Eliminate Spam Likely Call Tags 🙅

In an era of ubiquitous robo-calls and sophisticated phishing scams, consumers are under siege ⛓️‍💥. As a result, the phone networks have adapted, creating a new, highly visible and career-threatening visual for legitimate businesses: the “Scam Likely” and “Spam Likely” flag 😬

At Signal House, we recognize that if your outreach is labeled “Scam Likely,” your outreach is dead 💀. The problem is universal. Your target audience—whether they are prospects, customers, or partners—will simply not answer 😅

In this guide, we reveal exactly how these labels are assigned, how you can build compliance protocols to prevent them, and how Signal House provides native solutions for proactive number health 🏥. Want to see the video that inspired this post? You can do so Here!

Meet the Gatekeepers: Hiya, TNS, and First Orion 👮

To stop these flags, you must first know who is creating them. The labeling is not arbitrary. There are three key data companies that have partnered directly with the three major U.S. carriers. They hold the proprietary data on which business calls are legitimate.

• 🛡️ First Orion: Partners with T-Mobile.
• 🛡️ TNS (Transaction Network Services): Partners with Verizon.
• 🛡️ Hiya: Partners with AT&T.

When these organizations see activity that breaks their compliance patterns, they flag the number, and that flag propagates across the entire network 🚩

Habits That Kill: The Top Risks to Your Number Health 😬

Your number health is not static; it’s a direct reflection of your habits. Below are the most serious compliance mistakes that will instantly sabotage your outbound operations.

1. SMS Compliance is Part of Voice Reputation 📱💬

It is a misconception that messaging and calling are siloed. They are not. If a single phone number has 1,000 text messages sent, and 350 of them result in an opt-out, that is a 35% opt-out rate.

The carrier data partners (Hiya, TNS, First Orion) see that pattern. They interpret a 35% opt-out rate as a lack of consent, labeling you a spammer. That same bad reputation then applies to any phone calls made from that number 😳

Your opt-out rate should always remain below 3% to maintain a healthy reputation 🩺

2. Beware the Database Reactivation Pitfall 📉

Reactivating an old database is an essential business practice, but it must be done with extreme care. Sending 1,000 messages to an aged list is a guaranteed recipe for high opt-out rates.

• The Remedy: Do not blast an old database all at once. Instead, interlace those reactivation messages with your normal, high-consent traffic. This protects your reputation metrics.

3. iOS 18 “Report as Junk” 🚮

Modern operating systems, specifically iOS 18, now give users the ability to report any number as “junk,” effectively placing it in a spam folder. Messaging providers do not see this data, but the carriers do.

If your reporting threshold exceeds 2-3%, you are marked as a spammer, robo-caller, or phishing actor. Tighten your internal compliance protocols to ensure every user has truly opted in.

Signal House: Native Voice is Coming! 📞✨

While Signal House has specialized in high-consent SMS, we are quickly branching out. Short codes, toll-free, and native Voice are right around the corner. This allows you to manage your complete multi-channel identity from one provider, and it gives us the ability to proactively manage your number health.

When you use phone numbers through Signal House, we implement native cleansing and remediation.

• 🔒 Weekly Cleansing: We run your phone numbers through the three data providers every single week to proactively identify any spam complaints or low-reputation scores 😎
• 🛠️ Remediation: We leverage our upstream access to submit remediation requests for any incorrectly flagged numbers. We have a robust process to change “Scam Likely” back to your desired CNAM (Caller ID) or just the clean phone number 🙌

You cannot afford to wait until your delivery rates collapse. If you are ready to build a business that makes money while you sleep, you need infrastructure that protects your ultimate moat: your connection to the customer.

📧 Contact Us: sales@signalhouse.io 🌐 Visit Our Website: SignalHouse.io