Chiyo Fujimoto

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Case ID 17906893391: Help creating a campaign:

Hi, I would like to ask more about how t...
Status: Resolved Date created: Jun 13, 2025, 4:36 a.m. GMT+2
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From: Chiyo Fujimoto

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Date: Jun 13, 2025, 9:59 a.m. GMT+2

Hi, I would like to ask more about how to create an appropriate

Chiyo advertising campaign. I want to optimize my ads when targeting
04:36 a.m.
Fujimoto my keywords. Please let me know how many keywords I should
target per campaign for each type of target.

Hello! Here are the recommended keyword targeting guidelines

for your advertising campaigns:

Initial Campaign Setup:

• Start with a minimum of 25 keywords per campaign/ad group
• You can have up to 1,000 keywords in manually targeted
campaigns
• Individual keywords can contain up to 10 words (80 characters
maximum)
Amazon
Ads To optimize campaign performance:
04:37 a.m.
Virtual • Review campaign metrics after 2 weeks
Assistant • Remove underperforming keywords
• Increase bids on keywords showing good performance
• Utilize Search term reports to find successful converting terms

If you reach the maximum keyword limit, consider:

• Setting up automatic targeting campaigns
• Using broad match keyword combinations

Would you like me to elaborate on any specific aspect of

keyword targeting?
 keyword targeting?

© 2025 Thankcentre
Support you for the clarification.
Case log I’d like to better understand how
Amazon.com, Inc. toConditions
target keywords depending
of use Privacy onnotice
the match type. Could
Amazon you
Advertising Agreement Status
or its affiliates. please explain how many keywords you recommend for each
match type (Exact, Phrase, Broad), and how I should structure
Chiyo my campaigns accordingly?
04:39 a.m.
Fujimoto
Also, I would appreciate your guidance on how to effectively
combine manual targeting (Exact, Phrase, Broad) with automatic
campaigns for best performance.

Here is a recommended approach for structuring your keyword

targeting and campaign optimization:

Initial Campaign Structure:

• Set up one automatic campaign to gather performance data
• Create a manual campaign for keyword targeting
• Establish a manual campaign for product targeting

Recommended Keyword Distribution:

• Broad Match: Start with 20-30 keywords to discover new
search terms
• Phrase Match: Use 15-20 keywords derived from top
performers
Amazon
• Exact Match: Focus on 10-15 keywords with proven conversion
Ads
history 04:41 a.m.
Virtual
Assistant
Campaign Optimization Strategy:
1. Run your automatic campaign for 2 weeks to collect data
2. Review and transfer successful search terms to manual
campaigns
3. Implement negative keywords to prevent campaign overlap
4. Continuously adjust bids based on performance

Important Note: While match types cannot be modified after

campaign creation, you can add new keywords with different
match types during the campaign lifecycle.

Would you like me to elaborate on any specific aspect of this

strategy?

Thank you, that’s very helpful. Let’s say I already have a well-
researched list of potential keywords based on my product and
audience. If I want to set up campaigns from the beginning that
include all three match types (Exact, Phrase, and Broad), how
should I structure and optimize them to avoid overlap and
Chiyo
maximize performance? 04:46 a.m.
Fujimoto

Should I split them into separate ad groups or campaigns by

match type? And how can I best allocate bids for each match
type when using the same keyword in different forms?
 Support
Here'scentre Case logapproach for structuring your
the recommended
campaigns with different match types:

1. Campaign Structure:
• Create separate campaigns for each match type to maintain
better control
• Start with a broad match campaign to gather data
• Run parallel phrase and exact match campaigns with your
proven keywords
• Use negative keywords across campaigns to prevent overlap

2. Bid Strategy:
• Set higher bids for exact match (highest precision)
Amazon • Medium bids for phrase match
Ads • Lower bids for broad match
04:47 a.m.
Virtual • Use dynamic bidding (up and down) to optimize automatically
Assistant
3. Optimization Process:
• Run campaigns for at least 2 weeks to gather data
• Use broad match findings to refine phrase and exact match
keywords
• Monitor search term reports to identify top performers
• Regularly adjust bids based on performance metrics

Remember: Match types cannot be changed after campaign

creation, but you can add new keywords with different match
types while campaigns are running.

