Direct traffic is people who type your URL into their navigation bar, or who use a bookmark. These are your regular visitors, people who’ve discovered you in some other way and are now coming back, and — less now than in the past — people who type in a URL they’ve seen on your offline ads or who guess your web address based on your company name. Direct traffic is often the highest converting kind, but it can also be regular blog readers or your own staff. Filter your workers out if at all possible to keep your data clean. If you can’t filter them, at least ask them to use direct methods (rather than search, for example) and you may be able to identify it when you work in Analytics. Any traffic that Google can’t identify will also show up in Direct traffic, and that can include ads if you haven’t hooked up your ad accounts with your analytics, email or SMS campaigns if you haven’t tagged them for Google, and other sources that aren’t identified. Tag well and you’ll see less of this.
If your company is like my client’s, there’s a good chance you’re taking advantage of the maximum 20 goal completions that can be simultaneously tracked in Analytics. However, to make things easier and more consistent (since goal completions can change), I looked at only buyer intent conversions. In this case it was Enterprise, Business, and Personal edition form fills, as well as Contact Us form fills.
The moral of this story is that everything is contextual. And this applies to everyday happenings and to your online marketing, traffic sources, and conversion rates as well. It happens that what looks like an opportunity to be actually a setback and vice-versa. We all make changes within our sites with the purpose of having tons of traffic. We are in a continuous race for inbound links, domain authority, technical SEO, diagnosing traffic drops, search volume, keyword research and we forget to take a few steps back and see how all of these influence our overall site’s performance. We’ve documented the ranking drop issue in an earlier post as well and you can take a look at it as well to better understand this phenomenon.
Use social media. Build a presence on social media networks like LinkedIn, Twitter, Facebook, Google+ etc. All of these activities help to get your name out and website address out on the internet. Read about how we doubled our social media audience in a week. Add share buttons to your site to make it easy for people to share your content. And write content worthy of sharing.
Thanks for this handy info. I wasn't aware that Google owned Vark so I'm off to check it out. There is so much to learn about the best sites to use on the internet for traffic generation. I'm too frightened of spending more time surfing than actually writing for my own blogs that I probably don't do nearly enough 'looking'. Does anyone else have this time problem V's actual work time?
The online space has definitely become extremely competitive. New businesses, platforms, and complimentary services are entering the market almost every day. In fact, nowadays you can even set up an online store in just five minutes, but to sustain it as a profitable e-commerce business requires significant amounts of time and resources, plus a great amount of business experience and marketing knowledge.
The "Direct Session" dimension, not to be confused with the default channel grouping or source dimension, is something different. It can tell you if a session was genuinely from its reported campaign (reported as No), or if it was simply bucketed there due to the last non-direct click attribution model (reported as Yes). I didn't mention this dimension in the article because it has some flaws which can cause brain bending complexities, plus it goes a little beyond the scope of this article, which I tried to gear more towards marketers and non-expert GA users. It's certainly an interesting one, though.
Beyond organic and direct traffic, you must understand the difference between all of your traffic sources and how traffic is classified. Most web analytics platforms, like Google Analytics, utilize an algorithm and flow chart based on the referring website or parameters set within the URL that determine the source of traffic. Here is a breakdown of all sources: