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Campaigns that use big data are more effective than aggregative advertising used in the past. The good thing about using big data for creating marketing campaigns is that it takes the guesswork out of determining what customers want. Marketers can develop different buyer personas using data like customer behavior, purchasing patterns, favorites and background. For example, they may find that women are more likely to respond to email campaigns, use coupons and engage in bargains and deals, and shape their digital marketing campaign from there.
Whether you’re a food blogger, a political blogger, or a blogger that’s just getting started, building an email list is crucial to your blog’s success. When you have an email list, you have a direct line of communication with your audience. This gives you an immense advantage that can yield some pretty significant results. For example, it allows you to promote your content, sell products, inform subscribers, deliver value, and most importantly build a relationship with your audience.
By default, extract-key is applied to two list elements for every comparison, but if cache-keys? is true, then the extract-key function is used exactly once for each list item. Supply a true value for cache-keys? when extract-key is an expensive operation; for example, if file-or-directory-modify-seconds is used to extract a timestamp for every file in a list, then cache-keys? should be #t to minimize file-system calls, but if extract-key is car, then cache-keys? should be #f. As another example, providing extract-key as (lambda (x) (random)) and #t for cache-keys? effectively shuffles the list.