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A competitive job market should be a good thing, but it can also lead to challenges for marketers. For instance, have you considered the impact of decision maker turnover on the quality of your data?
You’ve sent the most compelling e-mail offer ever, with a can’t-miss subject line that’s sure to make the open rate soar, and your client wanting more. And yet, it missed. Why didn’t your target audience care about it? Three words: functional title data.
These days, the measure of your success can be as simple as the MQLs you develop, so it’s pretty important to know ahead of time whether your message is mighty, or mighty weak. The best performance predictor is, predictably, also the best way of insuring that your rollout doesn’t flame out.
Last month we discussed how Colin Powell’s 40–70 rule applies to research. What we didn’t say is that results are only half the story and should not be taken as law-like truth.
Many research programs with obvious results fail when applied to marketing. Why didn’t they work? There was an ’80s rumor that went something like this: