The settings for AI managed groups have undergone a brand-new upgrade

AI managed group settings have been completely upgraded

As the complexity of cross-border e-commerce advertising scenarios increases, sellers face pain points such as repeated configuration of multiple managed groups, cumbersome switching between promotional / daily strategies, and differentiated user requests based on different levels of operational proficiency. This update to the Xnurta AI managed group settings builds a whole-link solution of "strategy precipitation - fine-tuning - intelligent switching" through three core modules: templated reuse, hierarchical operation space, and time-driven strategies. It aims to use a human-machine collaborative model to both lower the operational threshold for casual users and meet the refined configuration requests of hardcore users, ultimately achieving a dual improvement in advertising management efficiency and targeting accuracy, and adapting to major promotional scenarios such as Amazon Black Friday and daily periodic operational needs. The specific update content is as follows

1. Supports template settings for managed groups, which can significantly reduce the time for repeated configuration and enable more efficient management of multiple AI managed groups
2. Supports adding and setting schedules, easily enabling the automated switching of the "regular + special time period" strategy
3. Add more action space to further enhance collaboration between customers and AI
4. The Action Space Interaction has been upgraded, with a new Advanced Settings Mode added to meet the refined user requests for ad optimization from different users

AI managed group setup template

1. Functional background and purpose

By leveraging the template feature, the time spent on repetitive configuration can be significantly reduced, enabling more efficient management of multiple AI managed groups.

To simplify the setup process of AI managed groups and prevent you from repeatedly configuring the same parameters when creating or modifying multiple managed groups, this update introduces the managed group settings template feature. You can save commonly used managed group settings (including basic settings, AI personality, and AI action space) as templates, and then directly reuse them when creating/modifying managed groups in the future to quickly complete the configuration.

2. Operation guide

(1) Save the current managed group settings as a template

After completing the configuration on the "Edit Managed Group" page, you can save the settings as a template. The steps are as follows:

Enter the "Edit managed group" page and complete the required settings (such as optimization goals, target ACOS, AI personality, action space configuration, etc. in "Basic Settings").

Click the "Save as template" button on the page, and the "Save as template" window will pop up

Fill in the template name (required, up to 200 characters), and optionally fill in remarks (to record the template's purpose/characteristics).

Click "Confirm", and the current managed group settings will be saved as a template.

(2) Select and apply existing templates

When creating/modifying a managed group, you can quickly reuse settings through templates. The steps are as follows:

Enter the "Edit managed group" page, and find the "Reference template settings" module in the "Managed settings" area.

Click the drop-down box of "Reference template settings" and select the target template (the drop-down box displays the template name, creator, time, etc., for easy identification).

Click "Apply", and the template configuration will be automatically populated into the current managed group.

can be modified on the basis of the template to meet personalized needs.

(3) Manage existing templates (view, modify, copy, delete)

On the template management page, the following operations can be performed on templates:

View/Modify template: Locate the target template, click "Details" to view the specific configuration, and re-save after making modifications.

Delete template: Locate the target template, click "Details" and confirm, and the template will be removed (applied managed groups will not be affected).

Copy template: Click "Copy" to create a copy, which can be modified based on the copy and saved as a new template.

3. Precautions

Template save scope: includes basic settings (optimization objectives, target ACOS, etc.), AI personality, and AI action space, but does not include information such as managed group name, campaign association, and managed group budget.

The "Total budget for enabled campaigns" setting has been moved to above the campaign list, with no change in functionality. You can still enter a new budget value to batch change the budgets of enabled campaigns within the managed group.

New version action space settings

1. Functional background and purpose

To meet the refined needs of different users for advertising optimization, this update expands the types of action space, adds new features such as "bid dayparting" and "bid adjustment based on performance", details can be found in the "Action Space Description", and also provides two interfaces, "Overview Mode" and "Edit Mode", allowing you to manage advertising optimization strategies more flexibly and efficiently, taking into account both operational efficiency and refined needs.

  "Overview Mode": Designed for casual users, it allows quick viewing of core information (such as action space switches, optimization methods) and completion of simple operations.

  "Edit Mode": Designed for hardcore users, it supports detailed configuration of each action space (optimization methods, advanced settings, etc.) and also allows batch operations.

