One of the things that can slow-bleed the traffic from your site is the quality (or lack thereof) of the content you publish on your site. Previous Google updates like Panda have already been released specifically to deal with the issue of low-quality content on websites. Long story short: Panda intended to stop sites with bad content from appearing in the search results.
Interviews can be a source of some decent traffic, both in giving and hosting them. On the giving side, you’re building your reputation and you’re gaining links, as the places who interview you publish a link to you as their source. On the hosting side, you publish links to influencers you interview, who have a decent chance of linking to you as a “check out this interview I did” comment somewhere. They have an interest in promoting it, after all.
Implementing structured data markup (such as that from schema.org) might seem like a one-time project, but that “set it and forget it” mentality can land you in hot water. You should be monitoring the appearance of your rich snippets on a regular basis to ensure they are pulling in the correct information. As you change the content on your website, this can alter the markup without warning.

Before developing this subject further, indulge me to remind you that according to Google a robots.txt file is a file at the root of your site that indicates those parts of your site you don’t want accessed by search engine crawlers. And although there is plenty of documentation on this subject, there are still many ways you can suffer an organic search traffic drop. Below we are going to list two common yet critical mistakes when it comes to robots.txt. 


If you've never been on Product Hunt before, it's like a daily Reddit feed for new products. Products get submitted to the community and they're voted on. Each day products are stacked in descending order based on how many votes they've had. Ranking at the top of the daily list can result in thousands of conversion-focused traffic to your site, just as the creator of Nomad List found out.
While it’s best to create a custom dimension for filtering out bots, applying the generic bot filter is a good place to start. It’s important to note that filters cannot be applied retroactively, so if you’ve recently turned on this feature, you should be receiving less traffic. Additionally, double-check that you are filtering out your own traffic and IP address.
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To do this, I often align the launch of my content with a couple of guest posts on relevant websites to drive a load of relevant traffic to it, as well as some relevant links. This has a knock-on effect toward the organic amplification of the content and means that you at least have something to show for the content (in terms of ROI) if it doesn't do as well as you expect organically.
The most common way a user can arrive at your website is by typing the URL into the address bar. This is known as direct traffic. Your visitor arrives directly without coming from anywhere else on the web. Other forms of direct traffic include clicking on a bookmark, or links from documents that don’t include tracking variables (such as PDFs or Word documents).
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If, on the other hand, you’ve already migrated to HTTPS and are concerned about your users appearing to partner websites as direct traffic, you can implement the meta referrer tag. Cyrus Shepard has written about this on Moz before, so I won’t delve into it now. Suffice to say, it’s a way of telling browsers to pass some referrer data to non-secure sites, and can be implemented as a element or HTTP header.


There are a few key pieces of information that we want to look at with Organic Traffic. The first piece of information that helps us frame the website performance is the total percentage of traffic that is organic traffic. These numbers will vary greatly based on your AdWords spend, how many email campaigns you send and many other factors. To view this figure, we want to go to the Acquisition section of your Analytics dashboard and then proceed to Channels.
Hey Matt, thank you so much for such a great compliment. I had my head spinning when I started pulling up all the traffic sources for this post. I tried them all and recommend everyone to do it. But definitely not at once, lol. It would be great to choose one or two and try them out. Every niche is a story for itself and I am sure one of these sources you haven't tried before can bring great traffic to you.
It's a little awkward, so we'll get straight to the point: This Monday we humbly ask you to defend Wikipedia's independence. We depend on donations averaging about $16.36, but 99% of our readers don't give. If everyone reading this gave $3, we could keep Wikipedia thriving for years to come. The price of your Monday coffee is all we need. When we made Wikipedia a non-profit, people warned us we'd regret it. But if Wikipedia became commercial, it would be a great loss to the world. Wikipedia is a place to learn, not a place for advertising. It unites all of us who love knowledge: contributors, readers and the donors who keep us thriving. The heart and soul of Wikipedia is a community of people working to bring you unlimited access to reliable, neutral information. Please take a minute to help us keep Wikipedia growing. Thank you.

Direct traffic refers to traffic you receive to your website that doesn't come through any other channel. So, when you type www.hubspot.com into your search bar and hit 'Enter,' you're accessing HubSpot.com via direct traffic. If someone posted a link to www.hubspot.com on Facebook, however, and you clicked on that link, your visit would be bucketed in HubSpot.com's social media sources.
Armed with this information, ecommerce marketers can learn why some sources might be underperforming or focus efforts on sources that drive better quality traffic. In some cases, this might mean relying less on search engines and more on social media or brand awareness. Other times the opposite could be the best course of action. Either way, the Traffic Sources section in Google Analytics can help.
I would like to talk about a case study for a large start up I worked on for over eight months in the Australian and US market. This client originally came to the company with the typical link building and SEO problems. They had been using a SEO company that had an extensive link network and was using less than impressive SEO tactics and methodologies over the last 12 months. The company was also losing considerable revenue as a direct result of this low quality SEO work. So, I had to scramble and develop a revival strategy for this client.
Mobile traffic: In the Groupon experiment mentioned above, Groupon found that both browser and device matter in web analytics’ ability to track organic traffic. Although desktops using common browsers saw a smaller impact from the test (10-20 percent), mobile devices saw a 50 percent drop in direct traffic when the site was de-indexed. In short, as mobile users grow, we are likely to see direct traffic rise even more from organic search traffic.
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