Build apps with call tracking, SMS marketing, and AI lead response on one programmable platform

Prove which campaign drove the call. Respond to the lead before it goes cold. SignalWire lets you build custom call tracking software, SMS marketing apps, and AI qualification tools to create a system that serves every client from one platform, instead of stitching one together from multiple vendors.

Where call tracking and lead response break down for agencies

Marketing attribution depends on knowing which campaign, ad, or channel generated a call or a text. Most call tracking software might capture the call but with no visibility into the SMS conversation that preceded it, no ability to trigger an AI follow-up in real time, and no shared data model with the CRM the agency is reporting from. The result: attribution reports that are directionally right and specifically wrong.

Why marketing communications systems built with traditional CPaaS cannot fix this

Legacy CPaaS gives you APIs and webhooks: events you can log after the fact, not a call you can act on while it's happening. Agencies patch around this by adding a dialer for routing, a separate SMS platform for texting, and a compliance vendor for opt-in tracking. Then they rebuild the same integration for every new client vertical, because none of those systems share state with each other.

What agencies and martech developers build on SignalWire

Call tracking, SMS marketing, click-to-call, and AI lead qualification run on the same platform and the same call state model because you build them on the same primitives . An AI marketing agent answers the call, qualifies the lead, and logs structured data to the CRM in real time. The SMS conversation and the phone call share one customer record. One platform serves every client account without reassembling the stack each time.

Different sources need different qualifying questions. A paid search lead might get asked about budget and timeline, while a retargeting SMS reply just needs a quick confirm-and-connect.

Because the question set can change based on data passed in with the call, one agent deployment can serve every campaign a client runs, instead of standing up a separate flow for each one:

from signalwire.prefabs import InfoGathererAgent

def get_questions(query_params, body_params, headers):
    question_set = query_params.get("type", "default")
    if question_set == "support":
        return [
            {"key_name": "name", "question_text": "What is your name?"},
            {"key_name": "issue", "question_text": "Describe your issue."}
        ]
    return [
        {"key_name": "name", "question_text": "What is your name?"},
        {"key_name": "message", "question_text": "How can I help?"}
    ]

agent = InfoGathererAgent()  # No static questions
agent.set_question_callback(get_questions)

if __name__ == "__main__"

from signalwire.prefabs import InfoGathererAgent

def get_questions(query_params, body_params, headers):
    question_set = query_params.get("type", "default")
    if question_set == "support":
        return [
            {"key_name": "name", "question_text": "What is your name?"},
            {"key_name": "issue", "question_text": "Describe your issue."}
        ]
    return [
        {"key_name": "name", "question_text": "What is your name?"},
        {"key_name": "message", "question_text": "How can I help?"}
    ]

agent = InfoGathererAgent()  # No static questions
agent.set_question_callback(get_questions)

if __name__ == "__main__"

from signalwire.prefabs import InfoGathererAgent

def get_questions(query_params, body_params, headers):
    question_set = query_params.get("type", "default")
    if question_set == "support":
        return [
            {"key_name": "name", "question_text": "What is your name?"},
            {"key_name": "issue", "question_text": "Describe your issue."}
        ]
    return [
        {"key_name": "name", "question_text": "What is your name?"},
        {"key_name": "message", "question_text": "How can I help?"}
    ]

agent = InfoGathererAgent()  # No static questions
agent.set_question_callback(get_questions)

if __name__ == "__main__"

from signalwire.prefabs import InfoGathererAgent

def get_questions(query_params, body_params, headers):
    question_set = query_params.get("type", "default")
    if question_set == "support":
        return [
            {"key_name": "name", "question_text": "What is your name?"},
            {"key_name": "issue", "question_text": "Describe your issue."}
        ]
    return [
        {"key_name": "name", "question_text": "What is your name?"},
        {"key_name": "message", "question_text": "How can I help?"}
    ]

agent = InfoGathererAgent()  # No static questions
agent.set_question_callback(get_questions)

if __name__ == "__main__"

Learn more about building an InfoGathererAgent.

How SignalWire handles marketing compliance at scale

Every SMS campaign sent through 10DLC has to be registered with The Campaign Registry and vetted before it can send. SignalWire is a registered Campaign Service Provider (CSP), handling brand and campaign vetting for 10DLC.  Call recording with channel separation is available to support compliance and quality review across client accounts.