2. Addressing issues and pain points

The action space settings can be independently controlled by operations, enhancing the freedom of AI action space settings

Prevent the situation where AI hosting is shut down due to a certain action space optimization strategy not meeting expectations, reduce concerns about enabling AI, and help sellers make good use of AI

3. Typical scenarios

Only wants AI to participate in ad optimization to a limited extent, while other optimizations are carried out through rules set by manual operation

Compensate for strategic considerations in the advertising optimization process, other than advertising effectiveness (data metrics), such as:

  For some categories, due to traffic conditions, there are significant differences in total budget and budget allocation methods between working days and weekends, with the budget needing to be significantly reduced on weekends;

  For targeted and negatively targeted harvesting, it is hoped that branded and non-branded keywords can be added to different ad groups respectively

4. Explanation of Action Space

Action Space Type	Action Space	Action Space Responsibilities	Supported Ad Types	Optimization method
Structural Optimization	Pause underperforming products (new)	Pause underperforming products	SP	AI
	Pause underperforming campaigns and adgroups (new)	Pause underperforming campaigns or adgroups	SP	AI
Budget Optimization	Budget dayparting	For campaigns with sufficient data and budget overruns, use AMS hourly data to control the campaign spending during periods with higher conversion rates through budget dayparting settings.	SP/SB	SP：AI、Rule SB：Rule
	Budget boosting	Increase the campaign budget when the campaign data is good and the predicted daily budget is insufficient.	SP/SB	AI、Rule
	Budget reallocation	If campaigns in managed group showing significant performance differences and some campaigns are out of budget, AI will reduce the budget for campaigns with poor performance, while increasing the budget for campaigns with high performance.	SP/SD	AI
Targeted Optimization	Add negative targets	Perform negative targeting for search terms that have incurred spending but generated no orders over a past period, or for non-core converting keywords with a significant gap between their ACOS and the target ACOS. This includes negative keywords (exact match), negative keyword roots (phrase match), and negative ASINs.	SP/SB	AI、Rule
	Target harvesting	If a promoted product has high performance potential and has not yet added converting keywords (data from the search term report, including keywords and ASINs) for targeting, add them to the targeting when the campaign budget allows.	SP/SB/SD	AI、Rule
	Pause targets	Pause underperforming targeting	SP	AI、Rule
Bidding Optimization	Placement multiplier（new）	When different positions show significant performance differences, adjust the percentage for each position based on business objectives and target ACOS.	SP	AI
	Bid dayparting (new)	Use directional AMS hourly data to analyze performance differences across different time periods and increase or decrease bids accordingly during those periods.	SP/SB	SP：AI、Rule SB：Rule
	Adjust bids based on performance (new)	Adjust the base bid for targeting based on business objectives and target ACOS settings.	SP/SB	AI、Rule

5. Operation guide

Overview mode

The interface intuitively displays key information for all action spaces:

Action Space Name

Action Space Switch Status

Current optimization method of the action space ("AI" or "automation rules")

Switch state change: Find the target action space, click the "Switch" button, and you can toggle the "On/Off" state

Edit Mode

(1) Enter edit mode

On the action space settings page, click "Switch to edit mode" to enter the interface that supports fine-grained configuration.

In overview mode, select a specific action space, click "Edit", and directly enter edit mode

(2) Single action space configuration

For each action space, the following settings can be made:

1. Select optimization method (Visible to authorized customers)

AI: Automatically judged and optimized by Xnurta AI.

Automation Rules: Specific rules need to be manually configured, or existing templates of automation rules can be referenced

2. Understand the relationship between AI and rule settings

The rule settings in the AI action space follow the automation rules in the style of the settings interface, and the strategy execution is consistent with the automation rules

Customers can set up brand new rules or quickly reference the rule templates that have already been created within the automated rules module, and make settings and modifications based on them. However, the rule settings saved this time will only affect the settings of the action space and will not have a reverse impact on the settings within the automated rule templates.

Mapping relationship between action space and automation rules

Action Space Type	Action Space	Automation Rules
Structural Optimization	Pause underperforming products (new)	Not supported
	Pause underperforming campaigns and adgroups (new)	Not supported
Budget Optimization	Budget dayparting	Budget dayparting
	Budget boosting	Budget rules
	Budget reallocation	Not supported
Targeted Optimization	Add negative targets	Keyword negation
	Target harvesting	Keyword harvesting
	Pause targets	Targeting rule - pause targeting strategy
Bidding Optimization	Placement multiplier（new）	Not supported
	Bid dayparting (new)	Bid dayparting
	Adjust bids based on performance (new)	Targeting Rules - Increase Bid, Decrease Bid, Set Bid Strategy

Advanced Settings
Advanced configuration items for each action space (such as optimization frequency, priority, threshold range, etc.)

