The effectiveness of geo-targeting is only going to further improve as mobile use grows and location data becomes more accurate and available. The Local Search Association (LSA) just released data that found that, for the first time, mobile devices surpassed PC use in search for local businesses and services. As I reported last month, the majority of searches (52%) for local information on mobile devices occur either in the car or away from home or work.
Other EmployeesYour employees working in other areas of the company also become exposed to competitive information. They interact with others in their industry area and often learn what your rival is doing or hear gossip and rumors. Make sure your entire staff knows they should share any information concerning the competition immediately. Former employees of a competitor can provide you with insight on: your competitor's new products, marketing strategies, how-to improve productivity and employ other resources more effectively, and what your competitor's general working environment is like.
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.
For example, a coffee shop can set a 1-mile perimeter around its store and reach any user within that radius. Or, it could set a 3-mile perimeter around a nearby office complex to reach users that may be looking for somewhere to grab coffee before going into work. You can also try geo-conquesting, which targets customers around a competitor’s location.
You can set a bid adjustment based on a user’s previous behavior on your site, so if they’ve bought one item, you could increase your bids in your other campaign to promote related accessories or products that they are most likely to be interested when they search on Google. This can also work even if they haven’t made a purchase, but simply browsed for your products.
Here’s how it works: Every time your ad is clicked, sending a visitor to your website, you pay the search engine a small fee. (That’s why it’s called “pay per click.”) When your PPC campaign is well-designed and running smoothly, that fee will be trivial, because the visit is worth more to your business than what you pay for it. For example, if you pay $10 for a click, but the click results in a $300 sale, then using PPC is a no-brainer.
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.
if this is the best schema type, and if you've correctly implemented it, Google may choose to ignore your schema regardless. however, there may be other reasons your site just won't appear for rich search results–have you checked to see if the keywords you want to appear in rich results for actual have that as a search result function (you can check this in SEMRush)? is another domain that is "better" than your site ranking for that featured result instead (you can find out whether they're 'better' through this competitive analysis)?
Location history of a consumer provides a lot of information specific to that person: where they like to shop, what they like to buy, how often they make the trip, and even how they get there. Obtaining this information gives great insight to marketers that enhances the ability to target consumers and deliver relevant, responsive location specific ads and information, even if the consumer is not currently in that area. <<<