
Mobile Carriers Show 2022
This event is the only North American event to focus exclusively on smart strategies, technology innovations, and business opportunities for carriers within the mobile world.
Ever wonder how many apps are on your phone? Or how many times a day you check it?
According to our survey, 54% of people have between 30 and 89 apps installed.
21.5% check their phones more than 15 times per hour.
These are not just statistics. They are signals. Each app, interaction, and behavioral pattern tells a story. A story of preferences, habits, intent. This is real behavioral data. And it’s happening on-device, in real time.
Rethink what you actually need to know.
Most marketers still fixate on identity. But what if presence and context were more powerful than personal data?
Your phone knows if you’re at home, at work, or commuting, not by tracking your GPS but by identifying patterns, such as Wi-Fi networks and usage behavior.
You do not need an address. You need insight.
Intent Edge shifts the focus from who the individual is to what the device knows they are doing. It is time to change the lens.
Intent HQ surveyed 200 smartphone users to uncover just how deeply embedded their devices are in their daily lives.
Highlights include:
This is not panel data that is weeks old. This is live, actionable behavioral intelligence.
What if your marketing was shaped by behavior rather than assumption?
What could you learn from app presence, install frequency, and contextual triggers?
What would you do differently if you knew when your customers were commuting, relaxing at home, or actively browsing news or entertainment apps?
If you could deliver hyper-relevant experiences at the right time, in the right place, without needing to know who someone is, would you do it?
Without collecting personal data or tracking your identity, Intent Edge can understand context in motion. From app usage to Wi-Fi patterns and ambient signals like Bluetooth or accelerometer activity, your device captures moments that reveal intent.
In this short video, you’ll see how different signals, whether someone is commuting, shopping, or working out, help define not who a person is, but what they need, when they need it. It’s not about profiles. It’s about presence. And knowing when not to engage is just as powerful as knowing when to act.
Model collapse happens when AI learns from recycled information. Intent Edge avoids that trap.
It uses three principles:
When your intelligence is grounded in what people are actually doing, it stays current and sharp. That is the difference between meaningful insights and stale assumptions.