Katey Ferenzi has lived and breathed ecommerce for +10 years. In the mid-2000s, she and her husband started their own online business and successfully exited so they may come to Bigcommerce to teach other SMBs how to do the same. Currently, she's consulting for Jasper PIM, a Product Information Management (PIM) solution focused on unifying back-office operations with front-end shopping experiences for mid-market and enterprise businesses looking to scale.
That would work but I would prefer to keep the data consistent and use Majestic or Ahrefs instead in that case. The template formulas can be adjusted to work with either tool. Sometimes, I will combine the data from all 3 tools to increase the amount of backlinks in the analysis but that takes a little bit more work and formatting to get it to work properly.
The Java program is fairly intuitive, with easy-to-navigate tabs. Additionally, you can export any or all of the data into Excel for further analysis. So say you're using Optify, Moz, or RavenSEO to monitor your links or rankings for specific keywords -- you could simply create a .csv file from your spreadsheet, make a few adjustments for the proper formatting, and upload it to those tools.
Long tail keywords are longer word phrases. They are specific phrases searchers are more likely to use when doing a specified search. Due to the more tailored nature of long tail keywords, it is important to create a theme around these phrases. Doing so will increase your business’ rank in search engine results. A generic single keyword is not as valuable as multiple keywords that match a user’s search. In short, long tail keywords prove that, as far as B2B SEO goes, less is not always more. Once you’ve compiled a list of “long tail keywords” that describe a certain theme, you can begin conducting your keyword research.
To do this, you want to analyze your analytics frequently by keyword and observe visitors’ behavior when they come to your website or landing page. Don’t fixate on just traffic alone. How much time are they spending on your site? What is the average number of pages they are viewing? What is the bounce rate? A high bounce rate like 80 percent will tell you that most of your visitors leave your site immediately upon landing on your site. They’re not engaged and see no content clues they arrived at their desired destination. This can be fixed by making changes to your landing pages as long as they are relevant to the keywords that brought them there.
For this reason, some companies have taken a more direct measurement approach to IP geolocation vs. trying to infer it through ping triangulation. It’s far more straightforward, but requires a lot more manual effort. Basically, these companies send cars out to drive up and down every street in the country and log WiFi IP addresses as well as their physical location to populate the same table that more traditional geolocation companies build through technical means. Google and Skyhook both use this approach.
Because someone who is looking for something that specific is probably a much more qualified searcher for your product or service (presuming you're in the blogging space) than someone looking for something really generic. And because long-tail keywords tend to be more specific, it's usually easier to tell what people who search for those keywords are really looking for. Someone searching for the head term "blogging," on the other hand, could be searching it for a whole host of reasons unrelated to your business.
Your campaigns are the foundation of your structure. You will probably only have a few campaigns, which is fine. The less you have, the more manageable it will be. Start small and only expand when it makes sense to. You could have a campaign for each type of chocolate (fair trade, milk, white, dark, vegan) if you were a small chocolate shop for example. You could have a campaign for sale and non-sale items as well. You have to decide what makes sense for your small business.
Based on your competitor’s marketing message, what kind of customer does the viewer have to be for these messages to appeal to him or her? What is their age range? Where do they have to be located? What's their profession, if any? What other customer demographics can you infer? You're essentially trying to come up with a "buyer persona", a character who best represents the person your competition is trying to reach.
As UX designers, we should go out there and collect as much data as possible before building a real product. This data will help us to create a solid product that users will want to use, rather than a product we want or imagine. These kinds of products are more likely to succeed in the market. Competitive analysis is one of the ways to get this data and to create a user-friendly product.