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If you’ve ever created a buyer persona, you’re already familiar with personalization. 90% of the U.S. population found personalized marketing content very or somewhat appealing in 2017, with only 4% saying it was not very or not at all appealing. According to Forbes, 44% of consumers say they are likely to buy from a company again after a personalized shopping experience. The key differentiator between programmatic and traditional advertising is that programmatic can occur in real time. This puts more power in the hands of the advertiser. Potentially, even small advertisers can leverage programmatic advertising for maximum ROI. But it’s precisely how they use this power that determines whether advertisers are successful. Programmatic advertising relies on a combination of automation, big data, and technical expertise. You still need human capital to do it, which not every business has. In its current form, it’s a better option for brands with mass-market appeal than those with niche appeal. Nonetheless, with programmatic ads taking over digital display advertising, it’s a trend to keep tabs on.
A key trend in overall digital strategy development is the ongoing popularity of digital transformation programmes. A recent poll on a members’ webinar in digital transformation showed that a third of businesses are planning transformation within the next 12 months with a quarter already having embarked on them. This is similar to what we’ve seen in our more general surveys. Within digital marketing strategy, there is continued interest in developing integrated digital marketing strategies across multiple channels. Digital transformation programmes are a response to the challenges of digital silos in some companies where there has been a failure to integrate digital across a company. Instead, we recommend using a customer-centered approach to audit your approach for different personas across the lifecycle as shown below.
According to Techgrabyte: “Artificial intelligence is the biggest commercial opportunity for companies, industries, and nations over the next few decades” and “will increase global GDP by up to 14% between now and 2030,” which means that “AI latecomers will find themselves at a serious competitive disadvantage within the next several years.” Here are the top reasons why organizations are adopting AI in their business: AI can analyze consumer behavior and search patterns, and use data from social media platforms and blog posts to help businesses understand how customers find their products and services. One exciting example of AI in practice is chatbots (more on that later). Mastercard created a Facebook messenger bot – which uses natural language processing software to decipher what the customer wants and respond as if it were a real person – to automate handling payments:
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