---
title: How Lounge Underwear Built Data Infrastructure for 9 Shopify Stores
description: Find out how Lounge Underwear started using Dataddo to get their Sales, Marketing, and Customer data to their data warehouse and dashboard.
image: https://blog.dataddo.com/hubfs/Blog/Case%20Studies/cs-lounge-min.png
---

[![Dataddo Blog](https://blog.dataddo.com/hs-fs/hubfs/blog-logo.png?width=180&name=blog-logo.png)](https://blog.dataddo.com)

**

[Get Dataddo Free](https://www.dataddo.com/signup?hsLang=en)

[![Start for Free](https://no-cache.hubspot.com/cta/default/7885580/42e092dc-d403-4ac3-bd34-06dc490bf6d9.png)](https://cta-redirect.hubspot.com/cta/redirect/7885580/42e092dc-d403-4ac3-bd34-06dc490bf6d9)

# How Lounge Underwear Built Data Infrastructure for 9 Shopify Stores

By Melanie Rankin | 4 min read

![](https://blog.dataddo.com/hubfs/Blog/Case%20Studies/cs-lounge-min.png)

- **
- **
- **

[Lounge Underwear](https://loungeunderwear.com), recently named as the [UK’s Fastest Growing Fashion Brand](https://www.drapersonline.com/news/uks-fastest-growing-private-fashion-firms-revealed), is an online retailer whose mission focuses on comfort, female empowerment, and sustainability. From their ground-breaking [Breast Cancer Awareness campaign](https://loungeunderwear.com/pages/feelyourbreast), continued passion for diversity, sustainable collections, and carbon offsetting projects, Lounge is dedicated to being the company that cares - about Mother Nature and breaking down traditional beauty standards.

Lounge was originally founded in 2015 but experienced its highest growth during the  
pandemic, exceeding all expectations. Due to the enormous growth, it became apparent that their existing Data Analytics systems were not serving their needs to understand their customers and make more informed decisions. That’s when the decision was made to focus on building a data infrastructure to help drive their already-astronomical growth to new heights.

## The Challenge: 9 Countries, 9 Stores, Overwhelming Data Sets

Though [sales data from Shopify](https://www.dataddo.com/connector/shopify?hsLang=en) stores represented the bulk of their data, Lounge was also working with a plethora of Social media, Marketing, Financial, and Customer behavior data to be put to use from different platforms. The best way to make effective use of this data was by blending all entities together and making them easier to digest for every end-user of the reports.

When a dedicated Business Analytics manager was brought onto the Lounge team, they knew that building an efficient data pipeline without a fast and reliable [data integration platform](https://dataddo.com/) wouldn’t be possible. They chose Dataddo as a fast and efficient integration tool with a wide variety of data sources, ease of use, and much-needed flexibility in data operations that were sure to change and develop over the course of the next several months.

## The Solution: A Source for Every Data Point

After getting their cloud services and their data warehouse all set up, the task fell to integrating data from a pool of sources which extended beyond [Shopify](https://www.dataddo.com/connector/shopify?hsLang=en) including [Facebook](https://www.dataddo.com/connector/facebook-ads?hsLang=en), [Instagram](https://www.dataddo.com/connector/instagram-ads?hsLang=en), [LinkedIn](https://www.dataddo.com/connector/linkedin-ads/?hsLang=en), [Zendesk](https://www.dataddo.com/connector/zendesk/?hsLang=en), [Rebound Returns](https://www.dataddo.com/connector/rebound-returns/?hsLang=en), [Xero](https://www.dataddo.com/connector/xero/?hsLang=en), and more.

But Shopify proved to be an unexpectedly difficult task all by itself, due in part to API limitations and the size of the data. - not only were the data divided into separate stores, but each store was also divided by each data type, all of which had to be extracted individually.

Though the task was painstaking, Lounge’s team had Dataddo’s full support and consultation throughout the entire process, eventually assisting them to get all of their sources up and running.

