Data Source

Version 1.2.23

Data sources

• Improving Facebook custom metrics

Version 1.2.24

Data sources

• Adding Xandr connector

Report

• Optimizing normalised metrics

Version 1.2.26

Data sources

• Adding Pinterest connector

• Improving custom import with Google Analytics

Version 1.2.27

Data sources

• Bug fixed with Google Analytics import

Version 2.0.0

Interface

• New Dashboard

Version 2.0.1

Interface

• New Dashboard widget bug fixed

Report

• Improving metrics and dimensions display

Data Source

• Expanded Tiktok metrics

• New type of Google Campaign

[[@self|@self]]1

Version 1.1.9

Data sources

• Added Google Campaign Manager data source

• Added Twitter data source

• Modification of Facebook data source

Notifications

• Corrections on the frequency of sending notifications

• Corrections on the metrics selector

Version 1.1.10

Data sources

• Loading time optimization

Notifications

• Patch for threshold and change notifications

Version 1.1.11

Data sources

• Added Adloop Attribution (Legacy) data source

Version 1.1.12

Data sources

• Fixed Tik Tok data source

• Added currency management

Version 1.1.13

Export

• Fixed the email export of unsaved reports

Version 1.1.14

Data sources

• Improved Sanity Check

Version 1.1.15

Reports

• Fix on “0” value filter

• Fix on comparisons in the reports

Version 1.1.16

Reports

• Fix on multiple filters in the reports

Version 1.1.17

Data sources

• Added personalized conversions for the Google Search, Google Display, Google Shopping, Google YouTube and Facebook Ads data sources.

Version 1.1.18

Data sources

• Improved Sanity Check

Exports

• Fixed FTP/sFTP exports

Reports

• Improved the export email interface

Notifications

• Fixed notifications for the Google Shopping data source

Version 1.1.19

Data sources

• Fixed personalized conversions

Users

• Added subscription page

Everything you need to know

[[Start your Adloop discovery|I---Start-your-Adloop-discovery!]]

[[Quick start|Quick-start]]

[[Basic informations|Basic-informations]]

[[What’s new in Adloop’s world|0---What's-new-in-Adloop's-world--(changelog)]]

[[FAQ|FAQ]]

.png) Data sources

[[Data sources page|Data-Sources-page]]

[[Data Sources (Workflow)|Data-Sources-(Workflow)]]

[[Metrics & dimensions per data source|Metrics-&-dimensions-per-Data-Source]]

[[Data Quality|Data-Quality]]

[[Data destinations|Data-destinations-(Exports-or-Notifications)]]

[[Data Sources page|Data-Sources-page]]

[[Data Sources (Workflow)|Data-Sources-(Workflow)]]

[[Metrics & dimensions per data source|Metrics-&-dimensions-per-Data-Source]]

[[Data Quality|Data-Quality]]

[[Data destinations|Data-destinations-(Exports-or-Notifications)]]

.png) Data management

[[Data management|VI---Data-Management-📁]]

[[Dimensions management|Dimensions-management-page]]

[[Metrics management|Metrics-management-page]]

[[Matching|Matching]]

[[Marketing budgets|Marketing-budgets-(coming-soon)]]

.png) Exports

[[Export destinations|Export-Destinations]]

[[Exports|7---Exports]]

.png) Notifications

[[Notification destinations|Integrations]]

[[Notifications|8---Notifications]]

Popular topics

Need inspiration? Get a quick intro into what Adloop is and how to best use it at [[Start your Adloop disovery|Quick-start]].

Check out our guide for ideas on how to set up your [[dashboard|Dashboard]].

If starting from the beginning is daunting, try using one of our report templates.

Other ways of learning?If you are a visual learner dont worry we got you covered! Our video turorials will guide you through each step from setting up your dashboard to report creation and so on.