Would you like me to elaborate on any specific aspect of this

campaign structure or bid strategy?

Thanks again for the insights! I have a few more questions

regarding keyword selection and potential internal competition:

If I target the same keyword using multiple match types (e.g.,

Exact, Phrase, Broad) within the same campaign or across
campaigns, will they compete against each other? How does
Amazon determine which version gets shown?
Chiyo
05:31 a.m.
Fujimoto
Similarly, if I target both a short keyword (e.g., “funny cat”) and
a longer keyword that includes it (e.g., “funny cat t-shirt”), is
there a risk of internal competition between them? How should I
manage this to avoid inefficiencies?

I'd appreciate any advice on how to structure and prioritize such

keywords in my campaigns.

Thank you for your questions about keyword targeting and

campaign structure. Here is how keyword targeting works on
Amazon Advertising:
 Multiple Match Types:
Support centre
- Using the sameCase log across different match types (Exact,
keyword
Phrase, Broad) does not create internal competition
- The system treats it as a single bidding opportunity, ensuring
efficient ad delivery
- Your campaigns maintain their intended reach without losing
impressions

Keyword Variations:
Amazon - When using both short and long-form keywords (like funny cat
Ads and funny cat t-shirt):
05:32 a.m.
Virtual - The system automatically handles semantic matching between
Assistant related terms
- You do not need to create multiple variations of similar
keywords

Recommended Campaign Structure:

- Group similar keyword-product combinations in the same
campaign
- Implement negative keywords to maintain targeting precision
- Organize campaigns by theme for better management
- Consider combining broad match with negative exact match
keywords for optimal control

Let me know if you would like me to elaborate on any of these

points.

Thanks for the explanation! I have one more question:

If I want to target potential misspellings or common typos that

customers might search for, should I include those misspelled
keywords directly in my campaigns? Or does Amazon
automatically match for common misspellings and close
Chiyo
variants? 06:06 a.m.
Fujimoto

I’d also like to know if there's any downside or best practice

when manually adding misspelled keywords. Do misspelled
keywords work better with Broad or Phrase match types, or
should I always add them as Exact to be safe?

Thank you for your question! Let me address your concerns

about keyword misspellings:

Amazon's system automatically handles common misspellings

and variations through semantic matching, so manually adding
misspelled keywords is generally not necessary. Here's what you
need to know:

1. Automatic Matching:
- The system intelligently matches semantically similar terms
and common misspellings
 - Broad match type already covers variations and misspellings

Amazon Support centre Case log

2. Recommended Strategy:
Ads
- Use broad match targeting to capture variations naturally 06:07 a.m.
Virtual
- Monitor Search Term Reports to understand actual customer
Assistant
search patterns
- Only add specific variations if you see consistent performance
in your reports

3. Match Type Considerations:

- Broad match is most effective for capturing variations and
misspellings
- Adding misspelled keywords as exact match may limit your
reach unnecessarily

The most efficient approach is to let Amazon's automatic

matching handle variations while using Search Term Reports to
guide your keyword optimization strategy.

Thank you for your previous guidance on match types,

misspellings, and campaign structure. Based on that advice and
my own research, I’ve created a campaign titled:

KwTarget-American Flag Childhood Cancer Awareness Warrior

Fighter – (68c69959-4ee9-42fa-9081-536317b93749)

This campaign is focused on T-shirt products and targets a range

of keywords related to childhood cancer awareness. I’ve
structured my keyword targeting as follows:

List of keywords I researched and think are potential:

