- Prioritize and Optimize Releases: Focus your marketing and promotional activities on the tracks with the highest potential for success. Optimize release schedules and campaign strategies based on predicted performance.
- Identify Strong Performing Tracks: Discover breakout tracks early, allowing you to allocate resources effectively and capitalize on their momentum.
- Set Realistic Goals: Establish achievable streaming targets and measure campaign effectiveness against objective predictions.
- Improve A&R Decisions: Use predictions to guide A&R strategies, identify promising artists and songwriters, and prioritize the development of high-potential tracks.
- Refine Go-To-Marketing Strategies: Tailor campaigns to specific predicted performance tiers, ensuring that marketing messages and budgets align with realistic expectations.
- Upload Audio: Upload the finalized audio file (MP3, WAV, or M4A) to Songbird. The filename must be the Spotify Track ID. (Include a screenshot of the upload interface in Songbird, with clear annotations showing where to upload the file).
- Input Metadata: Enter the track’s planned release date (YYYY-MM-DD) and the artist’s Chartmetic ID. (Include a screenshot of the metadata input fields, clearly labeled).
- (Optional) Focus Track Designation: If this is a priority track for your marketing campaign, designate it as a “Focus Track.” This adjusts the model’s predictions to account for increased promotional efforts. You can also enter a confidence percentage for your focus track selection (e.g., 80%). (Include a screenshot showing the Focus Track input.) If you are uncertain about this selection, use the focus track probability prediction from the model itself.
- Run K2 Analysis: Click “Run Analysis” to generate predictions. (Include a screenshot highlighting the “Run Analysis” button.)
- Interpret Results: Review the prediction results displayed in Songbird. (Include a screenshot of the results page).
- Audio File (MP3, WAV, M4A): The finalized version of the track.
- Release Date: The planned release date of the track (YYYY-MM-DD).
- Artist ID: The Chartmetric ID of the artist.
- (Optional) Focus Track: A binary indicator (0 or 1) specifying if the track is a priority.
- (Optional) Confidence in Focus Track (Percentage): Level of confidence in Focus Track choice.
- (Optional) Streaming Goal: An explicit number of plays the label wants to achieve.
- Probability Distribution: The model outputs the probability (percentage) of the track achieving various streaming milestones during its first week.
- less 25k
- 25k-50k
- 50k-100k
- 100k-300k
- 300k-500k
- 500k-1M
- 1M-3M
- 3M+
- Focus Track Probability: The model outputs the likelihood of the track being a focus track. A focus track is typically a track the artist actively promotes on socials or other digital channels. Use this prediction to help inform whether to designate a track as “Focus.”
- (If Goal is Provided) Probability of Reaching Goal: If you provided a target number of plays the label wants to achieve during the track’s first week of release.
- Probabilistic Predictions: Predictions are probabilities, not guarantees. Actual results can vary due to numerous external factors.
- Short-Term Focus: K2 is optimized for short-term, first-week predictions. Accuracy decreases for longer-term projections.
- Dynamic Market Conditions: Model accuracy can be affected by unpredictable market trends, viral events, or changes in listener behavior.