You Already Have the Viewers. Now Let Their Behaviour Work for You.
Every play, pause and drop-off is a signal. We turn those signals into better recommendations, longer viewing and smarter content decisions.
- 1
Viewers who find something faster stay longer.
Personalised picks that learn from what viewers actually finish — not just what they click — so less time scrolling and more time watching.
- 2
Fewer viewers drifting away.
Spot the moment people stop finding things they like, and put the right title in front of them before they leave.
- 4.6%
of US premium streaming subscribers cancel every month, on average. And nearly 1 in 4 US streaming subscribers has cancelled three or more services in two years.
We show you the moment viewers start drifting, so you can put the right title in front of them before they cancel.
Source: Antenna, State of Subscriptions 2025 and Understanding Serial Churners
- 3
See the demand you're not serving.
Find out what your viewers search for and can't find on your service, country by country — so you know what to license next.
- 4
Turn viewing insight into revenue — if you choose.
Off unless you switch it on: join our industry insight network and earn a share of what businesses pay for anonymous, combined viewing trends. Your viewers are never identified, and you can switch it off any time.
Real screens from the product — not mock-ups.
Genuine screenshots of our partner dashboards.
See what your service could produce.
Watch a 2-minute simulation of the engine, built for Streaming Services & Broadcasters.
Watch your 2-minute simulationFor technical teams
One documented connection: your systems send what viewers do, ask for picks, and get them back instantly — with privacy rules, limits and copy-and-paste examples all set out.
Questions buyers ask
How long does it take to set up?
Usually days, not months. Your developers send us what viewers do and ask for picks through one simple, documented connection — we give them a short integration guide and a test setup to try it first. See how it connects.
Do you sell our data?
No. Your data stays yours. We use it only to make your viewers' picks and your own reports, which you own. We never sell it or share it. If you stop, we delete it.
Which countries do you cover?
Available now in Australia, the US, the UK, Canada and New Zealand. Other countries on request — the engine works anywhere; we add your markets when you join.
What does it cost?
It depends on the size of your audience and what you need — we'll give you a clear quote on a call. You can see it working on a test setup before you commit.
Is our customers' data safe?
Your data stays yours. We never sell it. We never receive names, emails or contact details — only your own anonymous customer number, which we scramble again the moment it arrives. You can delete any viewer at any time, and your viewers' data is never shared with third parties without your permission.
What if we only have a small audience?
It works from day one: new viewers get well-rated starter picks straight away, and their picks become personal after their first overnight run. It simply gets sharper as viewing builds up.
What if it doesn't beat what we have now?
You'll see it straight away. A small share of your viewers always gets a plain popular list instead, and your dashboard compares the two groups every night — so you're never taking our word for it.
Is this AI?
No black box. It follows clear, consistent rules about what each viewer finishes and quits, and every pick comes with a true, plain-English reason you can check.
Simulate OTT User Churn Metrics and Behavioral Validation Data
Discover how to accurately simulate OTT user churn metrics and evaluate deep audience engagement patterns without risking critical platform performance drops or infrastructure codebase crashes. The TVButlerPro predictive data matching suite serves as a live behavioral analytics validation platform, mapping high-density synthetic user behavioral metrics and processing deep multi-signal frontend data telemetry matrices.
Rather than relying on simple click logs, our real-time streaming simulator evaluates micro-consumption habits—including player start-stop data strings, title tracking actions, explicit content rejections, and unmet viewer demand analytics. This advanced dataset models how a 10,000-viewer audience interaction stream operates overnight against an active catalog, processing thousands of media assets checked and completing thousands of personalized content lists with zero fallback errors. Integrating these multiple telemetry streams delivers a reliable business optimization framework, helping software architects predict retention curves, analyze content discovery trends, and optimize total VOD platform ROI across our primary three streaming technology product lines.