MaxAI Content Generation

MaxAI Content Generation enables a Marketer to effortlessly optimize the content of their emails in Unica Deliver and Rich Text Fields during Offer creation or Offer modification in Centralized Offer Management. With intelligent AI-driven suggestions, marketers can instantly refine their messaging for better clarity, tone, and impact ensuring that the core message resonates with their audience.

Accessing and Using Email Text Generation

You can use MaxAI to generate content for various mailing sections or you can use it to improve existing content. You can generate text or improve text for the following mailing sections:

Header - The top section of the email
Preheader - A short summary text that appears next to or below the subject line in the inbox preview
Introduction - The opening lines of the email body.
Main Content - The core message or purpose of the email.
Additional Information - Secondary or supporting content.
Call-to-Action (CTA) - A clear, action-oriented prompt telling the reader what to do next
Footer - The bottom section of the email.

In case of existing content, you can select from the following rephrasing suggestions to improve the content:

Improve Text - Improves the selected text.
More Formal - Makes the tone of the existing text formal.
Make Longer Text - Adds more content to existing text to provide more context.
Make Shorter Text - Makes existing content concise for quick consumption.
Continue Writing - If the existing text is incomplete or insufficient, it adds more content to make it complete.

After providing the inputs, MaxAI generates suggestions and lists the three best suggestions. You can pick one or make click Regenerate to further improve suggestions from MaxAI.

Note:

Currently MaxAI only supports text.
Whenever you select some part of the text and replace it with a suggestion provided by MaxAI, the existing styling applied on the selected text will not be retained after being replaced. MaxAI will replace the text you choose and you can modify the new text as per your requirements.

Note: To view some example queries, see Queries - Examples.

Accessing and Using Subject Line Analysis

With Subject Line Analysis, you can check the relevance and catchiness of the subject line in a marketing emailer. Subject Line Analysis checks the impact of the subject line of a marketing emailer. You can use Subject Line Analysis to:

improve clarity of the subject line
check how engaging the subject line is
check the tone of the subject line
check if the sentiment is postive, neutral, or negative
check the subjectivity of the content line
check if the subject line has tendency to get tagged as spam

To use Subject Line Analysis for the subject of marketing emailers, complete the following steps:

Note: Ensure that Subject Line Analysis is configured and enabled for your Deliver account. Contact HCL Unica support to enable the same.

Access the Communications tab in Quick Builder and create New or open an existing Email communication.
In the Subject line, enter the subject for the marketing emailer and click Analyze.

Note: If you see an error, it indicates that Subject Line Analysis is not configured for you. Contact your Unica administrator to configure Subject Line Analysis.

The Subject Line Analysis panel opens. You will see the following Analysis results:


Analysis Graph	An analysis graph shows the analysis of the emailer subject based on the following parameters: Readability - The content clarity of the subject line. Higher the score higher the clarity. Engagement - The customer engagement potential of the subject line. Higher the score, higher the engagement. Politeness - The tone of the subject line. Higher the score higher the politeness. Polarity - The sentiment of the subject line which can be positive, neutral, or negative. A high score indicates positive, a medium score indicates neutral, and a low score indicates negative. Subjectivity - The subjectivity in the content of the subject line. Higher the score, higher the subjectivity. Spam - The probability of the subject line being a Spam. Higher the score, lesser the probability of the subject line being considered as a Spam. Each parameter is rated from 20 to 100, where 100 is the best score and 20 is the worst score. Example Readability 100 - The subject line has clarity 20 - The subject line has no clarity Engagement 100 - The subject line has very high probability for customer engagement 20 - The subject line has very low probability for customer engagement Politeness 100 - The subject line has a very high score for polite tone 20 - The subject line has a very low score for polite tone Polarity 100 - The subject line has a very high score and shows positive polarity 20 - The subject line has a very low score and shows negative polarity Subjectivity 100 - The subject line has a very high score for subjectivity 20 - The subject line has a very low score for subjectivity Spam 100 - The subject line has high score so it has very less chance of being tagged as a Spam. 20 - The subject line has low score so it has very high chance of being tagged as a Spam.
Explanation	Gives a detailed explanation of the strengths and weaknesses of the subject line. Note: The Explanation output depends on the language of input and not the locale set in Platform settings. For example, if the locale in Platform is set to French and if your subject line analysis input is in English, the result of Explanation will be in English.
Subject Line Variations	Provides five alternative examples, similar to your subject line, which you can consider using as a subject line. Note: The results of Subject Line Variations depends on the language of input and not the locale set in Platform settings. For example, if the locale in Platform is set to French and if your subject line analysis input is in English, the results of Subject Line Variations will be in English.