> ![Jenny Malai](https://blog.dataddo.com/hs-fs/hubfs/Jenny%20Malai.png?width=165&name=Jenny%20Malai.png)The communication is brilliant - it’s one of the key reasons we are working together. Anytime we needed support it has always been there.
> 
> -Jenny Malai, Business Analytics Manager at Lounge Underwear

Dataddo collects Lounge’s data from each source before sending it across to their data warehouse, [Snowflake](https://dataddo.com/storage/snowflake), overnight. This data is then integrated from the data warehouse to their [PowerBI data visualization platform](https://www.dataddo.com/app/powerbi/?hsLang=en). The end result: [stable pipelines](https://blog.dataddo.com/dataddo-for-data-quality-a-message-from-our-cto?hsLang=en), safe storage, and the visualizations they need to make data-driven decisions.

## The Result: Transparent Analyses, Informed Workflows

The dashboards currently in use at Lounge have proven extremely versatile and time-saving across different departments at the company. Departments that might not usually incorporate data into their everyday work lives have more insights than ever into their operations. With data now available in categories like ticket performance, refunds, and product feedback, they have a clear view of what is and isn’t working and can make informed adjustments in their day-to-day workflows.

Marketing now has a complete view of Lounge’s worldwide presence to judge campaign and social media effectiveness, where Management has access to overall sales, product performance and customer growth across all stores.

## Moving Forward With Dataddo

As their data systems continue to grow, the next step for Lounge is to continue diving as deeply as possible into their customer insights to understand better how they can improve their customer experience. For the near future, they are looking into the possibility of adding a data science tool to the pipeline between their data warehouse and data visualization tool for faster, more efficient data blending and analysis.

Dataddo will continue running automatically in the background, delivering information to Lounge’s data warehouse so they can keep “Making Comfort Sexy” - but now, with data.

To see for yourself how simple it is to integrate your Shopify data with Dataddo, sign up for a free trial below, then read our [step-by-step guide on how to connect your Shopify data to any BI tool or data warehouse](https://blog.dataddo.com/how-to-combine-analytics-from-multiple-shopify-stores-and-third-party-services?hsLang=en).

|   **See how Dataddo can help your business** Just a few quick steps to get your data to your dashboard for better analysis, without the hassle. [![Start for Free](https://no-cache.hubspot.com/cta/default/7885580/7ed5acf0-8674-4253-bada-90465ddc6f8a.png)](https://cta-redirect.hubspot.com/cta/redirect/7885580/7ed5acf0-8674-4253-bada-90465ddc6f8a) |
| --- |

 Category: [Case Studies](https://blog.dataddo.com/tag/case-studies), [facebook](https://blog.dataddo.com/tag/facebook), [instagram](https://blog.dataddo.com/tag/instagram), [zendesk](https://blog.dataddo.com/tag/zendesk), [rebound](https://blog.dataddo.com/tag/rebound), [power_bi](https://blog.dataddo.com/tag/power_bi), [xero](https://blog.dataddo.com/tag/xero), [shopify](https://blog.dataddo.com/tag/shopify), [facebook_post](https://blog.dataddo.com/tag/facebook_post), [facebook_page](https://blog.dataddo.com/tag/facebook_page), [facebook_ads](https://blog.dataddo.com/tag/facebook_ads), [instagram_ads](https://blog.dataddo.com/tag/instagram_ads), [Data Anywhere](https://blog.dataddo.com/tag/data-anywhere)

### Related Articles**

<https://blog.dataddo.com/how-publicis-groupe-brasil-uses-dataddos-api-to-scale-a-data-product?hsLang=en>

## [How Publicis Groupe Brasil Uses Dataddo’s API to Scale a Data Product](https://blog.dataddo.com/how-publicis-groupe-brasil-uses-dataddos-api-to-scale-a-data-product?hsLang=en)

*(4 min read )*

 Topics: [Case Studies](https://blog.dataddo.com/tag/case-studies), [facebook](https://blog.dataddo.com/tag/facebook), [instagram](https://blog.dataddo.com/tag/instagram), [zendesk](https://blog.dataddo.com/tag/zendesk), [rebound](https://blog.dataddo.com/tag/rebound), [power_bi](https://blog.dataddo.com/tag/power_bi), [xero](https://blog.dataddo.com/tag/xero), [shopify](https://blog.dataddo.com/tag/shopify), [facebook_post](https://blog.dataddo.com/tag/facebook_post), [facebook_page](https://blog.dataddo.com/tag/facebook_page), [facebook_ads](https://blog.dataddo.com/tag/facebook_ads), [instagram_ads](https://blog.dataddo.com/tag/instagram_ads), [Data Anywhere](https://blog.dataddo.com/tag/data-anywhere)

