MecShopping is a prestigious Italian e-commerce company, elected number one for 2022-2023 for the "Fashion and Accessories" category out of more than 7,000 online shops in the running (Source: survey conducted by Corriere della Sera and Statista).
MecShopping has more than 8 shops and over 50 categories of clothing and footwear, accessories and underwear for men, women and children available on its online shop, with more than 100 offers and promotions active throughout the year.
MecShopping needed to analyze in a detailed and timely manner the tracking of both the navigation and conversion path of users between the numerous product categories, and the interactions with the numerous product filters and features.
In particular, it was essential to accurately analyze the success performance of the different active offers and the related advertising campaigns in order to optimize their conversion rate and return on investment.
In addition to this, to optimize:
MecShopping has e-commerce with almost 100,000 products and a Merchant Centre (i.e. the tool that allows you to manage the Google display of the inventory of products available in your online shop and/or shop) with almost 2 million active items.
For this reason, as the first phase of the consultancy, TagManagerItaia, top partner of Stape, conducted an analysis and technical audit of the active tracking implementations on the entire e-commerce.
To address the identified requirements, they developed a customized measurement plan in collaboration with the MecShopping team. This plan was designed to:
This allowed the team to implement and optimize the configuration of Google Analytics 4 with custom tracking events for e-commerce according to the defined marketing and business objectives.
With GA4 configuration it was possible to:
... and much more.
Specifically, through GA4 they managed the configuration and tracking codes of the platforms at Server-Side level:
The tracking implementations have enabled MecShopping to:
In particular, thanks to the large number of events and browsing sessions tracked with the new implementations, MecShopping was able to exploit the potential of GA4's predictive audiences (i.e., a segment of users who, based on historical data collected in GA4, are most likely to complete a specific conversion action) to significantly increase the purchase rate on its shop.
In addition, the optimisation of the Cookie Banner's layout and style allowed them to double the number of tracking consent acceptances from users from 24% to 50%, thus collecting a greater quantity and quality of accurate data to launch more targeted and profitable advertising campaigns.
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