Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (2023)



For auto-targeting activities, review the reporting in Analytics Workspace and manually create an A4T panel.

The Analytics for Target (A4T) integration for auto-targeting activities uses Adobe Target ensemble machine learning (ML) algorithms to select the best experience for each visitor based on their profile, behavior and context, all while using an Adobe Analytics measure metric.

While comprehensive analytics are available in the Adobe Analytics Analysis Workspace, there are some changes to the standardAnalysis for goalspanel is required to correctly interpret Auto-Target activities due to differences between experiment activities (manual A/B testing and auto-assignment) and personalization activities (Auto-Target).

This guide reviews the recommended customizations for analyzing Auto-Target activities in Analysis Workspace, which are based on the following key concepts:

  • OfControl versus targetingdimension can be used to distinguish control experiences from those in the Auto-Target ensemble ML algorithm.
  • Visits should be used as the normalizing measure when looking at performance breakdowns by experience level. Besides,The default counting method in Adobe Analytics may include visits where the user cannot actually see the content of the activity, but this default behavior can be changed by using a properly scoped segment (details below).
  • Visit-lookback-scoped attribution, also known as the "visit-lookback window" on the prescribed attribution model, is used by the Adobe Target ML models during their training phases, and the same (non-default) attribution model must be used when decomposing the target metrics.

Create A4T for the Auto-Target panel in the Analysis Workspace

To create an A4T for Auto-Target report, start withAnalysis for goalspanel in the Analysis Workspace, as shown below, or start with a freeform table. Then make the following selections:

  1. control experience: You can choose any experience; however, you will override this choice later. Note that for Auto-Target activities, the control experience is actually a control strategy, namely a) Serve randomly between all experiences, or b) Provide a single experience (this choice is made during activity creation in Adobe Target). Even if you chose option (b), your automatic target activity has designated a specific experience as a control. You still need to follow the procedure described in this guide to analyze A4T for auto-target activities.

  2. normalizing metric: Select Visit.

  3. Success statistics: While you can choose any metric to report on, you should generally see reports on the same metric selected for optimization when you create activities in Target.

    Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (1)

    Figure 1: Configuring the Analytics for Target panel for Auto-Target activities.


To configure your goal analytics panel for auto-targeting activities, select an audit experience, select Visits as the normalization metric, and select the same goal metric that was selected for optimization when the goal activity was created.

Use the Control vs. dimension. Targeted to compare the Target Ensemble ML model with your control

The standard A4T panel is designed for classic (manual) A/B testing or automated assignment activities where the goal is to compare the performance of individual experiences to the control experience. However, in Auto-Target activities, the first-order comparison must be between the controlstrategyand the targetedstrategy. In other words, to determine the influence of the overall performance of the Auto-Target ensemble ML model on the control strategy.

To perform this comparison, you must useControl vs. targeted (Analytics for Target)dimension. Drag and drop to replaceTargeted experiencesdimension in the standard A4T report.

Note that this replacement invalidates the default lift and confidence calculations on the A4T panel. To avoid confusion, you can remove these statistics from the default panel and leave the following report:

Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (2)

(Video) Analyze an Auto-Target Activity using the A4T Panel

Figure 2: The recommended baseline report for Auto-Target activities. This report is configured to compare targeted traffic (provided by the ensemble ML model) to your control traffic.


At this time, lift and confidence metrics are not available for control versus targeted dimensions for Auto-Target A4T reports. Until support is added, Lift and Confidence can be calculated manually byconfidence calculator.

Add breakdowns of stats by experience level

To better understand how the ensemble ML model performs, see experience level breakdownsControl versus targetingdimension. Drag it into the Analysis WorkspaceTargeted experiencesdimension to your report, then split each of the control and target dimensions separately.

Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (3)

Figure 3: Breakdown of the targeted dimension by target experiences

An example of the resulting report is shown here.

Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (4)

Figure 4: A standard Auto-Target report with experience level breakdowns. Remember that your target value may be different and your control strategy may have a single experience.


In the analytics workspace, click the gear icon to hide the percentages in the Conversion Rate column to keep the focus on the experience's conversion rates. The conversion rates are then formatted as decimals, but then interpret them as percentages.

Why 'Visit' is the right default for Auto-Target activities

When analyzing an automated goal activity, always select Visits as the default normalization metric. Auto-Target Personalization selects an experience for a visitor once per visit (formally once per Target session), meaning that the experience presented to a visitor may change with each visit. So if you use Unique Visitors as a normalizing metric, the fact that a single user can see multiple experiences (on different visits) will lead to confusing conversion rates.

A simple example illustrates this point: consider a scenario where two visitors participate in a campaign that only has two experiences. The first visitor comes by twice. They are assigned to experience A on the first visit, but to experience B on the second visit (because their profile status changes on the second visit). After the second visit, the visitor converts by placing an order. The conversion is attributed to the most recently viewed experience (experience B). The second visitor also walks by twice and is shown experience B both times, but never converts.

Let's compare visitor and visitor level reports:

Experienceunique visitorsVisitconversionsVisitors' normalized conversion rateVisit normalized conversion rate
IN11-0 %0 %
B23150 %33,3 %
long shots24150 %25 %

Table 1: Example of comparison of visit normalized and visit normalized reports for a scenario where decisions are linked to a visit (and not a visitor, as in regular A/B testing). Normalized visitor metrics are confusing in this scenario.

As can be seen in the table, there is a clear discrepancy between the visitor figures. Although there are two unique visitors in total, this is not a sum of individual unique visitors for each experience. While visit-level conversion rates aren't necessarily wrong, visit-level conversion rates probably make a lot more sense when comparing individual experiences. Formally, the unit of analysis ("visit") is the same as the unit of resolution, meaning that breakdowns of metrics can be added and compared at the experience level.

Filter by actual visits to the activity

Adobe Analytics' default counting method for visits to a Target activity may include visits where the user has not interacted with the Target activity. This is due to how target activity mappings are held in the Analytics visit context. As a result, the number of visits to the Target activity can sometimes be inflated, resulting in a decrease in conversion rates.

If you prefer to report on visits where the user actually interacted with the auto-target activity (whether through an access to the activity, a view or visit event, or a conversion), you can:

(Video) Target Achievement Visualization in Adobe Analytics Workspace 2019

  1. Create a specific segment with hits from that target activity, and then
  2. Filter the Visits metric using this segment.

To create the slice:

  1. chooseComponents > Create Segmentoption on the Analysis Workspace toolbar.
  2. Specify onetitlefor your segment. In the example below, the segment is called "Hit with specific Auto-Target activity".
  3. DragsTarget activitiesdimension to the segmentDefinitionsection.
  4. Usecorresponding tooperator.
  5. Search for your specific target activity.
  6. Click the gear icon, then selectAttribution model > Instanceas shown in the image below.
  7. ClickRedden.

Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (5)

Figure 5: Use a segment like the one shown here to filter the Visits metric in your A4T for Auto Target report

Once the segment is created, use it to filter the Visits metric so that the Visits metric only includes visits where the user interacted with the target activity.

To filter visits with this segment:

  1. Drag the newly created segment from the Components toolbar and hover over the bottom of itVisitmetric label for a blueSort byprompt vises.
  2. Drop the fragment. The filter is applied to this metric.

The final panel looks like this:

Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (6)

Figure 6: Reporting panel with the 'Hit with specific automatic target activity' segment applied to the Visits metric. This segment ensures that only visits where a user actually interacted with that target activity are included in the report.

Make sure the target metric and attribution are aligned with your optimization criteria

The A4T integration enables the Auto-Target ML modelTraineduses the same conversion event data that Adobe Analytics usesgenerate performance reports. However, there are certain assumptions that must be used when interpreting this data when training the ML models, which are different from the default assumptions made during the reporting phase of Adobe Analytics.

