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The world is a pretty impersonal place some days. You can draw money out of the bank, order something to eat and work for several hours without talking to another soul. People crave one-on-one attention, and that is likely why personalization in marketing is growing in importance. Machines are also much faster and able to sort through the data needed to create highly targeted ads geared specifically to each user.

Susan was promoted to sales manager two months ago. Back in the day, she was a star salesperson -- a great funnel manager, always organized, always well-rested. Her attitude offered a glowing "pick-me-up" for everyone around her in the office.

Any purchasing decision is part emotion, part logic. Of course, prospects are interested in ROI and price and implementation, but ultimately they want to know how your product will help them, how it will make their jobs and lives easier, and how it will earn them professional kudos.

If you're honest about your new customer acquisition efforts, then you'll admit that most new tests fail when compared with your top performing lists and media. Nevertheless, you continue to take calculated risks having the empirical assurance that they will eventually pay off. But how do you decide which risks are most appropriate and recognize the greatest benefits?

This blog post was originally featured on the Marketo blog, click here to view it on Marketo's site. If you’re reading this blog, that probably means that you keep up to date on the latest marketing trends and news. If so, you have probably heard of the GDPR, and are currently trying to figure out how to navigate this new regulatory environment and maintain an effective marketing strategy. Just in case, here’s a brief introduction. The GDPR, or General Data Protection Regulation, is a European law that came into effect across the EU on May 25th, 2018. It imposes much stricter regulations on how companies use consumer data. As a result, any company that does business in Europe has to drastically change the way that it collects, stores and uses consumer data.

It can be difficult to determine when a lead is ready to be handed over from the marketing team to the sales team in order to close the sale. There are no black and white distinctions that make it clear that a lead is a sales qualified lead (SQL), and this subjectivity can drive inter-team conflict and waste valuable resources.