Corresponding Action Space	Effective Level	Setting Item	Description
Budget boosting	It only takes effect when the optimization method is set to AI	Budget increase range (absolute value/ percentage)	is related to the state of the budget reallocation action space The action space for budget reallocation is closed. This setting is used to control the daily budget increase of each advertising campaign after AI optimization. Budget reallocation action space is enabled. This setting is used to control the daily budget increase of advertising campaigns across the entire managed group after AI optimization.
Target harvesting	All optimization methods are in effect	Harvest Blocklist (associated word library)	Check the corresponding word bank; words on the blocklist will not be harvested.
Target harvesting	All optimization methods are in effect	Precisely deny in source ads	After the search term is harvested as a targeting term, in the source ad group of the search term, add the corresponding search term as a negative targeting term in an exact match type If the source ad group is the same as the target ad group, it will not be added as a negative targeting
Pause targets	It only takes effect when the optimization method is set to AI	Targeted supplementation	After AI optimization and pausing targeting, the same number of targeting options are simultaneously supplemented
Add negative targets	All optimization methods are in effect	Negative allowlist (Associated Word Library)	Check the corresponding word list; words on the allowlist will not be negated
Adjust bids based on performance/Bid dayparting	All optimization methods are in effect	Bidding Range (absolute Value/coefficient)	This setting is used to control the final bid range for each targeting after optimization

(3) Batch Operations

For multiple action spaces, the following operations can be performed in batch:

Batch Switch: Check multiple action spaces, click "Open" or "Close" to uniformly change the status.

Batch switch optimization method: Check multiple action spaces, click "Change Optimization Method", and select "AI" or "Automation Rules".

(4) Submit Modifications

After all action space settings (single configuration, batch operations) are completed, click the "Submit" button to save all changes at once.

5. Compatibility of Each Action Space

Budget Optimization Action Space

When the action space is closed, the budget of the advertising campaign will be reset to the value corresponding to the "Daily Budget" field in the Xnurta system

Action Space - Optimization Method	Budget dayparting - Rule	Budget adjustment by performance - Rule
Budget dayparting - AI	❌ Within the same action space, choose 1 out of 2 optimization methods	❌ It is not recommended to enable both simultaneously. If both are enabled at the same time, only the automated rules will be executed.
Budget reallocation - AI	✅ Compatible Execution	✅ Compatible Execution
Budget boosting - AI	❌ It is not recommended to enable both simultaneously. If both are enabled at the same time, only the automated rules will be executed.	❌ Within the same action space, choose 1 out of 2 optimization methods

If budget dayparting and performance-based budget adjustment are enabled simultaneously, the final execution results will be referenced accordingly.

budget dayparting optimization methods	Budget boosting - Optimization Method	Final result	Remarks
AI	AI	AI
AI	Rule	Budget boosting - Rule	AI enters cooling-off period, no budget dayparting
Rule	AI	Budget dayparting- Rule	AI enters cooling-off period, no budget boosting and o budget dayparting
Rule	Rule	Budget boosting - Rule	AI enters the cooling-off period, without budget dayparting or budget boosting

Targeted optimization of the action space

Action Space - Optimization Method	Add negative targeting - Rule	Target harvesting - Rule	Pause target - Rule
Target harvesting - AI	✅ Compatible Execution	❌ Within the same action space, choose 1 out of 2 optimization methods	✅ Compatible Execution
Pause target - AI	✅ Compatible Execution	✅ Compatible Execution	❌ Within the same action space, choose 1 out of 2 optimization methods
Add negative targeting - AI	❌ Within the same action space, choose 1 out of 2 optimization methods	✅ Compatible Execution	✅ Compatible Execution

Bidding Optimization Action Space

When the action space is closed, the targeted bid will be reset to the value corresponding to the "bid" field in the Xnurta system

Action Space - Optimization Method	Placement multiplier - Rule	Bid adjustment by Performance - Rule	Bid dayparting- Rule
Placement multiplier - AI	❌ Automation compatibility is not supported.	✅ Compatible Execution	✅ Compatible Execution
Bid adjustment based on performance - AI	✅ Compatible Execution	❌ In the same action space, choose 1 out of 2 optimization methods	✅ Compatible Execution
Bid dayparting - AI	✅ Compatible Execution	✅ Compatible Execution	❌ In the same action space, choose 1 out of 2 optimization methods

6. Precautions

Some advanced settings are "optional configurations". If you are not familiar with the ad optimization logic, you can prioritize using the "AI" optimization method, and then decide whether to configure them based on the actual implementation results.

Batch operations will overwrite the original settings of the selected action space. Please double-check the settings before submission.

 

AI Managed group scheduling (visible to authorized customers)

1. Functional background and purpose

To meet the requirement of "differentiated managed group setting strategies for different time periods" (such as Amazon's Black Friday promotion, special delivery logic required on Saturdays/Sundays), this update supports scheduling for managed group strategies: special schedules can be set for "specified date ranges" or "by day of the week frequency", with automatic switching to the schedule at the appointed time (only 1 schedule is effective at the same time), eliminating the need for manual adjustment and enhancing the flexibility of delivery and the strategy adaptability during promotions/special periods.

2. Addressing issues and pain points

During the product promotion period, avoid manually changing the managed group settings, and the store will automatically switch strategies at 0:00.

