These days, organic SEO is all about creating the highest quality content that is actionable and informative around a specific topic. While your content will no doubt contain keywords referencing said topic in places like heading tags and body copy, search engines are well-versed at filling in gaps about content topics without needing to be bludgeoned by keywords. Keyword research can never—and should never—be used as a crutch for poor content quality. However, exercises like those described below, can play very important roles in helping you define and measure your content strategy as well as mapping your content topics to real users’ needs. Words matter.
Make a list of product features and benefits in order of importance, and prepare a table to show whether or not each of your competitors fulfill them.For example, Medium-sized companies that purchase copier machines may look for the following product benefits and features when making buying decisions: Competing Company: A B C D Features: 1. Auto paper feed 2. Auto enlarge or reduce 3. Collates 4. Staples 5. 24 Hour Repair Service 6. Warranty Benefits: 1. Easy to operate 2. Saves money 3. Good print quality 4. Dependable 5. Fast Price: $ Other factors you may want to evaluate include:
If you have been dabbling in this PPC advertising thing and not noticed much traction, you might want to reconsider your budget. Many small businesses set a PPC spend that is too small to make any significant impact. Most people don’t realize that while PPC campaigns generate an average of 2% click-through, most do much better, especially with the help of new technology like machine learning.
1. Branding or converting strategy. One of the first things to consider in developing a keyword strategy is what you want to accomplish when you reach your target audience. Do you just want to generate an impression for branding purposes or do you want to invite them to your place where you get them to make a purchase? Here are three types of strategies to consider:
When you conduct your competitive analysis, it's worth analyzing the sales models of your competitors. In his article Three SaaS Sales Models, Joel York describes the three most common SaaS sales models based on the relationship between price and product complexity. Companies with low priced and low-complexity products must focus on developing a self-service option so they can maintain a healthy relationship between customer acquisition cost (CAC) and customer lifetime value (CLV). Slack, Trello, Dropbox, GitHub are all low-price, low-complexity products.
Local plumbers can’t provide their services even three counties over (let alone three states over), and a juicy burger wouldn’t exactly hold up well in express shipping. Some businesses rely only on local customers. As a result, they’ll want their PPC campaigns only to appear in the feeds and searches of users who are within a set distance from their home b3ase.
An important distinction to make before we begin is that a Competitor Analysis is not a Product Comparison. Although we may make mention of the types of products sold, we should not be including the detailed product features in a Competitor Analysis. Quite often, two seemingly distinct products can solve the same customer problem or satisfy a similar need. At its core, a Competitor Analysis is a document that evaluates the strengths and weaknesses of your rivals.
Finding the right competitors for my research wasn’t a hard task because I already knew many apps that provided similar features, but I still did a quick search on Google, and the results were a bit surprising — surprising because most of the apps I knew turned out to be more like indirect competitors to the app I was working on; and later, after a bit more searching, I also found the apps that were our direct competitors.
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.
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. <<<