“Most search-driven manual advertising campaigns (even those performed with professional tools) take into account three or four targets: the keyword, time of day, and location. Such tools like programmatic demand-side platforms can use hundreds of targeting signals to individualize the advertisement and even target according to lifestyle or behavior habits when integrated with customer data platforms.”
With the benefits of big data comes the need for companies to leverage this data better to “significantly simplify tasks that formerly could only be completed by data scientists.” More importantly, “This continued democratization will lead to new use cases that are closer to the needs of business users and will enable faster time-to-market for AI applications in the enterprise.”

Pay-Per-Click (PPC) Advertising: PPC advertising enables you to reach internet users on a number of digital platforms through paid ads. You can setup PPC campaigns on Google, Bing, Linkendin, Twitter, Pinterest, or Facebook and show your ads to people searching for terms related to your products or services. PPC campaigns can segment users based on their demographic characteristics (age, gender etc) or even their particular interests or location. The most popular PPC platforms are Google Ads and Facebook.
Also innovative ecommerce businesses have been leveraging predictive data, such as past purchase history, consumers preferences and click through behaviors to recommend new product and better personalized retail experience for their shoppers. No one does it better than the online retail giant, Amazon, where they can detect the time and your readiness to buy, then deliver highly targeted product recommendations via email or recently, via browser extension called “Amazon Assistant“.
Crawling: Every search engine has software, known as Crawler or Spider (in case of Google it is Googlebot), that crawls the webpage content. It is not possible for a crawler to see daily if any new page appeared or any existing page is updated, some crawlers may not visit a webpage for a month or two. In this connection, it should be important to remember what all a search engine can crawl: it cannot crawl image, Flash Movies, JavaScript, Frames, Password protected page, and directories. Therefore, if you have majority of these in your website, it would be better to run a keyword simulator test to see if these are viewable by the spider. Those that are not viewable are not spidered and not indexed or not processed. On the other hand, they will be missing for search engines.
#3 Marketing automation and email marketing - This is also a perennial feature in our top five and it's no surprise since, like content marketing, it's effective for both B2C and B2B marketing. While some more mature organizations will make improvements through use of AI, other less mature businesses will benefit from improving the relevance and timing of their emails through using rules-based automation and personalisation.
In 2020, shorter posts won’t get you anywhere – with Google or your audience. Typically, posts that are at least 3,000 words long attract the most traffic, as they offer readers an in-depth exploration of topics. Long-form content allows content creators to establish themselves as an expert on a subject and gives them more scope for targeting keywords.

Has Instagram taken the world by storm or what? What was a small niche little app until sometime back has today practically left Snapchat behind and is considered next only to facebook in terms of popularity. These courses are tailor made for social media marketers. While facebook ruled the scene for a long while, Instagram is where the focus is shifting now.

Working on a lot of content but not sure whether it is reaching your desired audience? Have a ecommerce website/mobile app and you want to optimize your operations for a greater ROI? This certification from Google will give you that Eureka moment! This video-format course is structured across 4 different modules: Digital Analytics Fundamentals, Google Analytics Platform Principles, Ecommerce Analytics and Mobile App Analytics Fundamentals. My only suggestion – Practice as you learn.
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