Geo-targeting in the most traditional sense uses IP addresses to figure out where users are. Every internet-connected device has a unique IP. It’s like an address for your computer, tablet, phone, or wearable. The first three digits provide a country code. The digits after that indicate specific areas within a country, down to state, city, and postal code. To learn more about the tech behind geo-targeting, geoedge.com is a good source.

If you want to become a better UX, interaction, visual (UI) or product designer, there are a lot of sources from which you can learn — articles, books, online courses. I often check the following few: Smashing Magazine, InVision blog, Interaction Design Foundation, NN Group and UX Mastery. These websites have a very good collection of articles on the topics of UI and UX design and UX research.

Take Coca Cola and Red Bull for example. They have massive marketing budgets, and the majority of that budget goes into branding and (I am guessing) very little attention is paid to determining the ROI of each individual activity they sponsor. They just know that the more they can build equity in their brand, the more products they will sell. The result? They are some of the most recognizable brands in the world. They are also extremely profitable at the end of the year – they just achieve that profitability differently than what we are used to seeing as direct response marketers.


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.
“Now that the “algos” are perfected, they can be used for accounts as small as 100$ monthly ad spend. While it’s difficult for the small guys to access machine learning on their own, agencies who are servicing SMBs should use tools like ours to manage, optimize and scale multiple accounts. Google Channel Partners, Publishers and Resellers that service hundreds of small-business PPC accounts benefit from our machine learning technology already.”

Your conclusion should be presented to other business stakeholders especially when you’ve decided the next steps. For example, you may alter your Product Roadmap as a result of the competitor analysis. Sales and marketing teams may benefit from summaries that contrast your product with key competitors and emphasise your product’s strengths so that they can take this message to market.
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?
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.
6. Use social media to help provide context for user intent. Another important keyword strategy is to align your social media efforts, especially the “listening” part, to help provide context to your targeted keywords. I have outlined a few ways in this column to infer user intent by keyword but to see the search term used in a tweet or blog will provide a much better context to user intent and usage. You can gauge user wants, needs, and sentiment that will help you as you construct your landing pages with keyword-relevant content.
Truly awesome stuff Zee! For those involved in doing competitive analysis for Local SEO, I would also add GMB Completion/Optimization, and NAP Profile Quantitiy/Quality (which can be checked via MozLocal and Majestic SEO). The conversion part of your analysis that you laid out is especially important in my opinion. Thank you for writing and sharing your insight!
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