In particular, the Adobe Target ML models use a visit-based attribution model. That is, the ML models assume that a conversion must occur on the same visit as a content view for the activity in order to "attribute" the conversion to the decision made by the ML model. This is necessary for Target to ensure timely training of its models; Target cannot wait up to 30 days for a conversion (the default attribution period for reports in Adobe Analytics) before including it in the training data for its models.

Thus, the difference between the attribution used by the Target models (during training) and the default attribution used when querying the data (during report generation) can lead to inconsistencies. It may even appear that the ML models perform poorly when it is really about attribution.


If the ML models optimize for a metric that is attributed differently than the metrics you see in a report, the models may not perform as expected. To avoid this, ensure that the target metrics in your report use the same metric definition and attribution used by the Target ML models.

The exact metric definition and attribution settings dependthe optimization criterionthat you entered when you created the activity.

Target defined conversions or Analytics metrics withMaximize the metric value per visit

When metric is a goal conversion or an Analytics metric withMaximize the metric value per visit, the definition of goal metrics allows multiple conversion events to occur during the same visit.

To view target metrics that have the same attribution method used by the Target ML models, follow these steps:

  1. Hover over the gear icon for the target stats:

    Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (7)

  2. Scroll to the resulting menuData settings.

    (Video) Adobe Analytics Activity Conversions

  3. chooseUse a non-standard attribution model(if not already selected).

    Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (8)

  4. ClickEdit.

  5. chooseModel:Participation, iReview window:Visit.

    Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (9)

  6. ClickTo apply.

These steps ensure that your report attributes the target metric to the experience view if the target metric event occurredevery moment("participation") in the same visit that an experience was displayed.

Analytics statistics withUnique Visitor Conversion Rates

Define the visit with a positive metric segment

In the scenario you selectedMaximize the conversion rate of unique visitsas an optimization criterion, the correct definition of conversion rate is the proportion of visits where the metric value is positive. This can be achieved by creating a segment that filters for visits with a positive value of the metric and then filtering the visit metric.

  1. As before, you must chooseComponents > Create Segmentoption on the Analysis Workspace toolbar.

  2. Specify onetitlefor dit segment.

    In the example below, the segment is called "Visit with an order".

  3. Drag the base metric you used in your optimization goal into the segment.

    In the example below we useOrder: % pmetric, so the conversion rate measures the number of visits where an order was registered.

  4. In the top left of the segment definition container, selectInvolving Visit.

  5. Useis greater thanoperator and set the value to 0.

    Setting the value to 0 means that this segment includes visits where the order metric is positive.

  6. ClickRedden.

Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (10)

Figure 7: Segment definition filtering for visiting positive orders. Depending on your activity's optimization metric, you should replace orders with an appropriate metric

(Video) A4T and Adobe Target - Webinar with Adobe.

Apply this to the visits in the activity filtered metric

This segment can now be used to filter by visits with a positive order count and where there was a hit for the Auto-Target activity. The procedure for filtering a metric is similar to before, and after applying the new segment to the already filtered visitor metric, the report window should look like Figure 8

Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (11)

Figure 8: The report window showing the correct unique visit conversion metric: the number of visits that recorded a hit of the activity and where the conversion metric (orders in this example) was not zero.

Final step: Create a conversion rate that captures the magic above

With the changes to the Visits and Goals metrics in the previous sections, the last change you need to make to your standard A4T auto-targeting reporting window is to create conversion rates that have the right ratio: the corrected Goals metric to a properly filtered 'Visits' metric.

