Social Media Metrics: A Short Guide to Making Sense Of What Can Be A Big Mess.

The Business Dictionary defines metrics as standards of measurement by which efficiency, performance, or progress can be assessed. In social media marketing the numbers behind social media efforts are very important. Yet, many get overwhelmed with amount of data and options of what can be collected and where. In this post I will cover the basics of collecting social media data, tracking social media metrics and identifying KPIs (key performance indicators). I also include a template to make sense of it all and link social media actions to business goals and marketing objectives for social measurement and optimization.

Click here for an updated version of this article and template.

First, we will take a quick look at some of the detailed social media metrics top social channels offer through their own analytics. Sprout Social provides a nice survey of the social media metrics that matter to marketers. They detail the comprehensive stats you can get from Facebook, Twitter, LinkedIn and Pinterest. I have added Instagram and YouTube as additional examples.

Social Media Channel Specific Metrics:

Facebook Insights offers metrics on page posts such as likes (unlikes, organic likes, paid likes), reach, engagement, engagement rate, impressions, and demographic information for fans, plus additional people you have engaged with and reached. There are also detailed video stats including views for 3 seconds, 30 seconds or 95% of total video length.

Twitter Analytics offers similar metrics including total tweets, tweet impressions, profile visits, mentions, followers, tweets linking to you, engagement rate, link clicks, retweets, likes and replies. It provides demographic, lifestyle, consumer behavior and mobile information about followers.

LinkedIn Analytics provides metrics on post performance with metrics like impressions, clicks, interactions, followers, views, unique visitors and engagement. They include details on visitor demographics on business focused variables such as seniority, industry, company size and function.

Pinterest Analytics delivers metrics for profile impressions, daily viewers, pins, repins, clicks and favorites. In addition Pinterest provides demographic and interests insights for pin viewers.

Instagram Insights promises tracking metrics like top posts, reach, impressions and engagement data. It also delivers demographic data on followers such as gender, age and location.

YouTube Analytics provides data in different reports such as subscribers, subscriber status, traffic, traffic sources, views, watch time, earnings, likes, dislikes, comments, shares, favorites, devices, audience retention and organic versus paid traffic. YouTube also offers demographic information on viewers such as location, age and gender.

These are just six of the top social media channels. Other social channels offer their own version of metrics you can obtain along with many third party software tools. New ones include Yelp Metrics and Foursquare Attribution. For a list of over 50 top social media channels by category visit my post Social Media Update. All these options can be overwhelming and many marketers can easily get bogged down and distracted by the minutia of dozens of metrics and reports for each social channel.

Linking Channel Metrics to Marketing Objectives:

The key to making all this data more usable and actionable is understanding the bigger picture as it relates to your unique business goals and then linking the specific metrics for each channel as KPIs to marketing objectives. I have created the Social Media Metrics Template below to help organize and visualize how specific social media channel data and business/marketing objectives come together to measure the success of social media marketing efforts.

In this template you want to first go back and identify broader business goals making sure marketing objectives are quantified and time bound. A start up or business with a new product/service may be focused on building awareness among a certain target audience (views, reach, impressions, demographic data, etc.). Another company or organization may have issues with reputation and are looking to change perception (negative to positive sentiment). Or perhaps the business needs to drive leads or online sales (traffic sources, conversion pages, etc.). Maybe a brand needs to focus on retention of existing customers for continued sales and recruiting new customers via word-of-mouth (likes, comments, shares, etc.). An organization can also have all these objectives and more as long as they are quantified and assigned unique KPIs for each social channel.

A big help with linking social activity to business goals and ultimately proving ROI is integrating Google Analytics on websites with social media. The new Google Analytics Social Reports are especially useful in breaking down social traffic to know how and which social media marketing is working. The Social Conversions report shows which social networks lead to website conversions. Conversions can be anything from a direct sale to a download, an email subscription, event registration, quote requests, etc. Setting up Google Analytics goals with specific dollar values per conversion will show dollar values per social channel. This helps determine where to focus time and money beyond followers and engagement and connects social media to the bottom line.

Using social media monitoring, publishing and analytics tools such as Hootsuite, HubSpot, Radian 6/SalesForce, Sysomos, NUVI, Crimson Hexagon, or other tools like SocialMention, TrueSocialMetrics, Sprout, or Buffer can help you track and organize all these social metrics. Visit my Social Media Tools & Resources page for a more comprehensive list of options.

Social Media Metrics Categories:

For a broader look at metrics Buffer Social  boils it down to the stats that matter in key social media metrics categories. One option comes from Jay Baer of Convince & Convert. He suggests four categories of social media metrics to measure success of content marketing efforts.

  1. Consumption metrics are how many people viewed, downloaded, or listened to social media content.
  2. Sharing metrics measure how relevant the social content is and how often is it shared with others.
  3. Lead-gen metrics measure how often social media content consumption results in a lead.
  4. Sales metrics measure if money was made from social media content.