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

https://youtu.be/BiBYYhq1tPg

[[FAQ|FAQ]]

If you cannot find an answer to your question, you can use the chat or the contact in the Adloop interface. You can also simply send an email to support@adloop.co

Version 2.0.2

Interface

• Improving on new dashboard functions

• Optimizing interface

Report

• Optimizing metrics

• Improving

Exports

• Improving sharing stability

Version 2.0.3

Report

• Improving the dimension sectioning

Data Sources

• Optimizing data sources and their automatisation of reloading

• Enhancing Linkedin connector code

• Added Adform connector

• Added Facebook organic connector

• Added Instagram organic connector

• Added Criterion metric

Interface

• Improving on data display

Exports

• Improving sharing stability

Version 2.0.7

Interface

• Improving on widget display

• Improving data fluency

Report

• Improving dimension selection

Version 2.0.9

Data Sources

• Improving the Custom Import

• Improving stability for the Google Ads data source

• Improving Google Analytics data source

• Loading time optimisation

• Improving Normalized metrics and dimensions for Facebook and Instagram organic

• Improving data source configuration

Interface

• Improving stability

Report

• Improving information visibility

Version 2.0.14

Data Sources

• Improving on Google Ads connector

• Improving on data source management

• Added dimensions to organic connectors

• “Date posted” dimensions added to organic connectors

• Imporved data aggregating process

Report

• Added time dimensions to table widget

• Improved selecting method for metrics and dimensions

• Improved calculated metrics

Interface

• Added language option for Adloop Help page

Version 2.1.1 (attribution)

Data Sources

• Improved matching processes for Criteo

Version 2.0.15

Interface

• Added language option for Real time notifications

• Improved report sharing system

Dashboard

• Improved format for number display

• Added widget button

Version 2.0.17

Interface

• Improved notification configuration

Version 2.0.18

Data sources

• Improved manual import

Version 2.0.19

Interface

• Improved notification status

Data sources

• Improved GA error management

• Improved notification status

Version 2.0.20

Interface

• Improved notification filtering

Version 2.0.21

Notifications

• Improving realtime notifications

Version 2.0.22

Interface

• Improving on new dashboard functions

• Optimizing interface

• Letter formatting optimization

Reports

• Improving on cycle report

Version 2.0.23

Data source

• Improving Google Analytics export

Version 2.2

Data source

• Improving on Awin connector

• Google Search Console connector

Interface

• Date selection optimization and comparison selection

Report

• Improving public sharing

• Fixed calculated metrics

• Channel affinity (path to conversion report)

• Ordering and Search spaces and sites

Version 2.2.6

Data sources

• Improved Snapchat connector

• Improved Google Search Console

Report

• Improved total on channel affinity report

Version 2.2.6.1

Data sources

• Oauth reconnection

Version 2.2.7

Report

• Improved total on channel affinity report

• Improved Chart report

• Improved report saving

Data sources

• Youtube organic connector

• Improved metric selection for Google Shopping

Version 2.2.1

Interface

• Optimizing metrics names

• Improved notifications destinations

Version 2.2.2

Data Sources

• Added video metrics and cost to DCM

Version 2.2.3

Data Sources

• Improved Awin connector

Interface

• Improved error messages

Reports

• Clarified export naming

• Added duration metric

• Reworked custom imports + SFTP

• Improved report saving with filters

Version 2.2.4

Data Sources

• Improved Criteo import

• Added reach metric for Snapchat connector

• Updated scope for Bing connector

Interface

• Improved calendar and dates ordering

• Clarified normalized metrics name

Reports

• Improved calculated metrics

• Improved graph report

Report

• Improved Transaction ID report

• Improved filtering process on Transaction ID report

Interface

• Improved colour scheme for saved reports

Data sources

• Improved Meta naming

Version 2.4.3

Interface

• Report saving reminder

• Improved translation

Data Sources

• More granular Meta connector

• Improved data source selection process

Report

• Improved visualization of trends

Version 2.4.4

Interface

• Attribution overview dashboard

Report

• Transversal dimension for Ad image

Data Sources

• Ad Images for Google Shopping, Google Performance Max, Instagram organic, Facebook organic, Pinterest

• Added dimensions for Google data sources

• Data source transport between datasets

Version 2.4.5

Report

• New default calculated metrics and new metrics category

Interface

• New header naming

Version 2.3.2

Interface

• Improved front page/new report menu

• Help menu on each page

• Info “bubbles”

