01. Introduction
03. problematic
02. strategy
04. Results
05. Testimonial

Case Study

Predictive segmentation as a secret weapon for commercial dates

Understanding your customers is no longer an advantage. It's a necessity. With Data4Sales, Nacional Monte de Piedad was able to transform the complexity of its operation into a precise and profitable strategy, driven by real data and artificial intelligence.

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Introduction

Nacional Monte de Piedad has been in the Mexican market for more than 200 years, operating under the pawn model and selling unique products, especially in jewelry and luxury watches. Although it has a physical presence in most of the country, its online channel is only eight years old.

At events like the HOT SALE, where everyone wants to win, Alejandra Hernández Zavala -CommercialManager-had a clear goal: to use data to stop guessing and start deciding with precision. It was no longer about acquiring more customers, but about developing those who already have value.

Results

Campaigns

hyperpersonalized

Communication

via WhatsApp

Problem

Although they had information on their customers, the teamwas unable to effectively segment them. Eternal Excel lists and manual reports made it difficult to see buying patterns and design quick actions.

Moreover, they knew that not all of their base was profitable. They had to stop treating everyone the same and start answering a key question:

Which customers are really worth investing time and resources in?

Strategy

It all started with a triggering question:

Where does turnover really come from during dates like the HOT SALE?

Spoiler: as in many businesses, a large portion of new customers acquired at special events do not buy again. And that - in termsof profitability -is a problem.

So, instead of continuing to feed the base with one-time buyers, we worked with Alejandra to identify, segment and develop the customers who are really worthwhile.

We use artificial intelligence to classify your base into 7 strategic segments:

And we cross-reference them with their status in the life cycle:

With that, specific strategies were defined for each group. For example:

  • Champions were offered high-value products with personalized attention.
  • Those "can't lose" were targeted with proactive retention campaigns.
  • High LTV inactives were reactivated with Google Ads and Meta Ads.

All this analysis was combined with data such as average ticket, shipping method, category purchased and time of day of purchase. It was no longer about selling products, but about understanding who buys what, when and how.


"We no longer get lost in the information. A tool like Data4Sales helps us a lot to, in a simple and clear way, know what to do and how to act."
Alejandra Hernández Zavala | Commercial Manager

Results

This strategy transformed the product logic into a customer logic.


The focus is no longer on what you want to sell, but on who you can best sell to.

Nacional Monte de Piedad now uses tools such as:

  • Predictive segmentation with AI
  • Lifetime Value analysis as akey metric
  • Hyper-personalized WhatsApp campaigns
  • Recovery of carts according to customer status (a prospect is not the same as an inactive one with history)

For example, for high-value collectors, WhatsApp campaigns are sent with personalized video and the possibility of direct interaction. And when a customer abandons a cart,the strategy changes according to their history: some are offered a discount, others a complementary category.

Testimonial

With Data4Sales we can create a history. I can travel back in time and with the information I have, create strategies based on behaviors. For example, analyze last year's HOT SALE vs. this year's, understand which campaigns work, which customers we got back, which products were sold and what actions to take.

Alejandra Hernández Zavala
Commercial Manager at Nacional Monte de Piedad

Success stories

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