Acquia Lift – The great aha moment for some retailers is

The great aha moment for some retailers is that they realize that the data they have about customers — age, gender, zip code, income level, last item purchased — is not very strong at creating customization, and that their problem is not providing customization, but not having the right data to do the customization of what’s important to the customer,” Witcher said. “While DX customization products like Acquia Lift and Adobe Target use many of the same machine learning algorithms, customization pioneers like Amazon and Netflix have huge advantages that simply can’t be replicated by one product, including huge amounts of data and large scientific teams using machine learning models tailored to their needs,” Wentworth said. According to the Evergage study, 55% of salespeople believe they lack the data and information to set up effectively. The same report concludes that only 12 percent of sales reps are “very” or “very” satisfied with the level of their marketing efforts, while 38 percent are “moderately” satisfied. “This means,” Dick continued, “that it remains difficult to use this data for effective personalization. “Data living in silos remains a problem for most organizations,” Witcher said, “but there is a significant shift in the number of organizations that at least acknowledge that they are not functioning optimally because of their inability to handle data. Developments around PIBR and data protection laws also mean that companies can no longer take a casual approach to personalization, Witcher said, or data collection that leads to personalization. “What most sales reps ignore is that what they think is right is actually wrong. People, for example, are a terrible way to implement customization. “Many big brands are now calling a company member acustomization specialist,'” Witcher says. “When it’s time to use customization, you have to start with a little customization,” says Dick.