GetResponse study on impact of social sharing features in emails shows 30% increase in CTRs



Many brands overcomplicate their measurement requirements by tracking dozens of independent variables. Many oversimplify by trying to apply a single number concept of value, and far too many fail to quantify ROI in such a way as to convince a CFO of the merit of increasing or shifting investment towards Facebook marketing. [...] This study will examine the five leading contributors to Facebook fan value. (1) Product Spending (2) Brand Loyalty, (3) Propensity to Recommend, (4) Brand Affinity and (5) Earned Media Value.
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For all of you online analysts out there that are scared of cookie deletion rates, private browsing modes and increasingly restrictive privacy laws, there's hope!
The EFF (Electronic Frontier Foundation) has an interesting project called Panopticlick that determines uniqueness of visitors without cookies by analysing the exact browser configuration of a person (i.e. version, fonts, plug-ins, etc). I just did the Panopticlick online browser uniqueness test and it seems that my browser configuration was unique among the so far tested 993,912 people. Go do the test now and help these guys increase their sample size.
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People have different levels of expertise on various subjects. When it comes to marketing, however, this fact is generally ignored. Marketing services actively search for potential influencers to promote various items. These influencers range from “cool” teenagers, local opinion lead- ers, all the way to popular public figures. However, the advertised items are often far outside the domain of expertise of these hired individuals. So how effective are these mar- keting strategies? Can a person’s influence in one area be transferred to other areas? The answer is yes.
Our study provides several findings that have direct implications in the design of social media and viral marketing: 1) Analysis of the three influence measures provides a better understanding of the different roles users play in social media. Indegree represents popularity of a user; retweets represent the content value of one’s tweets; and mentions represent the name value of a user. Hence, the top users based on the three measures have little overlap. 2) Our finding on how influence varies across topics could serve as a useful test for answering how effective adver- tisement in Twitter would be if one is to employ influential users. Our analysis shows that most influential users hold significant influence over a variety of topics. 3) Ordinary users can gain influence by focusing on a single topic and posting creative and insightful tweets that are perceived as valuable by others, as opposed to simply conversing with others.
The most followed users span a wide variety of public figures and news sources. They were news sources (CNN, New York Times), politicians (Barack Obama), athletes (Shaquille O’Neal), as well as celebrities like actors, writers, musicians, and models (Ashton Kutcher, Britney Spears). As the list suggests, indegree measure is useful when we want to identify users who get lots of at- tention from their audience through one-on-one interactions, i.e., the audience is directly connected to influentials.
The most retweeted users were content aggregation services (Mashable, TwitterTips, TweetMeme), businessmen (Guy Kawasaki), and news sites (The New York Times, The Onion). They are trackers of trending topic and knowledge- able people in different fields, whom other users decide to retweet. Unlike indegree, retweets represent influence of a user beyond one’s one-to-one interaction domain; popular tweets could propagate multiple hops away from the source before they are retweeted throughout the network. Further- more, because of the tight connection between users as sug- gested in the triadic closure (Granovetter 1973), retweeting in a social network can serve as a powerful tool to reinforce a message—for instance, the probability of adopting an in- novation increases when not one but a group of users repeat the same message (Watts and Dodds 2007).
The most mentioned users were mostly celebrities. Ordinary users showed a great passion for celebrities, regularly posting messages to them or mentioning them, without nec- essarily retweeting their posts. This indicates that celebrities are often in the center of public attention and celebrity gossip is a popular activity among Twitter users.
Finally, we found that influence is not gained spontaneously or accidentally, but through concerted effort. In order to gain and maintain influence, users need to keep great personal involvement.
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There's a new study from the think tank Technology Policy Institute which concludes that new online privacy measures won't help consumers but hinder online companies.
"Regulation should be undertaken only if a market is not functioning properly and if the benefits of new measures outweigh their costs," states the 56-page report, "In Defense of Data." "Our analysis suggests that proposals to restrict the amount of information available would not yield net benefits for consumers."
The paper pretty much reiterates known statements from a decade ago but it's a good summary anyway. Have a read and please comment on this post or at least participate in the poll, would love to know what you think about behavioural targeting online.
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Whether by receiving marketing e-mails, searching for products online, or using mobile devices to find retail coupons, customers today continually interact with brands as they move closer to making purchasing decisions. Yet completely different parts of an organization manage most such contacts. Digital channels can unify that experience and prevent the leakage of opportunity. Across a range of B2C and B2B clients, we’ve seen companies accelerate revenue growth by tightening the coordination of the end-to-end experience (see below graph). These increases represent the cumulative impact of capturing more online traffic, engaging consumers effectively, raising sales conversion rates, and then deepening bonds with the brand after sales are made.
Although not the only options in this space, Omniture's Online Business Optimisation platform in combination with Aprimo's MarketingStudio could help coordinate the majority of the below customer experience outlined by McKinsey. Email us at insights@datalicious.com if you would like to find out how to enable this for your business.
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The debate around whether display influences search behaviour or not has been going on for a while but I don't think anyone really doubts the impact on search anymore, the question is how much. So it's nice to see some research on how this differs by vertical. The below Eyeblaster graph shows the share of search and display conversions by vertical.
Interesting to see would be how the impact of display on search behaviour differs depending on the brand awareness in market for a particular brand. Datalicious client research indicates that the weaker the brand awareness in market for a particular brand, the stronger the impact of display advertising on search behaviour and conversions.
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Must read for whoever tries to use Twitter as a media channel. Check out the original article below, contains some amazing hints (but take with a grain of salt).
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Finally someone provides benchmarks research on display banner performance again (after DoubleClick stopped it ages ago), thanks Eyeblaster!
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