Do this by creating a calculated metric using the following steps:

  1. chooseComponents > Create Metricsoption on the Analysis Workspace toolbar.
  2. Specify onetitlefor your measurements. For example, "Visit-adjusted conversion rate for activity XXX."
  3. chooseFormat= Percent medecimals= 2.
  4. Drag the appropriate goal metric for your activity (eg, Activity Conversions) into the definition and use the gear icon on that goal metric to adjust the attribution model to (Attendance|Visit), as described earlier.
  5. chooseAdd > Containerfrom the top right corner ofDefinitionsection.
  6. Select the division operator (÷) between the two containers.
  7. Drag your previously created segment named "Hit with specific Auto-Target activity" into this tutorial for that specific Auto-Target activity.
  8. DragsVisitmetric in the segment container.
  9. ClickRedden.


You can also create this metric usingquickly calculated metric functionality.

The full calculated metric definition is shown here.

Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (12)

Figure 7: The Visit Adjusted and Attribution Adjusted Model Conversion Rate Statistics Definition. (Note: this metric is dependent on your target metric and activity. In other words, this metric definition cannot be reused across activities).


The conversion rate metric from the A4T panel is not linked to the conversion event or normalization metric in the table. When you make the changes suggested in this guide, the conversion rate will not automatically adjust to the changes. Therefore, if you make the change to the conversion event attribution or the normalization metric (or both), remember that as a final step, you also need to change the conversion rate, as shown above.

Summary: Final example of the Analysis Workspace pane for auto-targeting reports

Combining all the above steps into one panel, the image below shows a complete overview of the recommended report for Auto-Target A4T activities. This report is the same as the one used by the Target ML models to optimize your target metrics. The report includes all the nuances and recommendations discussed in this tutorial. This report is also the closest to the counting methods used in traditional Target report-driven Auto-Target activities.

Click to expand the image.

Configure A4T reports in Analysis Workspace for auto-target activities | Adobe goals (13)

Figure 10: The final A4T Auto-Target report in Adobe Analytics Workspace, which combines all the metric definition adjustments described in the previous sections of this tutorial.

(Video) Adobe Target Click Tracking Activity Conversions resources


What is A4T in Adobe target? ›

Adobe Analytics as the reporting source for Adobe Target (A4T) Adobe Analytics for Target (A4T) is a cross-solution integration that lets you create activities based on Analytics conversion metrics and audience segments. The A4T integration lets you use Analytics reports to examine your results.

How do I add a report to my workspace in Adobe Analytics? ›

Create a basic report in Workspace
  1. Log in to using your Adobe ID credentials.
  2. Click the 9-square icon in the upper right, then click the colored Analytics logo.
  3. In the top navigation bar, click Workspace.
  4. Click the 'Create New Project' button.
Feb 16, 2022

Which is need to integrate Analytics to target A4T? ›

In Target, click Administration > Reporting and choose either Select per activity or Adobe Analytics to enable the options. Select per activity lets you choose between Target and Analytics when creating each activity.

What is the difference between auto allocate and auto target? ›

Auto-Target is designed to deliver maximum optimization, compared to traditional A/B testing or Auto Allocate, by determining which experience to display for each visitor.

What is A4T in Adobe Analytics? ›

Adobe Analytics for Target (A4T) is a cross-solution integration that lets you create activities based on Analytics conversion metrics and audience segments. The A4T integration lets you use Analytics reports to examine your results.

How to configure Adobe target in AEM? ›

To do so, you specify which A4T cloud configuration to connect your Adobe Target cloud configuration with:
  1. Navigate to Cloud Services via the AEM logo > Tools > Deployment > Cloud Services.
  2. In the Adobe Target section, click Configure Now.
  3. Reconnect to your Adobe Target configuration.
Apr 24, 2023

How do I create a custom report in Adobe Analytics? ›

You can filter report data, change how data is presented graphically, change date granularity, and so on.
  1. Create a custom report. ...
  2. Select a date or date range. ...
  3. Compare dates. ...
  4. Display a percent as a graph. ...
  5. Normalize report data. ...
  6. Select a page for a report. ...
  7. Compare report suites. ...
  8. Specify report granularity.
Feb 1, 2023

How do I change the report suite in Adobe Analytics? ›

Click Analytics > Admin > Report Suites. Click Create New > Report Suite. Select either a predefined template or an existing report suite to use as a template.

