How To Create Audience Prompts Using Custom Models

Congratulations, you are now a data scientist

No seriously. 

What used to take a dedicated data scientist creating a custom model and charging thousands of dollars is now something you can do within about 20 minutes. 

Crazy, right? 

All you need to do is explain who your ideal customer is by creating an ‘audience prompt’ then use it to create a model. 

This model takes around 8 hours to ‘learn’ – then once complete it will act as any other segment which you can edit, refresh and use for client(s). 

How To Get Started: 

  1. To access custom models, open your account at app.audiencelab.io and you will see a feature that says ‘custom’ when trying to create an audience.

    If you do not have access already, make sure to ‘submit your add-on here’.

  1. Once inside, you can see the custom models option. To create a custom model you just need a ‘topic’ and a ‘description’.

    DO NOT JUST TYPE SOMETHING RANDOM EVEN OR EVEN TRY TEST! Anything you type in will be submitted (even if it does not look like it) and our system will attempt creating a custom model. The next session will show you how to create a prompt.

How to Create the ‘Audience Prompt’: 

  1. Teach ChatGPT the taxonomy:  

    Open Chat GPT – we recommend using the latest model however any free version will also work. 


Example of prompt flow: https://chatgpt.com/c/9462398a-e5c0-4d0e-852d-70fb8599bec9

  1. Input the keywords and topics:

    Copy and paste the prompts – colour code:
    1. Black = Copy and paste prompt 
    2. Blue = Reply from ChatGPT (don’t copy and paste) 
    3. Red = Something you need to upload/include. Don’t write this as the prompt, this means you need to actually upload the file]. 
  1. Edit the prompt to include any details missed:

    Once you get to the final outputs, you will want to ensure your prompt is detailed enough – use the prompt:

    “Rewrite the description above and include more [topic/keywords about what you want to include]” 
  1. Test the prompt: 


Ask “Using this prompt, can you recommend to me 3 websites online that would currently provide this service?” 

If the websites are accurate to your Ideal Customer Prospect – then you have a winner. 

  1. Optimise for NLP + AI so that you can remove any “noise” 

Ask: “Optimize this by avoiding any extra words or phrases that might create noise for our NLP and semantic data process that parses URLs site relevance” 

TEMPLATE:

Prompt: Do you know what the Bombora Topic Taxonomy is?

The Bombora Topic Taxonomy is a structured framework developed by Bombora, a company that specializes in providing B2B (business-to-business) intent data. This taxonomy categorizes various topics and content areas that are relevant to business and marketing contexts. It’s used primarily for understanding and predicting the purchase intent of organizations based on their online activities.

By tracking how often and how deeply businesses engage with specific topics across different websites and channels, Bombora can help marketers and sales professionals identify companies that are actively researching products or services, thereby indicating potential buying interest. This taxonomy allows for a systematic approach to classify and analyze these interests, making it easier for businesses to tailor their marketing strategies effectively.

Prompt: [Upload Taxonomy Sample File] 

We have a similar taxonomy for b2c. Here is a sample. 

Great! I see you’ve uploaded a sample file related to your B2C taxonomy. How can I assist you with this file? Do you want to review the content, analyse specific aspects of the data, or something else?

Use this taxonomy as a *example* e.g. the way the topics are written, and create a topic description using the following keywords below: 

[Enter list of keywords, 1 keyword per line] 

I’ll start by examining the contents of the taxonomy and keyword files you’ve uploaded. I’ll then use the taxonomy as a reference to craft topic descriptions using your provided keywords. Let’s begin by checking the files.

The taxonomy sample includes categories and subcategories under a parent intent, and it lists topics specific to those categories. The keywords file contains specific phrases related to accident types and their associated search volumes.

To create topic descriptions for a B2C taxonomy using your keywords, I’ll take inspiration from the structure of your sample taxonomy. I’ll formulate descriptions for a new category, likely under a parent category such as “Legal Services” or “Personal Safety,” using the keywords related to accidents.

Here are some examples:

  1. Parent: Legal Services
    Category: Personal Injury Law
    Sub Category: Vehicle Accidents
    Topic: Car Accident Lawyers
    Description: Focusing on legal professionals specializing in car accident claims, this topic encompasses expertise in handling cases of vehicular mishaps and ensuring rightful compensation.
  2. Parent: Legal Services
    Category: Personal Injury Law
    Sub Category: Vehicle Accidents
    Topic: Auto Accident Attorneys
    Description: Dedicated to legal advice and representation in cases of auto accidents, this topic covers the services of attorneys skilled in navigating the complexities of automotive injury law.

