Solution Brief
Improve Media Sales With AI and Machine Learning
Maximize profitability for advertisers, publishers and content providers while retaining audience and market trust
The issue
Media companies need to improve advertising sales revenue, increase mindshare and continuously innovate to profit and survive. The only way to do this is to make the best use of an overwhelming quantity and variety of data – not an easy task with a limited supporting infrastructure and budget.
To accomplish these objectives, sales must partner with IT, demand-side platform providers and third-party service providers. They need a trusted analytics partner and adviser that will assist them with incorporating advanced analytics – including audience analytics solutions – and artificial intelligence in media. Analytics, enhanced with AI technologies, provides the insights needed for the most effective ad sales strategies to target the right customer microsegments that will turn data into revenue.
The challenge
Managing ad inventory
Running demand forecasts with less difficulty and the necessary level of accuracy to properly perform inventory valuation.
Pricing
Discerning the optimum baseline pricing to improve ad sales revenue.
Satisfying ad buyers
Gathering audience data from disparate sources and using it effectively to target ads to a specific audience and show quantifiable ROI.
Scale and capacity
Having the capabilities and bandwidth to grow while acquiring more data and expanding platform sales.
Leverage synthetic data to:
(mitigate bias; form a more complete data set for audience analytics; understand behaviors and preferences without infringing on audience privacy; improve accuracy of downstream predictive modeling for events; use predictive models to deliver personalized experiences)
Our approach
By aggregating all your data and applying advanced analytics, AI and machine learning capabilities, SAS software helps you:
Optimize ad inventory and improve forecasting
Use analytics for forecasting accuracy that helps inventory and pricing teams manage ads and drive revenue. Sales teams also benefit from real-time proposals.
Identify optimal pricing and increase revenue
Optimize pricing with real-time recommendations that consider a wide variety of factors for greater accuracy and revenue. Users of any skill level can learn this and more from the data.
Give ad buyers the targeting and ROI they expect
Assure ad buyers you will deliver the right ads to the right people at the right time and price. Identify and target specific audiences and microsegments using powerful predictive models. Trustworthy AI for media and machine learning maximize revenue and provide measurable ROI.
Achieve capacity, capabilities and possibilities – faster
Handle more requests, automate activities for increased speed and productivity, and improve customer satisfaction. Use audience analytics to uncover new revenue streams.
SAS difference
SAS can unify all your data in real time and at scale, regardless of source or vendor.
With SAS you can:
Use deep audience insights to enhance customer experience and deliver targeted ads
- Personalize new offerings and accelerate time to value using audience data.
- Monitor fairness and bias with AI technologies, using generative AI in media – synthetic data – to further reduce bias.
- Manage robust models with embedded AI for trustworthy governance.
Become more agile and make better decisions using real-time data
- Optimize pricing with automated rate cards and dynamic pricing recommendations.
- Close better deals faster – build real-time proposals by integrating capacity/avails inventory forecasts into your ad sales planning tool.
Create greater value for your business and your customers
- Significantly increase ad impressions and audience monetization on one end-to-end platform.
- Detect revenue changes and their causes, automate ad campaigns, and enhance turnaround time and productivity with natural language processing (NLP) and AI.
Easily develop and automate models and forecasts with low/no code analytics
- Increase productivity by using AutoML to create accurate forecast models by considering various factors that analyze cross-platform audience data and minimize risk by accounting for seasonality, past performance, channel, etc.
Integrate and manage any data
- Integrate data from any source, including social media, with prebuilt connectors for popular sites and third-party databases, ensuring robust analytic processing and governance.
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Optimize ad inventory with analytics for forecasting accuracy that helps inventory and pricing teams manage ads and drive revenue. Sales teams also benefit from real-time proposals.
-
Optimize pricing with real-time recommendations that consider a wide variety of factors for greater accuracy and revenue. Users of any skill level can learn this and more from the data.
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Assure ad buyers you will deliver the right ads to the right people at the right time and price. Trustworthy artificial intelligence in media and machine learning maximize revenue and provide measurable ROI.