Orcanta is a lingerie boutique network. In 2006, Orcanta was acquired by Groupe Chantelle, a French lingerie company founded in 1876, producing and selling women’s lingerie brands on an international scale.
Orcanta offers lingerie products from famous brands: Chantelle, Passionata, Darjeeling, Orcanta, Chantal Thomass and Femilet. Customers can always get assistance from trained staff. The company’s online store orcanta.fr was launched in 2006.
Orcanta’s marketers were looking to achieve the following two business goals:
Orcanta’s marketers use Actito to send cart abandonment emails to users whose email addresses they already know. By adding tracking parameters to all links in emails, the marketing team can associate each session across multiple devices with a user’s ID from the company’s CRM system. At present, Orcanta can identify about 45% of user sessions on their website.
At the same time, Orcanta’s marketers were looking for a solution that would allow them to automatically send CSV files with relevant data about whom to send emails, and what products to include in each email, to the Actito platform. The CSV file should be updated each hour and have the following structure:
The problem is that Google Analytics only allows combining dimensions and metrics if they share the same scope: Hit, Session, User or Product-level. This made it impossible for the company to combine the parameters that have different levels of scope, while Orcanta needed to send all the data to Actito in a single file. For more information about this limitation, see one of our blogposts.
Another problem was that the data becomes available in Google Analytics within 24 hours after a hit is sent from the site, and the company needed to have the data updated each hour, in order to send more timely emails and improve conversion rates.
In order to combine dimensions of different scopes in one report, and in order to achieve the company’s goals, Orcanta analysts decided to:
The resulting data flow chart looks as follows:
Now, let’s take a closer look at what the company did and what tools they used to increase revenues.
Orcanta’s analysts chose to use the Google BigQuery data warehouse for data collection and consolidation. The main reason for choosing Google BigQuery was that, it allows creating complex custom reports without facing any limitations.
With the help of OWOX BI Pipeline the data about each user interaction with the website is sent to Google BigQuery in near real-time. The OWOX BI team helped Orcanta make sure that the data is correct and supplement the data with product image URLs. The values of the URLs are sent to Google BigQuery as custom dimensions and matched with the product IDs in a dedicated dictionary.
In addition, OWOX BI Pipeline enabled the company to more accurately identify users across sessions, thanks to data reprocessing. This means that User ID values can be assigned retroactively. For example, if a User ID was assigned in November to a website visitor who had visited the website earlier in October, the ID value will also be assigned to all previous sessions of this visitor.
We have been working with OWOX during the past 6 months. Their knowledge of GCP solutions and their business-oriented approach allowed us to move quickly, obtain rich analytical insights and create an additional value for our company by activating our data. Thank you, OWOX team!
Igor Voitenko,
Head of Data & Analytics, Chantelle
Email addresses and User IDs of authenticated users are stored in Orcanta’s CRM system. In order to use this data in the Actito platform, the company imports it to Google BigQuery using an in-house solution developed by Ciklum.
The OWOX BI team helped Orcanta create the SQL query that is used to bring together the data about users who abandoned carts and the parameters of products in abandoned carts, all in a single table.
The OWOX BI analysts developed a script that runs the query every hour and updates the data in the table. Orcanta’s analysts use this data to create a CSV file and send it to the Actito’s FTP server. The data from the CSV file is used by the service to automatically send out cart abandonment emails with information about the products and an incentive to complete the purchase.
Thanks to the cooperation with Actito and OWOX BI, Orcanta managed to:
How do you re-engage website visitors? Share your ideas and questions in the comments below.