From Guesswork to Precision: How AI Twins and Agentic AI are Disrupting Martech
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Avadhoot Revankar
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From Guesswork to Precision: How AI Twins and Agentic AI are Disrupting Martech

Published : November 28, 2024

As the marketing landscape evolves, keeping up with customers’ changing preferences has never been more vital or challenging. Traditional methods—like A/B testing and intuition—often fall short in providing the precision and speed required to deliver personalized experiences at scale.

Enter AI Twins which are digital replicas of your customer segments that represent specific customer segments, from loyal patrons to new and churned users. You can interact with these AI twins and find out what your customers will want, how they’ll respond, and what will convert – even before you launch!

What makes the responses from these AI twins even more accurate and powerful is that they are built using 0 and 1st part data of the specific brand and 3rd party data at a segment level from Meta and Google.

Let’s take an example of an e-commerce brand and how you as a marketer can converse with the AI twins to ensure you send out a personalized product, offer, and content on the right channel to achieve maximum conversions.

Imagine having AI twins, such as “Aisha” representing the segment of loyal customers, and “Jay” for those who have churned.

Chatting with Aisha, a loyal AI Twin for an eco-conscious skincare brand, might reveal a strong preference for natural products, such as a Green Tea Face Wash, while recommending a “Curly Hair Care Kit” to appeal to her specific needs. In this way, AI Twins bring brands closer to understanding what customers love, need, and will respond to.

This now becomes a strong input for the marketer/brand to incorporate these changes in the campaign that they are planning to send to Loyal customers.

Similarly, chatting with Jay, the AI Twin of churned customers reveals what kind of offers or discounts will get them back along with channel preference, basis the app they use most often.

As marketers, it’s not scalable to manually engage with the AI Twins of every customer segment. This is where Agentic AI steps in as a game-changer.

Instead of the marketer talking to the AI twins other AI agents like the Netcore Co-marketer which does multiple functions like generating content, offers, and products will directly interact with the AI twins to generate personalized campaigns and deliver them to the real users autonomously.

For example, let’s revisit Jay, the AI Twin representing churned customers. Suppose Jay signals a strong preference for receiving a WhatsApp message with a specific offer—“Upgrade your old cricket gear at a discounted price”—over other promotional ideas. In this case:

  • The Content Generation Agent crafts multiple WhatsApp messages tailored to the offer and one that the AI twin Jay shows the highest probability of clicking will be used in the real campaign.
  • The Offer Generation Agent fine-tunes the discount and trade-in details based on Jay’s preferences and purchasing habits.
  • The Co-Marketer takes the reins, autonomously deploying the WhatsApp campaign with the exact offer Jay showed interest to the entire segment of churned users.

By ensuring campaigns align precisely with customer expectations, this seamless process maximizes conversions. Instead of broad, generic outreach, Agentic AI enables hyper-personalized marketing with unmatched efficiency, targeting the right channel, message, and offer every time.

Transformative advantages of Agentic AI in Marketing using AI twins

1. Enhanced Customer Understanding: By interacting directly with AI Twins, marketers gain precise insights into customer likes, dislikes, and needs. This enables campaigns tailored to actual customer desires, moving beyond broad assumptions to laser-focused strategies.

2. Efficient Testing and Optimization: With AI Twins, marketers can test ideas virtually and refine strategies before launching them to a live audience. This approach saves time and resources by replacing traditional A/B testing.

3. Increased Conversion Rates: Knowing what drives each customer segment—whether it’s loyalty perks, bundled offers, or exclusive discounts—helps brands craft campaigns with a high likelihood of success. AI Twins minimize guesswork, making marketing efforts more effective from the outset.

4. Scalability and Real-Time Adjustments: Agentic AI enables dynamic, real-time adjustments based on data from AI Twins, making it easy to scale marketing efforts across regions or customer segments without missing a beat.

The Future of Marketing with Agentic AI

The potential for Agentic AI using AI Twins is only beginning to unfold. By automating the collection of insights, campaign execution, and optimization, these technologies empower marketers to meet and exceed customer expectations. As Agentic AI continues to evolve, we can anticipate even more sophisticated applications, including fully autonomous campaign management, allowing marketers to shift their focus toward strategic innovation and creativity.

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Written By: Avadhoot Revankar
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Reviewed By: Rengarajan Muralidharan
Avatar photo Rengarajan Muralidharan
Rengarajan is a dynamic product marketer know for strategic prowess and creative flair. With analytical insights and innovative strategies, he drives product adoption and revenue growth.