Consent architecture: TCPA and A2P 10DLC setup with opt-in, STOP/HELP, and data model best practices.

Consent Architecture: TCPA & A2P Setup (Guide + Checklist)

September 19, 20256 min read

Build an opt-in system that protects deliverability and revenue without killing conversion.

Legal note (not legal advice): The following is practical guidance for marketers and operators in the U.S. Laws and carrier policies change and can vary by jurisdiction. Consult qualified counsel for advice specific to your program.

WHY CONSENT ARCHITECTURE IS REVENUE ARCHITECTURE (deliverability, reputation, fines)

Consent isn’t a last-minute checkbox—it’s the backbone of your revenue engine. Strong consent signals improve message delivery, preserve your sender reputation, and keep you out of costly trouble.

Here’s how it maps to money:

  • Deliverability: Permissioned lists and clear onboarding reduce filtering and throttling across SMS/A2P and email. Better inboxing and carrier acceptance equals more reach per send.

  • Reputation: Consistent disclosures, predictable frequency, and fast honor of opt-outs maintain healthy 10DLC campaigns, domains, and IPs—protecting future throughput.

  • Fines & litigation: TCPA statutory damages can stack fast if you misuse numbers or ignore revocation. Designing consent up front is far cheaper than remediation.

CONSENT PRIMITIVES

Explicit vs implicit; written vs verbal; checkbox language; proof of consent storage

  • Explicit vs. implicit:

  • Explicit consent (e.g., a ticked box for “marketing texts/emails”) is the gold standard for promotional outreach.

  • Implicit signals (like a purchase) typically cover transactional notifications, not ongoing marketing.

  • Written vs. verbal:

  • Written proof (form logs, DOI confirmations, SMS keyword joins) is easiest to audit.

  • Verbal consent can work if disclosures are read and recordings are retained with contact identifiers and timestamps.

  • Checkbox language (example):

“By clicking Submit, you agree to receive marketing text messages from [Brand] at the number provided. Msg & data rates may apply. Msg freq varies. Reply STOP to opt out, HELP for help. Consent is not a condition of purchase.”

  • Proof artifacts to store:

  • Form submit event with IP, timestamp, URL, form version, and checkbox state

  • Exact disclosure text (versioned) presented at the time of submit

  • Double-opt-in (DOI) events (e.g., email click, SMS keyword confirmation)

  • Call recording pointer plus transcript snippet when consent is captured verbally

  • Traffic source and campaign (paid ad, webinar, partner feed, POS)

CHANNEL SPECIFICS

Email (opt-in types, list hygiene)

  • Opt-in types:

  • Single opt-in: Lowest friction. Use strong welcome content and one-click unsubscribe to keep complaints down.

  • Double opt-in (DOI): Adds a confirmation click. Prefer DOI for partner traffic, sensitive verticals, or when deliverability is fragile.

  • CAN-SPAM essentials:

  • Include a valid physical address and a clear unsubscribe in every message.

  • Honor opt-outs within 10 business days.

  • Do not require additional info or fees to unsubscribe.

  • List hygiene:

  • Suppress hard bounces and complainers rapidly.

  • Segment by engagement and sunset long-inactive contacts to protect sender reputation.

SMS/A2P (10DLC registration, campaign types, opt-in/out keywords)

  • Registration:

  • In the U.S., A2P 10DLC requires Brand and Campaign registration. Throughput depends on brand type, campaign use case, trust score, and carrier policies.

  • Required experiences:

  • Disclose program name, purpose, message frequency, fees (standard rates), and opt-out/HELP instructions.

  • Send a welcome/onboarding message that repeats essentials and sets expectations.

  • Campaign alignment:

  • Select the correct campaign type (marketing, mixed, conversational, authentication) and ensure content stays within scope.

  • Revocation:

  • Process STOP/UNSUBSCRIBE immediately and apply the suppression to the relevant campaign(s).

  • Log the event with timestamps and channel.

Voice (recording disclosures, revocation)

  • Recording disclosures:

  • Follow federal/state one-party or two-party notice rules.

  • If consent is collected verbally, the script must include required disclosures, and the recording must be retained and linked to the contact.

  • Revocation handling:

  • If a consumer revokes telemarketing consent on a call (or via text/email), update DNC/consent flags immediately to suppress future calls/texts to that number.

FORM + UX PATTERNS THAT PRESERVE CONVERSION

  • Inline, plain-language disclosures near the submit action (not buried in a footer).

  • Two-step forms: Step 1 for essentials; step 2 to confirm value, frequency, and channel preferences—without cluttering the first interaction.

  • Channel-specific checkboxes: Separate Email and SMS. Keep marketing boxes unchecked by default. To increase SMS adoption, explain benefits (e.g., “Shipping alerts + VIP offers”).

  • Keyword onboarding: After SMS join, send a friendly welcome with program name, frequency, STOP/HELP, and a value reminder.

  • Partner traffic: Require a consent pass-through (timestamp, source URL, checkbox copy). Reject feeds without verifiable proof.

