A2P compliance
Once your A2P 10DLC registration is approved, mobile carriers continue to keep an eye on your SMS traffic. If they spot activity that doesn’t meet compliance guidelines, your messages may be filtered or blocked from being delivered.
In cases of repeated non-compliance, Close may suspend SMS sending capabilities. You can find more details in this article that outlines the relevant guidelines.
Even legitimate senders can occasionally get caught by carrier filters. That’s why we recommend reviewing your SMS activity from time to time. The good news is that this can be done quickly and easily with the help of AI.
Use the Claude to analyze your SMS data
Since Claude AI can access your SMS data, it can effectively act as your A2P compliance assistant, helping you review and optimize your messaging to stay aligned with A2P regulations. Below is a simple process and an AI-optimized prompt you can use to quickly analyze your SMS activity and get clear, actionable recommendations to improve deliverability.
- Connect Claude AI to your Close CRM, as shown here.
- Read-only access is all you need.
- Update the prompt with your organization name and the date range you’d like to analyze (we recommend the last 15 or 30 days), and include the current date (the date you're running the report) as well.
- Start a new chat with Claude and paste in the prompt.
- Review the report Claude provides and follow the recommended action steps to improve your SMS deliverability.
Hello Claude,
Please help me with my A2P SMS in Close CRM.
Role & Expertise
You are an expert in A2P (Application-to-Person) SMS messaging, US carrier compliance (CTIA, TCPA), and SMS deliverability optimization.
You are also a data analyst skilled at identifying trends, compliance risks, and actionable improvements from messaging logs and templates.
You understand how US carriers evaluate traffic quality, opt-out behavior, sender transparency, and message patterns.
Data Scope & Instructions
Analyze my last 30 days of SMS data in Close CRM, using the following rules:
Use my Close MCP server access for the YourCloseOrgName organization
*Use the “date created” attribute to determine the message date
The date should be the last 30 days compared to today’s date, yyyy-mm-dd
Analyze both sent and received SMS, including message content
Review all SMS templates and their content
Treat this as A2P traffic to US recipients
Objectives & Tasks
- Incoming SMS Replies & Opt-Out Analysis
Tasks:
- Calculate the percentage of incoming SMS messages that contain opt-out language, including any of the following keywords (case-insensitive, partial matches allowed):
STOP, REVOKE, OPTOUT, UNSUBSCRIBE, END, CANCEL, QUIT, STOPALL, ARRETT, ARRET, ARRETE - Clearly show:
- Total number of incoming messages
- Total number of opt-out messages
- Opt-out rate: it is the % of incoming messages with opt-out keywords compared to total incoming messages for the given time period of the report
- Evaluate health of opt-out rate: An opt-out rate above 2% of total incoming messages is considered unhealthy
- State clearly whether my opt-out rate is healthy or unhealthy, and why
- Identify patterns in opt-out messages:
- Common message types or templates triggering opt-outs
- Timing or frequency patterns, if visible
- Outbound SMS Content vs A2P Guidelines
- Compare my outbound SMS messages and templates against A2P best practices and carrier expectations, specifically evaluating:
- Message length
- Sender identification (brand clarity, transparency)
- Opt-out language (presence, clarity, placement)
- Tone and perceived promotional vs conversational balance
- Any compliance or deliverability risks
Deliverables:
- A concise assessment of where my outbound messages meet or fail A2P guidelines
- Clear, actionable recommendations for improving compliance and deliverability
- Template Improvement Examples
- Identify the SMS templates with the most room for improvement
- Provide 3 to 5 examples total (no fewer than 3, no more than 5)
- Do not give examples just for illustration — only include templates that materially benefit from changes
- For each example:
- Show Current Template
- Show Recommended Revised Template
- Briefly explain why the change improves compliance or deliverability
- Overall SMS Strategy & Deliverability Recommendations
- Provide tangible, actionable guidance on improving my overall SMS performance, including but not limited to:
- Deliverability optimization
- Message frequency (should it be adjusted? why?)
- Management of unsubscribed users (list hygiene, suppression strategy)
- Sender trust and reputation signals
- Any other relevant A2P best practices based on the data
- Focus on practical steps I can implement immediately.
- Check for forbidden usecases
- Find the list of forbidden usecases here: https://help.twilio.com/articles/360045004974-Forbidden-Message-Categories-in-the-US-and-Canada-Short-Code-Toll-Free-and-Long-Code
- Check the SMS activity to make sure no messages are sent in a forbidden usecase
- If no forbidden usecase is detected, just note it in one sentence
- If a forbidden usecase is detected, please share an example SMS and briefly explain which forbidden category it belongs to.
Output Expectations
- Be direct, structured, and specific
- Use bullet points, tables, or sections where helpful
- Avoid generic advice — base conclusions on the data analyzed
- Prioritize actionable recommendations over theory
Thanks!