> For the complete documentation index, see [llms.txt](https://docs.allthingsghl.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.allthingsghl.com/ai-prompts/highlevel/ghl-voice-ai-prompts/call-management/update-contact-fields.md).

# Update Contact Fields

1. **Peferred Communication Style**

📌 Why? Some customers prefer text, others calls, and some only want emails at specific times. 💬 AI Example: “Just so we communicate the way you like, do you prefer updates via text, email, or phone calls?” \* 📊 Stored As:\* Preferred contact method (Text, Email, Phone), Preferred Contact Time

2. **Intent Strength Score (How Ready They Are to Buy/Act)**

📌 Why? Knowing if a lead is ready to buy helps businesses prioritize follow-ups. 💬 AI Example: “On a scale of 1-10, how urgent is your need for this service?” \* 📊 Stored As:\* Lead Priority Level (1-10 Scale)

3. **Emotional Sentiment of the Call**

📌 Why? AI detects customer sentiment (excited, frustrated, hesitant) to predict churn or conversion likelihood. 💬 AI Example: “I can tell this is really important to you—I'll make sure we get it right.” (Analyzed for tone and word choice) 📊 Stored As: Sentiment Score (Positive, Neutral, Negative)

4. **Purchase or Booking Barriers (Why They Haven’t Acted Yet)**

📌 Why? Identifies objections so the business can adjust its sales pitch. 💬 AI Example: “Is there anything holding you back from making a decision today?” \* 📊 Stored As:\* Common Objections (Price, Timing, Uncertainty, Need More Info)

5. **Customer's Industry or Use Case**

📌 Why? Helps personalize future offers and segment customers better. 💬 AI Example: “Are you using this for personal use or for your business? If for business, what kind of work do you do?” \* 📊 Stored As:\* Industry Type, Personal vs. Business Use

6. **Hidden Upsell Opportunities**

📌 Why? Helps identify additional products or services the customer might need. 💬 AI Example: “Most people who buy this also get \[related service]. Would that be helpful for you?” \* 📊 Stored As:\* Interest in Upsell Products/Services

7. **Preferred Appointment Days & Times**

📌 Why? Reduces scheduling friction by knowing when they are most available. 💬 AI Example: “Do you usually prefer morning, afternoon, or evening appointments?” \* 📊 Stored As:\* Best Appointment Time

8. **Customer’s Budget Range (For Pricing Adjustments)**

📌 Why? Knowing budget constraints helps with tiered pricing or special offers. 💬 AI Example: “To make sure I recommend the best option, do you have a budget range in mind?” \* 📊 Stored As:\* Budget Range

9. **How They Found the Business (Marketing Attribution)**

📌 Why? Helps measure which marketing channels are working best. 💬 AI Example: “Just curious—how did you hear about us?” \* 📊 Stored As:\* Marketing Source (Google, Social Media, Referral, Ad, Other)

10. **Customer’s Urgency Window (Short-Term vs. Long-Term Buyer)**

📌 Why? Helps businesses prioritize follow-ups. 💬 AI Example: “Are you looking to get this done ASAP, or is this something you’re planning for later?” \* 📊 Stored As:\* Purchase Timeline (Immediate, 30 Days, 60+ Days)

11. **Competitor Comparison (What Other Companies They’re Considering)**

📌 Why? Helps businesses adjust pricing, messaging, and offerings. 💬 AI Example: “Have you looked at any other options, or are we the first company you’re speaking with?” \* 📊 Stored As:\* Competitor Name, Decision Factors

12. **Customer’s Pain Point or “Why” They Need the Service**

📌 Why? Knowing the core reason helps businesses craft more compelling messaging. 💬 AI Example: “What made you start looking for this service today?” \* 📊 Stored As:\* Core Pain Point

13. **Lifetime Value Potential (Are They a One-Time or Recurring Customer?)**

📌 Why? Helps businesses identify VIP customers early. 💬 AI Example: “Do you see this as a one-time purchase, or will you need ongoing support?” \* 📊 Stored As:\* Customer Type (One-Time, Recurring, Subscription Potential)

14. **Preferred Product or Service Features**

📌 Why? Helps businesses prioritize which features to focus on in marketing. 💬 AI Example: “What’s most important to you when choosing a \[product/service]?” \* 📊 Stored As:\* Feature Priority (Speed, Price, Quality, Customer Service)

15. **Referral Potential (Who Else Might Need This?)**

📌 Why? Turns customers into referral sources immediately. 💬 AI Example: “Do you know anyone else who might benefit from this? We have a referral program.” \* 📊 Stored As:\* Referral Lead Collected (Yes/No)

16. **Customer's Tech Comfort Level (For Digital Services)**

📌 Why? Helps businesses tailor their support approach. 💬 AI Example: “Do you prefer digital self-service tools, or do you like speaking with someone directly?” \* 📊 Stored As:\* Tech Comfort Level (Self-Service, Hybrid, Full Assistance)

17. **Location Data (For Hyper-Local Targeting & Service Areas)**

📌 Why? Helps businesses refine local marketing efforts. 💬 AI Example: “Are you based in \[city name], or are you looking for services in a different area?” \* 📊 Stored As:\* Customer’s Location

18. **Business Size & Employee Count (For B2B Sales)**

📌 Why? Helps segment leads for tailored sales strategies. 💬 AI Example: “Just to personalize this better—how big is your team?” \* 📊 Stored As:\* Business Size (1-10, 11-50, 50+)

19. **Social Media Preferences (For Future Retargeting)**

📌 Why? Allows businesses to retarget customers where they spend time. 💬 AI Example: “Are you active on social media? We share updates and special deals there.” \* 📊 Stored As:\* Social Media Platform Preference (Facebook, Instagram, LinkedIn, None)

20. **Customer’s Risk Tolerance for Price vs. Quality**

📌 Why? Helps businesses tailor pricing strategies. 💬 AI Example: “Are you looking for the most affordable option, or are you more focused on getting the best quality?” \* 📊 Stored As:\* Price Sensitivity Level (Budget, Balanced, Premium)


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