From Social Media ROI – Part 1 and Social Media ROI – Part 2, we saw different ways of calculating the Social Media ROI. In the third part, I am introducing a down-loadable Excel spread sheet (link at the bottom of this post) for calculating the Social Media ROI. The spread sheet is based on the following:
- Work that Charlene Li and Jeremiah Owyang of Forrester Research did in 2007 on the ROI of blogging.
- Work that Bill Johnston of Forum One has done for Online Community ROI.
- The remaining work is based on un-sourced research.
General comments
For this research, we identified 13 parameters that play a role in determining the ROI of Social Media. It is not necessary to include all parameters in a ROI calculation – pick the parameters that make sense.
The general idea is that for each parameter and calculation, we need to determine the offline cost. Then, comparing the offline cost with the estimated cost of gaining the same results (increased revenue, decreased cost, more customers etc) using online Social Media, we can determine the ROI (re-read post Social Media ROI – Part 2 for more info). Note that this spread sheet does not estimate the offline cost. If you, the reader, know these values, I will be happy to add them into the spreadsheet as additional calculations.
A few notes about the Social Media ROI spread sheet
- First, the walk-through is long so you might want to download the spread sheet first (the link is at the bottom of this post).
- The spread has two sections, a data input section (for entering data) and a results section (for viewing the results).
- Field colors
- Yellow fields are for input. The spread sheet is already filled with example data. As you work through the calculations, just erase the example data and add your own data.
- Blue fields are calculated output fields used in the results section
- Green fields are used both for input (like a yellow field) and in the results section (like a blue field). We use green fields where we enter a number that will be used in the results section but there are no additional calculations based on the entered number.
- White – a calculated field not used in the summary.
- The spread sheet calculates all number on a monthly basis.
So, let’s walk through the spread sheet
- Traffic (unique visitors) - the spread sheet allows for more than one market.
- You enter the total population of your market(s) and the % of that market you believe will register on your site. Then you enter the % of the registered users that will become active users (users that log in at least once a month). The active user base is normally about 25% of the registered user base.
- You now arrive at your total number of active users on the site.
- Now, estimate the cost of advertising to the same number of users in a similar content channel, on a monthly basis, and you have your ROI.
- Traffic (page views) - also used for ad revenue calculations below.
- Estimate the number of visits per active user per month, then estimate the number of page views per visit, and you arrive at number of page views per month.
- Use this number to estimate your brand visibility and cost for advertising in similar channels on a monthly basis.
- Ad revenue
- Take monthly page views from above, estimate % of monetized pages, and average CPM revenue, and you arrive at your monthly ad revenue (don’t forget to divide the page view with 1,000 because CPM is cost per thousand impressions).
- Note, in the spread sheet example, the ad revenue is not great. However, it is important for the ROI calculations to include that the Social Media can increase your revenue if you include ad revenue. On sites with more traffic and more homogeneous user base etc., the ad revenue becomes very healthy.
- Demographic data
- Each registered user is asked to add demographic data in a member profile. Based on this data, you can target your audience differently.
- Estimate the cost of gathering the same demographic data offline and you get your ROI.
- Search engine positioning
- This is a bit tougher – estimate a percentage of search results that will land on the first page of a search query driven by the social network.
- Now, estimate the cost of search engine optimization, AND the cost of paid search for getting the same search results. As you see, in this case we are not comparing to offline costs, instead we are comparing two different types of online costs; one driven directly by better keyword search and higher page rank (based on users linking to your site), and the other driven by paid SEO and paid search.
- Member value – ‘recommenders’ and ‘approvers’ user profiles.
- All users are not created equal. By company guidelines, some employees are only allowed to recommend a product purchase (eg workers, manager, directors), while other employees are allowed to approve product purchases (directors, VP-level and C-level). We call those ‘recommenders’ and ‘approvers’.
- In this case, enter a percentage of your user base that you estimate are allowed to recommend a purchase. The remaining number will be automatically calculated.
