How Big Data Marketing is Revolutionizing Customer Personalization

Big data marketing is reshaping customer experiences for brands in today’s digital landscape. They can now analyze big data to create a highly personalized experience. This leads to higher engagement, conversions, and customer loyalty. One of the most effective levers in this new equation is VAIS (Valasys AI Score), an advanced AI-powered metric that measures customer behavior and engagement, enabling marketers to create pure-personalized campaigns. 

This post explains big data marketing and its role in customer personalization. Additionally, it covers how VAIS drives marketing strategy.

The Importance of Personalization in Big Data Marketing 

In today’s market, personalization is no longer a nice-to-have but an expectation.Customers are 80% more likely to purchase from retail brands that provide customized experiences. Big data marketing helps businesses by collecting, crunching, and analyzing vast gene sets. This is the best way to understand needs.

Here’s how Valasys AI Score leveraged Big Data Marketing to achieve hyper-personalization::

• Customer Segmentation: AI and Machine Learning will help business personnel segment their present/prospective audience by demographics, purchase history, browsing behavior, etc. VAIS uses this at its core to score, prioritize and segment ABM as per the chosen product category. 
• Predicting Customer Needs: They can predict customer needs and suggest products or services (you even know before he is going to search for them). With a weekly intent data of 4M+ surges, VAIS predicts needs, maps buyer journeys, and recommends follow-ups for accounts.
• Real-time Personalization: Dynamic content, customized emails, and featured ads will work based on real-time data insights. Using surging intent topics, users can tailor their ad and email content to increase relativity against each account. Furthermore, the delta measure of intent score shows which topics are fading and which are gaining traction. This helps users plan better and capitalize on trends before competitors.
• Traffic Optimization: Brands need to segment the customer journey and improve upon their marketing funnel holistically to optimize the customer journey. With a combined VAIS+Intent, you can identify where to focus your efforts and channel traffic accordingly.

Introducing VAIS: Valasys AI Score for Big Data Marketing 

VAIS is an intelligent system powered by superior AI. It measures and dissects customer engagement intent and conversion probability. By adding VAIS to big data marketing, companies can: 

• Behavior anticipation of the customer: VAIS assigns a score from the customer’s history to predict the next action. 
• Supercharge Lead Scoring: High-value leads are prioritized by the use of AI. 
• Optimized ad targeting: Provide hyper-personalized ads to the right users. 
• Refine Content Strategy: Different types of content that are more appealing across all audience segments. 

Converging big data, marketing insights and VAIS drives hyper-personalized campaigns for businesses to get more bang for the buck.

How VAIS Boosts Customer Segmentation

1. AI scoring for Super Segmentation – For decades, segmentation has mostly relied on demographics at a basic level. However, VAIS gives you further context by looking into user intent, engagement, and historical interaction. Marketers can carve micro-segments and provide the proper level of content.
   For example, in big data marketing and VAIS, brands can identify customers who browse products but do not buy. Consequently, they can offer discounts or retarget them with focused advertising.
2. Real-Time Analytics of Customer Engagement – VAIS allows real-time tracking of customer interactions so the business can identify hot leads and follow up right away. For a customer who frequently views an article, VAIS provides insights. These insights help you decide the next steps. 
3. Smart Content Personalization – Big data marketing powers Content Marketing which is the best of them all. This data can help marketers personalize content strategies for certain individuals. A popular example is an online education platform that suggests courses based on user visits or enrollment history. This helps provide a unique experience for each student.
4. Place-Based Product Recommendations – Amazon and companies like it use AI-driven big data marketing to suggest products as well as content. Beyond scoring customers with AI, VAIS allows businesses to serve hyper-relevance in real-time. 
5. Improved AI scoring for your email marketing – Yes, email is still one of the most effective forms of marketing, but it has always felt like the success story relies on personalization. VAIS shines brightest in optimizing email marketing by: 

• Open and click on behavior analysis.
• Recipient-wise AI scoring.
• Customer-based targeted email sending. 

Let’s take a SaaS company as an example. We can use VAIS to compare user engagement with free trials. This helps build tailored email sequences that address pain points.

Future of Big Data Marketing with VAIS 

Big data marketing is evolving, transforming customer personalization with AI-driven scoring systems like VAIS. With advanced AI, companies gain deeper insights into customer behavior. This enables hyper-personalized marketing on an unprecedented scale.

What’s Next? 

• Voice Search and AI Assistants: How to capitalize on natural language interactions using voice-based AI to deliver a user experience through tailored inputs. 
• Emotional AI: Recognizing facial expressions and tone to offer increasingly custom content. 
• Introduction to Chatbots powered by VAIS Auto: AI chatbots are here to automate instant personalized responses to users’ AI scores. 

Conclusion 

Personalization isn’t the only way brands can retain customers in today’s competitive market. Big data, marketing, and brand AI insights, like VAIS, enable user-personalized experiences.

These insights also take volume-driven performance into account.

Through big data marketing and VAIS, companies move beyond traditional marketing. They deliver hyper-relevant content and personalized offers based on customer needs. Marketing’s future will focus on data-driven personalization. Brands that embrace this shift will thrive in the digital age.