Can Adobe Analytics be used as a reporting source for Adobe target? ›

A4T reporting. Using Adobe Analytics as your reporting source for Adobe Target (A4T) gives you access to Analytics reports for your Target activities. You can view reports for your activities in both Analytics and Target. For reporting best practices using Analytics for Target, visit this Adobe Spark Page.

What is the difference between Adobe analytics and Adobe Target? ›

Adobe Target is a personalization tool where users can set up various types of tests (like A/B and Multivariate tests) and offer personalized experiences to end users. Adobe Analytics is an analytics insights tool where all data from digital touchpoints is gathered in order to connect the user journey.

What are the five most important elements needed to implement a data analytics effort? ›

When considering data analytics, there are five essential elements you need to take into account:
  • Collecting data.
  • Data analysis.
  • Reporting results.
  • Improving processes.
  • Building a data-driven culture.

What does Adobe target optimize towards when running an automated personalization activity? ›

Automated Personalization (AP) activities in Adobe Target combine offers or messages, and uses advanced machine learning to match different offer variations to each visitor based on their individual customer profile, in order to personalize content and drive lift.

How does auto allocate work in Adobe target? ›

An Auto-Allocate activity in Adobe Target identifies a winner among two or more experiences and automatically reallocates more traffic to the winner to increase conversions while the test continues to run and learn.

What is the difference between dynamic variable and automatic variable? ›

With automatic allocation, variables have a limited scope and the memory is usually allocated on the stack, whereas dynamic allocation uses the heap.

How to configure Adobe Analytics in AEM? ›

In AEM open the Tools menu. In the Security section select Adobe IMS Configurations. Select Create to open the Adobe IMS Technical Account Configuration. Using the drop down under Cloud Configuration, select Adobe Analytics.

How many eVars are there in Adobe Analytics? ›

eVars. This feature is limited to 250 eVars per Report Suite. Additionally, each eVar may contain up to 500,000 unique values or data elements per month.

Is Adobe Analytics a data Analytics tool? ›

Adobe Analytics lets you mix, match, and analyze data from any digital point in the customer journey.

What is the difference between Adobe target and AEM? ›

Adobe Experience Manager belongs to "Self-Hosted Blogging / CMS" category of the tech stack, while Adobe Target can be primarily classified under "A/B Testing Analytics". Some of the features offered by Adobe Experience Manager are: Content Storage. Creative Cloud Integration.

Can you use Adobe target without AEM? ›

State-of-the-art Adobe products can be leveraged by any website regardless of its infrastructure. If a business' site isn't built on AEM, it can still be optimized using a variety of integrated AEC technologies, including Adobe Launch, Adobe Analytics and Adobe Target.

How do I enable targeting mode in AEM? ›

In the Targeting engine drop-down menu, select your targeting engine.
  1. If you select ContextHub AEM, the remaining fields are dimmed and not available. ...
  2. If you select Adobe Target, you can select a configuration (by default, it is the configuration you provided when you configured the account) and Activity Type.

How do I create a custom report type? ›

From Setup, enter Report Types in the Quick Find box, then select Report Types. If the Custom Report Type welcome page opens, click Continue. Select the Primary Object for your custom report type. You can choose from all objects—even the objects that you don't have permission to view.

How do I auto add fields to custom report types? ›

Navigate to Setup -> Reports and Dashboards Settings -> Select Auto add new custom fields to custom report type layouts -> click Save.

Is Adobe Analytics a reporting tool? ›

You can create reports to explore, get insights, or answer important questions about your data. You can also manage components of Adobe Analytics, such as the creation of segments or calculated metrics. Reports & Analytics is a tool with dozens of pre-built reports and visualizations.

