The context

Undergold is a brand created by designers passionate about the world of fashion, inspired by Streetwear and Luxury Lifestyle.

It was born in Medellin in 2016, with the aim of reaching those people looking for authentic designs that go beyond fashion, always prioritizing quality and differentiation.

They stand out for developing collections in which they align their essence with international trends in urban fashion and haute couture houses.

Thanks to this identity, recognized personalities such as Nicky Jam, Karol G and Manuel Turizo, find in the brand a unique proposal within the national and international market.

The brand started with only a physical store, WhatsApp sales, Instagram profile and website.

Being a venture the investment of the company must be managed as efficiently as possible. Before thinking about expansion through physical outlets, they had to make the digital channel more powerful. Through advertising they managed to create a significant national recognition and reach, which allowed them to grow in the digital channel, achieving a weight in sales of 33.42%.

The challenge
From growth, Undergold needed:
Segment your customers in a personalized way.
Understand how each segment behaves to detect opportunities in real time.
Execute concrete actions based on the armed segments that generate economic impacts.
Know where customers are in their life cycle.
Plan strategies according to the opportunities evidenced by purchasing habits.
To have a platform that unifies all data and needs in one place so as not to waste time when generating reports.
Unite branding efforts among the different teams to generate cost-effective and efficient guidelines.
Understanding the repurchase rate .
The strategy
In August 2022, Data4Sales started working in partnership with Undergold and Vieli Digital Agency.
Sara Bermúdez Correa, Marketing Director of Undergold.
María Del Mar Quiceno, in charge of eCommerce and Social Media.
Sara Florez Betancur, Digital Advertising Coordinator

In each customer success session we analyzed together the data (coming from our tool) and the opportunities we found in them. These meetings were key to planning a strategy.

What pains do we perceive in the campaigns in Meta?
High cost of custom audiences on conversion targets for remarketing, especially when shoppers are excluded.
Inaccuracy in measuring the profitability of remarketing audiences in Meta Ads and Shopify.
Limitation to segment buyers according to their buying habits, Meta Ads allows remarketing to people who have generated some action on the web in the last 180 days.
The solution

During the process, we detected an opportunity to implement personalized audiences in Meta Ads campaigns.

In Data4Sales, the "rules engine" feature allows you to visualize in detail the characteristics of a group of buyers and then develop a personalized communication strategy based on that audience.

With Undergold, we decided to delve deeper into audiences with the following buying behaviors:
Average ticket
Frequency of purchase
Geolocation with a focus on offering a proposal aligned to the area where they live.
Accumulated amount (amount spent so far by each customer)
Products and categories
Use of discount coupon
Date of last purchase

Once the audiences have been taken to Meta Ads, we launch the personalized campaigns and in Data4Sales, we configure the Marketing Actions.

This function allows us to visualize and understand the people who bought or did not buy in the campaign time window, and then re-create audiences before the end of the commercial action, with those people who did not generate conversions.

"Custom audiences in addition to lowering campaign costs, helped generate more revenue on final sales, as they allow us to exclude buyers without driving up the cost of the campaigns. On Shopify, when performing shopper audience exclusion, the checkout initiation cost could increase by up to 40%."
Sara Flórez Betancur
Digital Advertising Coordinator at Vieli
The results
Actual measurement of revenues generated through the actions carried out in advertising using customized audiences. Given that data protection policies in third party data prevent us from accurately measuring the revenue generated through campaigns.
Possibility of creating specific marketing strategies based on customer buying habits. For example, with the creation of audiences of "one timers" or "inactive" to impact them in a segmented way in Meta Ads.
Generate similar audiences (similar to those who already buy) of higher quality by having databases of recurring buyers.
Actual measurement of revenues generated through the actions carried out in advertising using customized audiences. Given that data protection policies in third party data prevent us from accurately measuring the revenue generated through campaigns.
Possibility of creating specific marketing strategies based on customer buying habits. For example, with the creation of audiences of "one timers" or "inactive" to impact them in a segmented way in Meta Ads.
Generate similar audiences (similar to those who already buy) of higher quality by having databases of recurring buyers.
"Data4Sales has allowed us as a brand to have a complete view of our buyer. While the results in cost and advertising effectiveness have been very representative, the platform has given us much more than that. Today we have a better understanding of our customers, we can segment them and understand their buying behavior in real time. From this, we measure and evaluate ourselves constantly with meaningful indicators for the brand that allow us to take actions and decisions that truly generate an impact on sales".
Sara Bermúdez Correa
Director of Marketing and Sales at Undergold