In online environments, ad servers look at a user’s IP address to figure out their location. Behind the scenes, the ad server maintains a large database that has every IP address already mapped to its country, state, and postal code. So, when a request comes in, the ad server strips the IP address from the header of the request, queries this table, finds the necessary location data, and then picks an ad that matches that criteria.
This checklist is broken out into sections that reflect key elements from our Balanced Digital Scorecard. As previously mentioned, this checklist is to help you identify opportunities (and possibly areas not worth your time and budget). But this competitive analysis is not prescriptive in and of itself. It should be used as its name suggests: to analyze what your competition’s “edge” is.
Svitlana Graves Svitlana Graves is a digital marketer with a focus on conversion optimization. She enjoys combining in-depth customer research with data to conduct smart experiments. At the moment Svitlana is taking clients’ revenues to new levels as part of CRO Team at 3Q Digital. On a personal note, Svitlana loves Latin Dance and foreign languages. She speaks 5 and is learning her 6th.
All sorts of companies in all sorts of industries can make use of geo-targeting. By refining the ad copy to include the city name and a reference to the current weather – for example, including the words “start sleeping cooler” in an ad during periods of hot weather – Purple Mattress, an ecommerce bedding brand has been able to generate higher click-through rates by online shoppers. In an effort to update its aging "Let's Go Places" campaign, Toyota incorporated city-specific information into each of its Google ads, encouraging consumers to go to places and attractions near them. Whole Foods targeted ads to the smartphones of consumers visiting nearby supermarkets, encouraging them to come to a nearby Whole Foods nearby exchange for better deals.
Then, within your campaigns, you will have your ad groups. Ad groups should be formed based on themes of keywords. For example, all keywords that relate to dark chocolate could go into one ad group (ie. Dark chocolate bars, dark chocolate for sale online, best dark chocolate shops, where to buy dark chocolate, dark chocolate with almonds etc.). Again, keep your ad groups to a minimum when you are starting. You don’t need more than 6-8 ads within each campaign. Try to limit the amount of keywords per ad group to 10 to 20 per ad group. The keywords will be the trigger for the PPC ads that will appear in searches containing those words.
Some competitors solve the same problem with the same technology but focus on a different customer. For example, Zum provides schoolchildren with rides to school, solving a transportation problem for kids and parents. Zum solves a slightly different problem too: safety. Safety is the primary concern for parents when it comes to kids riding back from school. However, it’s ultimately grounded in the same tech as Uber.
The SEO Checker analyze the title, description, h1/h2/h3/h4/h5/h6 tags, their correct filling, and their relation with the content from the web page. We look at the size of all the content, and if all content files can be loaded and exist. We look for all the keywords on the page, how many times they appear, and if they appear in the title, description, or h1/h2/h3/h4/h5/h6 tags. We analyze your social media status, and look if you use the properly social media meta tags. Also we look for the site usability, site reputation, site speed, and much more.
In pay per click advertising, negative keywords prevent your advertisements from displaying for particular keywords. Identify the keywords that you don’t want your ads to show up for and add them to your negative keyword list. A well-researched Negative Keyword list will reduce the cost of your ad by filtering out non-converting traffic and irrelevant clicks. It also improves your ROI by reducing the average CPC.
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.
Here’s where artifacts like user personas may come in handy. A persona should clearly outline what potential customers want and how they plan to get it. It’s your job to map their needs to content you create, using the list of keywords as a guideline for topics. That said, since they’re based on assumptions and not real user input, personas shouldn’t be a replacement for user research and testing. If your buying cycle is long and complicated, a customer journey mapping exercise could also help you identify wants and needs during individual steps of the cycle. Software service Autopilot HQ has a great post about how to map content to customer needs throughout their journey.
Competitive analysis can help frame your own product context, discover other problems your customers have, and even bond the team together against a common foe. For all of these reasons and more you shouldn’t ignore your competition. However, if you don’t properly understand how they impact your organization’s strategy, competitive analysis is simply a waste of time.
Everyone knows intent behind the search matters. In e-commerce, intent is somewhat easy to see. B2B or, better yet, healthcare, isn't quite as easy. Matching persona intent to keywords requires a bit more thought. In this video, we'll cover how to find intent modifiers during keyword research, how to organize those modifiers into the search funnel, and how to quickly find unique universal results at different levels of the search funnel to utilize.
Of course, many small businesses don’t have the time or expertise to run tests on the successes and failures of their PPC campaigns. This is why simplified tools that use complex machine learning to do the testing for you are so helpful to manage PPC for small businesses. If you’re a small business owner and want to take it on yourself though, follow the winning strategies above to get started on the right track!
Geofencing hinges on the use of a “fence”—a designated area that a marketer sets. Where geo-targeting allows you to get more granular and include or exclude certain users in the target area (based on demographic, for instance), geofencing is a bit more of a blunt object in that you’ll capture all users who move into a certain area. The purpose of creating a geofence is to target communications in a given zone, in a given context—just like geo-targeting, but with greater accuracy. Retail operators who want to catch the attention of shoppers as they pass by a store, for example, might use geofencing.
In order to know which keywords to target, it's essential to not only understand the demand for a given term or phrase, but also the work required to achieve high rankings. If big brands take the top 10 results and you're just starting out on the web, the uphill battle for rankings can take years of effort. This is why it's essential to understand keyword difficulty.
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.
Unfortunately, I can’t answer all of these questions for you. But I will offer up one solution, and that’s the valuable question of where to begin. Segmenting out an audience is often one of the most important and daunting tasks for a marketer. But the work is worth it. Segmenting visitors into audiences is going to make conversion marketing campaigns more relevant and effective. An easier way to segment is by using something called geo-targeting.
Keyword Difficulty (KD). This is a cumulative score that shows you how difficult it will be to rank organically for this keyword. It accounts for the number of competitors within this space as well as the strength of those competitors. If one of your competitors is a government website that gets millions of visits each month, for instance, that will impact your difficulty score. Other factors that impact difficulty include the quality of content your competitors have and how relevant it is to the searcher. As a best practice, look for keywords with a difficulty score that's no higher than 80.
"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."
If your competitors are using a social network that you may not be on, it's worth learning more about how that platform may be able to help your business, too. To determine if a new social media platform is worth your time, check your competitor's engagement rates on those sites. First, visit the following sites to see if your competition has an account on these platforms:
Geographically targeted ads can increase returns significantly over "blind advertising." On the Internet, clickthrough rates are improved compared with advertisements not targeted by location. The results in a given situation depend on the geographical distribution of potential customers, a variable that requires intensive research to accurately determine.
Great insight here. This template is meant to serve as a base for further customization. Feel free to build on top of it with metrics and data that you find useful, I would love to see what you come up with. You can actually configure the backlink gap analysis to run for majestic or ahrefs by adjusting the query formula slightly. You bring up a great point about analyzing link data from multiple sources to get a more accurate picture so I would definitely recommend exploring majestic and ahrefs data as well..