It’s not easy to find information on market share. Large companies invest millions of dollars to investigate market share but most SaaS companies don’t have such resources. The best shortcut is to conduct a survey with a sample size of 200-300 respondents, asking them what tools and solutions they are using. That’s usually just enough to get a ballpark estimate of market share in the SaaS industry.
It has also become remarkably difficult to distinguish direct competitors from indirect threats - and when you do, you find competition often comes from surprising places. In fact, competition in the SaaS and tech industries is increasingly coming from indirect competitors, whose core technology enables them to invade adjacent verticals and industries.
It’s important to classify your keywords. You should distinguish your most important high level keywords, the ones that have sufficient traffic for your business and connect the best to your business. These are usually more “head” than “tail”. You should only have a few of these keywords for your business. The rest of it are bound to be more down the tail. If you don’t know what I’m talking about, go read up on long tail keywords.
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If you don't know the difference between head terms and long-tail keywords, let me explain. Head terms are keywords phrases that are generally shorter and more generic -- they're typically just one to three words in length, depending on who you talk to. Long-tail keywords, on the other hand, are longer keyword phrases usually containing three or more words.
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.
This broken-link checker makes it easy for a publisher or editor to make corrections before a page is live. Think about a site like Wikipedia, for example. The Wikipedia page for the term "marketing" contains a whopping 711 links. Not only was Check My Links able to detect this number in a matter of seconds, but it also found (and highlighted) seven broken links.