3. Operation guide

Scheduling for adding policies to single trustee group

On the "Edit managed group" page, you can add a specified schedule. The steps are as follows:

(1) Enter the scheduling settings

At the top of the basic settings of the managed group, click "+ Add schedule" to pop up the schedule settings options.

(2) Select the scheduling type

Supports two scheduling methods, choose as needed:

1. Set by Time Range:
Select "Set by Time Range", fill in the "Start Time" and "End Time", such as "2025-11-28 00:00:00" (start of Black Friday) to "2025-11-30 23:59:59" (end of Black Friday). For scheduling set based on a time range, it is recommended to choose a period of 3 days or more.

2. Set by Weekday:
Select "Set by Weekday", check the target weekdays (e.g., "Saturday", "Sunday"), and after setting, the corresponding dates will automatically take effect each week.

(3) Configure the scheduling strategy

Set special strategies for this scheduling, covering the following content:

Basic Settings: Adjust optimization objectives and target ACOS (e.g., lower the ACOS target during major promotions to prioritize order volume).

AI Personality: Modify the AI's "conservative/aggressive" tendency (e.g., set it to 5 during major promotions for more aggressive volume acquisition).

AI Action Space Settings: Adjust the optimization logic of each action space

Xnurta does not recommend frequent switching of the basic settings and AI personality in the managed group settings, as it will have a significant impact on the AI effect. Attention should be paid to the scheduling set with the "by week" frequency. It does not support individual modification of the basic settings and AI personality. Once a change occurs, it will simultaneously affect the default strategy for all time periods

(4) Save the schedule

After configuration is completed, click "Confirm", and the schedule will be added to the schedule list of the managed group, with the "In Effect" label displayed when it takes effect.

 

(5) Scheduling display in the managed group list

If there is currently a schedule in the "active" status, the corresponding managed objectives, AI persona, AI action space, and target ACOS-related settings can be referenced in the relevant columns starting with "active schedule" on the managed group list page.

Making changes to the managed objectives, AI persona, AI action space, and target ACOS-related settings for "All time" will only affect the settings for "All time" within the managed group and will not simultaneously alter the relevant settings of the active schedule.

Batch add strategy scheduling

If you need to set the same schedule for multiple managed groups simultaneously, you can achieve this through "batch operations". The steps are as follows:

On the managed group list page, check multiple managed groups that need to be set in batch.

Click "Batch operations" → "Add scheduling" to enter the batch scheduling settings interface.

Select the scheduling type (by time range / by weekday), and configure the corresponding "Basic Settings, AI Personality, Action Space" strategies.

Click "Confirm", and the selected hosting group will simultaneously add this schedule.

Scheduling management and automatic switching

(1) Scheduling status and switching logic

At the same time, only one policy in the managed group is effective: the default base policy for "All Time" is displayed; when the time range of the "Specified Schedule" is triggered, it automatically switches to the special policy for that schedule; after the schedule ends, it automatically switches back to the base policy for "All Time".

If multiple conflicting schedules are set, the system will take effect according to the logic of "more precise time range, earlier creation time" first.

For example, if Schedule A is from 2025-11-01 to 2025-11-30, and Schedule B is on Saturdays/Sundays, then the schedule set by time range has a higher priority. That is, on 2025-11-01, Schedule A will be in effect, and the in-effect schedule will display the "In Effect" label.

(2) Schedule editing and deletion

Edit Schedule: In the schedule list, click the "Edit" icon of the target schedule (or the edit entry that appears when hovering) to modify the schedule time and strategy content.

Delete a schedule: Hover the mouse over the schedule tab, a "Delete" button will appear, click it to remove the schedule (deleting an active schedule will automatically switch back to "All Time" after submitting the settings).

 

Typical scenario setup instructions

#	Scene Description	Setting Method	post script
1	On weekends or specific times, it is necessary to increase/decrease the budget and apply dayparting strategies that differ from those on weekdays.	Select the budget dayparting action space, and choose custom rules for the optimization method Select the weekly mode and set weekend and weekday strategies separately	Users perform time-sharing and control budgets through custom rules For example: the budget during special periods is 50% of that on regular days Daily Period Special Time Period
2	Reduce/increase the daily budget on weekends or specific times, then add budget based on performance	Use managed group scheduling to add weekend scheduling Select the action space for Budget boosting, and choose custom rules as the optimization method	Select a time point to decrease/increase the budget. Set conditions for adding budget based on performance.
3	The major promotion requires changing the promotion target and target ACOS	Use the managed group scheduling and add a major promotion strategy Select basic settings and change the value
4	Target harvesting action space, add blocklist, and custom rules also need to be judged	The setting of action space simultaneously affects AI and rule
5	Customize the conditions for target harvesting and target negation	Action space setting, optimization method selects rule
6	Set the upper and lower limits of the bidding range	The setting of action space simultaneously affects AI and rule