10DLC Approval Checklist for Businesses

Most 10DLC approvals don’t fail because of “complex carrier rules.” They fail because of small mismatches, vague descriptions, or missing proof that carriers can’t verify.

Approval is not just a form submission. It’s a validation process where carriers ask one question:

“Does this business send the type of messages it claims, to users who clearly agreed to receive them?”

If any part of that answer is unclear, approval slows down or fails.

This checklist is built to prevent that—before you submit, not after rejection.

Step 1: Business Identity Must Match Exactly

What carriers check

Your brand registration is validated against official records:

• EIN (or tax ID)

• Legal business name

• Business type (LLC, INC, etc.)

Even small inconsistencies matter.

Common mistakes

• Using a DBA instead of the legal entity name

• Formatting differences (e.g., “LLC” vs “L.L.C.”)

• Typos or spacing inconsistencies

What breaks if ignored

• Immediate rejection or “unverified” status

• Delays that require resubmission

• Loss of approval priority in queues

Checklist

• Does your EIN match your legal business name exactly?

• Are you using the official name from IRS documentation?

• Is your business verifiable online (website, listings)?

Step 2: Use Case Must Be Specific and Realistic

What carriers expect

A clear, narrow description of what messages you send.

Not:

• “Customer communication”

• “Notifications and promotions”

But:

• “Appointment reminders for existing customers”

• “Order status updates for e-commerce purchases”

Why this matters

Carriers assign risk based on use case. Vague descriptions increase perceived risk.

Common mistakes

• Combining multiple use cases into one campaign

• Writing generic or overly broad descriptions

• Not matching actual message behavior

What breaks if ignored

• Rejection due to unclear intent

• Approval with low trust score

• Filtering after approval due to mismatch

Checklist

• Is your use case specific to one message type?

• Does it reflect exactly what users will receive?

• Would a third party understand your messaging without guessing?

Step 3: Provide Clear Message Examples

What carriers look for

Realistic examples of:

• Actual message tone

• Structure

• Content type

Examples help carriers validate:

• Whether your use case matches reality

• Whether your messages are compliant

Common mistakes

• Writing overly clean or unrealistic examples

• Using generic placeholders

• Not including opt-out language

What breaks if ignored

• Approval delays due to lack of clarity

• Increased scrutiny during review

Checklist

• Are examples similar to real campaigns you will send?

• Do they include sender identification?

• Do they include opt-out instructions (e.g., STOP)?

Step 4: Document Your Opt-In Process Clearly

What carriers require

Proof that users:

• Know they are signing up for SMS

• Understand what messages they will receive

Required elements

• Clear consent language

• Message purpose disclosure

• Frequency indication

• “Msg & data rates may apply”

• Opt-out instructions

Common mistakes

• Missing or vague opt-in language

• Pre-checked boxes

• No record of how consent is collected

What breaks if ignored

• Campaign rejection

• High complaint risk after approval

• Long-term filtering issues

Checklist

• Can you show exactly how users opt in?

• Is consent language explicit and visible?

• Are opt-in records stored (timestamp, source)?

Step 5: Website Must Support Your Claims

What carriers validate

Your website is used to confirm:

• Business legitimacy

• Messaging intent

• User transparency

• Clear description of your business

• Privacy policy

• Contact information

• Evidence of how SMS is used (if applicable)

• No mention of messaging anywhere on the site

• Incomplete or missing privacy policy

• Mismatch between website and use case

• Brand verification failure

• Campaign rejection due to lack of trust

• Does your website clearly describe your business?

• Is your privacy policy accessible and complete?

• Does your site align with your messaging use case?

Step 6: Separate Campaigns by Use Case

What carriers expect

Each campaign should represent a single messaging purpose.

Mixing use cases increases risk:

• Promotions behave differently than alerts

• Engagement patterns vary

• Complaint risk changes

• Combining marketing and transactional messages

• Using one campaign for multiple departments

• Lower trust score

• Increased filtering after approval

• Difficulty scaling specific message types

• Is each campaign tied to one clear use case?

• Are different message types separated logically?

What happens after approval

Carriers continuously compare:

• What you said you would send

• What you actually send

Common drift patterns

• Adding promotions to a transactional campaign

• Changing tone or frequency

• Introducing new message types

• Gradual filtering increase

• Trust score degradation

• Potential campaign suspension

• Do your live messages match your registered examples?

• Are you avoiding changes without updating registration?

• EIN and legal name match exactly

• Business is verifiable online

Use Case

• Specific, single-purpose description

• Matches actual messaging behavior

Message Examples

• Realistic and compliant

• Include opt-out language

Consent

• Clear opt-in process documented

• Full disclosure provided

Website

• Reflects business and messaging intent

• Includes privacy policy

Campaign Structure

• One use case per campaign

• No mixing of message types

Most platforms treat 10DLC as a form you fill out once.

TextTorrent treats it as a validation process before submission.

That includes:

• Verifying EIN and business name alignment

• Structuring campaigns based on actual use cases

• Reviewing message examples for compliance

• Identifying gaps in opt-in or website clarity

Instead of reacting to rejection, issues are addressed before submission—reducing delays and improving approval success rates.

10DLC approval is not difficult—but it is precise.

Failures happen when:

• Business data doesn’t match

• Use cases are unclear

• Consent isn’t provable

• Messaging behavior isn’t consistent

If you treat it as a checklist and validate each step before submitting, approval becomes predictable.

If you skip steps, delays are almost guaranteed.