June 3, 2015

Google wants your business to invest in community engagement

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Target audience: Marketing professionals, SEO specialists, PR pros, brand managers, businesses, nonprofits, educators, Web publishers, journalists.

Chris AbrahamSearch has changed dramatically in just a few short years. Google now severely penalizes sites that are buying links or are invested in private blog networks. Sites that have dominated search in the recent past are being penalized or de-indexed, going from the first page to page 20 or being removed completely, stripping many ecommerce sites of millions of dollars in revenue.

Let’s unpack some of the recent developments. Continue reading

February 14, 2013

Why you should cross-post by hand

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Why manually handling cross-posts keeps content in top form

Chris AbrahamWriting once and sharing many times is very compelling as is the sort of evergreen content that you can share repeatedly. There are exceptions, of course, but you should think twice about automatically sharing everything. Why? Well, cross-posting tools don’t make your cross-posts look as good as they could.

In this new world of Flipbook, Pinterest, and the new Google+, you need to make sure everything looks right: the correct photo or image (Facebook and Google+ allow you to cycle through the photos to find the perfect illustration), the correct post title (sometimes Facebook grabs an ugly title and you’re allowed to edit the title copy — though you cannot do that with G+), and the correct post description (both Google+ and Facebook allow you to delete or remove the description copy, though Facebook allows you to even edit the description copy.) Continue reading

July 26, 2011

Will auto-posting stunt the reach of your Facebook posts?

Manually posts may give your updates more traction

Deltina HayHave you ever wondered why some of your Facebook posts make it to your fans’ news feeds and others do not?

Facebook prioritizes posts using a method they call “EdgeRank.” Similar to Google PageRank, Facebook’s EdgeRank uses an algorithm that attempts to determine what Facebook users would most like to see in their news feeds. This, in turn, determines how likely your posts will show up in a fan’s feed.

There are three main elements to EdgeRank: Affinity, Weight, and Time as shown in the “formula” provided by Facebook below:

Where Affinity is based on how popular you are with a particular user, Weight is determined mostly by the type of post (video, photos, and links are weighted higher than status updates), and Time decay is simply based on the age of the post. Continue reading