Start with connected artist data.
Students examine streaming, chart, audience and territory data, identify what matters and explain the limits of the evidence.
Music Intel brings connected artist intelligence, CampaignManager and Reporter into lecturer-led, project-based teaching. Students examine artist data, decide what matters, plan marketing and release activity, and evaluate the result. The course retains control of the brief, assessment and learning outcomes.
A teaching partnership configured around the course, with capabilities selected for the learning outcomes.
Students examine streaming, chart, audience and territory data, identify what matters and explain the limits of the evidence.
CampaignManager connects artist intelligence to priorities, next actions, briefs, approvals, campaign journeys and results.
Lecturers define the project, access, data scope, confidentiality, assessment and learning outcomes.
Each stage gives students a practical responsibility. The platform makes the evidence, decisions and work visible while the lecturer retains control of the teaching brief.
Examine connected artist intelligence to understand performance, audience behaviour, territory context and release priorities.
Turn the findings into a reasoned marketing, audience development or release plan. Students document the evidence, assumptions and trade-offs behind their choices.
Use CampaignManager, powered by the artist's music data, to set priorities, organise next actions, manage briefs and approvals, and build campaign journeys.
Review campaign activity and results through Reporter, compare the outcome with the original plan and produce a structured evaluation.
Agree the learning outcomes, roles, project scope, selected capabilities, support and review measures before access begins.
Identify the decisions students need to understand, the project format and the relevant teaching period.
Begin with the core pathway and include specialist areas only where they support the teaching brief.
Agree lecturer and student roles, data boundaries, confidentiality, onboarding and staff support.
Evaluate platform use, teaching fit, completed work and operational requirements before considering a wider deployment.
A course does not need every Music Intel capability. Access is selected around the decisions students need to understand and the projects they will complete.
Connected artist intelligence, CampaignManager and Reporter support the journey from analysis to campaign evaluation. Artist Lab can support student and artist collaboration where appropriate.
Explore Musicata Pro for teaching and campaign evaluationAdd AgentRadar for talent discovery, StreamShield for streaming integrity, TourManager for geography and directional touring questions, or BlackBox Royalty Investigator for specialist rights and royalty investigation.
BlackBox Royalty Investigator is a separate, investigator-led application. Its protected methodology remains confidential and is disclosed under NDA where appropriate.
Explore the BlackBox forensic evidence modelUse the published pieces below as teaching context, not as substitutes for independent sources. Students should test each argument against its stated evidence, assumptions and limitations.
Share the course outcomes, cohort, project format and the decisions students need to practise. We will propose selected capabilities, access, support and review measures for a defined pilot.