<https://blog.dataddo.com/how-ringside.ai-builds-a-data-product-better-and-faster-using-dataddo?hsLang=en>

## [How Ringside.ai Builds a Data Product Better and Faster Using Dataddo](https://blog.dataddo.com/how-ringside.ai-builds-a-data-product-better-and-faster-using-dataddo?hsLang=en)

*(4 min read )*

 Topics: [Case Studies](https://blog.dataddo.com/tag/case-studies), [facebook](https://blog.dataddo.com/tag/facebook), [instagram](https://blog.dataddo.com/tag/instagram), [zendesk](https://blog.dataddo.com/tag/zendesk), [rebound](https://blog.dataddo.com/tag/rebound), [power_bi](https://blog.dataddo.com/tag/power_bi), [xero](https://blog.dataddo.com/tag/xero), [shopify](https://blog.dataddo.com/tag/shopify), [facebook_post](https://blog.dataddo.com/tag/facebook_post), [facebook_page](https://blog.dataddo.com/tag/facebook_page), [facebook_ads](https://blog.dataddo.com/tag/facebook_ads), [instagram_ads](https://blog.dataddo.com/tag/instagram_ads), [Data Anywhere](https://blog.dataddo.com/tag/data-anywhere)

<https://blog.dataddo.com/data-integration-software-in-practice-dataddo-use-cases-and-outcomes?hsLang=en>

## [Data Integration Software in Practice: Dataddo Use Cases and Outcomes](https://blog.dataddo.com/data-integration-software-in-practice-dataddo-use-cases-and-outcomes?hsLang=en)

*(4 min read )*

 Topics: [Case Studies](https://blog.dataddo.com/tag/case-studies), [facebook](https://blog.dataddo.com/tag/facebook), [instagram](https://blog.dataddo.com/tag/instagram), [zendesk](https://blog.dataddo.com/tag/zendesk), [rebound](https://blog.dataddo.com/tag/rebound), [power_bi](https://blog.dataddo.com/tag/power_bi), [xero](https://blog.dataddo.com/tag/xero), [shopify](https://blog.dataddo.com/tag/shopify), [facebook_post](https://blog.dataddo.com/tag/facebook_post), [facebook_page](https://blog.dataddo.com/tag/facebook_page), [facebook_ads](https://blog.dataddo.com/tag/facebook_ads), [instagram_ads](https://blog.dataddo.com/tag/instagram_ads), [Data Anywhere](https://blog.dataddo.com/tag/data-anywhere)

### Subscribe to The Chronicles of Marketing Newsletter

## Comments

## Subscribe to Our Blog

Stay up to date with the latest marketing, sales, and service tips and news.

![subscribe](https://blog.dataddo.com/hubfs/Illustrations/subscribe.svg)

- [****](https://www.linkedin.com/company/dataddo)

- ©  Dataddo, Inc. All Rights Reserved

```json
{
  "@context" : "https://schema.org",
  "@type" : "BlogPosting",
  "author" : {
    "@type" : "Person",
    "name" : "Melanie Rankin",
    "url" : "https://blog.dataddo.com/author/melanie-rankin"
  },
  "dateModified" : "2024-05-31T08:52:54.112Z",
  "datePublished" : "2021-09-24T08:27:12.000Z",
  "headline" : "How Lounge Underwear Built Data Infrastructure for 9 Shopify Stores",
  "image" : [ "https://blog.dataddo.com/hubfs/Blog/Case%20Studies/cs-lounge-min.png" ],
  "mainEntityOfPage" : {
    "@id" : "https://blog.dataddo.com/how-lounge-underwear-built-data-infrastructure-for-9-shopify-stores",
    "@type" : "WebPage"
  },
  "publisher" : {
    "@type" : "Organization",
    "logo" : {
      "@type" : "ImageObject",
      "url" : "https://blog.dataddo.com/hubfs/Dark%20logo@3x-1.png"
    },
    "name" : "Dataddo, Inc."
  }
}
```