2014 Brands Mobile Samples 
Devumi
JANUARY 2, 2015
The Best YouTube channels from brands in 2014 gave us plenty of great video content over the year. Here are six of the best Youtube channels from brands in 2104, along with exciting examples of the content they gave us during the year! Their most viewed video of the year was published in January of 2014.
Hootsuite
JUNE 25, 2019
In this example from Hallmark UK and Ireland’s Instagram account, the entry rules and deadline are clearly stated, and an on-brand image of the prize ties it all together. This example from Montreal-based shoe brand asks participants to tag three friends, increasing the odds of additional tags. View this post on Instagram. ????
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Writtent Blog
MARCH 7, 2014
Here is a sample Twitter message to use for outreach: Happy Monday! Here are a few examples on our blog – 21 Content Marketing Tools to Use in 2014 , and The Top 25 Must-Read Internet Marketing Blogs. Covers marketing, strategy, leadership, branding, technology, social media, mobility, and other topics.
Convince & Convert
JANUARY 6, 2016
As marketers, we usually prefer popular brands or companies (such as those in the food, digital, or retail sector) whenever we handle advertising campaigns. Ride-sharing app Sidecar did this in 2014 when they partnered with famous bloggers to create a one-of-a-kind experience for their customers.
Writtent Blog
MAY 20, 2021
Branded joint venture builders in Chennai, Land Joint Venture in Chennai The details pertaining to the builders legal right to sell a property are provided in the Original Title Deed. Promptly to ensure that might not mean and every agreement sample outlines the total loss. This template is free to download and use.
Little Web Giants
DECEMBER 10, 2014
They add to a site’s branding, and are pretty useful for tab junkies like me. I came across this very comprehensive blog post by David Ensinger from February 2014 in which he outlines his preferred icon stack markup , which includes favicons, iOS, Android and Windows 8 tiles.
SalesChoice
OCTOBER 4, 2016
Randomness is introduced by training each decision tree in the forest on a random sample for the entire input data set, and interjecting variables at random into each brand (decision) point of every tree in the forest, these types of methods reduce the classification errors to improve the predicted outcomes of ML methods.
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