Our 60‑day forecasting model consistently performs within ±20% variance — up to 30% more accurate than major‑label analytics and legacy tools.
Stakeholders see accuracy, variance, and metrics — not buzzwords.
Measured superiority, not perfection. Makes the ±20% claim believable.
Everyone says “AI‑powered.” Few show predictive precision this clearly.
Anchor for every deck: “Here’s the industry, and here’s where we are.”
Lower variance means higher confidence. Shorter bars indicate better predictive precision.
| Metric | Industry Average Variance | SoundScope Analytics Variance |
|---|---|---|
| Spotify Streams | ± 25 – 35 % | ± 18 – 22 % |
| Apple/Amazon Streams | ± 30 – 40 % | ± 20 – 25 % |
| Paid Downloads | ± 25 – 30 % | ± 18 – 20 % |
| TikTok Virality | ± 35 – 45 % | ± 25 – 30 % |
| Revenue Forecast | ± 25 – 30 % | ± 20 – 25 % |
We use customer data solely to provide the service and improve model quality under contract. Customer retains rights to their audio, lyrics, and metadata. We do not sell or share PII.
Forecasts are estimates, not guarantees. Variance differs by genre, catalog maturity, and promo inputs. We present explainable drivers alongside each prediction.
Send us one emerging artist or a test slate. We’ll return a comparison brief with forecasts, drivers, and next best actions.