Marketing data reliability cannot be overlooked. With accurate and reliable data come accurate and reliable decisions. That is, if you base business decisions on data. <\/p>\n\n\n\n
When marketing data is unreliable, it can cause massive problems with campaigns, especially with their spending. After all, if you don\u2019t know what you\u2019re using the money for, how can you say it is working?<\/p>\n\n\n\n
Here, we will explore strategies for ensuring the functionality of a marketing ecosystem and maintaining data reliability.<\/p>\n\n\n\n
By a marketing ecosystem, we mean the combination of platforms, tools, and processes that are used for a company\u2019s marketing. For example, a very simplified but surprisingly typical marketing ecosystem could consist of the following things:<\/p>\n\n\n\n
You could probably do most things with this kind of standard ecosystem. But when it comes to more complicated things, like multi-channel reporting, it can get pretty complex really quickly. At that point, we could see these kinds of tools included:<\/p>\n\n\n\n
At this point, we not only gain more insights, but it also becomes easier to report and draw conclusions. You also have more options to choose which data to include in which reports.<\/p>\n\n\n\n
Discover related content: <\/strong><\/p>\n\n\n\n How to Begin Measuring Your Marketing Efforts<\/a> Data validation can be quite tedious, but it can really help in spotting anomalies. Cross-checking between data sources is something that we do weekly for conversions and in some specific cases. We use cross-checking the more actively when we have already spotted discrepancies in our reports. Our first reaction in these cases is to get to the bottom of it, and find out where the problem is. Then we continuously monitor the different layers of tracking to be sure that everything works.<\/p>\n\n\n\n Sometimes too good results will blind a marketer. Getting 200% increase in conversions out of nowhere can be tempting to just report proudly, but what you really should be doing is to find out if those conversion are real. Sometimes they are, and sometimes they aren\u2019t, but at least you know if everything is working as intended. Common sense in your friend in doing data validation.<\/p>\n\n\n\n Also read: <\/strong><\/p>\n\n\n\n B2B Marketing Measurement \u2013 Creating a Meaningful Measurement System<\/a> Errors can and will arise in marketing data; it\u2019s just a matter of time. The most common things that throw errors, are tracking issues and platform updates. These errors usually represent themselves by either completely lacking any data, or data being way off. In the case of the latter, it can be difficult to pinpoint the actual errors.<\/p>\n\n\n\n By doing regular audits on the data errors can be spotted before it\u2019s too late. Nothing can be undone however, so the effects of data errors will persist in the data. It\u2019s then important to write down when an error has occurred, so that when the dataset is being analyzed, those errors can be taken into account.<\/p>\n\n\n\n It is a matter of time that an error happens. What marketers need to do, is to prepare themselves to communicate and explain what\u2019s happened, when it happened, and what effects it can have. Also, it\u2019s very important to explain if and how the error can be prevented in the future.<\/p>\n\n\n\n Prepare to answer these questions:<\/p>\n\n\n\n Everyone should understand that errors happen from time to time. That\u2019s why it\u2019s crucial to communicate about them as soon as they are identified. This will enforce trust and cooperation in the future.<\/p>\n\n\n\n Explore this topic more:<\/strong> <\/p>\n\n\n\n When Marketing Data Is Not What You Expected<\/a><\/p>\n\n\n\n Like any other software, marketing ecosystem will and should evolve over time. This means that things change and break, and there\u2019s not a lot you can do about it. What you can do, though, is to get better at adapting to changes. Don\u2019t lock yourself into a certain tool, platform, or technology. Be open to try and research new platforms and tools. However, I will admit that sometimes changes are not making the ecosystem better, quite on the contrary.<\/p>\n\n\n\n As you have your marketing ecosystem up and running, update the integrations and other software regularly. Even if you don\u2019t want to use certain new user interfaces or features, do update whatever needs updating. Also be sure to share your knowledge of anything new and relevant with your team, so everyone can be on the same page.<\/p>\n\n\n\n Additional resources:<\/strong> <\/p>\n\n\n\n Trimming Unnecessary Information from B2B Marketing Reporting<\/a> So how can you mitigate the impact of data errors? It is possible to be proactive \u2013 to a degree. For example, creating a checklist for data reliability can result in fewer errors in data. But it can\u2019t really prevent something you are not in control of. <\/p>\n\n\n\n Here are a few suggestions to put on the checklist:<\/p>\n\n\n\n A marketing ecosystem that is resilient to errors is a powerful asset. Having fewer or no errors in the data means that analysis can be done reliably and efficiently. <\/p>\n\n\n\n Remember also, that getting errors in marketing data is not the end of the world; it happens. By communicating any inaccuracies openly enforces trust and credibility, which are powerful assets as well.<\/p>\n\n\n\n You can of course manage and operate everything by yourself, or you could leverage a partner, like Aboad, who works with tracking, data validation and reliability all the time.<\/p>\n\n\n
From Marketing Jumble to a Sustainable Ecosystem<\/a><\/p>\n\n\n\nSelecting and validating marketing metrics<\/h2>\n\n\n\n
Do You Measure Your Marketing Enough?<\/a><\/p>\n\n\n\nHandling errors in data<\/h2>\n\n\n\n
Identifying and diagnosing errors<\/h3>\n\n\n\n
Communicating errors transparently<\/h3>\n\n\n\n
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Continuous monitoring and adaptation<\/h2>\n\n\n\n
Digital Marketing Data Analytics \u2013 Tools and Tips<\/a><\/p>\n\n\n\nProactive steps for data reliability<\/h2>\n\n\n\n
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Conclusion<\/h2>\n\n\n\n