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    • Why Customer Data? iconWhy Customer Data?Use our tools and frameworks to help your team overcome customer data challenges
    • ML Pipelines iconML PipelinesCortex's robust toolset helps automate every step of the Machine Learning Pipeline
    • Real-Time Decisioning iconReal-Time DecisioningCombine your batch and real-time data for machine learning decisioning
    • mParticle + Vidora iconmParticle + VidoraUncover new ways to leverage your customer data
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Cortex for Outbound Marketing Decisioning

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"Machine learning is a key component of how we create the best value for customers. Cortex allows us to quickly build accurate machine learning experiences to serve customers better."
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Roman Kalantari

Chief Technology Officer at Nutrafol

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"… our business moves fast and we needed to make the technology available quickly across our teams. With Cortex, our team is able to build ML into our products in a matter of minutes, as opposed to months."
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Simon Smith

Chief Data Officer at News Corp

Increase Outbound Marketing Revenues by up to 400% using Machine Learning Decisioning

Outbound marketing campaigns are a critical aspect of keeping users engaged with your brand. Cortex provides machine learning decisioning to power next-best-action and next-best-offer experiences to ensure you are optimally engaging with users throughout their lifecycle. We’ve seen businesses increase revenues by 400% using machine learning decisioning.

Read Case Study

Next-Best-Action and Next-Best-Offer

Properly guiding customers through their user journey is important. Machine learning for next-best-action techniques enables your user journey to adapt uniquely to each user and changing market conditions.

Watch the video

Launch Quickly with Existing Integrations

It’s important to see value quickly. Cortex is integrated with common data storage platforms in addition to marketing platforms to facilitate businesses quickly driving value from machine learning decisioning.

Learn more about our existing integrations here

Learn More About Using Machine Learning Decisioning for Outbound Marketing

  • Case Study – Increasing Email Commerce Revenue by 400%
  • Case Study – Reducing User Churn by 5.5% with Email Campaigns
  • Towards Data Science Article – “Why Every Marketer Should Consider Uplift Modeling”

The Largest Global Brands Trust Vidora

More Use Cases for Real-Time Decisioning

Onsite Decisioning

Increase user conversions across paywalls, registration walls, and user journeys.

Advanced Segmentation

Build segments using prescriptive models and down-stream funnel optimization.

Onsite Personalization

Personalize onsite experiences using recommendations, similars, and trending.

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