How STIENDA (Samsung Uruguay) Turned Automation into Revenue

As an electronics retailer, they faced a common challenge: relying on one-off campaigns to stay afloat. However, they decided to start implementing automations that changed the game.

TechnologyUruguaySamsung Uruguay

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June 2026$394,600attributed to 54 automated trades

What We Achieved

+116%New customers

+130%Recovered customers

+134%Buyback vs. May

Introduction

Sustaining the impact beyond one-time events

STIENDA is Samsung's official store in Uruguay. As an electronics retailer, it relies on special promotions: Cyber Monday, Black Friday, and product launches.

Between events, the customer base falls dormant. Customers who used to buy stop coming back. Revenue drops to zero.

The problem is real: without automation, revenue comes to a halt. In 2026, they found this out the hard way.

A Calendar of PeaksElectronics Retail

Cyber MondaySales PeakBlack FridaySales PeakNew Releases: Sales PeakBetween Events: The Base Goes to Sleep

Customers who used to shop here disappear between one date and the next.

The Experiment

What happens when they turn the automation system off and on?

Between March and May 2026, STIENDA shifted its focus away from automation. Revenue attributed to Data4Sales fell from USD 445.9K in March to USD 32.2K in May—a decline of -93%.

It was accidental. But revealing.

With Cyber Monday as the focus (May and June), automation kicked into high gear again. The result was staggering: +1,126% growth in one month.

Revenue attributed to Data4SalesUSD · 2026

445.9K

32.2K

394.6K

MarchMay
Automation on HoldJune
Automation On

+1.126%growth in one month, upon reactivating automated flows.

Strategy

No one-off campaigns. Consistent flows.

In June, we ran 54 automated campaigns focused on Cyber Monday, which generated USD 394.6K.

Reactivate dormant customers

Those who stopped buying now have a reason to do so again.

Remind the person who abandoned their shopping cart

The message arrives while the intention to buy is still fresh.

Offer a complementary product

For those who have already made a purchase, here's the perfect complement to your purchase.

Filter by category

Samsung Galaxy, home appliances, accessories.

Perfect timing

Before, during, and after the event.

Results for a single month

25%

of June's total revenue: USD 394.6K attributed. In other words, 1 out of every 4 orders in June came from automation.

Results

New customers, repeat customers, and customers who didn't leave

+116%

New Customers

Compared to the previous month's average, June attracted 116% more new customers. This isn't paid traffic—it's automation that identifies prospects and converts them.

+134%

repurchase

Compared to May, repeat purchases rose 134%. Customers who had made a purchase once returned: automation reminded them and offered them something relevant at just the right time.

+130%

Recovered customers

Of the customers labeled as “at risk of churn,” STIENDA retained 130% more in June than in May. People who were about to leave came back.

The Secret

Automation isn't "set it and forget it"

This isn't about sending a generic email to the entire database. STIENDA's 54 actions were:

Segmented

Each action was aimed at a specific segment

Buyers of Galaxy devices, home appliances, etc. With different timing: those who bought 7 days ago receive a different message than those who bought 30 days ago.

Constants

Not just on Cyber Monday, but for 6 months in a row

Dormant customers were constantly being reactivated. The customer base did not shrink between events: it grew by 28.5% in the first half of the year.

Measurements

We do not “believe that automation helped”

Data4Sales calculated the exact figure: 20.8% of June's orders came from these 54 stocks. Attributed revenue: USD 394.6K. Clear-cut.

The Final Issue

28%

STIENDA's revenue in the first half of 2026 came from automation. In June alone, it accounted for 25%. If we extrapolate that to a full year, automation would account for nearly 1 out of every 3 dollars STIENDA sells.

All without a human having to run 54 campaigns manually each month. No Excel, no delays, no errors: models that understand the customer, predict what they’ll buy, and send a personalized message at exactly the right moment.

Success stories