7 Ways Your Data Collection is Failing You
Right here's a list of the seven ways that data collection and analytics are failing to offer marketers and brand names the kind of extensive take a look at their consumers which we've been guaranteed:
Data is Fragmented – 72 %
Data fragmentation is a huge issue for 72 % of all participants, saying that the insufficient metrics they gather either do not help or they cannot be combined with other information to form actionable campaigns. With a lot made of “pivoting” on your marketing projects in real time, exactly what good is data collection if in the end, we're left holding stacks of information with no discernible moves to make?
Data is Not Available – 52 %
Over half of all participants also reported “blind spots” in their analysis thanks to information not being readily available over all applications. For example, it's excellent to understand that your demographic is originating from social media, but if you have no idea which platform, you're simply taking shots in the dark.
Data Element Definitions are Different – 43 %
While not as uncomfortable, there still is a huge divide between the means that data is specified throughout various platforms. While Google might provide you one set of numbers that indicates something, Facebook insights can call this metric something entirely different and give it entirely different meanings. This results in a big communications trouble as different platforms and metrics are speaking various languages.
Lack of Translation Standards for Data – 40 %
Following during that exact same vein, the standards for how we take a look at, analyze and translate our data across the boards are lacking. There are no basic translation patterns, leaving marketers with their hands up in the air in aggravation. How are we supposed to discuss things when everybody is speaking a various language with no “Rosetta Stone” secret to speak of?
Data too Hard to Collect – 39 %
Analytics play the extremely terrible joke of making the easiest metrics to collect relatively worthless called “vanity metrics” in the industry, these are generally of no use to anybody trying to develop actionable marketing strategies or campaigns based upon gathered data. The data that is useful is too difficult to gather, specifically with things like the brand-new BETA testing code snippets that Analytics executed.
Obsolete Data – 24 %
About one-quarter of all respondents reported having information concerns with stale information or information that was weakened. This essentially indicates the metrics are dead in the water, entirely irrelevant to any of your objectives and entirely unactionable. This is a big issue for such a big amount of online marketers to be having and speaks to either the absence of info out there or a serious flaw in the reporting systems.
Sampling too Small – 18 %
Fittingly, the smallest portion of troubles came from people having too small of a sample for the data to be functional. It's fantastic that 3 % of your users feel strongly about a particular subject, but if you aren't getting feedback from the rest of your group since they are on another platform, the testing data goes right out the window.
Exactly what's the Solution for Data Collection Problems?
So, exactly what's the huge fix? Well, as of now, there is no ideal option, however you do wish to make sure you're constantly making use of monitoring links which enable you to automatically track conversions and profit/loss down to the link.