Would you like more examples or specific modifications to these descriptions? ​​

Prompt: Rewrite the description and note the keyword list I provided above contains other types of incidents not related to just vehicles. E.g. trip and fall, premises liability, dog attack, pedestrian, bikes. Also consider uber and Lyft. 

Thank you for clarifying the breadth of the topics. Let’s expand the taxonomy descriptions to include a wider range of accident types and incorporate services related to incidents involving Uber and Lyft. Here are revised topic descriptions for a B2C taxonomy tailored to your specified needs:

  1. Parent: Legal Services
    Category: Personal Injury Law
    Sub Category: Traffic Accidents
    Topic: Vehicle Accident Lawyers
    Description: Covering legal professionals with a focus on traffic-related accidents, this topic includes expertise in car, bike, and pedestrian accidents. It also encompasses specialized cases involving ride-sharing services like Uber and Lyft, ensuring comprehensive legal support for vehicular mishaps.
  2. Parent: Legal Services
    Category: Personal Injury Law
    Sub Category: Premises Liability
    Topic: Trip and Fall Attorneys
    Description: This topic addresses legal experts skilled in cases of slip, trip, and fall incidents, whether occurring in public or private premises. It covers all aspects of liability and compensation claims, offering essential resources for victims of such accidents.
  3. Parent: Legal Services
    Category: Personal Injury Law
    Sub Category: Animal-Related Incidents
    Topic: Dog Attack Lawyers
    Description: Focused on incidents involving animal attacks, particularly dogs, this topic offers access to attorneys who specialize in handling cases of animal-induced injuries, advocating for victim rights and appropriate remedies.

Would these descriptions suit your needs? If you have other specific areas or details you want included, feel free to let me know!

Prompt: “Rewrite the description above and include more [topic/keywords about what you want to include]” 

Best Practices

  1. General Topic Title: 
    • Fashion for women 
  2. Describe the main focus of the topic. 
    • Example: “This topic focuses on the latest trends in female fashion, highlighting trendy materials and innovative designs.”
  3. Target Audience:
    • Example: “This topic targets fashion conscious female consumers, primarily aged 18-35, who are interested in trend concious living and fashion.”
  4. Content Scope:
    • Example: “Include a mix of content that provides in-depth analysis, how-to guides, and expert interviews related to current fashion.”
  5. Keywords and Phrases:
    • List the primary keywords and phrases that should be associated with this topic to ensure accurate targeting.
      • Example: “Current fashion, trendy clothing, fashion production, modern fashion, trendy women’s clothing brands.”

Keywords and Phrases: “Women’s fashion, latest fashion trends, trendy materials, innovative designs, female fashion, fashion tips, style guides, women’s clothing, fashion accessories, emerging designers.”

Topic: Fashion for Women

This topic focuses on the latest trends in female fashion, highlighting trendy materials and innovative designs. This topic targets fashion-conscious female consumers, primarily aged 18-35, who are interested in trend-conscious living and fashion. Include a mix of content that provides in-depth analysis, how-to guides, and expert interviews related to current fashion trends, styling tips, and emerging designers.




Importance of Specificity and Conciseness

When creating custom topics and keywords for audience targeting, it is crucial to maintain specificity and avoid unnecessary words that can lead to URL inaccuracies and less relevant results. Here’s why:

  1. Improved Accuracy in Results:
    • Specific Keywords: Using precise and specific keywords, such as “Wegovy® is an injectable weight-loss medication for adults with obesity or excess weight with weight-related conditions,” ensures that the AI and search algorithms can accurately identify and match relevant URLs and content. This approach leads to more targeted and relevant audience segmentation.
    • Generic Keywords: On the other hand, generic keywords like “Weight Loss Medications” accompanied by lengthy descriptions covering multiple brands and classes tend to dilute the focus. This broadness can result in less accurate URL matching and reduced relevance of the results.
  2. Enhanced Relevance:
    • By being specific, we cater to the exact needs and interests of the target audience. For example, a user specifically searching for information on “Wegovy” will find highly relevant content, whereas a broader search term might yield results that are too varied and not directly useful.
  3. URL Accuracy:
    • Specificity reduces the likelihood of URL mismatches. When the AI interprets clear and concise search terms, it minimizes the risk of pulling irrelevant or incorrect URLs, thereby improving the overall accuracy and reliability of the data provided to our users.

