2019-08

If you’re working in the present-day digital marketing space, you will almost certainly feel overwhelmed from time to time. The industry seems to be growing with every passing hour, as new tools are introduced, studies released, practices encouraged, and so on. Added to this is the sheer quantity of data cascading in every direction and from sources as innumerable as they are diverse. Fortunately, the work of quantifying and analyzing that data is readily achievable with the aid of advanced Artificial Intelligence software engineered with the specific goal of delivering usable reporting.

As a marketer, have you ever wondered why your customers leave after just two months, or why there’s a sudden 60% plummet in your daily average usage? Or, why is it that some days customers just don’t convert on the checkout page, and why do 25% of my customers always cancel after six weeks? If you find yourself wondering what the answer is to these questions, it’s probably time you run a churn analysis.

With the technological advances that have come about in the last decade, marketers can now drive campaign performance more effectively than ever before. However, this is no indication of a digital panacea, as there are always going to be speedbumps to overcome, and innovations to incorporate. One of the challenges today’s advertisers face, is to harness all of the pertinent data rather than just look at bits and pieces of a partial picture.