- Estimate the cost of getting these numbers offline, and you get your ROI.
- Note that the user base can be broken down much further than only two sections. You also might want to break down each market in different types of user profiles.
- Responsiveness to ads – based on a study by Media6, a consumer who is connected with a customer of the firm (“network neighbor”), is 2 – 30X more responsive to ads.
- Estimate the number of active users that are also a current customer of your firm. Then estimate the number of network neighbor that are non-customers (ensure you are not double counting) – I estimated 1.2, meaning that out of all connections (friends) that one current customer has, 20% are non-customers. I estimated a multiple of 5, meaning that a network neighbor is 5 times more likely to be response to an ad.
- The number you arrive at; I call “units of responsiveness.” The higher the number, the more responsive users are to purchase.
- Now, estimate finding the same number of units of responsiveness using off line channels, and you have your ROI.
- Trade media mentions
- Estimate the number of times the trade media will mention the product or company per month because of your social network.
- Estimate the cost of advertising in similar channels and you have your ROI.
- User mentions – Word of Mouth marketing
- Estimate the % of active users who will mention the product or company, per month, on average once (on average only one time) to someone who is not yet a customer.
- Based on the resulting number, estimate the cost of hiring a buzz agent that can generate similar result, and your have the ROI.
- User insights – unsolicited comments
- Again, users are not created equal. In this case, we break down users by the amount of content a user generates (UGC), and we do that by the 90-10-1 rule.
- Consumers of data (90% of active users) generate no content.
- Enrichers of data (10% of active users) enrich other user’s content.
- Creators of data (1% of active users) create own content.
- Yes, it does not add up to 100%, and also different social networks have different numbers. Other organizations define more user types, for instance Forrester define 6 user types.
- It really does not matter how you define it, as long as there is some distinction between users with respect to UGC.
- Then enter the number of insights you think an enricher and a creator generates a month. Note that you are not entering the number of contents that they generate, instead we are looking for the number of real and valuable insights.
- You now have an estimated number of insights generated by the community on a monthly basis. Estimate what an offline focus group would cost, per month, to generate the same type of insights (Charlene Li estimates $15,000/month or $180,000/year).
- Again, users are not created equal. In this case, we break down users by the amount of content a user generates (UGC), and we do that by the 90-10-1 rule.
- User insight – solicited comments
- Using the social network, we can generate polls and surveys to an engaged user community.
- Specify the number of polls and surveys per month, average number of questions, and the % of active user taking the poll, and also the % of answers that you estimate will give you beneficial insight. The result is the number of insights you will gain based on requested feedback from the user community.
- The number of insights can again (as with unsolicited comments) be used as a base for estimating the offline cost of using focus groups.
- Increased sales efficiency
- This is a tough one again. Compare the cost of selling to the same user group outside of the social network to selling to the same community inside the social network, and you should see increased sales efficiencies selling to the social network user group (see the above point about “responsiveness to ads”).
- Enter an estimated increase in sales efficiency. Based on current sales, use this percentage as a guide to calculate the total amount saved.
- Reduced impact from negative UGC
- By monitoring the social network, you will quicker find disgruntled users. Even if the negative UGC does not start on your social network, eventually your users will start chatting about it and you will quicker pick up on it, and can therefore quicker answer it and hopefully diffuse it.
- How do you quantify the reduced impact of negative UGC? Estimate a percentage that seems reasonable – it is a tough one again.
- Estimate the offline cost of reducing impact with the estimated number using the social network, and you should have your ROI.
Download the Social Media ROI Spreadsheet.
Two things before you download
- If you use the Social Media ROI spread sheet, please link back to this blog post and mention my name.
- If you change the Social Media ROI spread sheet, please email me the changed spread sheet together with a note describing the changes (my email address is in the right nav bar).
Posted by dagholmboe
Posted by dagholmboe
Posted by dagholmboe 