What is PPC (pay-per-click) marketing? Pay-per-click marketing is a way of using search engine advertising to generate clicks to your website, rather than “earning” those clicks organically. You know those sponsored ads you often see at the top of Google’s search results page, marked with a yellow label? That’s pay-per-click advertising (specifically Google AdWords PPC, which we’ll talk about below).
That said, if you’ve never had to come up with a keyword strategy before, it might seem a bit daunting to generate a list of terms that will drive qualified search traffic to your website. Not to worry. Creating an effective keyword strategy—figuring out which terms you should create content for—isn’t hard. It just involves a little bit of reverse engineering and some research.

You can use this tool to get new ideas for paid search campaigns as well as ideas to drive organic traffic. One big advantage of the tool is it gives you historical statistics on past search volume, as well as predictions about the number of clicks and conversions. You can search for keyword ideas based on what makes sense for your products, services or other phrases you're trying to target. 
As UX designers, we should go out there and collect as much data as possible before building a real product. This data will help us to create a solid product that users will want to use, rather than a product we want or imagine. These kinds of products are more likely to succeed in the market. Competitive analysis is one of the ways to get this data and to create a user-friendly product.

Search engine advertising is one of the most popular forms of PPC. It allows advertisers to bid for ad placement in a search engine's sponsored links when someone searches on a keyword that is related to their business offering. For example, if we bid on the keyword “PPC software,” our ad might show up in the very top spot on the Google results page.
"We've been experimenting with Quora Ads in a few client accounts and have been intrigued by the (limited) results thus far. One of our clients, Dataquest, is an online platform for learning data science. Their marketing director approached us about Quora Ads a few months ago, and we decided to give it a shot. To be fair, we are still in the middle of the trial run, so the traffic is fairly low, but what we have seen come through is enough to get us excited about it as a new channel. 

People are no longer shocked to find elements of personalization embedded into various aspects of advertising, and in fact, have even come to expect it. Think about it this way: When it comes to marketing emails, which are you more likely to open and read—the one addressed to “Dear Customer” featuring generic copy on topics that aren’t relevant to you? Or are you more likely to engage with the email addressed to your name that includes links to blog posts relevant to the industry you work in, as well as items you might like based on your previous purchases? That’s right—you’re going to open and read the email that’s tailored to you.


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.

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. <<<
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