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| Photo by Engin Akyurt from Pexels |
It’s a running joke in my office that “there are 2.5 quintillion bytes of data created each day,” (Marr, 2018) and yet we know everything, but nothing about our target audience. Marketers always think they know what their target audience wants and how they act, but people are people and it’s hard to make broad generalizations. With a plethora of tools out there to track data, Google Analytics is useful for websites, except if you’re a new blog with no paid ads driving to your site. Without traffic and time it is hard to determine significant trends, behaviors, or action items from web analytics.
Luckily Google has a Demo Account linked to its official merchandise store. This open source account lets us play around and dig into the various reports Google Analytics has to offer. The first report I wanted to check out was the Demographics Overview. Unfortunately my tiny blog did not have any data here, but Google’s Demo does.
| (Google Analytics - Demographic Overview, 2019) |
The report then broke out Age and Gender by Mobile Traffic and Conversion. This segmented data is helpful for showing us how a particular audience behaves. In this case, 26.67% of total users were mobile phone visitors. This is surprising given that mobile phones are so prevalent. To check this data, there is a Mobile report, which not only confirmed, but showed 71.64% of users were on desktop and less than 2% on tablet. So as a marketer, now I know who’s actually visiting the site and should tailor the content to be more desktop-friendly and possibly use male colors and psychographic things that make males convert.
Let’s get into the Creepy Stuff
I always tell my clients, “If you are not seeing our paid search ads, then I’m doing my job right, because you are not my target audience” (Kimberly Moy, every damn day). How do I know this? Not because I am a psychic, but because Google has a ton of data about each of our browsing habits. This data is used to create audiences to target with ads. It’s what truly makes the advertising world go around nowadays. If you don’t like it, clear you cookies. I would rather be served an ad that I would find potentially useful, than say an ad for a company that is totally irrelevant.| (Google Analytics - Interest Overview, 2019) |
Google Analytics has my favorite creepy report called Interests. This report is not useful for sites that have no paid advertising and do not focus on commerce, but it is still very cool. The report breaks down users by Affinity and In-Market Segment. Affinity audience is interesting because they are people who have interests aligned, but may not be totally aware of the brand. The in-market audience is true potential customers who are “actively researching” and are more likely to convert (Google Ads Help, 2019). The problem is that these categories are very broad, but they provide a good start to a true audience that may convert. Once you segment by age, gender, and location, you can truly target your ad spend.
Diving deeper into Audience > Interests > In-Market Segments Report the data is broken down further into actual users. Adding an additional segment of “Converters,” we can see which Interest segment converted. It is important to set the dates far enough out that you have enough data to draw a conclusion. I set the data three months out and the raw number of transactions increased for various segments, but not necessarily the top three. This will provide more data to help target ads. If a site’s goal is conversion, then Google Analytics Demographic and Interest Reports provide insight into the target audience is and their interests.
References
Analytics
Help – Demo Account. (n.d.). Demo Account. Retrieved from https://support.google.com/analytics/answer/6367342?hl=en
Analytics
Help - Demographics and Interests. (n.d.). About Demographics and Interest.
Retrieved from https://support.google.com/analytics/answer/2799357?hl=en&ref_topic=2799375
Google
Ads Help (2019, February 4). Difference between Affinity Category and In-Market
Segment? Retrieved from https://support.google.com/google-ads/thread/1452194?hl=en
Marr,
B. (2018, May 21). How Much Data Do We Create Every Day? The Mind-Blowing Stats
Everyone Should Read. Forbes. Retrieved from https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read/#6dec0eff60ba

A lot of my friends and family swear thier phones are listening because they'll talk about somethign and then bam it's on thier instagram feed they dont stop to think about that they might have looked it up before or clicked on something similar, people dont seem to understand that everything they do online is kept all in an imaginary data folder all about them.
ReplyDeleteHeres somethign else thats interesting because while we get to look at other peoples data for work and school I never really thought about what companies have on me until someone found a way to see what instagram thinks is relevant to you and gives that information to marketers. It was kind of scarily accurate and also hilariously unaccurate at some points. Here's the link to see yours if you haven't heard about it https://www.dazeddigital.com/life-culture/article/44752/1/how-to-see-what-instagram-tells-advertisers-you-re-into-settings-data-targeting
Kimberly,
ReplyDeleteYou bring up a great point about being served a relevant ad compared to an irrelevant ad. I can see how consumers can be a little spooked about this but you're right. Being served ads for things that actual pertain to you are much better than receiving ads for things that don't interest you. I think as digital marketing continues to grow, consumers will get used to seeing more targeted ads online.