A lot goes into building a winning PPC campaign: from researching and selecting the right keywords, to organizing those keywords into well-organized campaigns and ad groups, to setting up PPC landing pages that are optimized for conversions. Search engines reward advertisers who can create relevant, intelligently targeted pay-per-click campaigns by charging them less for ad clicks. If your ads and landing pages are useful and satisfying to users, Google charges you less per click, leading to higher profits for your business. So if you want to start using PPC, it’s important to learn how to do it right.
Competitive analysis is an exercise of comparing your business, product, and service to companies and finding similarities and differences. The most critical part of kicking off a competitive analysis is choosing the right competitors to analyze. Otherwise, you will spend tons of time on competitive research with very limited insight to show for it. In other words, the competitors you select determines how you will perceive your company and the final analysis.
Once your campaign is established you must review the analytics data and look for ways to optimise the campaign. Setting clear goals and measurements are absolutely critical to allow the campaign to be reviewed against each stated goal, in which you will consider ad performance, keyword performance, ad placement performance, campaign structure, and campaign targeting. This chapter highlights how to analyse and optimise your PPC campaign for success.
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.
Still in the early phase of rollout, Store Visits is being added to the Adwords Estimated Conversion tool in order to track in-store visits directly from your AdWords account. According to a recent Google study, 32% of offline customers said that location-based search ads led them to visit a store or make a purchase. For businesses with physical stores, this tool could really help to show how your PPC ads are affecting your overall bottom line and marketing initiatives. To be eligible for the feature you must meet the following criteria:
This analysis should help you holistically identify areas of opportunity available in your search landscape, without having to guess which “best practice” you should test next. Once you’ve started this competitive analysis, trends among the competition will emerge, and expose niches where your site can improve and potentially outpace your competition.
“The sales cycle is an average of 9-12 months. When a qualified lead enters the funnel, the revenue generated from that lead is an unknown variable that will not be fully identified until several months into the cycle. In order to increase the probability of a PPC lead turning into a viable source of revenue we need to generate leads at a ratio of high ratio of sales quality leads to conversions (roughly 65%). We will continue to test new targeting in order to reach our 20% YoY growth goal at a reasonable average CPA in order to continually grow the account and keep the sales funnel full every month.”
Page Content: The days of minimum keyword density are gone. The number of times you use a keyword is really determined by the length of your content. If you are creating unique, quality content your will naturally use your keyword throughout your page. Sprinkle latent semantic keywords throughout your content to strengthen the page’s topical relevance.
Putting each competitor in the right list is a very important part of competitive analysis because the features and functionality in your competitors’ apps are based on exactly what users of those apps want. Let’s assume you put one indirect competitor, XYZ, under the “direct competitors” list and start doing your analysis. While doing the research, you might find some impressive feature in XYZ’s app and decide to add a similar feature in your own app; then, later it turns out that the feature you added is not useful for the users you are targeting. You might end up wasting a lot of energy, time and money building something that is not at all useful. So, be careful when sorting your competitors.
Understanding which websites already rank for your keyword gives you valuable insight into the competition, and also how hard it will be to rank for the given term. Are there search advertisements running along the top and right-hand side of the organic results? Typically, many search ads means a high-value keyword, and multiple search ads above the organic results often means a highly lucrative and directly conversion-prone keyword.
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>