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FESPA NEWS Mark Coudray

Identifying Hidden Patterns in Customer Data

One of the most significant advantages of using AI in specialty graphics is its ability to analyze customer data to identify
trends and patterns not immediately visible. For example, customer sales activity over the years might initially appear as

random fluctuations. However, by applying AI algorithms, businesses can uncover patterns that indicate customer retention

rates, churn or attrition rates, and growth metrics.

It can also be used with a high degree of accuracy to predict how customer sales ebb and grow year-over-year. It’s very

hard to recognize this unless you compare the patterns of many customers over time.

✓ Customer Retention and Churn

AI can analyze historical sales data to identify which customers are likely to remain loyal and which are at risk of
churning. By understanding these patterns, businesses can implement targeted retention strategies to reduce churn

and improve customer loyalty.

✓ Customer Growth Year-over-Year

AI can help businesses track customer growth trends year-over-year, identifying which segments are growing and

which are declining. This information can guide marketing and sales strategies to focus on high-growth areas. This has

a dramatic impact on profitability and the Customer Acquisition Cost (CAC.)

✓ Lifetime Customer Value (LCV)

AI can calculate the lifetime value of customers over time, providing insights into the long-term profitability of different
customer segments. This information can be used to tailor marketing efforts and product offerings to maximize LCV.

The insights gained from this analysis are very helpful in determining how the Lifetime Customer Value growth varies by
year. It is not a uniform growth and there are highly predictable null or value loss occurring in certain years.

September 2024 • 49