Bonus Trick: Try typing in your basic keyword phrase, followed by every letter of the alphabet, and making a list of those phrases. If your product or service is specific to locations, try typing in those locations to see what kind of search volume exists. (Are alternative energy tax credits more commonly searched in Austin compared with Cleveland?)
It’s all about repeated exposure—while your previous site visitors browse other websites, your retargeting provider will show them ads for your services and products. Using retargeting, you can entice visitors back to your website and effectively convert these digital window shoppers into customers for your business. In fact, potential customers who are retargeted with display ads are 70 percent more likely to convert. Now, doesn’t that sound nice?
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.
A company rarely competes against just one competitor. In fact, in many cases, the biggest competition in the SaaS and tech industries is coming from indirect competitors. These competitors hold a commanding position in their core market, allowing them to expand into different industries and verticals. Who would have thought that Uber and Google would become die-hard competitors in the autonomous car market? As I wrote previously in my analysis of sales enablement and acceleration industry, it is almost impossible to distinguish direct and indirect competitors. In many SaaS verticals everyone competes with everyone.
Furthermore, 70% of consumers are willing to share their location information if they believe they are getting something of value in return like coupons or loyalty points, according to LSA’s Local Mobile Search Study. This dynamically moving consumer base is only going to be more receptive to search results and ads that are specific to their location.
SEO competitive analysis is critical because it gives data about which tactics are working in the industry we are in and what we will need to do to start improving our keyword rankings. The insights gained from this analysis help us understand which tasks we should prioritize and it shapes the way we build out our campaigns. By seeing where our competitors are strongest and weakest, we can determine how difficult it will be to outperform them and the amount of resources that it will take to do so.
Conduct a business download meeting. I meet with key stakeholders to learn everything I can about the business and the industry they compete in. Is the business itself growing or struggling? What about the industry as a whole? I use this time to learn what has worked and not worked from a PPC perspective and to determine if PPC performance goals are realistic and achievable (or if they exist at all).
Funny thing is we’re not seeing users click on the extension itself very often – slightly more often than we’d see for sitelinks, but not by much – maybe 15 percent of total clicks, albeit not necessarily on the extension itself. It may be the way that we’ve set it up (we say chat with a live expert rather than text us), so that may have skewed the behavior.
The Java program is fairly intuitive, with easy-to-navigate tabs. Additionally, you can export any or all of the data into Excel for further analysis. So say you're using Optify, Moz, or RavenSEO to monitor your links or rankings for specific keywords -- you could simply create a .csv file from your spreadsheet, make a few adjustments for the proper formatting, and upload it to those tools.