Tag: Web 2.0 ROI

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Where Are We?

In our mini-van, yes I know I just lost major street-cred by referencing the fact that my wife and I do in-fact own a min-van, but it’s a fully loaded mini-van thank you very much!!! We have built-in navigation and DVD systems for the kids.

Now instead of actually paying attention to where I am going, I am mindlessly following the directions given to me by the authoritative female voice and glowing maps. As my brain wanders, thinking about parenting, profitability and ROI analysis, Xbox 360 gaming and what’s for dinner, I realize that if we suddenly lost power to the nav system I would have no idea how to find where I am going.

Thinking about this and the High-Tech industry in general and reading Geoffrey Moore’s Crossing the Chasm I began to think about the importance of not only understanding where you are going but more importantly how are you going to get there.

We at Telligent are at a crossroads. We are almost upon the transition from the Innovators and Early Adopters to the pragmatic Early Majority in terms of product adoption. Marketers are good at identifying fads and even better at exploiting trends. We are currently in the middle of a major trend which is the collaborative boom of Web 2.0 solutions. And Telligent is definitely on the forefront of providing the needs to those Innovators and Early Adopters. With success implementing solutions and providing Community Server to organizations such as: Disney, MSNBC, Dell, Microsoft, Electronic Arts, Intel, Mazda, Honda, Adidas, Lego, etc… We have laid the foundation to successfully cross over to the upcoming Early Majority.

But the Early Majority requires different messaging and they are less concerned with the technology and more concerned with ease of use, support and referrals from others in the Early Majority. This is one of the key areas where High-Tech companies fail. They see the growth in sales between Innovators and Early Adopters and they ramp up their teams and expect big revenue numbers to continue to spike, what they do not count on is the potential marketing pitfall that occurs between the Early Adopters and the Early Majority.

The Early Majority is a very important segment during the product adoption life-cycle. If you catch the wave between Early Adopters to the Early Majority this is where true success starts to materialize.

What we are seeing from organizations is that the Early Adopters were looking for an edge on the competition and now they have found a way to leverage collaborative solutions and engrain them into their marketing strategy. Now the Early Majority is taking note of the trend and patiently waiting to see what best practices arise.

The one thing to keep in mind in all of this is that it is not always the best product that gets selected by the Early Majority, it is normally the products that can market themselves in such a way and are continuous in their innovation that they speak directly to the needs of the Early Majority and are not as disruptive as the competition that they in turn cash in with market share. We at Telligent have the premier collaborative solution in Community Server. The next step is ensuring that we speak to the Early Majority and let them know exactly why it is the best. The rest will take care of itself.

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Community ROI

Changes have been in the works over the past few years, dramatic changes and challenges are beginning to have an effect on traditional business. You look at software as a service (SaaS), service oriented architecture, and especially Web 2.0 and how organizations are trying to define new strategies. From my perspective, I focus a lot of time around discussing Web 2.0 and the value to traditional business. 

Some of the common questions that are raised are: how do I calculate ROI around community? What are the contributing factors? How do I know that it is truly beneficial for me to have a community vs. not having one? The most common mistake when calculating ROI around community is to focus solely on the activity of the community. Things like unique visitors, page views, session time, community click throughs, read-to-post ratios, are all very useful in defining the health of a community, but they alone do not translate into a tangible business value that you can hang your hat on. When reviewing ROI you have to look at economic indicators such as the incremental value of the community and conversion rates.

Incremental Value is the difference between the value created by a business with an online community and the estimated value that the business would generate in the absence of community. There are a few guidelines that serve as baseline factors when calculating ROI. Research shows that Community members make up only 5% of the overall customer base, but this group accounts for 30% of the purchases and average transaction size is twice as large for community members as for non-community members. One of the biggest factors in calculating Incremental value is the referral factor. Community members are twice as likely to refer others to the site and the retention rates are 50% longer for community members than for non-community members.

With that in mind I began the process of creating a formula that took into consideration variables such as Advertising Dollars, Potential Market, Current Market Over Time and Direct and Indirect Growth to both Community and Non-community Members as well as accounting for retention and Word of Mouth. The end result is the following:

(A+(Nt/M) (b)) (M-Nt) = Community Member
(A’+(Nt‘/M’) (b’)) (M’-Nt‘) = Non-Community Member

Here are the variables
A= Advertising Dollars
M=Potential Market
Nt=Current Market over time
b= Direct Growth + Indirect Growth (CMs)
b’= Direct Growth + Indirect Growth (NCM)
r = Retention = 10% or .1
w= Word of Mouth Referral = 5% or .05
c= Content = 5% or .05

b = referral + 2(.005) = r + 0.0115
b’ = referral + (.005) = r + 0.01/2

So with this in mind you can look at this practical example:

Nt/M (M-Nt)

Nt= 10,000
M= 1,000,000

10,000/1,000,000 (b) (1,000,000 – 10,000)
b/10 (990,000)                                           

b=.1 + 2(.05) + .05 = .25                             b= r + 2w + c
b’= .1/2 + .05 = .1                                       b’ = r/2 + w

CM (10K, 1,000K) = (.25)(99,000) + 10,000 = 34,750
NCM (10K, 1,000K) = .1(99,000) + 10,000 = 19,900

Thus based on the criteria referenced above, having a community will yield a 74% increase over time as compared to not having a community based on the sample size.

In future posts I will look at another example of ROI calculation based on the average value of a Non-Community Member compared to the value of a Community Member. This will focus on monetizing the community and assumes a product based community. This requires an understanding of the average transaction per customer, total customers (projected or actual), potential market and the current conversion rates of the product. I will also review how Subject Matter Experts and Word of Mouth is calculated to come up with the 5% referenced above.

 

 

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