DATA MODEL: FLAGS, TIMESTAMPS, SOURCE, PROOF ARTIFACTS

Your consent architecture lives in your data. Model it so you can audit and automate.

  • Contact-level fields:

  • email_marketing_status (subscribed, unsubscribed, non-marketing)

  • sms_marketing_status (subscribed, pending_doi, unsubscribed)

  • voice_marketing_permission (yes/no; date)

  • legal_basis (consent, contract, legitimate interest for ops/transactional)

  • Append-only event log:

  • consent_captured (channel, disclosure_version, checkbox_state, ip, ts, page_url, form_id)

  • doi_sent / doi_confirmed (channel, ts, medium)

  • message_sent / reply_received (map keywords like STOP/HELP)

  • revocation_received (medium, ts, scope)

  • preference_change and audit_note (agent/user, ts)

  • Platform note:

  • Most modern CRMs and marketing tools (HubSpot, Salesforce, GoHighLevel) support subscription types/consent flags and timeline activity. Use custom objects or notes to link recordings, screenshots, and DOI events to the contact.

GOVERNANCE: CHANGE LOG, AUDITS, AND TRAINING

  • Version control: Keep a canonical record of every consent/disclosure copy. Reference the version ID in form submissions.

  • Quarterly audits: Randomly sample records to verify proof artifacts, STOP/HELP handling, campaign alignment, and suppression speed.

  • Change management: Any edit to consent language, frequency promises, or campaign type should trigger a review of 10DLC registrations, welcome messages, and unsubscribe logic.

  • Training: Teach support and sales to recognize and record revocation across all channels (phone, chat, email, SMS).

KPIs AND EARLY-WARNING MONITORS

  • Acquisition health:

  • Percentage of leads with explicit SMS consent

  • DOI conversion rate (email/SMS)

  • Email bounce rate

  • SMS carrier error codes

  • Engagement and distress:

  • Spam complaint rate

  • Unsubscribe trend (7- and 30-day) by campaign

  • SMS STOP rate by message/sequence

  • Throughput blocks or queueing signals

  • Compliance responsiveness:

  • Median time-to-suppress after opt-out (instant for keywords; under 24 hours for manual requests)

  • Percentage of contacts with linked proof artifacts

NEXT STEPS + CHECKLIST + CTA

If you do nothing else this week, do this:

  1. Inventory disclosures on every form and template. Ensure plain language, STOP/HELP, purpose, and frequency for SMS; confirm CAN-SPAM elements in email (address plus one-click unsubscribe).

  2. Map your data model with contact-level consent fields and an append-only event log. Link artifacts (recordings, DOI events) to each record.

  3. Validate 10DLC alignment (use case, content, welcome flows) and monitor throughput/error codes for policy mismatches.

  4. Automate revocation handling for keywords and train staff to capture manual requests.

  5. Stand up monitoring for spikes in STOP/unsubscribe, carrier errors, and throughput drops.

Operational checklist:

  • Consent copy versioned and adjacent to submit

  • DOI enabled for partner/risky sources

  • SMS welcome includes program name, frequency, STOP/HELP

  • Email templates include physical address and one-click unsubscribe

  • Contact record shows flags and proof artifacts

  • 10DLC brand and campaign active; content matches registration

  • Real-time suppression for STOP; daily sweep for manual requests

  • Quarterly audit cadence with remediation tickets

READY TO DE-RISK GROWTH?

A well-built consent architecture earns carrier trust, protects your domains and numbers, and keeps revenue flowing. If you want an expert to pressure-test your disclosures, data model, and 10DLC setup—and to tune your UX so conversion doesn’t suffer—book a Consent Architecture Review.

REFERENCES & RESOURCES

  • CTIA “Messaging Principles & Best Practices” (STOP/HELP, disclosures)

  • FCC guidance on one-to-one consent and revocation for marketing texts (TCPA)

  • The Campaign Registry documentation (brand/campaign registration and throughput)

  • CAN-SPAM rules (unsubscribe within 10 business days; required disclosures)

  • Consent tracking patterns in CRM platforms (HubSpot/Salesforce/GoHighLevel)

Note: This article focuses on U.S. practices as of September 2025. Confirm applicability for your jurisdiction and tech stack before implementing changes.

David Leathers is a fractional CMO and AI developer behind Dependable Consulting. He helps teams architect GoHighLevel for revenue: opinionated data models, attribution that reconciles, and automations that don’t break. His work spans demand gen, paid media economics, CRO, compliance/consent (TCPA/A2P), and partner/affiliate programs. Practical, transparent, and metrics-driven—he prefers kept appointments and payback windows over vanity stats.

David Leathers

David Leathers is a fractional CMO and AI developer behind Dependable Consulting. He helps teams architect GoHighLevel for revenue: opinionated data models, attribution that reconciles, and automations that don’t break. His work spans demand gen, paid media economics, CRO, compliance/consent (TCPA/A2P), and partner/affiliate programs. Practical, transparent, and metrics-driven—he prefers kept appointments and payback windows over vanity stats.

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