Geotargeting is the practice of delivering content to a consumer — via mobile or web — using geographic location information about that individual. At a basic level, a business can restrict its reach to consumers only located in a defined geographic area such as a state or a city. But location often provides much deeper, more meaningful and identifiable traits that tell you what a person wants, needs or is interested in.
Although this process can be tedious and time consuming, it is essential in identifying where your competition may be surpassing you as well as what advantages you have over your competition. Developing takeaways will help identify these strengths and weaknesses. From there, you can improve your marketing plan by putting greater influence on the features your company offers and finding ways to implement features your company doesn’t offer that seem crucial to gaining customers.
You can use multiple different exclusion zones if you have an extremely particular region that you’re looking to target. The only caveat here is that you have to make sure you’re not being too narrow with your behavioral and demographic targeting. When you focus on too small a region, the size of your audience can get so small that it becomes practically impossible for Facebook to actually deliver your advertisements.

The primary goal of a competitive analysis is to understand the marketplace and how you can differentiate from other players. At the end of a competitive analysis, you should create a battlecard for each competitor. A competitive battlecard is essentially a quick visual reference for your sales and marketing team, guiding them as they position your organization against competitors.
When looking at competitors for the PwC field service operations group there were lots of competitors (including paper printed out and stuck to the wall). What was interesting was that most of the competitors were originally independent companies, but then acquired by larger companies. What was most helpful was looking at how each organization’s strategy changed their end goals. In the case of Field Service Lightning it was originally about the CRM capabilities of SalesForce, but is now about the integration of machine learning for Salesforce’s Einstein.

For example, if a user from a high income neighborhood visits a car dealer’s site or clicks on a paid search display ad, that consumer may be directed to a landing page displaying a luxury vehicle, while consumers located in a lower income area may be targeted with a deal on an economy vehicle. The higher income consumers may be more interested in deals such as cash off or lower interest rates whereas those in lower income brackets may be more receptive to lower monthly payments.

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>