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Australian Marketers can Upgrade their Marketing with Pixis by their Side

AI

By Colin Campbell

Head of Content @ Pixis

Businesses have started leveraging the capabilities of AI to achieve higher levels of customization, optimization, and efficiency in marketing. However, despite evident advantages, many leaders across the globe are yet to fully realize the potential of AI-led marketing.

We found that organizations largely face 2 challenges when it comes to incorporating AI. The first challenge is the functional limitations of marketers and data professionals in speaking each other’s language. The second is a lack of a strong, coherent AI infrastructure to enable the seamless use of AI for every function of marketing.

The fusion of a data scientist’s skill with a marketer’s knowledge can open new doors for complete marketing optimization. This collaboration enables marketers to work at their peak efficiency by enabling AI-led operations.

Right from efficient targeting to top-of-the-range optimization – marketers have access to actionable insights in real-time enabling them to boost ROI across campaigns.

The fundamental factors that influence a marketing campaign are – targeting, and creative generation, performance & optimization management.

AI Infrastructure For Marketing

A highly optimized campaign needs an equally accurate target with an equally resonating creative to work its magic. If any one of them lags behind, the overall efficiency drops down resulting in poor campaign performance. Similarly, powering any one component with AI wouldn’t help in the long run. AI infrastructure is all about creating one station where all the 3 major components work together in tandem to provide the ultimate performance. Each AI transfers information and learns from the other’s performance to calibrate constantly. This ensures that all the components are only getting better every day, with every campaign.

At its very core, the infrastructure consists of the following:

  1. Performance Management AI
  2. Creative AI
  3. Consumer Research AI
  4. Performance Management AI