The risk to this approach is that it isn’t always terribly accurate beyond the city to zip code level. If, for example, you were to use MaxMind’s demo service to locate your own IP, it will likely show you perhaps a mile away from your actual address, likely at the nearest network node, the point at which your computer connects to your ISP’s network infrastructure.
We at Moz custom-built the Keyword Explorer tool from the ground up to help streamline and improve how you discover and prioritize keywords. Keyword Explorer provides accurate monthly search volume data, an idea of how difficult it will be to rank for your keyword, estimated click-through rate, and a score representing your potential to rank. It also suggests related keywords for you to research. Because it cuts out a great deal of manual work and is free to try, we recommend starting there.
If you are a UX designer, then you might be aware of the service design cycle. This cycle contains four stages: discover, explore, test and listen. Each one of these stages has multiple research methods, and competitive analysis is part of the exploration. Susan Farrell has very helpfully distinguished different UX research methods and activities that can be performed for your project. (You can check this detailed segregation in her “UX Research Cheat Sheet”.)
Not every keyword is worth ranking for. This may seem obvious, but it’s an important lesson for search marketers to learn. Often times we can get caught falling down the rabbit hole or chasing the long tail dragon to boost our rankings without thinking of the time and resources it takes to rank for these terms. Especially for highly competitive, high-volume keywords – it simply isn’t worth the time and effort it might take to get onto page one.
If you have been dabbling in this PPC advertising thing and not noticed much traction, you might want to reconsider your budget. Many small businesses set a PPC spend that is too small to make any significant impact. Most people don’t realize that while PPC campaigns generate an average of 2% click-through, most do much better, especially with the help of new technology like machine learning.
The answers remain to be seen, but there’s one no brainer in all of this; one best practice that can dictate any brand’s choices around location-based marketing: ask your users. Explain why you want to target them, tell them how you plan to use their data, and make some commitments about how you won’t use it. Ask for feedback via quick polls, or consider doing some market research on your audience. See what your users most want. Then respect that.
For many of you reading this post, you may wonder why these other strategies exist at all. Shouldn’t people only be paying for clicks that directly impact their ability to generate revenue and ultimately profit? I struggled with this concept early in my career, but ultimately came to the conclusion that not every single marketing activity can be direct response.
It doesn’t take a marketing expert to know that marketing is a complex endeavor. With so many moving pieces, it can be hard to decide what you should focus on. What mediums do you prioritize? How do you narrow down your target audience? How do you rank better on search engines? Should you have a social media campaign? And if so, which social media platform should drive that campaign? And where in the world do you even begin to dig into this stuff?
I have often gone on the record with my skepticism toward paid search campaign management software, and I have several reasons for being skeptical. My main concern has been that these tools over promise on features and under deliver on performance. They claim to replace the analyst by using algorithms to optimize campaigns, but in reality they replace the fun piece of the analysts job (improving results) and replace it with the tedious task of managing to get their campaigns to work properly in the software. I have been burned by this sales pitch twice and have written about this in a previous post called “Paid Search Bid Management Tools: Great Investment or Save Your Money?” – so feel free to read that post for more details.
Competitive analysis is an exercise of comparing your business, product, and service to companies and finding similarities and differences. The most critical part of kicking off a competitive analysis is choosing the right competitors to analyze. Otherwise, you will spend tons of time on competitive research with very limited insight to show for it. In other words, the competitors you select determines how you will perceive your company and the final analysis.
The first case is quite simple yet happens often. So for example, you have not sold tandem bikes for years (and had the word “tandem” in a negative list), then you started to sell them again. But your PPC specialist forgot to remove the word from negatives, and now you are left wondering why you are not getting any traffic for this keyword. To avoid this situation, check your negative keyword lists regularly and bring the relevant keywords back to life.
You can search for these types of competitors online (by doing a simple web search), or you can directly ask your current and potential customers what they are using already. You can also look for your direct and indirect competitors on websites such as Crunchbase and Product Hunt, and you can search for them in the Google Play and the iOS App Store.
Thanks for sharing your template file. It will help focussing on the right things right from the beginning. I checked out SEMrush to get a comparison of the keywords our competition is using. The results are poor basically. Its about sites in Switzerland for keywords and competitors we know since years. The data these tools show you is not at all reflecting the actual situtation here. I guess they perform well in the US/Canada, by far less good in rest of the world...
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