This is an Early Access feature. To enable it for your account, please contact your MoEngage Customer Success Manager (CSM) or the Support team.
Overview
The Fuzzy Opt-Out feature in MoEngage helps you comply with the latest U.S. Federal Communications Commission (FCC) regulations for managing SMS subscriptions. This feature improves the accuracy of identifying and processing opt-out requests, even when users enter incorrect, misspelled, or alternative versions of opt-out keywords. It helps prevent sending SMS marketing messages to users who intend to unsubscribe, which protects the user experience and reduces compliance risks. The feature effectively handles common opt-out phrases and certain offensive terms to ensure your campaigns remain user-friendly and compliant.Key Highlights
Some of the key highlights of this feature are as follows:- New attribute: A boolean attribute, Is Fuzzy Match, has been added to the SMS Keyword Received event.
- When Is Fuzzy Match is True:
- The keyword type is stored as OPTOUT.
- The user’s subscription status is updated to OPTOUT.
- When Is Fuzzy Match is True:
- Advanced keyword detection: The algorithm handles scenarios involving:
- Variations in letter casing.
- Leading or trailing spaces.
- Common typos, abbreviations, or alternative spellings of opt-out keywords (using fuzzy matching).
- Offensive language handling: Messages containing offensive or vulgar language are treated as opt-out requests to avoid offending users with unwanted communication.
- Error management:
- Missed opt-outs: Although the algorithm handles many cases, some user inputs intended as opt-outs might not be detected correctly.
- Incorrect classifications: Some messages might be mistakenly classified as opt-out requests because of ambiguous user input.
How Fuzzy Opt-Out Works
When a user replies to your SMS campaigns, the Fuzzy Opt-Out algorithm processes the message as follows:- Direct matching: The user’s message is compared against a predefined list of opt-out keywords. This includes exact matches (for example, STOP or unsubscribe) and variations with different casing or extra spaces (for example, stop or UNSUBSCRIBE).
- Fuzzy matching for misspelled or varied keywords: Fuzzy search logic identifies messages with typos or variations. For example, messages like Stahp, Cansel, Unsubcribe, or opt-out are detected as opt-out requests. Messages unrelated to opt-out intent are not detected.
- Offensive language identification: Messages with offensive language that users generally do not wish to receive are marked as opt-out requests.
- Subscription update: If an opt-out intent is confirmed (through direct or fuzzy matching), the user’s subscription status is updated to OPTOUT.
Behavior Without Fuzzy Opt-Out Enabled
If the Fuzzy Opt-Out feature is disabled, MoEngage only recognizes:- Exact keyword matches.
- Minor variations, like differences in letter casing or leading and trailing spaces.
Example Scenarios
The following table shows how different user responses are handled:| User Response | Action Taken | Reasoning |
|---|---|---|
| STOP | Opted Out | Exact match to a predefined opt-out keyword. |
| stop | Opted Out | Matched keyword; case differences handled. |
| Stahp | Opted Out | Fuzzy match detected for a typo of Stop. |
| stopppppppp | Opted Out | Fuzzy match detected for a typo of Stop. |
| atop | Opted Out | Fuzzy match detected for a typo of Stop. |
| Messages containing profanity | Opted Out | Explicit offensive term identified as opt-out. |
| Cancel my subscription | Opted Out | Contains the opt-out keyword Cancel. |
| ”Hey, just opt me out!” | Opted Out | Fuzzy matching detected opt-out. |
| HELP | No Action | Non-opt-out keyword detected. |
| Hello 😊 | No Action | Neutral intent detected (not opt-out). |
Compliance Benefits
Some of the compliance benefits are as follows:- Enhanced user experience: Ensures users are removed from campaigns when they express an intent to opt out, even with misspellings or extra spaces.
- FCC compliance: Helps meet U.S. regulations requiring businesses to honor opt-out requests promptly and accurately.
- Risk mitigation: Reduces the chance of fines and complaints from incorrectly processed or missed opt-out requests.
Limitations and Considerations
Some of the limitations and considerations are as follows:- False negatives: Some opt-out attempts might be missed if the user’s input is ambiguous or uses highly unique phrasing that the algorithm cannot detect.
- False positives: Some messages, particularly those with borderline or casual language, might be incorrectly classified as opt-out requests.
- Custom keyword handling: Businesses should define additional specific opt-out keywords during setup for unique scenarios.