Example Comparison:

  • Generic Topic:
    • Weight Loss Medications
    • Description: This topic includes a wide range of weight loss medications, including all brands and classes of medications available for weight loss.
    • Keywords: Weight loss, medications, obesity, weight-related conditions.
  • Specific Topic:
    • Wegovy: Weight Loss Medication
    • Description: Wegovy® is an injectable weight-loss medication for adults with obesity or excess weight with weight-related conditions.
    • Keywords: Wegovy, Wegovy medication, weight loss, injectable weight-loss medication, obesity treatment.

For optimal results, always strive for specificity in your custom topics and keywords. Avoid extraneous words that can introduce ambiguity and reduce the relevance and accuracy of the URLs and content matched by our AI system.

Sensitive Topics to Handle with Care or Avoid

When creating custom topics for programmatic advertising, it is crucial to consider certain sensitive topics with caution to ensure compliance with legal and privacy regulations. Below is a list of topics that should be avoided or approached with caution:

  1. Health Information
    • Personal health conditions
    • Mental health status
    • Medical treatments or procedures
    • Substance abuse and addiction

Explanation: Collecting or targeting individuals based on health-related information can violate laws such as HIPAA and various other regulations, which protect sensitive health data.

  1. Financial Information
    • Personal financial status
    • Credit scores and reports
    • Bank account details
    • Investment portfolios

Explanation: Financial data is highly sensitive and protected under various regulations, including CCPA and other privacy laws. Using this data for targeting can lead to breaches of privacy.

  1. Sexual Content
    • Sexual preferences or behavior
    • Adult entertainment
    • Intimate relationships

Explanation: Targeting based on sexual content can lead to severe privacy infringements and potential legal issues under laws that protect personal dignity and moral standards.

  1. Political Affiliation
    • Political party membership
    • Voting history
    • Political opinions

Explanation: Political data is sensitive and subject to various other regulations. Misuse can result in significant legal penalties and reputational damage.

  1. Ethnicity and Race
    • Racial or ethnic background
    • Ancestry and genetic information

Explanation: Collecting or using data on ethnicity and race can lead to discrimination and is prohibited under various other regulations and anti-discrimination laws.

  1. Religion
    • Religious beliefs or affiliations
    • Religious practices and observances

Explanation: Religious information is protected under privacy laws. Misusing this data can lead to serious ethical and legal consequences.

  1. Minor Information
    • Data about individuals under the age of 18
    • School performance and activities

Explanation: Data about minors is protected under COPPA and other child protection laws, making it illegal to collect or target without explicit parental consent.

  1. Criminal Records
    • Past or present criminal activities
    • Arrest records and legal proceedings

Explanation: Criminal records are sensitive and their misuse can lead to privacy breaches and discrimination, violating various other regulations and relevant laws.

  1. Employment Status
    • Job performance and evaluations
    • Employment history and records

Explanation: Employment data is protected under various privacy regulations and misuse can lead to discrimination and legal issues.

  1. Location Data
    • Exact home addresses
    • Frequent locations (e.g., home, work, school)

Explanation: Precise location data can lead to stalking or other personal safety risks, and is protected under privacy laws.

  1. Biometric Data
    • Fingerprints
    • Facial recognition data
    • DNA

Explanation: Biometric data is highly sensitive and protected under various other regulations and privacy laws, which require stringent consent and handling procedures.

  1. Social Security Numbers and Other Identifiers
    • Social security numbers
    • Driver’s license numbers
    • Passport numbers

Explanation: These identifiers are critical to personal security and their misuse can lead to identity theft and significant legal issues.

Legal Considerations

  1. Various Other Regulations
    • Ensure compliance with strict privacy regulations that govern the collection and use of sensitive personal data. These regulations often require explicit consent and stringent handling procedures to protect individual privacy.
  2. California Consumer Privacy Act (CCPA)
    • Provides privacy rights and consumer protection for residents of California
    • Includes rights to access, delete, and opt-out of the sale of personal information
  3. Health Insurance Portability and Accountability Act (HIPAA)
    • Protects sensitive patient health information in the US
    • Limits disclosure without patient consent
  4. Children’s Online Privacy Protection Act (COPPA)
    • Protects the privacy of children under 13 years old in the US
    • Imposes certain requirements on operators of websites or online services directed to children

By adhering to these guidelines, users can create custom topics that respect individual privacy and comply with legal requirements, ensuring ethical and effective programmatic advertising practices.

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