Images: Even though search engines don’t really see images, you can still use them as part of your keyword strategy. First, make sure they are relevant to your page content, and add to the overall user experience. For search engines, use the alt attribute to help crawlers "see" what an image is about. The alt attribute is a part of the image HTML tag that is used by search engines, text-only browsers and screen readers to “see” an image. Use your keywords in the alt text, but be sure to do so naturally. Stuffing alt attributes full of keywords and synonyms will make your page look like spam and do more harm than good.
Small businesses typically don’t have the budget or the amount of data necessary to take advantage of the benefits machine learning offers PPC marketers. If they’re not using a marketing agency to manage PPC that gives them access to machine learning optimization, they can also sign up directly. Acquisio’s Promote product was designed for small business owners to use with a monthly subscription model, simplifying ad creation and set up while allowing ad spend amounts as low as $100 using machine learning optimization. They explain in a past post about the small-business-machine-learning conundrum.
Every business can benefit from attracting higher value customers. Whether you’re a real estate company looking for high net worth individuals looking to buy property or a B2B SaaS company looking for a higher average revenue per user (ARPU), attracting customers who will pay you more than others is a powerful way to amplify the growth of your business.
With a clear understanding of our objectives and audience, we can now determine how we want to target our prospects across the AdWords network. There are multiple targeting options available, from location to demographics and display ads to video ads. The trick is to tailor your adverts to deliver the best results based on how your users browse the web. This chapter provides you with the primary elements required to accurately target your campaign.
This section serves as a summary and analysis for all of the research you've done so far. You'll review all the aspects of your competition's business and determine whether they are strengths or weaknesses. List their strengths and advantages under "Strengths" in the worksheet. Note down how equipped you are to deal with these strengths. Can you do better than them or would it serve you better to outdo them elsewhere?
Using negative keywords in PPC campaigns is an often overlooked but highly effective strategy. These are keywords that you add to your campaign that you don’t want to target. Adding negative keywords will let Google know that it should not show your campaigns in searches that include these words. This is a crucial step in order to make sure that you don’t waste money by displaying your ad for irrelevant searches.
SpyFu displays side-by-side data on your competitors' paid and organic search results, so you can easily see where it's more cost-effective to bid on a particular keyword as opposed to trying to rank for it organically. That way you can use your time more efficiently by writing content around those keywords that drive a lot of traffic but are more expensive to bid on.
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.
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.
City advertising by advertising on web sites with extensive content related to particular cities. Such web sites can connect large city audiences with products/services for sale in those cities. Surfers searching for information about particular cities find adverts at such web sites as a result of city name related searches rather than product/service keyword searches. In this way businesses, e.g. shops, restaurants, can advertise and reach out to consumers located in the real-world localities of their product/service offerings.
Do they have separate marketing messages for different segments? Sometimes, you might see a stark difference between how your competitor markets their business for one type of customer versus how they present themselves to another type of customer. For example, if you're trying to sell services as a math tutor to high school students who are struggling to pass their math subjects, you'll be making a completely different pitch than you would to those students who need additional help with their SAT math so that they could get into prestigious universities. Your message to the struggling students might be closer to "I'll help you finally pass your math tests!" While your message to the other market will be similar to "I'll help you get into the school of your dreams!" Also, be sure to note if your competitor does something similar with their own customer segments.
Export the weighted list back to your spreadsheet and combine it with the others in Excel. Then use the data tools to sort the list by ‘Priority’ – this is a score based on the difficulty, traffic, opportunity and your score. This tells you which keywords you should be targeting in descending order of attractiveness. Suddenly, you’ve turned more than 1,000 keywords into a usable list of a few dozen. Using the same example for wines:
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. <<<