Set priorities. Once goals are established, it’s important to determine key priorities. For instance, if the primary goal is revenue growth, the priority should be executing initiatives that drive conversions, such as keyword or audience expansion. On the other hand, if the primary goal is driving profit, then the priority should be focused on initiatives such as search query report (SQR) mining for negative keywords and other forms of optimization.
In this example, competitor #1 is rated higher than competitor #2 on product innovation ability (7 out of 10, compared to 4 out of 10) and distribution networks (6 out of 10), but competitor #2 is rated higher on customer focus (5 out of 10). Overall, competitor #1 is rated slightly higher than competitor #2 (20 out of 40 compared to 15 out of 40). When the success factors are weighted according to their importance, competitor #1 gets a far better rating (4.9 compared to 3.7).
To create a similar chart, start with your website goals and map them to a potential visitor’s goal. For example, you may want to generate more event space inquiries, which means potential visitors to your website would likely be searching for an event space. Now ask yourself: what do people searching for an event space type into Google? If I were looking for this type of product or service, how would I search for it on the web?
More specifically, who gets to appear on the page and where is based on an advertiser’s Ad Rank, a metric calculated by multiplying two key factors – CPC Bid (the highest amount an advertiser is willing to spend) and Quality Score (a value that takes into account your click-through rate, relevance, and landing page quality, among other factors). In turn, your Quality Score affects your actual cost per click, or CPC.
Evaluate your competitors by placing them in strategic groups according to how directly they compete for a share of the customer's dollar. For each competitor or strategic group, list their product or service, its profitability, growth pattern, marketing objectives and assumptions, current and past strategies, organizational and cost structure, strengths and weaknesses, and size (in sales) of the competitor's business. Answer questions such as:

Comparative user testing to the rescue: you ask the participants to evaluate your website as well as the websites of your top 2 competitors. To avoid biased feedback, try not to disclose which company you are with, and mix up the order in which you show the websites to the participants. Not to overwhelm the participants, limit the number of websites to 3 per person.
So how is geo-targeting different? Geo-targeting refers to delivering ads to people meeting a specific targeting criteria and who enter inside of a defined radius using the same geo-fencing location technology. The key difference is geo-targeting hones in on specific consumer targeting criteria like demographics, behaviors, interests, as well as where the person is located.  You often need bigger geos to do this since you are not showing the ads to EVERYONE inside the geo-fence, they must also meet the targeting criteria.
“We’re seeing a lot of attention on our Promote product, a solution for small business owners, that few people realize is powered by automation and machine learning behind the scenes. We’ve partnered with large banks, small business service providers, and more to bring this machine learning martech to small business owners. And we’re not alone. There are many examples of increasingly accessible machine learning tools for small businesses.”
In the print days, taking out an ad in the Detroit Free Press allowed businesses to know that primarily Detroit area residents who could actually visit the business would see the ad in question. Not so in the era of mobile ads which, if delivered indiscriminately and without location context, can be less successful because they aren’t relevant or personal. Ad creative targeted at — and customized for — an Oklahoma consumer versus a New York City one is likely to be more effective in driving a physical sale.
To use this feature, you’ll need at least 15 conversion in the last 30 days, though you should really only use it if you have more historic conversions in order for AdWords to more accurately adjust your bids to meet the target. If you’re selling a product or service that is particularly seasonal, keep a close eye on your Cost per Conversion target to make sure that AdWords doesn’t reduce your bids too much if you have a period where conversions aren’t happening as much as they were during peak season.

In this example, competitor #1 is rated higher than competitor #2 on product innovation ability (7 out of 10, compared to 4 out of 10) and distribution networks (6 out of 10), but competitor #2 is rated higher on customer focus (5 out of 10). Overall, competitor #1 is rated slightly higher than competitor #2 (20 out of 40 compared to 15 out of 40). When the success factors are weighted according to their importance, competitor #1 gets a far better rating (4.9 compared to 3.7).


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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