Simulate how subscribers, advertisers, and industry experts will react to your next content, pricing, or product decision. Across SVOD, AVOD, and FAST.
Streaming lives on subscriber trust, content velocity, and advertiser confidence. MediaDatak brings testable, repeatable insight to every decision that shapes your platform.
Screen concepts, test genre expansion, evaluate talent attachment, and triage IP acquisitions. Know which bets generate start intent before you write the check.
Simulate price increase sensitivity, tier architecture, bundle strategy, and account-sharing policy changes. Protect revenue without destroying trust.
For ad-supported tiers: test ad-load tolerance, new formats, self-serve products, and what would actually make buyers increase spend.
Binge vs. weekly. Staggered vs. global day-and-date. FAST channel launch viability. Model retention, social conversation, and total ecosystem lift.
Homepage personalization, discovery UX, download features, parental controls, watch parties. Test which features drive retention and which are noise.
Identify churn drivers by cohort, test win-back campaigns, optimize reactivation timing, and model the content-to-retention link across your catalog.
From concept screening to franchise extension, simulate subscriber response across genres, formats, and markets before committing production budget.
Test loglines, premises, and tonal directions for a slate of ideas. Identify which concepts generate genuine start intent vs. passive interest. Compare limited series vs. multi-season, dark vs. light, scripted vs. unscripted -- and know which combination your target segments will actually watch.
Predict how your existing base reacts when you move into adjacent genres. Crime to legal thriller, drama to anime, family to adult animation -- map the safest expansion paths.
Stress-test whether extending a franchise world one more time strengthens loyalty or triggers exhaustion. Know when to stop before the audience tells you.
Forecast whether a local-language title has travel potential across markets. Identify which cultural triggers translate and which create friction.
Every pricing decision is a trade-off between revenue and retention. Simulate subscriber reaction across segments before you restructure tiers, raise prices, or enforce account rules.
Model churn risk and brand trust impact at various price points, segmented by plan type, household composition, and engagement level. Know exactly which subscribers are at risk, what messaging reduces backlash, and whether pairing the increase with a tentpole launch softens the blow.
Test how many tiers improve clarity vs. create confusion. Simulate whether an ad-lite option cannibalizes premium or expands the base.
Model adoption when bundled with telcos, devices, or other services. Identify whether bundles drive incremental subscribers or just subsidize existing ones.
Forecast public backlash vs. revenue upside for household rules. Test which communications and alternative offers reduce cancellation intent.
If you run an ad-supported tier, you need two things: subscriber tolerance and advertiser demand. Simulate both before launching new products or changing ad load.
Ask media buyers directly: what would make you shift budget to our platform? Self-serve booking, real-time dashboards, mid-flight optimization, attribution reporting, brand safety controls. Rank the levers, build the product roadmap, and sell with evidence.
Model viewer reaction to 2 vs. 4 vs. 6 minutes of ads per hour. Identify where satisfaction collapses and where frequency capping expectations break.
Interactive ads, pause ads, shoppable moments, sponsorship overlays -- simulate whether subscribers find them valuable or intrusive before you pitch buyers.
Streaming + social + audio + out-of-home: test which ad packages feel valuable to buyers and which create confusion. Build the bundle that unlocks budget.
Churn is the tax on every streaming business. Understand what drives it, what prevents it, and what brings people back -- before you spend the reactivation budget.
Identify which decision moments push subscribers out: price, content drought, ad load, app friction, competitive release. Segment by cohort, plan type, and tenure.
Test which messages and offers bring lapsed users back without training them to churn-and-return. Model optimal timing: immediately vs. after a tentpole drops.
Map which upcoming titles are most likely to keep at-risk segments subscribed. Prioritize marketing spend on the content that actually prevents cancellations.
"Best stories." "Best value." "Most premium." "Most for families." Simulate which positioning feels credible to your audience -- and which sounds like marketing.
Test a new name, logo, interface, or tone of voice before you commit. Measure whether a refresh reads as modern or confusing to your subscriber base.
Simulate baseline demand, price sensitivity, and minimum local content requirements for new markets. Know how much local you need to feel "for us" not "imported."
No subscriber data required. No CRM uploads. You define the decision. We simulate the market response.
Tell us the greenlight question, pricing move, product bet, or ad strategy you're weighing. We scope the simulation to your market, segment, and competitive context.
Our MaxEnt engine generates a statistically valid subscriber population from aggregated market data. No personal information is ever processed or stored.
Your question is tested against subscribers (will they watch and stay?), advertisers (will they spend?), and industry experts (is it credible?). One decision, three perspectives.
You receive an actionable memo: audience scoring, weak points identified, alternative directions simulated, and a clear strategic action plan -- not a deck to file away.
Decision-ready outputs in days. No subscriber data required. See it work on your real content, pricing, or product question.