The last category is often the most important, but marketers have known for decades that not all marketing action is directly attributable to sales. Traditional media advertising such as TV/radio ads, billboards or magazine and newspaper ads are seen as valuable contributors to metrics such as awareness, opinion, or recall, but don’t always lead to a direct traceable sales action. These contributions are often expressed in traditional marketing with the sales or purchase funnel. Here each category of marketing effort is seen as a valuable contributor to the progression of an important stage in the purchase process. You can think of these social media metric categories in a similar way – each is important and leads to the others.

Buffer Social’s article also points out another option first proposed by Google Co-Founder Aninash Kauskih in 2011. He suggests the following consistent social media metrics categories across all social channels.

  1. Conversation rate is the number of conversations per social media post and channel. KPI’s are different per channel. For example, on Facebook and LinkedIn it is comments and on Twitter it is replies.
  2. Amplification rate measures the number of shares per social media post and channel. Again KPIs are channel specific such as reshares for Facebook, retweets for Twitter and repins for Pinterest.
  3. Applause rate accounts for the various ways users can promote a post on different networks. KPIs vary per channel from likes on Facebook and +1s on Google+ to hearts on Instagram.
  4. Economic value is the sum of short-term revenue, long-term revenue, and cost savings. Here Aninash brings it all back to Google Analytics with a KPI such as Per Visit Goal Values. This can then be linked to source visits by social channel.

The number of social media channels, each channel’s unique metrics and social media monitoring and analtics options can be overwhelming. But if you take a step back and look at broader business goals, tie specific metrics (KPIs) to each marketing objective and then find the right tools to collect and monitor that data it becomes much more manageable and actionable.

To consider the bigger picture in measurement see Why You Need A Social Media Measurement Plan And How To Create One. To consider the bigger picture in social media marketing Ask These Questions To Ensure You Have The Right Strategy.

Big Data Hype: Don’t Forget The Big Idea.

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Big data is very valuable, but it can’t do everything. The numbers can only take you so far. Even as big data gets even bigger, don’t forget the value of big ideas based on true human insight and how they can be what really drives social media content and engagement.

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Big Ideas, Big Results.

On Business 2 Community, author Jason Bowden stated that: Digital marketing professionals declare big data as the next BIG thing in digital marketing … there’s no way of stopping the surge of big data explosion upon the emergence of better online marketing analytic tools, mobile marketing schemes, internet technology and social media platforms.”

I completely agree with this sentiment. A Google search of the term “Big Data” reveals 787 million results. In contrast, the search term “Big Idea” reveals only 335 million results. Is big data really deserving of nearly 50% more of our attention?

Big data is defined as extremely large data sets that may be analyzed, computationally, to reveal patterns, trends, and associations, especially relating to human behavior and interactions. Big data requires new tools to handle the amount and complexity of data, but with investment comes valuable insight. On the other hand, a big idea is the driving, unifying force behind a brand’s marketing efforts. Big ideas are also valuable. In a piece for Entrepreneur, Chris Wirthwein stated that big ideas provide ten valuable qualities: transformation, ownability, simplicity, originality, surprise, magnetism, infectiousness, contagiousness, egocentricity, and likability.

I’m not advocating replacing big data with big ideas. In a recent survey more than three out of five companies (62 percent) have started investing in data marketing solutions. And almost half of brands (47 percent) are already seeing a positive return on data-related investments. What I am advocating is that in all the excitement over computer generated big data do not leave the human generated ideas and creativity behind. Big data cannot generate a big idea and big ideas can generate real feelings, big movements and real big results.

When Big Data Meets Big Creativity.

At the recent Advertising Week gathering of marketing communication professionals some professed this same sentiment. In a panel called “When Big Data Met Big Creativity” advertising agency executives were adamant that creativity goes hand-in-hand with data and should complement each other. Tham Khai Meng, worldwide chief creative officer and chairman of Ogilvy, cited the Dove “Campaign for Real Beauty,” campaign as an example. The campaign won many creative awards and produced amazing business results but grew out of single data point: Only 4% of women considered themselves beautiful. Meng said: Data is the orchestra, creative is the music. You need both.” John Hegarty, founder of Bartle Bogle Hegarity, said that data provides insights, but warned that: Human beings are not a collection of algorithms.”

What Does A Big Idea Look Like?

Proctor & Gamble is the global package goods company that has built enormous brands based on enormous amounts of traditional and digital research data. Yet, even they know the value of big ideas. In 2012 they needed a global campaign to help reverse the brand Fabreze’s sales decline. Research pointed them in the right direction, but the big leap came in a big idea based on a globally relevant universal human truth – something big data could not spit out of a data set. The big idea was to “Involve real people in visceral experiences to prove Febreze makes even the filthiest places smell nice, no matter what they look like.“ You can view how the campaign was set up in this behind the scenes YouTube video.

What were the results? It won an Effie award that explains how the effort reversed Febreze’s sales trend, by increasing sales by 10% with 10 weeks of growth resulting in a 36% point turnaround. The Breathe Happy Campaign also received 511MM earned media impressions in high profile media publications and many bloggers developed rich content with their own Febreze experiment videos uploaded to YouTube. 
In addition, Febreze Facebook fans increased from 235k to 600k in 6 months.

In the end computer data and human ideas produced real business results. What’s your view on the value of big data and big ideas?

This blog post originally appeared on Social Media Today here.