用户心理打标-AI psychological tagging

AI-powered social-psychology tagging for copy

分析文案，识别社会心理学现象

分析这段广告语

这个营销策略展示了哪种心理?

解释这条信息的心理效应

这个文案用了哪种社会心理技巧?

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Introduction to 用户心理打标 (User Psychology Tagging)

用户心理打标, or User Psychology Tagging, is a method used to analyze and categorize user behaviors, preferences, emotional responses, and psychological states based on their interactions with digital platforms. This concept involves tagging users with psychological markers to better understand and predict their actions, improve personalized experiences, and optimize marketing strategies. The purpose of 用户心理打标 is to enable businesses, marketers, and designers to tailor content, services, and products based on a deeper, more nuanced understanding of user psychology. These tags can be dynamically applied and updated based on ongoing user behavior, giving businesses a real-time tool to refine their strategies. For example, a retailer might use psychological tagging to identify a customer who frequently abandons their cart due to price sensitivity. By tagging this user with a “price-conscious” label, the retailer can personalize future interactions, offering discounts or special promotions to encourage conversions.

Behavioral Segmentation
Example
A user frequently browses luxury products but never completes a purchase. This user might be tagged as 'aspirational' or 'interested but budget-conscious'.
Scenario
A fashion e-commerce website wants to better understand its users. By using 用户心理打标, the website can segment users based on their browsing patterns. This allows the site to show them targeted ads or personalized content such as 'affordable luxury' options or promotional campaigns specifically for aspirational buyers.
Emotion-driven Personalization
Example
Users who show signs of frustration, such as frequent page reloads or long session durations without conversion, might be tagged as 'frustrated' or 'stressed'.
Scenario
A streaming service might track a user's behavior while using its app. If a user repeatedly skips content or shows signs of impatience (e.g., hovering over skip buttons, fast forwarding, or changing shows quickly), the system could tag this user as 'frustrated with content' and respond by recommending content with higher ratings or personalized suggestions to alleviate this frustration.
Predictive Targeting
Example
A user who consistently interacts with content related to fitness and wellness may be tagged with 'health-conscious'. This can then be used to predict that the user will be interested in new health-related products.
Scenario
A mobile app that tracks user habits can analyze past interactions and predict future actions. If a user has purchased fitness equipment, downloaded health-tracking apps, and consumed a lot of fitness-related content, the app could tag the user as 'health-conscious'. When the app launches a new fitness tracker, the system will recognize this user as a potential buyer and push a targeted notification or an ad with relevant products.

Ideal Users of 用户心理打标

E-commerce Platforms and Online Retailers
E-commerce platforms and online retailers are prime users of 用户心理打标. By understanding the psychology of their users—whether they are driven by price, exclusivity, or convenience—retailers can create personalized shopping experiences. This increases the likelihood of conversions by providing users with exactly what they are likely to want or need. For example, understanding that a user tends to browse high-end fashion without buying could prompt the retailer to offer personalized discounts or notify the user when the product they are eyeing is on sale.
Digital Marketing Agencies
Digital marketing agencies use 用户心理打标 to refine their ad targeting strategies. By tagging users based on emotional triggers, such as curiosity, frustration, or excitement, agencies can create more effective campaigns. For instance, understanding that a user has a 'fear of missing out' (FOMO) on certain deals or products allows the agency to create campaigns that leverage this psychological insight, encouraging faster decision-making and conversion.
Product Designers and User Experience (UX) Researchers
Product designers and UX researchers benefit from 用户心理打标 because it provides them with deep insights into user behavior and motivations. For instance, a designer creating a mobile app can use psychological tags to track user frustration, interest levels, or satisfaction. This feedback loop allows the design team to make real-time adjustments to the app’s features, user interface (UI), and content presentation, ensuring a better user experience. If users are tagged as 'dissatisfied' during the checkout process due to slow load times, the team can prioritize performance optimization.
Content Creators and Media Platforms
Content creators and media platforms can leverage 用户心理打标 to optimize their content offerings. For example, if users are tagged as 'engaged' or 'emotionally connected' with certain types of content, content creators can generate more of the same type of material, knowing that their audience resonates with it. This allows media platforms to increase engagement rates and improve user retention by continually offering content that matches the emotional or psychological state of their viewers.

Quick start (JSON code correction5 steps)

Visit aichatonline.org for a free trial without login, also no need for ChatGPT Plus.
Open the site to start instantly — the trial does not require account signup or a ChatGPT Plus subscription. Use this to test the tool immediately on sample copy.
Prepare your copy and context
Collect the text you want analyzed (single items or a batch via CSV/JSON). Provide context where possible: target audience, channel (ad, email, landing page), language, and campaign goal. Remove or anonymize any sensitive personal data before upload.
Choose analysis settings
Pick the label set and strictness level (conservative vs. permissive), language, and output format. Enable multi-label detection if you want multiple psychological tactics flagged per item. Optionally load or define custom labels and rules for your domain.
Run the analysis and review results
The tool returns a structured table for each input with a presence flag, a short reasoning statement, and identified psychological types. Review the rationale column first to verify context; treat results as a high-quality recommendation that benefits from human spot-checking.
Export, iterate, and integrate
Export results as CSV or JSON for analytics, feed tags into A/B tests, or integrate via API/batch processing into your CMS. Iterate label definitions, run sample audits periodically, and keep a human-in-the-loop for borderline or high-impact decisions.