Media
Understand your audience, keep its data in-house.
Media analytics on a single standard server: prepare audience and subscription data at scale, predict churn and explain every model.
Built for scale
Billions of rows processed on a standard server, no cluster.
Audience data stays put
On-premise or private cloud. Subscriber and audience data never leave your infrastructure.
Fast to results
VIVO Brazil doubled its cross-sell revenue in 15 days.
Our approach
Built for what media analytics actually needs.
Connects to the audience, subscription and CRM sources you already run, and keeps every model explainable.
Anatella | Data prep engine
Connect to any source
Audience logs, subscription records, CRM and campaign exports, whatever their format.
Clean and join at full scale
Billions of rows aggregated and reconciled without sampling.
One pipeline, one server
From raw files to a model-ready dataset, no separate ETL tool, no cluster.
Modeler / Predictive Engine
Churn and propensity models
Predict who is about to leave, and who will respond to which offer.
Algorithms competing mathematically
Several models benchmarked against each other, the best retained on statistical merit.
Built-in Drift Report
Audience behavior changes with seasons and events. The report flags a model losing accuracy before it costs a decision.
SOLUTIONS
Subscriber analytics, proven at scale.
Churn and next-best-offer projects on large subscriber bases, delivered in telecom.
Inbound sales up 20% within the 300-second SLA
The best offer is proposed to each caller in real time, adding €1.5M in revenue.
Churn detection accuracy up from 45% to 57%
21.4 million subscribers and 12.1 billion records analyzed with TIMi.
Problems solved
What media teams fix with TIMi.
Audience data scattered across tools
Web, app, subscription and CRM data sit in separate systems, with no single view of the audience.
Churn spotted too late
The warning signs are in the data long before a subscriber cancels, but nobody reads them in time.
Offers that miss their target
Generic campaigns reach everyone and convert few. Targeting by predicted response lifts results.
Audience data on third-party platforms
Subscriber data processed on external platforms adds a regulatory exposure that was never explicitly decided.
FAQ
Common questions.
What is TIMi used for in media?
Media teams can use TIMi to prepare audience and subscription data, predict churn, personalize offers and segment audiences. TIMi’s reference projects on large subscriber bases are in telecom, with VOO, MTN and VIVO Brazil.
Does TIMi have media references?
We do not publish a media case study yet. The closest examples are subscriber-base projects in telecom: VOO (real-time offers and fraud prevention), MTN (churn) and VIVO Brazil (cross-sell).
How much audience data can TIMi process?
TIMi processes billions of rows on a single standard server. For MTN, it analyzed 12.1 billion records from 21.4 million subscribers.
Can we segment our audience visually?
Yes. Stardust, TIMi’s 3D segmentation tool, lets teams explore clusters, outliers and hidden patterns in large datasets.
Where does our audience data go?
Nowhere. TIMi is on-premise by design, with no external cloud dependency at runtime, so audience and subscriber data stay in your infrastructure.
How do we keep a churn model accurate over time?
TIMi’s built-in Drift Report flags when a model’s accuracy shifts, so it can be retrained before it leads to a wrong decision.
SEE FOR YOURSELF
Don’t take our word for it.
Run TIMi on your own data with a free trial or request a live demo.
