If data flows and systems aren't designed from the ground up to work together, it can be unacceptably difficult to leverage accurate or timely predictive insights into effective customer engagement.
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The way I think about CX can be distilled quite simply: creating a memorable customer experience is a lot like building a three-legged stool.
Millennials love video games, and no retailer knows this better than GameStop -- the success of its business depends quite literally on this group of individuals, which make up 59% of its PowerUp Rewards program members and almost two-thirds of its workforce.
Many might say brands compete primarily on value, price, quality, selection, and customer service -- at least, those were the answers five years ago.
There are one billion video views on Facebook per day and nearly 3 million video views on YouTube each minute -- these metrics reveal that consumers are hungry for video, and they’re not just watching them for entertainment.
Predictive intelligence is not a new concept, but thanks to advances in data science, they have more applications, and more accuracy, than ever before.
According to DigiDay, Pinterest accounts for 25% of retail referral traffic and shoppers coming from Pinterest spend an average of $140-$180 per order versus $60-$80 from Facebook and Twitter.
Everyone loves a new customer - she’s a promising blank slate, with no prior experience with your brand and no expectations that you’re going to cut prices constantly.
Personalization on a reader-level is the key to unlocking the value of content.