Customers Expect AI Agents
To Be Insightful
Customer analytics solutions must evolve to deliver real-time insights to AI Agents
Customer Analytics Solutions Built for The AI Era
Customer analytics has existed for years. Now, it needs to evolve to support AI. Customer-facing AI agents need real-time insights. Customer analytics solutions needs to evolve from analyzing segments of customers to producing insights for individual customers.
Q Spark Group are experts in customer analytics. Our leaders have 25 years of experience in customer analytics, as well as customer data management. We know how to transition from analyzing large volumes of customers in batch to analyzing individual customers in real-time.
How AI Can Improve Marketing Attribution Analytics
Customer Analytics Solutions
Q Spark Group's Pre-built Service Offerings

Customer Experience Analytics
Customer experience has never been more important. Customers have many choices, are more cost-conscious, and are willing to switch brands readily. Only first-class customer experiences can help you retain customers.
Many organizations believe AI to improve customer experience. It can. However, it also has the potential to damage customer experience when it’s done wrong. AI needs a foundation to be successful. Customer analytics provides insights on individual customers – their preferences, relationships, contact frequency and methods, and needs. Those are the building blocks for AI agents to offer personalized experiences.
Q Spark Group’s Customer Analytics solutions deliver data, insights, and actions to improve your customer experience.
Customer Segmentation
How many ways do you have to segment your customers? Which one is the right one for each AI agent? Understanding which segments your customer’s belong to, and the context for why they belong in multiple segments, is foundational for all customer analytics.
Customer-facing AI requires micro-segmentation to drive personalization and improved CX. Existing segmentation algorithms need to be improved with robust data and modern analytic techniques. Context for each segment needs to be described and easily understood.
Q Spark Group’s Customer Analytics Solutions are based on modern, advanced segmentation. We can leverage and improve your existing segmentation analytics to give you a proper foundation for customer insights.


Customer Journey Analytics
Understanding journey patterns for each customer is the key to predicting future actions. One challenge is that journey patterns are often understood for one channel only, such as a website. But customer’s interact across all channels. And customer groups (households, families) may all participate in one journey.
Journeys occur across multiple individuals and across all channels. A person can be a customer for one of your products, and a prospect for another. When they are looking at your website, is it in the context of being a customer or prospect? You need to know in order to understand that journey.
Q Spark Group have extensive experience in customer journey analytics. Our DNA approach ensures a solid data foundation is in place to understand customers and context properly.
Customer Behavior Analytics
It isn’t easy to predict customer behavior. But it is necessary in order to have market-leading customer experiences. Do you want to react to your customers or anticipate their needs?
Past behavior patterns must be well understood to make accurate predictions. Understanding all customer behaviors, and the context of those behaviors, is essential. Advanced analytic algorithms that leverage AI will identify individual behavior patterns and accurately anticipate future behaviors.
Q Spark Group have deep expertise in customer behavior. We can help put your data in context and evolve your behavior analytics to anticipate individual customer’s needs.


Next Best Action
It is crucial that customer-facing AI agents know what action they should take. This requires them to understand customer data, experiences, segments, journeys, behavior, and put it all together into a prescriptive action. This is the differentiator between effective AI and bad customer experiences.
Next best action integrates customer data and analytic insights for journeys, experiences and behaviors and prescribes multiple potential next best actions. More important, it prescribes the context for which each of those actions is most relevant.
Q Spark Group are leaders in prescriptive customer analytics. We have deep experience in combining data and analytics to prescribe actions. We also understand confidence thresholds – when to act and when not to act – and apply those to NBA.
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Customer DNA

You have to go beyond data and beyond traditional analytics to truly understand your customers. You have to know their DNA – Data, aNalytics and AI.
Customer analytics and reports are fragmented. Siloed insights equal disconnected actions. Advanced analytics solutions must be modular. Customer insights need to feed and produce more customer insights.
Customer DNA is delivered by multiple technologies. It requires a solution.
Q Spark Group are experts in customer analytics solutions. We can modernize your Customer analytics strategy and understand customers down to their DNA.
Are Your Customer Insights Fragmented?
Our Clients Benefit from Customer Analytics
Global Technology Firm

We implemented advanced analytics solutions for forecasting, pipeline analytics, and multi-touch attribution that improved marketing decisioning.
US Insurance Company

We drove their centralized advanced analytics and data science program with a unified customer 360 for analytics.
Luxury Hotel Chain

We implemented modern data governance, catalog and reference master data technologies to delivery trusted data for finance analysts.
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Tips, Tricks and Best Practices on Evolving Your Customer Analytics Program

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