what AI looks like with a CDP

Let's jump on the Artificial Intelligence bandwagon...what AI looks like with a CDP

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March 7, 2023

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I've been orating and writing about AI transformation since my first book came out in 2019. In the chapter about AI transformation, there is an introduction to an AI adoption model.

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As we enter the era of customer-centric marketing, businesses must adapt to the rapidly changing landscape and embrace new approaches to engage their customers. My upcoming book 'Vanity' highlights four new Ps of marketing, with a focus on being 'Predictive in Nature.' This innovative concept emphasizes the integration of predictive analytics into marketing strategies to enhance customer experiences and drive success.

So, yes. Predictive is Artificial Intelligence if you like also to jump the hype of the decade...

The new P in marketing can compromise the P in various forms, including prognostic, prophetic, prescient, projective, prefigurative, previsionary, pre-emptive, prospect-based, premonitory, and prelusive.

The key is incorporating predictive analytics into Customer Data Platforms (CDPs) and leveraging this gold mine of insights to create unparalleled customer experiences.

Transforming Customer Experience with Predictive Analytics in CDPs

To excel in customer experience, businesses must focus on CDPs with advanced predictive capabilities. Here are some ways predictive analytics can enhance customer experiences:

  1. Personalization: Personalization is the cornerstone of exceptional customer experiences. By utilizing predictive analytics, businesses can analyze past behaviours and preferences to tailor marketing campaigns, product recommendations, and content to meet individual customer needs. This leads to higher engagement, satisfaction, and conversion rates.
  2. Proactive Customer Support: Predictive analytics enables businesses to anticipate customer issues and provide proactive solutions. By analyzing customer data and identifying patterns, companies can address potential problems before they escalate, improving customer satisfaction and loyalty.
  3. Optimized Customer Journeys: By harnessing the power of predictive analytics, CDPs can adapt to real-time customer data and behaviours to personalize customer journeys. This results in more relevant and engaging experiences, leading to increased conversion rates and customer satisfaction.
  4. Timely and Relevant Communication: Predictive analytics helps businesses identify the most effective marketing channels and the optimal time to engage with customers. This ensures that marketing messages are delivered through the right channels and at the right time, enhancing customer experiences and driving better results.
  5. Anticipating Customer Needs: By leveraging predictive analytics, businesses can anticipate customer needs and desires, offering products and services that align with their expectations. This increases customer satisfaction and helps businesses stay ahead of the competition.

You can download a list of about 25 use cases, and the AI technique that is used for that use case is in the Objective column. When you talk to CDP vendors, make sure to challenge them on that - and do not only take satisfaction with whatever 'out of the box' AI capabilities they show off.

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AI CDP transformation playbook

Remember, this is where the real pot of gold is, and it's just behind the horizon of that fancy UI the vendor will show you during their sparkling demos.

Make sure to challenge your CDP vendor that they go above and beyond on this topic - because in 3 year time, it will mean a world's difference to your bottom line.

The Future of Customer Experience with Predictive CDPs

As customer experience becomes the new battleground for businesses, investing in CDPs with predictive capabilities is crucial. By integrating prognostic, prophetic, prescient, projective, prefigurative, previsionary, pre-emptive, prospect-based, premonitory, and prelusive insights, businesses can create truly personalized and engaging experiences for their customers.

Predictive analytics and machine learning are revolutionizing customer experiences, and businesses that embrace these technologies will thrive in the new era of customer-centric engagements.