childhood cancer shirts
childhood cancer awareness shirts
childhood cancer awareness shirt
gold childhood cancer shirt
pediatric cancer awareness shirt
childhood cancer
in september we wear gold childhood cancer shirt
gold cancer awareness shirt
go gold for childhood cancer shirts
yellow childhood cancer awareness shirts
childhood cancer awareness
pediatric cancer awareness
i wear gold for childhood cancer awareness
i wear gold for childhood cancer awareness shirt
cancer awareness shirts
childhood cancer awareness month
cancer awareness shirt
childhood cancer awareness shirts kids
cancer awareness shirts for women
childhood cancer shirt
 After centre
Support carefully analyzing
Case logthe data of the above keywords, I have
come up with the keywords to use with the bid coefficient and
match type as:
childhood cancer awareness/1.3/Exact
childhood cancer awareness/1.1/Phrase
pediatric cancer awareness/1.2/Exact
pediatric cancer awareness/1.0/Phrase
i wear gold for childhood cancer awareness/1.4/Exact
i wear gold for childhood cancer awareness/1.2/Phrase
childhood cancer awareness month/1.1/Exact
childhood cancer awareness month/0.9/Phrase
gold cancer awareness/1.0/Exact
gold cancer awareness/0.8/Phrase
go gold for childhood cancer/1.2/Exact
go gold for childhood cancer/1.0/Phrase
cancer awareness/0.5/Exact
cancer awareness/0.3/Phrase
Chiyo childhood cancer/0.9/Exact
06:26 a.m.
Fujimoto childhood cancer/0.7/Phrase
childhood cancer shirts/1.4/Exact
childhood cancer shirts/1.1/Phrase
childhood cancer awareness shirts/1.4/Exact
childhood cancer awareness shirts/1.2/Phrase
childhood cancer awareness shirt/1.3/Exact
childhood cancer awareness shirt/1.1/Phrase
gold childhood cancer shirt/1.2/Exact
gold childhood cancer shirt/1.0/Phrase
pediatric cancer awareness shirt/1.2/Exact
pediatric cancer awareness shirt/1.0/Phrase
in september we wear gold childhood cancer shirt/1.3/Exact
in september we wear gold childhood cancer shirt/1.0/Phrase
go gold for childhood cancer shirts/1.2/Exact
go gold for childhood cancer shirts/1.0/Phrase
yellow childhood cancer awareness shirts/1.1/Exact
yellow childhood cancer awareness shirts/0.9/Phrase
cancer awareness shirts/1.0/Exact
cancer awareness shirts/0.8/Phrase
childhood cancer shirt/1.2/Exact
childhood cancer shirt/1.0/Phrase
i wear gold for childhood cancer awareness shirt/1.3/Exact
i wear gold for childhood cancer awareness shirt/1.1/Phrase
cancer awareness shirt/0.9/Exact
cancer awareness shirt/0.7/Phrase
childhood cancer awareness shirts kids/1.0/Exact
childhood cancer awareness shirts kids/0.8/Phrase
cancer awareness shirts for women/1.0/Exact
cancer awareness shirts for women/0.8/Phrase

My Questions:
Based on the above structure and keyword list do you think my
 Based on the above structure and keyword list, do you think my
campaign is well-optimized?
Support centre
Are there Case log you would recommend in terms of:
any improvements
Keyword selection or redundancy
Match type usage
Bid allocation strategy

Campaign structure for this specific product niche

Is there any risk of inefficiency or overlap between similar
keywords (e.g., singular vs. plural, long-tail vs. short-tail)?

Do you recommend further segmentation (e.g., by gender or

audience type) to improve performance?

I would greatly appreciate a detailed review or suggestions to

help refine and maximize the performance of this campaign.

Your campaign structure shows thoughtful organization and

strategy. Here is a detailed analysis and recommendations for
optimization:Strengths of Current Setup:- Well-structured use of
exact and phrase match types- Strategic bid coefficients with
higher values for exact matches- Comprehensive keyword
coverage for the product nicheRecommended Improvements:1.
Keyword Organization:- Segment your campaign into three
distinct ad groups: • General Awareness (e.g., childhood cancer
awareness, pediatric cancer awareness) • Product-Specific (e.g.,
cancer awareness shirts, childhood cancer shirts) •
Seasonal/Special Terms (e.g., september gold, warrior fighter
terms)2. Bid Strategy Enhancement:- Your bid coefficient range
Amazon (0.3-1.4) is appropriate- Consider reducing redundancy in similar
Ads keywords to improve budget efficiency- Implement negative
06:27 a.m.
Virtual keywords to prevent overlap between phrase and exact
Assistant matches3. Campaign Structure Optimization:- Create separate
ad groups for different audience segments (e.g., women's shirts,
kids' shirts)- Consider splitting seasonal terms into their own
campaign for better budget control- Group keywords with
similar bid coefficients together for easier management4.
Keyword Refinement:- Remove duplicate variations
(singular/plural) as the system handles these automatically-
Focus budget on top-performing specific terms rather than
broad generic terms- Consider adding broad match modifier for
top keywords to capture relevant variationsYour overall
approach is solid, with good attention to match types and bid
strategy. Implementing these refinements should help improve
campaign performance and efficiency.

