This look at Facebook Fans values indicates how segments need to match to your business. The airline in this video found some of its fans were outside of the customer demographic it serves.
The video dovetails into a growing trend of having more fans than value – such as fake followers purchased for Twitter and Facebook accounts. That trend also plays an influential factor in big data as social media comments and mentions are correlated to predictive models. How much data cleansing becomes required if your sources do not relate to characteristics of interest? This video will give some thought to it, at least from the perspective of a Facebook Fanpage.
Enjoy, and be sure to comment at All Analytics in the YouTube page as well as here on this blog.
In June 2013, Facebook announced the addition of hashtags to its platform. Hashtags are words or phrases with the pound symbol # at the front of the word , such as #marketing, #lifeisbeautiful, and #follow. The hashtags render the words searchable within the Facebook news feed. This makes profile and fanpage posts containing the words discoverable, leading to potentially more visitors.
Google has also begun to permit hashtags to its Google Plus platform. The hashtags make posts discoverable to Google Plus users, leading to more connections.
Both Google Plus and Facebook, among other platforms, use hashtags similarly to that on Twitter. A hashtag such as #cars would feature tweets and links on the subject of automobiles. Twitter became more associated with “hashtag success” as TV programs begun to host twitterchats during program air time.
So hashtags do seem to impact the reach of a post. Inserting them into a few Facebook page posts can improved the reach of the post. I am not sure if engagement is increased. The likelihood of gaining followers is uncertain as well. While Facebook has improved the user interface for Facebook Insights, the metrics do not offer an opportunity to correlate a singular hashtag. Without a plan of hashtag usage, it can be confusing to really discern which hashtag is working.
Some ideas in using hashtags effectively:
Place up to four hashtags in a post so that readers can clearly see the tags. Keep ingthe number to a reasonable level (and consistent in multiple post) can help see to some extend i, and be reasonably consistent on topics.
Click on a hashtag to see who else is associated with the topic. Make sure the pages and persons revealed are
Facebook Users: Keep in mind that many Facebook readers have seen a hashtag when a Twitter post has been shared on Facebook, but may be uncomfortable with reading a ton of tags while reading a post. Be prepared to explain a hashtag if it is new.
Post less – let posts linger longer on a newsfeed. Many people discover posts even days later from a publication time. Moreover, every platform has a different algorithm, meaning hourly posts on a microblog (Twitter) does not translate well on major blogs (Facebook, Google Plus, even your own).
Thinking of an eCommerce business? Select a cart that makes digital analytic measurement easy to plan first!
I’ve made this chart of eCommerce shopping cart solutions available. Each offer different capability to integrate an analytics solution. Although some coding effort is needed in general, some solutions provide a plug-and-play capability. The chart includes a consideration of which kinds of banking/payment options are available, whether the sites include Facebook commerce option, and if analytics integration is available. Having these features in place makes sales easy to manage, and to permit an analytics tools to reveal when customers are dropping out of a cart…and not purchasing your product.
Many small businesses think of web analytics as search engine optimization, but that perspective is a partial view. Analytics encourages the organization of a digital presence for a business or an organization. These days such planning is important. It means providing speedy management of marketing content, be it online or off, such that a business can ultimately manage costs.
Some small businesses analyze results from a campaign effort – after a website is launched, a video is uploaded in YouTube, or a Facebook page is launched. This is an understandable step – many businesses see analytics in an application and treat the analysis as an audit. But the real work happens during the preliminary planning of a digital presence. This can consume some time, particularly now with so many options for a small business to choose. A business should review two aspects first before tweet or a site visit is measured.
1. What is the purpose of the website in the business model? Does it serve as an augment for offline marketing? Is it for sales through e-Commerce? Is it a way to deliver customer support through online chats and community hosting? Answering these questions will set the tone for what content should be on the site – images, downloads, and which pages should retain visitors for longer than a moment. Even trust badges can be influential (see my Business Agility post Building Trust Through Transparency). It will also lead to how a site and its subdomains are set. The end result is the arrangement of how a site should be tagged.
2. What marketing is planned? Thanks to QR codes and URL tagging, for example, small businesses can create marketing plans to anticipate how customers discover the company site, and ultimately the business itself. Experian, eMarketer, and other research firms have indicators that people tend to review products and services online prior to making a purchase. The ideas is establishing an reasonable assumption of how your business is exposed to leads and customers. An assumption may change overtime, but that is reasonable given that marketing materials can become outdated over time.
Once these two steps are addressed, a small business can begin to make reasonable adjustments to a marketing plan with few headaches and reduced expense. There are still some technical verifications needed, depending on the complexity of the site and tagging required – many large enterprises have a team on analytic experts to manage the effort. But for small businesses developing a plan and monitoring as it moves ahead makes any analytics information valuable.