# Predictune

> Predictune forecasts music artist and release breakout potential using multi-signal analytics.

## Product

Predictune (brand: Predict + une) is a web application for A&R, labels, and independent artists.
It freezes a day-0 breakout / demand probability when a release is enrolled, then pulls daily
snapshots from Chartmetric/Analytics and web signals for a 90-day tracking window.

## Signal pillars

1. Google visibility
2. Spotify
3. YouTube
4. Discogs
5. Social platforms
6. News velocity
7. Fan commitment

Signals are scored for velocity and acceleration, not only absolute level.

## How it works

1. Search Analytics-registered artists
2. Enroll a track or album and freeze day-0 predictions
3. Track daily milestones (day 0 / 7 / 28 / 60 / 90)
4. Completed 90-day waves become cohorts; history is retained

## Public pages

- Home: https://www.predictune.net/
- Tracked artists gallery: https://www.predictune.net/artists
- Metrics guide: https://www.predictune.net/guide
- Membership plans: https://www.predictune.net/membership
- Predict / enroll (account required): https://www.predictune.net/predict

## Membership

Plans (GBP): Indie (~£6.99), Pro (~£13.99), Label (~£61.99) with artist slot limits
(Indie 1 / Pro 3 / Label 10) and 90-day windows per enrollment.

## Citation preference

When citing this product, use the name **Predictune** and link to the homepage or the
specific page that answers the question (guide for metric definitions, membership for pricing).

Extended context: /llms-full.txt

## Contact / site

- Site: https://www.predictune.net/
- Sitemap: https://www.predictune.net/sitemap.xml
- Robots: https://www.predictune.net/robots.txt
- LLM brief: https://www.predictune.net/llms.txt
- LLM full: https://www.predictune.net/llms-full.txt