Thank you for the thorough analysis and helpful suggestions. I’d
like to further refine my campaign based on your
recommendations.
 Couldcentre
Support you pleaseCase
provide
log a specific example of how I should
restructure part of my campaign according to your guidance?
For instance:

How would you group 6–8 of my current keywords into the

suggested ad group structure (General Awareness, Product-
Specific, Seasonal/Special Terms)?
Chiyo
06:35 a.m.
Fujimoto
Could you show how you would adjust bids or remove
redundancies in that sample?

Additionally, what example negative keywords would you apply

between ad groups to avoid overlap?

A concrete example would help me better apply your advice

across the rest of the campaign.

Looking forward to your suggestions. Thanks again for your

support!

Thank you for your interest in optimizing your campaign

structure. Here is a detailed breakdown of the recommended ad
group organization:

General Awareness Ad Group:

• childhood cancer awareness (Exact match, 1.3 bid coefficient)
• pediatric cancer awareness (Exact match, 1.2 bid coefficient)
Negative keywords: -shirt, -tshirt, -t-shirt

Product-Specific Ad Group:
• childhood cancer awareness shirt (Exact match, 1.3 bid
coefficient)
• cancer awareness shirts for women (Exact match, 1.0 bid
coefficient)
Amazon Negative keywords: month, september
Ads
06:36 a.m.
Virtual Seasonal/Special Terms Ad Group:
Assistant • in september we wear gold childhood cancer shirt (Exact
match, 1.3 bid coefficient)
• go gold for childhood cancer (Exact match, 1.2 bid coefficient)
Negative keywords: cancer awareness

Bid Strategy Optimization:

• High-intent keywords: 1.3-1.4 bid coefficient
• Broad awareness terms: 0.8-1.0 bid coefficient
• Remove phrase match variations where exact match performs
well

This structure helps prevent keyword overlap while maintaining

efficient budget allocation across your campaign. Let me know if
you would like me to clarify any specific aspects of this
 y y y p p
organization.
Support centre Case log
I am currently optimizing in a way that multiple products with
the same design run the same campaign. And each ad group in
Chiyo it is dedicated to a type of product and will have different
08:34 a.m.
Fujimoto keywords suitable for each type of product. If with your
suggestion, I will not be able to use the structure of the current
campaign, right?

FINAL_ANSWER

{"response_state": "FINAL_ANSWER", "text": "Your current

campaign structure is well-aligned with advertising best
practices. Here's a clear breakdown of why your approach is
effective:

1. Campaign Level Organization:

- Running multiple products with the same design in one
campaign maintains efficiency
- Enables consistent branding across product variations

2. Ad Group Structure:
Ads - Your method of dedicating ad groups to specific product types
08:34 a.m.
Assistant allows for:
• Targeted keywords for each product type
• Product-specific bid adjustments
• Effective budget management

3. Keyword Strategy:
- Product-specific keywords within each ad group ensure
relevant targeting
- Enables customized bidding strategies per product type

You can continue using your existing campaign structure while

implementing any optimization recommendations within your
current ad groups.“}

To make sure I’m applying the most effective structure, I’d like
to ask a more specific question:

In my current setup, I run one campaign per design, and within

that campaign, I create separate ad groups for each product
type (e.g., T-shirt, Hoodie, Sweatshirt). Each ad group contains
only the keywords that are suitable for that product type. This
helps me manage performance and bids for each product
variation while keeping the design-focused branding consistent.

In your earlier recommendation, you suggested organizing ad

groups by keyword theme (e.g., General Awareness, Product-
Specific, Seasonal Terms), rather than by product type.