How do I edit a report wizard? ›

Edit a report. To edit an existing Report Wizard report, first select the report. Then, in the Records group, select Edit. Finally, select Report Wizard.

How do I pull a report from Adobe Analytics? ›

  1. Data requests - Request Wizard Step 1.
  2. Create a data request.
  3. Report suites. Select a report suite. ...
  4. Manage segments.
  5. Report types. Report types overview. ...
  6. Import bookmarked reports and dashboard reportlets.
  7. Date ranges. Request Wizard definitions - preset dates. ...
  8. Interactive controls.

How do I change the report builder version? ›

Manual upgrade instructions

Log in to Adobe Analytics and go to Tools. Click Report Builder. On the Overview screen, select the 32-bit or 64-bit version.

What are the limitations of Adobe target? ›

Content delivery
  • Limit: 100 concurrent Target content delivery requests per user session. ...
  • Limit: 50 mboxes per Target content delivery batch mbox request. ...
  • Limit: 60 MB HTTP POST body size for Target content delivery requests. ...
  • Recommended limit: 50 notifications per Target delivery batch request.
Feb 27, 2023

What is the difference between Adobe Analytics and Audience Manager? ›

Analytics segments have more capabilities than AAM segments. Audience Manager segments are always evaluated at a visitor level. Analytics segments can be defined at a visitor, visit, or hit level (or a combination of these levels).

What are KPIs in Adobe Analytics? ›

A key performance indicator (KPI) is a measurable value that illustrates how effectively a company is performing towards key business objectives. Organizations use KPIs to monitor their success at reaching targets. KPIs help evaluate a company's progress in accomplishing key objectives.

What are 4 methods that can be used to set performance targets? ›

You can use the SMART method of setting goals to ensure that employee performance goals are specific, measurable, achievable, relevant and time-bound. Each goal should clearly tell the employees what they are expected to achieve and within what time frame.

What are the four activities that always need to happen in business analytics? ›

Business analytics is the use of math and statistics to collect, analyze, and interpret data to make better business decisions. There are four key types of business analytics: descriptive, predictive, diagnostic, and prescriptive.

Which is better Google Analytics or Adobe Analytics? ›

Google Analytics 4 vs. Google Analytics 360. The most important difference between Google Analytics and Adobe Analytics is that Adobe Analytics is an actual web analytics tool, while Google Analytics is more appropriate for web reporting. Let's dig deeper into the technical part.

Why is Adobe better than Google Analytics? ›

E Commerce Tracking

Such eCommerce tracking is much better in Adobe Analytics than Google Analytics. Adobe Analytics' predefined and structured reports allow more flexible and detailed audit for eCommerce clicks, conversion cycles and potential customers.

What are the benefits of Adobe target? ›

Benefits of Adobe Target

Use our unified, progressive profile to give the best experience through every channel. Stop guessing with A/B and multivariate testing. Running isolated testing just doesn't cut it. Target lets you easily test everything through every channel every time.

What are the five 5 key steps of data analysis process? ›

In this post we'll explain five steps to get you started with data analysis.
  • STEP 1: DEFINE QUESTIONS & GOALS. The first step in data analysis is to clearly define your questions and goals. ...

What are the 3 steps required for data analysis? ›

These steps and many others fall into three stages of the data analysis process: evaluate, clean, and summarize.

What is the difference between auto-target and automated personalization? ›

Automated Personalization uses the same statistical methodologies as Auto-Target but allows for the creation of new experiences, based on the likelihood of specific elements within those variations (offers) to be more or less compelling to each visitor (based on the propensity models).

What is the difference between auto allocate and auto-target? ›

Auto-Target is designed to deliver maximum optimization, compared to traditional A/B testing or Auto Allocate, by determining which experience to display for each visitor.

What is Adobe target in AEM? ›

You can create experiences and Offers for Target activities by dragging and dropping, swapping, and modifying the layout and content of a web page (or Offer) or mobile web page. VEC is one of the main features of Adobe Target. The VEC lets marketers and designers create and change content using a visual interface.