Data-sources

• Ad images for Meta

• Updated Twitter connector

• Twitter organic connector

• Pinterest organic connector

Version 2.3.3

Data-sources

• Improved Twitter data collection

• Improved Pinterest data collection

• Ad images for Google Display

• Ad images for Youtube organic

• Ad images for Youtube Ads

• Improved error handling for Bing

• Dimension change within Hawk API

• Added breakdown for Facebook Ads

Interface

• Updates on help video links

Version 2.2.9

Interface

• Templates system for Adloop admins

Version 2.2.9.1

Data Sources

• Improved Youtube organic connector

Version 2.3

Data Sources

• Added Criteo as a popular data source

• Transitioning from Facebook to Meta

• Normalized Rakuten’s ad-click

• Added Ividence as a new connector

• Google Analytics GA4 classic connector

• Improved Pinterest organic connector

Version 2.4.3

Report

• Improved conversion rate for Yen and other currencies

Version 2.4.6

Interface

• New onboarding and system emails

• Improved page admin site

Data source

• Daisycon connector

• Platform 161 connector

Report

• Thruplay metric on Meta

Version 2.4.7

Data source

• Improved loading system

Version 1.2.1

Data Sources

• Updating TikTok data surce

Version 1.2.2

Notifications

• Modifying the time for sending notifications

Version 1.2.4

Reports

• Improving general performance (loading time)

Version 1.2.5

Notifications

• Added private channels and private messages as Slack notification destinations

Version 1.2.6

Reports

• Fixing a bug on the temporary comparison

Version 1.2.8

Data sources

• Improving Snapchat data source performance

Reports

• Fixing a bug when modifying calculated metrics

Exports

• Improving performance of Google Data Studio export destination

Data source

• Adobe Analytics connector

Reports

• Improved calculated metrics system

Version 2.4.9

Data source

• Improved custom source import

Reports

• Improved dimension selection

• Improved report management system

Interface

• Updated help videos and tutorials

Version 2.4.10

Interface

• New Tour

• Easier searching system

• Seamless selection process of data sources

• Quick dashboard visual error fix

Reports

• Improved dashboard report filtering system

Version 2.4.10.1

Reports

• Fixed comparison function on reports

• Fixed transaction ID report

Version 2.5.0

Interface

• Logo personalization on dashboards

• Added account names for all data sources as a dimension

• Fixed data sources logo

• Updated interface when creating a workspace

New feature

• Cookie-consent auto correct

Data-sources

• New: AT Internet - Classic connector

Version 2.5.3

Matching

• Improved matching system

Version 2.5.4

Data Sources

• Updated logo for data sources

• Added normalized product name dimension for Performance Max

• Updated AgGrid license

Interface

• Improving error status handling for Attribution

• Restructured Cookie Consent block

Reports

• New report workflow

Exports

• Handle Dashboard/Affinity/Chart report export

Notifications

• Updated real-time notification system

Version 2.5.6

Interface

• Template library

Version 2.5.7

Reports

• Updated info hover

Version 2.5.8

Reports

• Fixed filtering system

• Fixed dashboard templates

Data-sources

• Added function: 'Add a data source” button

Version 2.6.0

Exports

• Updated exports

Version 2.6.4

Reports

• Case issue solved on SEA Matchtype normalized dimension

• Templated for specific datasets

• New pop-in for report template

• Color change for the increase and decrease of these metrics

Data sources

• Improved organic sources

Version 2.6.5

Data sources

• Get Archived/Paused data from Facebook API

Version 2.6.6

Reports

• Updated dashboard widget mode from “vertical scroll” to “fit to screen”

• Updated widget limitation system

Data sources

• Fixed Piano Analytics data source

Version 2.6.8

Data sources

• Google Analytics GA4 - Attribution connector

• Clear report cache

Matching

• Upgraded matching

Interface

• Improvement for materialized views

• New/Upgraded script

Interface

• Updated report menu organization

Reporting

• Updated chart report

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

• 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

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

Version 3.1.0

Interface

• Updated look and feel of the platform

Version 3.1.1

Data sources

• Coordinating Bing and Adloop code

Version 3.1.2

Reporting

• Updated dimension list

• Improved cleaning job to delete orphan raw_metrics

• Added regex to control subdomain for space deployment

Data sources

• Updated GA4 logo

Version 3.1.3

Data sources

• Added metrics to existing data sources

Version 3.1.4

Data sources

• Added images to Snapchat connector

Version 3.1.5

Reporting

• Improved email import for custom data source

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

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

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

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

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 .

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

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.

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

[[|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!

On the Data Sources page, you can see quickly all the data sources you set-up and their status.

