This glossary will explain all the terms describing Adomik’s world that you may encounter throughout the knowledge base.
Data Engine: The heart of the Adomik Platform, powering the three Adomik apps as well as our Data Science modules. It is designed to automatically collect, process, store, unify, and customize all of your monetization data. Learn more about the Data Engine.
Adomik Platform: The Smart Advertising Analytics Platform that automatically collects, harmonizes, and enriches advertising data from monetization partners through its proprietary Data Engine technology. It also turns insights into revenue by exposing the data via three specialized apps (Report, Troubleshoot, and Benchmark). The platform is accessible via login at https://platform.adomik.com/ and is customized based on the apps and services for which you registered.
Report App: The app that facilitates visualization of all of your advertising data in one place. Learn how to use the Report App in this guide.
Benchmark App: The app that allows you to stay ahead of the competition with Adomik’s exclusive advertising market index. Learn how to use the Learn how to use the Benchmark App in this guide.
Troubleshoot App: The app that helps you detect and resolve issues to unlock new revenue flows. Learn how to use the Troubleshoot Troubleshoot App in this guide.
Data Extract Service: This service lets you build your own app by ingesting Adomik harmonized data into your information systems.
Time Period or Calendar Widget: An advanced and flexible date selection widget that lets you choose from predefined or custom date ranges to perform your analysis. In most cases, the widget offers both static and comparison date ranges. Its functionalities vary a bit depending on the app you are using. Learn how to best use the calendar widget for calendar widget for Report and for Benchmark
Market: Available in the Benchmark app only, Market allows you to choose between all markets you to which you subscribed. Learn more about available markets here.
Breakdown Dimension: In the Report app, you can choose a “Breakdown Dimension” that will determine the main dimension of your graph as well as the colored breakdown dots. Learn more about the Breakdown Dimension and the best way to use them.
Scope: A widget that lets you choose the scope of your data query feeding your reports by applying inclusion or exclusion filters. Its functionalities vary depending on the app you are using. Learn how to best use the Scope widget for Report or Benchmark
Key Metrics: As the top part of the Report and Benchmark apps’ dashboard, Key Metrics includes a quick view of the main performance metrics and customizable charts. Learn how to best use the key metrics widget for Report, Benchmark Analytics or Market Overview.
Ecosystem: The bottom part of the apps’ dashboard, Ecosystem allows you to breakdown your data into various dimensions and sort and search your report data in a table view. Multiple modes are offered for each app to gain quicker insights into your analysis.
Ecosystem Dimension: Selected from the drop-down menu on the top right, the Ecosystem Dimension defines the grouping of the ecosystem rows.
Ecosystem Mode: Each ecosystem is broken down into multiple tabs called Modes that help you answer specific analysis questions (e.g., CTR and viewability performance, top growth, top revenue).
Breakdown Dots: Available in the Report app, breakdown dots are visual indicators of the Breakdown Dimension delivery mix. Learn more about t making the best use of the breakdown dots in Report.
Custom Dimension: Available in Report, the Custom Dimension allows you to create new dimensions using any standard dimension(s) available and applying your own mapping logics.Learn more about Custom Dimension
Custom Profile: Lets you customize the Adomik Platform experience for a group of users in your organization by filtering part of the data, choosing the visible metrics and dimensions, or exposing different apps. Learn more about Custom Profile
Saved Queries: Available for all apps, saved queries allows you to save, label, and maintain recurring and complex queries for quick access to your data. Learn more about Saved Queries
Integration Factory (IF): The team that evaluates, designs, and maintains data connectors’ specifications and integrations for each monetization partner to ensure seamless and accurate data collection.
Customer Success Manager (CSM): Your main point of contact for all product questions and an extension of your team, performing revenue, demand, or yield analyses leveraging the Data Engine and relevant apps.
Account Operations Manager (AO): The team responsible for the activation of the Data Engine and apps, customization implementation (mapping, profiles, others), and data accuracy and consistency across your stack.
Professional Service: A team of experts who perform complex analytics and yield management requests upon demand.
Your Data Connections
Monetization Partner (Partner): The platform from which Adomik can collect monetization data. This can be an SSP, ad server, ad exchange, header solution, and more.
Data Connector: A service built by Adomik to connect with your partners to collect monetization data. For each data connection with a partner, the Adomik Integration Factory evaluates the limitations of the data connector (availability, dimensions, timeframe, currency, etc.) and then design the specs to ensure all necessary data is collected to feed unified reports in the various apps.
Here is a list of all the available data connectors.
Basic Connector: For some Data Connectors we might collect limited data with only standard metrics and fewer dimensions, all in a simple data collection process.
Smart Collect: Available for selected connectors, Smart Collect is a process by which Adomik collects data multiple times a day over the course of several days as soon as the data is available to ensure consistent up-to-date data. Learn more about Smart Collect
Onboarding: The process by which we activate and set up data connectors, collect historical data, and conduct discrepancy checks to expose the data in your dashboards. At this stage, we also implement any customizations (custom dim, revshare, etc.). Learn about onboarding requirements.
Seller: You might see the term ‘seller’ referring to an Adomik account, i.e., a publisher, an ad network.
Analytics terms
Dimensions: Descriptive attributes or characteristics of an object that can be given different values (e.g., country, partner, brand, bidder). See all available dimensions in the Adomik Dimension Glossary
Metrics: Quantitative measurements (e.g., impressions, revenue, clicks, viewable impressions) that can also be calculated (CTR, CPM, etc.). See the Adomik Metric Glossary
Mapping : An operation that associates each element of a given set with one or more elements of a second set. Mapping can be done manually via sets of rules or algorithms. Learn more about Adomik Data mapping.
Query: A request made to the Adomik databases to return a set of data based on defined parameters (filters, date range, etc.).