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We exist to help entertainment companies across film, television, and games truly understand their audiences. Not just who they are, but what migrates them, what they'll watch next, and how to reach them more effectively. We turn audience data into the competitive intelligence that drives development, greenlights production, and sustains audience growth — adding to the lifetime value of intellectual property.
Deep profiling of who your audiences are — their behaviours, motivations, and affinities — across film, TV, games, and brand ecosystems. Know your audience before you greenlight.
Using machine learning to forecast audience appetite, viewership, and engagement before a title releases — so decisions are made on signal, not instinct.
Precision targeting and performance measurement for entertainment campaigns — ensuring every marketing dollar reaches the audiences most likely to convert and advocate.
Understanding player behaviour, retention drivers, and community dynamics to help game studios and publishers build products audiences keep coming back to.
Data-driven intelligence for brands entering entertainment — identifying the right audiences, partnerships, and cultural moments to build authentic, lasting connections.
Real-time and longitudinal analysis of content performance across streaming platforms — surfacing what's working, what's not, and where the next opportunity lies.
Inanna Intelligence was founded on a single conviction: that data, handled with rigor and elegance, is the most powerful competitive advantage available to any organization.
We are a boutique analytics firm specializing in the full data lifecycle — from architecture and collection through to the insights that drive decisions at the highest level.
Our team brings together expertise across data engineering, statistical modeling, and strategic consulting. We partner deeply with clients, embedding ourselves in their context to deliver work that is not just technically excellent, but genuinely transformative.
Whether you're looking to build a data practice from the ground up, or elevate an existing one — we'd love to hear about your challenge.