14 ChatGPT Marketing Prompts for Sentiment Analysis

Sentiment analysis is a powerful tool for marketers looking to understand how customers feel about their brand, products, or services. By using ChatGPT with the right prompts, you can analyze customer feedback, social media comments, reviews, and other text data to gauge sentiment and extract valuable insights for your marketing strategy.

What Are ChatGPT Marketing Prompts for Sentiment Analysis? These are specific instructions designed to guide ChatGPT in analyzing and categorizing text data based on emotional tone and attitude. These prompts help marketers identify positive, negative, or neutral sentiments in customer communications, track brand perception over time, and make data-driven decisions to improve marketing campaigns and customer experience.

What are the Best ChatGPT Marketing Prompts for Sentiment Analysis?

1. Basic Sentiment Classification

The Prompt: "Analyze the following customer feedback and classify it as positive, negative, or neutral. Provide a brief explanation for your classification: [paste customer feedback]"

When to Use It: When you need a quick assessment of customer sentiment from reviews, survey responses, or social media comments.

Variations:

• "Rate this customer feedback on a scale of 1-5 (1 being very negative, 5 being very positive) and explain why: [feedback]"
• "Identify the sentiment in this comment and highlight the specific words or phrases that indicate this sentiment: [comment]"

Additional Information Required: Customer feedback text, context about the product or service being discussed (if relevant).

2. Sentiment Trend Analysis

The Prompt: "Compare the sentiment in these 10 customer reviews from [time period 1] with these 10 reviews from [time period 2]. Identify any shifts in sentiment and potential reasons for these changes."

When to Use It: When tracking sentiment changes over time, especially after product updates, rebranding, or PR events.

Variations:

• "Analyze sentiment trends in these customer reviews before and after our product launch on [date]."
• "Compare sentiment patterns in feedback from new customers versus returning customers."

Additional Information Required: Two sets of customer reviews or feedback from different time periods, relevant dates of product changes or marketing campaigns.

3. Competitive Sentiment Comparison

The Prompt: "Analyze these reviews about our product [product name] and these reviews about our competitor's product [competitor product]. Compare the sentiment toward each and identify our relative strengths and weaknesses."

When to Use It: When conducting competitive analysis or trying to identify your unique selling propositions based on customer sentiment.

Variations:

• "Compare sentiment around pricing for our product versus our top three competitors."
• "Analyze sentiment differences between our brand and [competitor brand] on social media during the past month."

Additional Information Required: Sets of reviews or comments about your product and competitor products, specific aspects you want to compare (optional).

4. Sentiment by Feature Analysis

The Prompt: "Review these customer comments about our [product/service] and identify the sentiment associated with each specific feature or aspect mentioned. Rank features from most positively received to most negatively received."

When to Use It: When prioritizing product improvements or identifying which features to highlight in marketing materials.

Variations:

• "Analyze customer sentiment regarding the user interface, performance, and customer support in these reviews."
• "Extract sentiment about our new features launched in the latest update based on these user comments."

Additional Information Required: Customer feedback text, list of key features or aspects you want to analyze.

5. Sentiment Across Demographics

The Prompt: "Analyze the sentiment in these customer reviews and identify any differences in sentiment patterns between [demographic group 1] and [demographic group 2]."

When to Use It: When targeting specific customer segments or personalizing marketing messages for different audiences.

Variations:

• "Compare sentiment between male and female customers regarding our new product line."
• "Analyze how sentiment differs between age groups (18-24, 25-34, 35+) in these survey responses."

Additional Information Required: Customer feedback with demographic information attached, demographic groups you want to compare.

6. Sentiment in Campaign Feedback

The Prompt: "Analyze the sentiment in these social media responses to our [campaign name] marketing campaign. Identify which aspects resonated positively and which received negative reactions."

When to Use It: When evaluating the success of marketing campaigns and planning future initiatives.

Variations:

• "Assess sentiment toward our recent email campaign subject lines and content."
• "Compare sentiment across different platforms (Twitter, Facebook, Instagram) regarding our latest promotional video."

Additional Information Required: Social media comments or other feedback specifically about your marketing campaign, campaign details for context.

7. Sentiment Behind Customer Churn

The Prompt: "Analyze these cancellation survey responses and exit interviews to identify the primary negative sentiments driving customer churn."

When to Use It: When trying to reduce customer churn by understanding the emotional drivers behind cancellations.

Variations:

• "Categorize these cancellation reasons by sentiment and suggest messaging that could address these negative feelings."
• "Identify patterns in negative sentiment from customers who downgraded their subscription in the past quarter."

Additional Information Required: Cancellation reasons, exit survey responses, or other feedback from former customers.

8. Brand Perception Sentiment Analysis

The Prompt: "Analyze these social media mentions of our brand from the past month. Identify the overall sentiment toward our brand and any specific aspects that drive positive or negative sentiment."

When to Use It: When monitoring brand health or planning brand positioning strategies.

Variations:

• "Track sentiment changes in brand mentions before and after our recent PR crisis."
• "Compare sentiment toward our brand values versus our product quality in these customer interviews."

Additional Information Required: Social media mentions, brand-related comments, or other text data mentioning your brand.

9. Customer Service Interaction Sentiment

The Prompt: "Analyze these customer service chat logs and identify how customer sentiment changes throughout the conversation. Note which agent responses improved sentiment and which worsened it."

