London – March 15th, 2018 – Criteo (NASDAQ: CRTO), the leading commerce marketing company, today reveals that marketers across the UK are missing out on revenue and delivering an improved customer experience by not measuring the lifetime value of their customers.
According to IDC's white paper sponsored by Criteo, machine learning and artificial intelligence will fuel marketing strategies in 2018, helping companies to personalize at scale and deliver a better ROI.
Shopping apps generate three times the conversion rate compared to mobile web and omnichannel customers generate 27 percent of all sales, according to data from Criteo's Q4 Global Commerce Review.
Aly Nurmohamed, Criteo’s Vice President Global Publisher Partnerships, talks about how data-driven insights and programmatic advertising can help marketers personalize ads and find the content that works best.
Internet Retailer features findings from Criteo's Q4 Global Commerce Review on the power of apps, highlighting that app shoppers are three times more likely to make a purchase after viewing a product detail page than mobile web shoppers.
In an interview with Beet.TV, Benoit Fouilland, Criteo’s CFO, discusses the likely effects and non-effects of GDPR, highlighting the new protections for consumers under the legislation’s stipulations.
John Roswech, Criteo’s Executive Vice President, Brand Solutions, explains that the winding shopper journey and the convergence of ecommerce and brick-and-mortar, contributes to product discovery trends and impulse shopping.
Business of Apps shares findings from Criteo's Global Commerce Review, which reveals that shoppers are increasingly turning to smartphones over tablets and desktop as the preferred method of purchasing.
According to Criteo's Global Commerce Review for Q4 2017, in-app sales now account for 66% of all mobile transactions for retailers with both a mobile web presence and a dedicated app.
Guillaume Marcerou, Criteo’s Global Privacy Director, explains the deeper aspects of GDPR and its impact on sensitive and non-sensitive data.
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