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.
On the positive side, you can have personalized ads appear for every search query, and improve account performance by increasing CTR and quality scores. On the other hand, if not set up correctly DKI ads can hurt your account if you don’t take into account plurals, misspellings or any other grammatical errors that can occur. Like any strategy, DKI ads require time, testing and good organization to be most effective.

This is a great list! I especially appreciate the sample set of pages you recommended - oftentimes we ask clients we're onboarding who they consider to be their competitors, but once we start digging into their sites we see they're not necessarily "search" competitors or the sites just aren't that similar to be regarded as such in the search engine's eyes. At least these pages can help weed out any sites that just aren't built out to be similar to a client or are way ahead, so you can get an accurate comparison!
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.

After setting your campaign goal and choosing the right platform for your ad, the next step is to plan your ad targeting for your most relevant audience. There are two types of targeting. You can target audience for a specific geographic location and you can also optimize your campaign for a specific device type, operating systems and wireless networks.
Yes, that sounds like it would be awesome. Another great update would be to add a script that populates the spreadsheet automatically from a file structure containing the downloads (organic KWs and Links) to save copying and pasting everything. I’m going to have a chat with a friend in the Analytics space to see if he can help. Will share any successful output.
"Since consumers know what they are looking for, you can optimize your content around the core needs and problems your target audience experiences. It is your job to build an SEO strategy by knowing what your customers are looking for. This will allow you to create relevant content that your customers want to read, and as a result, your content will rank higher in Google."
Now the ad servers don’t create this table themselves, they license it from another ‎company like MaxMind or DigitalEnvoy, whose primary business is geolocation ‎data.   This is no enviable task; IP addresses themselves don’t necessarily have an ‎obvious pattern in the way they are assigned like a telephone area code would.  It’s ‎a bit like solving a mystery, and the geolocation companies use a variety of ‎methods to approach the problem.  ‎ /injects>
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