When to Use It: When training customer service teams or developing response templates for common situations.

Variations:

• "Identify the emotional triggers that escalated negative sentiment in these customer service interactions."
• "Analyze which resolution approaches resulted in the most positive sentiment shift in these complaint tickets."

Additional Information Required: Customer service transcripts, chat logs, or email threads showing the full conversation.

10. Product Launch Sentiment Tracking

The Prompt: "Analyze the sentiment in these customer reactions to our [product] launch announcement. Categorize feedback by sentiment and identify specific aspects generating excitement or concern."

When to Use It: When gauging initial reaction to new products or features to guide follow-up marketing.

Variations:

• "Track sentiment changes from pre-launch anticipation to post-launch experience for our new product."
• "Compare sentiment toward different aspects of our product launch: pricing, features, availability, etc."

Additional Information Required: Customer comments about product launch, launch details, pre-launch marketing materials (if relevant).

11. Crisis Communication Sentiment

The Prompt: "Analyze public sentiment in these social media responses to our company's statement about [crisis situation]. Identify which parts of our message resonated positively and which aspects may have worsened negative sentiment."

When to Use It: During or after a PR crisis to guide follow-up communications and damage control.

Variations:

• "Track sentiment changes before our statement, immediately after, and one week later to assess crisis recovery."
• "Compare sentiment toward our crisis response versus competitors who faced similar situations."

Additional Information Required: Your crisis communication statement, public responses to it, context about the crisis situation.

12. Content Marketing Sentiment Analysis

The Prompt: "Analyze reader comments on these 5 recent blog posts. Identify which topics, writing styles, or content formats generate the most positive sentiment."

When to Use It: When planning content strategy or optimizing existing content based on audience reaction.

Variations:

• "Compare sentiment in comments on our how-to articles versus our thought leadership pieces."
• "Analyze which content elements (examples, statistics, personal stories) generate the most positive reader sentiment."

Additional Information Required: Blog post comments or other reader feedback, links to the content being discussed.

13. Pricing Sentiment Analysis

The Prompt: "Analyze customer sentiment regarding our pricing in these reviews and feedback forms. Identify whether price is perceived as fair, too high, or too low relative to perceived value."

When to Use It: When evaluating pricing strategies or preparing to announce price changes.

Variations:

• "Compare sentiment about our pricing before and after our recent price increase."
• "Analyze how sentiment about pricing differs between our premium and basic customers."

Additional Information Required: Customer feedback mentioning pricing, current pricing structure, recent pricing changes (if any).

14. Sentiment in Sales Conversations

The Prompt: "Analyze these sales call transcripts and identify points in the conversation where prospect sentiment shifted positively or negatively. Note which sales talking points or objection handling techniques affected sentiment."

When to Use It: When training sales teams or refining sales scripts and pitches.

Variations:

• "Identify emotional triggers that improved sentiment in these successful sales conversations."
• "Compare sentiment patterns in won deals versus lost opportunities based on these sales notes."

Additional Information Required: Sales call transcripts or detailed notes, information about deal outcomes.

Tips on How to Write ChatGPT Marketing Prompts for Sentiment Analysis

1. Provide clear context: Tell ChatGPT about your industry, product, or the specific situation you're analyzing to get more accurate sentiment analysis.
2. Include baseline expectations: If you know what typical sentiment looks like for your brand or industry, mention this to help calibrate the analysis.
3. Ask for specific metrics: Request sentiment scores or ratings when possible to make results more measurable and comparable over time.
4. Focus on key aspects: Direct ChatGPT to analyze sentiment around specific product features, pricing, customer service, or other aspects most relevant to your goals.
5. Request actionable insights: Ask not just for sentiment classification but also for recommendations based on the sentiment patterns identified.
6. Use consistent scales: When tracking sentiment over time, use the same rating scales or classification systems for valid comparisons.
7. Consider cultural context: Remind ChatGPT about cultural differences that might affect sentiment expression in different markets.
8. Include multiple examples: When analyzing patterns, provide enough examples to identify meaningful trends rather than outliers.
9. Request nuance detection: Ask ChatGPT to identify mixed sentiments, sarcasm, or subtle emotional cues that might be missed in basic analysis.
10. Combine with demographic data: When possible, include customer segment information to understand how sentiment varies across your audience.

How AirOps Aids Your Content Marketing & SEO

AirOps transforms how marketers use AI for sentiment analysis and content creation by providing a structured, efficient workflow for prompt management. Rather than crafting prompts from scratch each time, you can access AirOps' specialized template library designed specifically for marketing sentiment analysis.

With AirOps, you can save your most effective sentiment analysis prompts, share them across your marketing team, and refine them based on results. This ensures consistent analysis methodology and allows you to track sentiment changes more accurately over time.

The platform integrates seamlessly with your existing marketing tools, making it easy to incorporate sentiment insights into your content strategy, customer communications, and campaign planning. By standardizing your approach to sentiment analysis, AirOps helps you identify trends faster and respond more effectively to customer feedback.

Ready to transform how you understand and respond to customer sentiment? Visit AirOps today to discover how our AI prompt management platform can help you gain deeper customer insights and create more emotionally resonant marketing content.

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