Division 07 of Seven
Market Intelligence & Research

From the dataset Lab generates, Insights produces sellable intelligence.

Insights is the consequence of Lab. Where Lab integrates and analyses, Insights packages and sells — converting the group’s behavioural dataset and market position into proprietary indices, subscription reports, and bespoke research. This is the moat division: a decade of accumulated behavioural data is impossible to back-fill.

70%+
Target Margin
Quarterly
Publishing Cadence
1.5M+
Dataset Foundation
Allocation
Theory Series

What We Do

TBN Insights

Insights is the consequence of Lab. Where Lab integrates and analyses, Insights packages and sells — converting the group’s behavioural dataset and market position into proprietary indices, subscription reports, and bespoke research. This is the moat division: a decade of accumulated behavioural data is impossible to back-fill.

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  • Quarterly industry reports — Asia-Pacific live entertainment indices
  • Subscription data products for sponsors, promoters, brands, and investors
  • Bespoke research engagements (e.g. Kai Tak Effect, Fan Capital indices)
  • Allocation Theory — the group’s thought-leadership publication series
  • Whitepapers, founder’s notes, and editorial publications

Strategic Objective

To convert the group’s proprietary behavioural dataset and market position into a separate, recurring, high-margin revenue stream — and to establish TBN Ventures as the canonical research authority on Asia-Pacific live entertainment.

Why It Matters

Value for every stakeholder in the ecosystem.

StakeholderValue
Industry & BrandsSubscription access to verified behavioural indices unavailable elsewhere in Asia.
SponsorsPre-event demand modelling, post-event attribution, fan-capital benchmarks.
Media & AcademiaAuthoritative source data for journalism, policy research, and academic citation.
Investors70%+ margin SaaS-like recurring revenue, and a proof point for the group’s data moat.

TBN Insights

Part of the TBN Ventures closed-loop engine. Seven divisions. One dataset. One compounding story.

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