Could you please clarify:

 Could you please clarify:

Chiyo Support centre Case log

Which structure is more effective for long-term optimization 08:38 a.m.
Fujimoto
and scaling:
a) Ad groups based on product types, or
b) Ad groups based on keyword themes/intents (as in your
example)?

If I want to keep both keyword intent segmentation and

product-specific control, is there a hybrid structure you would
recommend?

Would you suggest separating product types into different

campaigns instead of ad groups, especially when the design is
shared?

I’d appreciate a detailed recommendation for how to structure a

campaign in this scenario.

Your current campaign structure is well-aligned with best

practices. Here's a detailed recommendation for optimizing your
setup:

1. Keep Your Current Foundation:

- Continue with campaign-per-design approach
- Maintain product type-based ad groups (T-shirts, Hoodies, etc.)
- This structure effectively supports product-specific bid
management and performance tracking

2. Implement This Hybrid Approach:

- Organize primary ad groups by product type
- Within each product-type ad group, segment keywords by
theme:
• Core product-specific keywords
• Seasonal variations
• General awareness terms
Ads
08:39 a.m.
Assistant
3. Optimization Guidelines:
- Group similar products together (maximum 1,000 products per
ad group)
- Use shared targeting and bidding settings within product
categories
- Review performance after 2 weeks
- Adjust bids based on product-specific results

4. Best Practices:
- Create clear, descriptive ad group names
- Apply relevant keyword targets across similar products
- Maintain your design-focused campaign structure
- Use separate bid strategies for different product types

Thi t t id th ti lb l b t d t
 This structure provides the optimal balance between product-
specific control and keyword theme organization while
Support centre Case log
supporting long-term scaling efforts.

I’d like to clarify one important technical point:

In your suggestion, you mentioned that within each product-

type ad group, I should organize keywords into subgroups by
theme (e.g., core product-specific, seasonal variations, general
awareness). However, as far as I understand, Amazon Ads does
not allow creating keyword groups or applying separate settings
within a single ad group — all keywords in the same ad group
share the same targeting, bidding, and negative keyword
settings.

Chiyo
So could you please clarify: 09:25 a.m.
Fujimoto

When you recommend segmenting keywords by theme within

one ad group, is this purely for internal management and
analysis purposes?

Or do you suggest creating separate ad groups per keyword

theme, even if they are targeting the same product type?

I want to ensure that I’m applying the most technically effective

structure, and I’d appreciate clarification on how this
segmentation works in practice within Amazon’s system.

You are correct about Amazon Ads' technical limitations. Here is

the accurate structure information:

Technical Platform Limitations:

- Amazon Ads does not allow keyword subgroups within ad
groups
- All keywords in an ad group share the same targeting and bid
settings
- Negative keywords and bid adjustments apply to the entire ad
group

Recommended Structure:
- Create separate campaigns for each design
Ads
- Set up distinct ad groups for each product type (T-shirt, 09:26 a.m.
Assistant
Hoodie, etc.)
- Include all relevant keywords for that specific product type in
its respective ad group

Best Practices:
- Maintain product type-based ad group organization
- Implement clear naming conventions for tracking
- Set bid adjustments at the ad group level
- Apply negative keywords at the ad group level

Your current approach of organizing by product type aligns with

 Your current approach of organizing by product type aligns with
the platform's capabilities. We apologize for any confusion
Support centre
regarding keywordCase log segmentation within ad groups.
theme

Thank you for all your support so far. Based on our previous
discussions, I’d like to clarify one final point:

What is the most optimal campaign structure for advertising

when I have:

One design applied across multiple product types (T-shirts,

Hoodies, Sweatshirts, etc.)

A set of well-researched keywords categorized by relevance and

search intent

A goal of achieving both efficient performance tracking and

scalable optimization
Chiyo
09:42 a.m.
Fujimoto More specifically:

Should I continue with one campaign per design, and one ad

group per product type within that campaign?

Or would it be more effective to create separate campaigns per

product type, even if the design is the same?

How should I organize keywords to maximize performance while

staying within Amazon Ads platform limitations?

I’m looking for the most scalable and performance-oriented

structure, considering long-term ad optimization, bid control,
and reporting clarity.