Actionable predictions for media cos

Advertising yield, subscriber retention, content discoverability, watcher / listener reengagement, and cost optimisation are just some of the burning issues in media.
The Sourse platform provides decision support tools prebuilt for media marketing and product owners, helping decision makers better understand their audiences and optimise their digital products and marketing.

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The AI business case

Lift in customer engagement

By matching dynamic clusters with content that makes them click.

Increase in MAU

Delivery of recommendations at scale across marketing and product experiences.

Increase in watch / listening time

Full personalisation of product experiences using behavioural and content insights.

Precise personalisation using rich content and audience insights

Data-driven dynamic audience clustering is part of our secret formula. Sourse uses behavioural data, preferences, external segmentation, third-party data, and previous viewing / listening to understand a person’s propensity to engage. With this insight, we identify similar behaviours and motivations in other viewers / listeners to build a richer understanding of customers and their behaviour. When combined with rich content insights – developed by extracting subjects and sentiment and by appending rich meta data – personalisation and recommendations moves to a new level of precision and impact.

Personalisation, planning and actionable insights

Sourse delivers actionable insights about users and content so recommendations and engagement strategies can be delivered in real time at scale.

Customers Acquisition Advertising Yield MAU / DAU (Retention) Data-driven Dynamic Clusters Personalisation

Experiment then optimise

Marketing Product Experience Product | Marketing | Service

Prediction Using Prebuilt AI Models

Recommendations Dynamic Clustering Return on Effort Advertising Yield

Real-time data ingestion

Fast, reliable, and secure data pipelines. Prebuilt connectors for OVP, meta data, and ad management technologies.

Viewing / Listening Subjects and Sentiment Third-party Meta Data and Market Info Marketing / Advertising / Segmentation Preferences and Surveys

Hyper-personalised recommendations

Sourse uses complex inferences derived from content analysis and audience data to match content to customers using recommendations. Personalisation can be taken to the next level in product experiences using hyper-personalised recommendations, item-based recommendations, and trending style recommendations that are agnostic of traditional media types – to a viewer / listener, it’s all just entertainment.

Forecasting and anomaly detection

AI is applied to learn complex, over-time trends, and daily or monthly changes to predict future business performance by audience or content types. The application of AI allows real-time forecasting and up-to-the-minute prediction on watching / listening and advertising opportunities.

Predictive insights across all KPIs

KPI insights are explained at a population level to provide strategic insights across behaviour, retention, and engagement. Each model is explained in the context of revenue and opportunity, causes or reasons, and dynamic clusters that can be targeted.

Experimentation workbench

Small-scale testing to validate AI insights and treatments to improve the probability of success. Experiments can be easily run through a client’s digital channels or using MVT tools to elicit a statistically reliable prediction of success before committing to budgets and resources to deploy large-scale changes.

Always on, real time learning optimisation

Real time recommendations and engagement campaigns are continuously learning from viewer behaviour and engagement. Sourse allows personalisation to be delivered innovatively through the product experience in real time, at scale. The application of AI allows self-learning, meaning continuous improvement is automated and uplift modelling is applied for maximum impact.

Partners

Prebuilt connectors with major cloud ecosystem vendors to automate experiments and optimisations.

  • 6x increase in viewing time

    “By building discoverability into our service, we materially uplifted our MAUs”

    – Sports streaming app

  • +96% recommendation accuracy

    “Accurate and precise recommendations gave us confidence to take recommendations out of a rail and instead tailor our whole UX.”

    – Broadcast and cable operator

Contact us

We’d love to talk to you about the application of AI in your business. If you’re a business or IT decision maker, get in touch to find out more.

Contact us