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.
Think about what else is around you. Don’t just think about where you are; think about what’s around you. Are you a restaurant near a stadium or an airport? Encourage people to stop by after the big game, before that Ed Sheeran concert, or for a graduation celebration in your ad copy. If you’re a boutique fitness studio, advertise to people who are health-conscious and attending the farmer’s market nearby. Put these suggestions into your copy to increase in-store events.
Your keyword strategy should make clear which “keyword groups” you focus on. It doesn’t have to be a long list of keywords (though it doesn’t hurt to have one). Your keyword strategy should be a definition of a group of keywords that you’re tackling. Every time you’re writing new content you can have a quick look at those groups and pick a new keyword that falls in line with the strategy.
Example 1: Say your business focuses on skin care. Your keywords might center around the idea: “how proper skin care can improve your health.” You would then begin looking for a keyword theme that sums up the idea of skin care relating to health. The takeaway message is that your business has a goal, and the right keywords will relay this goal to site visitors in a clear, concise way.
Pick your battles. Sometimes a keyword is so competitive, it's best to let it go. Focus on keywords where you have the most opportunity to move up in the ranks. Moving up from a ranking of 60 to 50 won't have much of an impact, but moving from a ranking of 15 to 8 pushes you from Page 2 to Page 1 of Google's search results, where you'll have a much better chance of being found.
There are lots of questions, as yet unanswered. For example, when considering anonymity, is it okay if trackers gather data, but aren’t able to discern exactly who a user is? There are questions of security and privacy, and information one company might share with another. There are questions of choice: should customers always have to opt-in, or can opt-outs work, too? There are questions about who can and can’t be trusted with these services: your company, for example, versus, say, the U.S. government.
What’s the difference between your brand and your keywords? Are you using both effectively? Your brand is one of your most important keywords, but it shouldn’t be your only keyword, nor should you have lots of keywords but no brand. There should be a keyword strategy behind the keywords you pick. This post highlights the why of that and explains the basis of the how, then points you to several useful posts for the how.
Keyword research is a time consuming and continuous activity. Create your list of core keywords at the time of campaign planning and you should constantly refine and expand your keyword list for long-tail, low cost and highly relevant keywords. Another important step in keyword research is to review high cost, under performing keywords. Remove these keywords from your list.
It is dependent on the pre-analysis of the entire IP address space. There are more than 4 billion possible IP addresses, and detailed analysis of each of them is a Herculean task, especially in light of the fact that IP addresses are constantly being assigned, allocated, reallocated, moved and changed due to routers being moved, enterprises being assigned IP addresses or moving, and networks being built or changed. In order to keep up with these changes, complex algorithms, bandwidth measurement and mapping technology, and finely tuned delivery mechanisms are necessary. Once all of the IP space is analyzed, each address must be periodically updated to reflect changes in the IP address information, without invading a user's privacy. This process is similar in scale to the task of Web spidering.