Landing Page Views vs Link Clicks

Facebook Ads: Optimize for Landing Page Views vs Link Clicks featured blog post image

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By Sarah Finegan on 23 Nov 2017

Landing Page Views vs Link Clicks

You cannot look through digital marketing today without coming through synthetic intelligence or device learning. It’s for an excellent reason too, as these brand-new technologies are altering the face of how when brands engage with audiences to provide their message. In the past, we’ve looked at how Google is utilizing device learning for smart targeting and audience development in AdWords. Not to be left out, Facebook is also on the charge and has actually included a choice to optimize for landing page views. This enables marketers to make use of the incredible power of Facebook’s artificial intelligence brain. Exactly what does that mean for your advertisement delivery, how does it work and what will the effect be on your overall strategy.

How Do Facebook Optimizations for Ad Shipment Work?

Facebook has lots of data on consumer behavior. The volumes of information they have actually been hugely valuable, but far too numerous for a human brain to make the many of. Maker knowing allows Facebook to unlock the incredible perspective held within all that data they have access to. But how does this aid with advertising?

One cool way Facebook uses machine learning is through their optimization of ad shipment. Through Facebook Pixels, the social media giant collects user behavior information after they leave the Facebook platform, providing higher insight into how the people that make-up audiences behave.

A popular choice has actually been optimizing for link clicks but Facebook just recently added a choice to optimize for landing page views.

Why Should You Optimize for Landing Page Views?

Facebook is now efficient in processing huge amounts of data and after that uses their knowledge to determine the ideal people who reveal comparable behaviors aligned to your campaign goals. When you optimize for page views, Facebook will find people who are most likely to click ads, visit websites and allow the landing page to fully fill. Efficiently, you are discovering specific sections within audiences, refining your targeting to individuals who will totally soak up the message you offer them.

There’s also another terrific need to optimize for page views.

Have you ever questioned why Facebook’s link clicks and your Google Analytics figures are frequently, if not constantly, different? When a prospective lead clicks your advertisement, Facebook records the click, but a lot still has to take place prior to your site loads and Google Analytics records consumer’s journey as a visit. The best-known example is sluggish filling pages which cause people to desert the session before your analytics fires.

Here’s exactly what took place when we tested a project while optimizing for landing page views.

How Optimizing for Page Views Carries Out

We released Facebook’s machine finding out power for a clothing brand. The test pitted 2 of Facebook’s device learning-powered optimizations versus each other; optimizing for page views and optimizing for link clicks.

With the test complete, optimizing for page views was the clear winner, producing a spectacular 630%more income and 400 % more deals that the link click equivalent. The specific factor behind this boost lies deep in Facebook’s use of information and artificial intelligence behind the scenes to pinpoint your campaign, but there are some assumptions we can make as to why this works. For instance, these people are especially patient clients, going to wait on a page to load totally. They are likewise seeing full pages and getting the full message you planned them to see.

The Wolfgang Essential Takeaway

At first sight, the distinction between optimizing for a click or a landing page view may be little however there are some key distinctions in between the two. Drawing on the power of machine learning and relying on the platform to discover appropriate individuals for our campaigns, we can now optimize for advanced user habits online, ensuring we deliver our message successfully and in its entirety.


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