21 January 2020 To implement GA4 successfully, companies first need to implement a dual setup with their current Universal Analytics property and upskill their digital marketing teams accordingly. Cyril Calvet, Senior Data Analyst at Artefact France, explains how.
20 January 2021 Chinese users spend 4.7 hours a day or more on their smartphones, generating massive amounts of data. Xavier Mussard explains how segmentations capturing personas, life stage, and engagement can offer personalisation in the world’s largest internet market.
7 January 2021 To see real returns on AI and Machine Learning investments, business leaders first need to understand the cause-and-effect relationships impacting performance. Siddharth Mohan, Senior Data Scientist at Artefact Netherlands & France, explains how Causal Intelligence can boost performance.
5 January 2021 Marketing attribution tools, like Facebook Attribution, Google Analytics and Adobe Analytics can help marketers gain unique insights into what their consumers are doing across channels and touchpoints — but only if they set them up correctly. Katharina Zilke, Head of Social Media at Artefact Germany, outlines the five steps marketers can take to give themselves the best chances of success.
14 December 2020 With the introduction of opt-in permissions for apps, iOS 14 will make it harder for brands to target consumers on an individual level and to measure results of marketing activities. Bobby Gray, Head of Analytics and Data Marketing at Artefact, considers the impact and explains how brands can respond using first-party data.
25 November 2020 Marketers have longed to be able to track when, where and how their consumers are interacting with their brands — online and offline. Tools like Facebook Attribution can help brands take a critical step forward in their understanding, says Arnaud Marro, Head of Social Media at Artefact France.
25 November 2020 In this article, Artefact’s Senior Data Scientists Kasra Mansouri and Camille Le Gonidec explain how to create a data science product with limited data and high business constraints. Find out how they were able to reduce product stock outs in hypermarkets with Time Series modelling.
25 November 2020 In this article, Amale El Hamri, Senior Data Scientist at Artefact France explains how to train a language model without having understanding the language yourself. The article includes tips on where to get training data from, how much data you need, how to preprocess your data and how to find an architecture and a set of hyperparameters that best suit your model.
25 november 2020 At Artefact, we are so French that we have decided to apply Machine Learning to croissants. This first article out of two explains how we have decided to use Catboost to predict the sales of “viennoiseries”. The most important features driving sales were the last weekly sales, whether the product is in promotion or not and its price. We will present to you some nice feature engineering including cannibalisation and why you sometimes need to update your target variable.
