Artist Signal Reports · Before The Data

Who it is for

A&R reps and managers who want context, not raw numbers.

People whose job is making the call, not running the spreadsheet. The signal report saves you 30 minutes of digging by handing you the read up front.

The problem

Numbers without a story are just noise.

A spike on TikTok could be bots. A jump in monthly listeners could be a paid playlist. The data alone tells you something moved. The report tells you whether to care.

What it tracks

The signals that matter.

01

Why it landed

The specific signal that triggered the add. Stream velocity, UGC pattern, social break.

02

What is moving

The one or two metrics doing the real work, not the full dashboard view.

03

What to watch

The next 7 to 14 days, what to keep an eye on, when to revisit.

04

Comp artists

Who else is moving the same way. Pattern recognition for context.

05

Risk flags

Bot UGC, fake-spike playlists, one-off virality. Called out, not buried.

06

Chad’s read

The taste call. Whether the artist behind the data is worth a conversation.

How I pick

It is not just taste. But taste is in there.

I am pulling 19 years of curation through every pick. Outside of taste, I am trying to be as objective as possible. I am not agnostic about genre, but I am not loyal to any of it either. Whatever pulls my attention gets a closer look. The For You page sees me, the algorithms know me, and that is part of how candidates surface. The list below is what actually makes the call.

01

Data

What the dashboard says. Stream velocity, UGC counts, social score, follower curves. The number layer that has to be real before anything else matters.

02

Streams

Daily Spotify movement on the top song. Climbing or flat, organic or paid. Streams are the proof, not the trigger.

03

UGC

How real users are using the song on TikTok and Instagram. Real creators, not bots. Real moments, not paid pushes.

04

Momentum

The shape of the curve over time. One-day spikes get cut. Sustained, multi-week climbs get attention.

05

Taste

The part that takes 19 years to build. Whether the artist behind the data has the song, the voice, and the room to actually grow.

“I am subjected to algorithms too. The FYP knows me. That is part of the lens, not a bias to fight.”

The method

Machines do the watching. I do the listening.

AI Agents · 24/7

The data layer.

AI agents surface the candidate. The report is generated from the same data the dashboard pulls.

Chad Hillard · Manual

The taste layer.

I write every report myself. No template, no autogen. The read on the artist comes from 19 years of doing this, not a model trying to sound like a human.

Sample signal report

Here is what early looks like.

Jerri’s signal report ran 280 words on Jan 28, 2026. The summary: stream velocity climbing, UGC building, song doing the work. The read held for 82 days.

Jerri

Hit our radar Jan 28, 2026 · 82-day window · Independent

Loop streams

2K→9.6M

Monthly listeners

254K→764K

TikTok UGC

2.3K→140K

Instagram UGC

752→18K

For the people reading these reports, the value is the 30 minutes you do not spend digging through data. The work is already done.

Why this artist, now.