Data-sources are separated in 3 categories:

• Data-sources : sources for which Adloop has an API connection - data is gathered automatically several times a day.

• Custom sources : sources for which there is no API connection - external data is then imported by file droping, email or FTP.

• Organic sources : sources for which there is no Advertising data to import.

We will explain here what is the purpose of every zone and what you can find in them:

.png)

Area 1 : to add a Data Source

Opens a pop-in with the available Data Sources connections.

See the dedicated pages to Ad Sources or Analytics Sources for more information on adding Data Sources.

Area 2 : Data Sources already in your Dataset

The names and logos of the Data Sources you added to your Dataset .

Area 3 : Data Sources details

You will find here the details of every Data Source you added, especially its number in the ad platform, its name but also the timezone and the currency.

We convert currencies when we import the data in the currency you chose for the Dataset. For more information, see the [[ Data Quality |Data-Quality]] page.

Area 4 : Data Sources status

This zone is important to check the quantity and quality of the imported data.

For each Data Source, you will find:

• History of the data in Adloop

• Date and time of the last data import

• A small graph with the imported data over the last 14 days

For more information about the frequency of the data import, see the [[ Data Quality |Data-Quality]] page.

Area 5 : Activate / Deactivate a Data Source

With this switch button you can stop the data import for Data Source without deleted the imported history.

noteThis function is interesting if you stop a contract with a partner but you want to keep a coherent data history.

This function is interesting if you stop a contract with a partner but you want to keep a coherent data history.

Area 6 : set-up or delete a Data Source

Both controls enables you to change the parameters or to delete a Data Source .

Deleting a Data Source will delete all the data history.

[[Data Sources page|Data-Sources-page]]

[[Data Sources (workflow)|Data-Sources-(Workflow)]]

[[Destinations (Exports or Notifications)|Destinations-(Exports-or-Notifications)]]

[[Data quality|Data-Quality]]

Adloop imports data stocked in outside apps thanks to our Data Sources .

The Ad Sources are Data Sources connected to Ad platforms.

Add a Data Source

Adding a Data Source, nothing simpler! In the Data Source page, you just have to click on the button, a popin with the available connections appears.

You can search the connection by its name.

A small label appears on some Data Sources :

| | New connection | Super fresh, it has been there less than a month! | | | In progress | It will come rather soon. If you think it is taking too long, write to support@adloop.co to speed it up! | | | Premium | Our state-of-the-art connections, you need a Premium subscription to use it. |

Connection types

Before connection a Data Source , you must have a access rights.

Each Data Source uses a specific connection mode, but there are 3 main types:

Dimensions and Metrics choice

Once the connection is effective, you have to choose the [[ Dimensions |Dimensions-in-Adloop]] and the [[ Metrics |Metrics-in-Adloop]] we have to get from the Data Source .

The default Dimensions or the default Metrics will be imported no matter what, because they are main elements of our reports. It is not possible to delete them.

The Other dimensions and the Other metrics can be selected if you need them.

noteIf you don’t find a Dimension or a Metric, ask the Adloop Support!

If you don’t find a Dimension or a Metric, ask the Adloop Support!

Imported period and import frequency

Adloop imports a year of data when a Data Source is added.

Once added, data are updated every 3 hours or 8 times a day.

Depending on the Data Sources and the API quotas, importing a year of data can take between 2 and 72 hours. Sometimes, you have to be patient!

Data Quality

See our page dedicated to [[ Data Quality |Data-Quality]].

For the main Advertising Platforms, we are able to fetch automatically the data, several times a day, after the source is added in your Adloop space.

A data source is missing? Contact our Support Team to add it on our road map!

1. Add a data source

In the Data Sources tab, click on "Add" and select the desired data source.

The most popular ones can be found at the top and after they are organized per categories: Search, Shopping, Social…

You can also use the search bar to find directly the source you are looking for.

If the source is not yet available, you can use our [[custom data source function|Custom-data-sources]] to import data!

Once you have found your data source, click on it and follow the instructions on the screen.

1- Dimensions selection

Normalized dimensions are imported by default, but you can choose to import additionnal dimensions by ticking them.

2- Metrics selection

Normalized metrics are imported by default, but you can choose to import additionnal metrics by ticking them.

3- Data-sources specific steps

Some connectors have optional steps.

• Google & Facebook: custom conversions import

If you have set-up custom conversions on Google and Facebook thanks to conversion pixels, you can import them in Adloop as well.

