Shazam

What Stevin gets out of Shazam

Shazam is not a marketing platform, it is a thermometer. Someone hears your track somewhere, grabs their phone, and wants to know what it is. That action is a more honest signal than a like, because there is real curiosity behind it. That makes Shazam valuable in a way most analytics miss: it shows you where your music is being discovered, not where you are already known. The problem is that the data stays put. A spike in a city after a radio play or a performance is an open door for targeted promotion, but without something acting on it nothing happens. Stevin reads the Shazam data, ties a spike to an event or a moment, and turns it into a recommendation: switch ads on in the region where recognitions are climbing. We run nothing unseen, you see every proposal first.

What you pair it with

Shazam as a signal source only works if you can also activate the geo-data somewhere, so count on an ad platform alongside it where you can target per region. The data says where you are being discovered, not why, so you need your event and release calendar alongside it to read a spike. Viewed in isolation it is an interesting observation with no follow-through. In practice: let Shazam point to the place and let another system run the promotion, so a recognition spike does not stay a graph but becomes a reason to put budget down with intent.

Common mistakes

• →Admiring a Shazam spike without a channel ready to target the region right away.
• →Not tying the spikes to your event or release calendar, so you do not know what caused them.
• →Reacting to noise: mistaking a small fluctuation for a real discovery moment.