Perform the following steps based on your requirement:
1. If you wish to read the entire information provided in Explanation, select Read more.
2. If you wish to Analyze one of the Subject Line Variations, hover the mouse over the required variation and select Copy, paste the copied variation in the Subject Line textbox and click Analyze.
3. When you are performing subject line analysis from the Subject Line Analysis panel, everytime you Analyze a different subject line, it creates a history of the earlier analysis with the subject line and the analysis score. You can expand the history to view more details. The history is available as long as the Subject Line Analysis panel is active. Once you exit the Subject Line Analysis panel, the history will not be available on subsequent access.
4. After analysis, if you have finalized the subject line content, which can be in the Subject Line or in the history list, select Use this, succeeding the Subject Line or succeeding the individual history items. When you select Use this, the subject line is automatically populated in the email builder screen.

For more examples related to queries and best practices, see Best Practices for Subject Line Analysis Queries.

Note: To view some example queries, see Queries - Examples.

Using MaxAI to Create Content for Text Fields and Rich Text Fields in Offers

When creating or editing offers, if you select a template that contains a Text field or a Rich Text Editor field, you can leverage the power of MaxAI to generate content for you or to edit the content created by you.

To use MaxAI for generating or modifying textual content, complete the following steps:

When creating or editing an offer, if you have used a template that contains Text fields or a Rich Text Editor fields, reach the Default values section.
Beside the Text fields or a Rich Text Editor fields, you will see a radio button which indicates that you can use MaxAI for that field.
You can execute either of the following scenarios:
1. Blank text
  1. If the Text fields or Rich Text Editor fields do not have any content, click the radio button beside the respective field.
    The MaxAI panel opens.
  2. Type in an idea for the type of content you want MaxAI to generate. For example, Offers for users with loyalty points exceeding 10,000.
  3. Click Generate Suggestions.
    MaxAI generates a few suggestions.
  4. You can either select one of the suggestions or click Regenerate to view better suggestions.
    If you select any one of the suggestions, the content from the selected suggestion is immediately applied to the field in the background. Click X to exit the MaxAI panel.
    If required, you can also click Edit Prompt to make changes to your ideas so that MaxAI can generate appropriate results. For example, you can click Edit Prompt and change the original request Offers for users with loyalty points exceeding 10,000 to Offers for female users with loyalty points exceeding 10,000.
    Upon editing, click Regenerate and view the suggestions and select an appropriate suggestion. Click X to exit the MaxAI panel.
2. Contains text
  1. If the Text fields or Rich Text Editor fields already has some content in it, select the content and click the radio button beside the respective field.
    The MaxAI panel opens.
  2. You will see your Original text and the following options:
    - Improve Text - Improves the selected text.
    - More Formal - Makes the tone of the existing text formal.
    - Make Longer Text - Adds more content to existing text to provide more context.
    - Make Shorter Text - Makes existing content concise for quick consumption.
    - Continue Writing - If the existing text is incomplete or insufficient, it adds more content to make it complete.
  3. Select any of the options and click Generate Suggestions. You will see suggestions from MaxAI based on the selected option. Select and suggestion and exit the MaxAI panel.
    If required, you can also click Edit Prompt to change the options. For example, you can click Edit Prompt and change the original request Make Longer Text to Make Shorter Text. After editing, click Regenerate and view the suggestions, select an appropriate suggestion, and click X to exit the MaxAI panel.

Note: To view some example queries, see Queries - Examples.