4- Filter the data (optional)

You can choose to filter the entering data based on the naming of the campaigns, adgroups etc.

This is very useful if you have all your countries campaigns regrouped in the same Ad Account but you want to split your Adloop data per country.

It’s important to note! When adding more than one filter on the dimensions it’s either AND/OR depending on which operator you are using!

• if it is a "positive" operator (eg: contains, equals), it will be an OR

• if it is a "negative" operator (eg: is not equal to, does not contain), it will be an AND

So imagine you are doing something like the screen, it will be: IF the campaign begins with "Black Friday" or "Xmas" AND does not contain EN AND HU

.png)

5- Import

At the end of the process, click on the Start Import button and the data will start flowing in!

We will gather a full year of data history.

Connecting data sources

It may happen that a data source you are using is not available in our list of API connectors. In this case, you can create a custom data source.

For each custom data source, you will be able to download external data files for full data completeness.

Only create a custom data source if you plan to import external data! Otherwise you can use the Organic Sources tab in the Matching section.

1. Create a custom data source

In the Data Sources tab, click on "Add" and select "Custom Ad Source".

You will then have to give a name to your data source as well as fill in its type (Affiliate, Social, SEO etc.)

Next you will need to import the file containing the data for the desired source into Adloop. This file must have headers and raw data (no formulas).

Supported formats are : XLSX, XLS, ODS and CSV (UTF-8 encoding).

It is better if your file contains a date column! This allows you to add the data of several days at once. Otherwise, you will have to upload one file per day.

This file can be used as a template for future imports. This will facilitate the import process the next time. It is therefore better if you upload a file directly from the advertising platform (unmodified).

You can click "Submit" to upload your file.

Next, Adloop asks you to indicate which row is the header: choose the column with the title of your columns.

You will now be presented with a screen asking you to map your column titles to Adloop dimensions or metrics. For each column you have to indicate which dimension or metric corresponds to.

Example: For my column called "Cost" in my file I choose the corresponding Adloop metric "Ad Spend".

For my column called "Campaign", I choose the corresponding Adloop dimension "Campaign Name".

If the metric or dimension is not available in the list, you can create custom ones. These will then be specific (not standardized) items. To do this, use the "Add metric" or "Add dimension" buttons.

If you don't want to import a column, choose the "Will not import" option. The data in the column will then be left out.

Choose the currency in which the data in the file is entered and, if applicable, the date.

At the end of the set-up you can choose between overwrite & add data options.

Overwrite: a new imported file on the same dates will erase the previous one

Add data: data on the same dates will be summed.

Your data source is now created!

2. Importing new data from a custom source

In the Data Source tab, select the data source for which you want to import data and click on the "Load new file" button

By clicking on this button, you have two options: upload a new file (and therefore make the column matches again) or use the configuration of a previous import. (By clicking on the arrow)

In this case, the file format and column names must be absolutely identical between the two files.

3. Manage the list of manual imports

By clicking on the button "Display custom imports", you access the list of imports for a given source.

From this list, you can delete one or more imports if the data are no longer up to date.

https://www.youtube.com/watch?v=n3ZbwelZeQ0

In order for Adloop to connect to your Rakuten Account and obtain the relevant data, we need you to create a specific report and give us the report's API url.

Dont' worry, we will guide you through the process !

1. Go to your

2. Go to the "Report" tab, click on "Choose Reports" and select "Revenue Report by Day"

3. Select the following columns:

• Transaction Date

• Publisher Name

• Publisher ID

• Number of Impressions

• Number of Clicks

• Total Commission

• Number of Orders

• Sales

1. Select the same timezone as your dataset, by clicking on the date picker.

2. Save your report

3. Click on "View Report" and select "Get API". This will give you an URL.

4. Copy the given URL and paste it in the field provided by Adloop.

That's it, well done !

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]]

It’s important to note that Facebook uses an “estimated metric”.

An estimated metric is derived through statistical sampling or modelling, rather than a straight count. Which means that there will be differences between the data in Adloop and the source when fetching the data for more than a day.

It’s important to note that Facebook uses an “estimated metric”.

An estimated metric is derived through statistical sampling or modelling, rather than a straight count. Which means that there will be differences between the data in Adloop and the source when fetching the data for more than a day.