How to configure IMS for Adobe Target? ›

Configuring an IMS Configuration - Generating a Public Key

The first stage of the configuration is to create an IMS Configuration in AEM and generate the Public Key. In AEM open the Tools menu. In the Security section select Adobe IMS Configurations. Select Create to open the Adobe IMS Technical Account Configuration.

What is Adobe target workspace? ›

Workspaces. The next part of this process takes place in the Admin Console, where you link a product profile to one or multiple properties. This is what Adobe Target calls workspaces. By default, there is always a default workspace, which is assigned to all Target activities.

What is the difference between auto static and extern register in C? ›

register is used to store the variable in CPU registers rather memory location for quick access. Static is used for both global and local variables. Each one has its use case within a C program. Extern is used for data sharing between C project files.

What is the difference between static task and automatic task? ›

A static variable exists for the whole simulation; an automatic variable exists only for the lifetime of the task, function or block - they are created when the task, function or block is entered and destroyed when it is left.

What is the difference between call by value and call by reference? ›

In the Call by Value method, there is no modification in the original value. In the Call by Reference method, there is a modification in the original value. In the case of Call by Value, when we pass the value of the parameter during the calling of the function, it copies them to the function's actual local argument.

What is Adobe Test & Target? ›

Adobe Target, also known as Test and Target, is Adobe's optimisation solution hosted within the Adobe Experience Cloud platform. As well as offering a powerful solution for A/B testing, Adobe Target also enables multivariate testing, personalised and dynamic content solutions and mobile app optimisation.

What are properties in Adobe target? ›

What Adobe Target offers is to group activities logically into properties. The idea behind this concept is that you, as an admin, will limit which activities a user can access. You can then have multiple websites, with multiple properties and each user should only see activities of websites he/she is entitled to.

What are profile scripts in Adobe target? ›

Profile scripts are code snippets defined within Target using a form of server-side JavaScript. For example, you might use a profile script to capture how frequently a visitor visits your site, and when that visitor last visited. Profile scripts are not the same as profile parameters.

What is the difference between Adobe Analytics and Adobe target? ›

Adobe Target is a personalization tool where users can set up various types of tests (like A/B and Multivariate tests) and offer personalized experiences to end users. Adobe Analytics is an analytics insights tool where all data from digital touchpoints is gathered in order to connect the user journey.

What are activities in Adobe target? ›

Activities in Adobe Target let you personalize content to specific audiences and test page designs. For example, you might design an activity that tests two different landing pages, one that highlights information about women's summer shoes, and another landing page that highlights more general summer apparel.

Why do we use Adobe target? ›

This is the purpose of Adobe Target. It identifies which content is the most effective at driving engagements for specific users and user profiles. Target helps businesses identify the most crucial and effective content in their arsenal.

Is Adobe target part of AEM? ›

AEM has adopted the targeting workflow that is used in Adobe Target Standard. If you use Target, you will be familiar with the targeting editing environment in AEM.

What are target profiles? ›

Your target profile encompasses the target audience, helping you encapsulate who responds positively to your products, services and advertisements. It describes their most notable characteristics, such as their age, gender, location and interests.

What are the different methods to upload customer attributes in Adobe target? ›

Customer attribute workflow for Target
  • HTTPS: You can drag-and-drop the . csv data file or click Browse to upload from your file system.
  • FTP: Click the FTP link to upload the file through FTP. First step is to provide a password for the Adobe-provided FTP server. Specify the password, then click Done.
Mar 13, 2022

How do I create an audience in target? ›

Create an audience

Click Audiences in the top menu bar. From the Audiences list, click Create Audience. To copy an existing audience, from the Audiences list, click the More Actions icon (the ellipsis icon), then click Duplicate. You can then edit the audience to create a similar audience.


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