Tuned Global launches streaming manipulation detection

Tuned Global has launched a Service Manipulation Detection solution for streaming clients and rights holders to monitor suspicious activity that can affect play data and royalty reporting.

The new offering is aimed at music streaming services and catalogue owners that need formal controls to detect and prevent artificial activity. Built into Tuned Global's platform, it combines monitoring, automated safeguards and governance processes.

Streaming manipulation has become a growing issue for the music industry, with bots, click farms, scripted listening and coordinated repeat plays used to inflate usage figures. This can distort play counts, chart rankings and royalty allocations, increasing pressure on platforms to detect irregular behaviour and act on it.

Label licensing requirements now often expect services to maintain formal systems for identifying suspicious patterns at the track, artist, user, network and payment levels. Tuned Global said the new service was designed in response to those requirements.

Chief executive officer Con Raso set out the commercial backdrop to the launch. "Rights holders and labels are increasingly explicit in their expectations around streaming integrity, particularly as manipulation directly impacts royalty allocation and chart performance," he said.

"In licensing discussions, they are looking for platforms to demonstrate clearly defined detection frameworks, including the ability to identify suspicious activity at multiple levels (track, user, network), apply consistent thresholds, and maintain auditability over decisions.

"There is also a strong expectation that platforms can take enforceable action, such as excluding artificial streams from royalty calculations and reporting, and provide transparent reporting back to rights holders.

"The Service Manipulation Detection solution gives Tuned Global's clients and their licensing partners a clear, documented system for monitoring, reporting, and enforcement."

How it works

The system operates across several layers of a streaming service. At track level, it monitors abnormal consumption patterns, including unusual play-to-listener ratios, playback bursts and repetitive listening behaviour. At artist level, it examines wider catalogue data for patterns that may not appear in analysis of a single track.

User-level monitoring assesses whether listening behaviour appears plausible, including repeated plays, very high daily activity and invariant habits over time. The framework also reviews network and access signals such as suspicious logins, geographic inconsistencies and shared IP or device activity across multiple accounts.

Automated rule-based detection and statistical anomaly monitoring are embedded in Tuned Global's data processing environment. The system applies daily per-user, per-track play analysis for royalty and chart reporting, and can exclude plays that exceed defined parameters from royalty calculations and chart metrics.

All flagged activity goes through internal review under documented governance procedures. Those procedures include escalation paths, decision standards and audit trails.

Where manipulation is suspected or confirmed, affected plays may be excluded from royalty calculations, removed from chart reporting, or linked user accounts suspended under relevant contractual terms. Participating rights holders can also receive structured reporting, including monthly summaries of discounted plays and periodic updates on manipulation trends.

Existing tools

The new framework works alongside Tuned Global's existing controls, including account authentication, contractual bans on artificial activity and standard content onboarding processes. It also complements the company's existing integration with fraud detection partner Beatdapp, giving clients the option of adding third-party detection tools.

Raso said the service was developed to be accessible to a broader range of customers. "We wanted to make meaningful manipulation detection and prevention attainable for a wider range of services and rights holders from day one. This gives them a structured, integrated starting point that aligns with what labels are asking for in licensing conversations."

The initial implementation phase has been completed, and the framework can now be enabled for individual services or clients that choose to adopt it. In other words, the launch is not limited to a pilot stage but is available as a deployable option within the platform.

Tuned Global, which has operated since 2011, provides music technology and streaming infrastructure to businesses across sectors including telecoms, gaming, fitness, health, media and aviation. It says it has worked with more than 40 companies in more than 70 countries.

Raso also outlined how the detection system may evolve as manipulation methods change. "In the near term, this means expanding from rule-based detection into more adaptive models, including machine learning approaches that can identify both known manipulation patterns and emerging behaviours that do not fit historical norms," he said.

"Over time, the focus will increasingly shift toward predictive and anomaly-based detection, rather than purely reactive measures. A key factor in this evolution is the role of aggregated, anonymised data across Tuned Global's client base.

"As the volume and diversity of data increases, the system becomes more effective at identifying subtle or coordinated manipulation patterns that may not be visible within a single service.

"This creates a network effect, where detection capability improves as more services participate. At the same time, a broader industry challenge remains around alignment - both operationally and commercially - on how manipulation is defined, enforced, and reported.

"Addressing this will be critical to ensuring that integrity measures are applied consistently across the ecosystem, and that both established and emerging artists are protected fairly."