I just finished reading “The Black Swan”, a book that has been on my list since it came out in 2007 and I highly recommend it, though it is not easy reading. There is a great deal of set up before you get to the whole point of the book in the last 50 pages.
“The Black Swan” is about uncertainty in the real world and the subtitle explains it all: “The Impact of the Highly Improbable” and it is something that I can see affecting CRM and its users on many levels. Highly improbable things happen frequently and they have deep and unpredictable impacts on our world.
Uncertainty is related to risk and randomness, and while we lay people might lump all of them into the same definition, they are different. My understanding of the three is that risk is something to which you can attach a probability like a coin toss landing heads (50/50 or .5). Randomness is less constrained than risk if only because it is too complex to compute — if we flip one hundred coins we might reasonably expect half of them to land heads but we can’t say which ones. Uncertainty is a condition or event that will surprise us, one that is not on the radar. A blue bird, sometimes called an unknown unknown.
The blue bird interests me most and is an important factor for CRM. I have been trying to get my head around some data that I collected earlier this year about sales and forecasting that seems to relate to this. As you might recall, the data showed that the vast majority of sales forecasts (better than 90% of them) are worthless. They are so inaccurate that they can make a coin toss look like the model of precision.
My question: Is this the best we can expect or are there things we might do to improve our forecasts by reducing uncertainty?
The data also show that most sales managers engage in a process of downloading forecasts to spreadsheets in which they massage the data with the intention of improving it. If the dismal forecasting results are the product of an improvement process, it can only suggest that the starting point data is no better (remember GIGO).
All this evidence notwithstanding companies continue to make money more often than not and sales people manage to sell things. And according to Jim Dickey and Barry Trailer nearly sixty percent of them make quota. How can this be? How can we be so profoundly bad at sales forecasting and still manage to sell things?
First, though there is a great deal of uncertainty in sales forecasting, uncertainty is a two-way street. Deals come in that were not forecasted or perhaps not even known about — so-called blue birds — and some deals that appear to be a lock simply evaporate. Anyone who has tried to sell — and forecast — knows this.
Customers do rational things for emotional reasons, the saying goes and the irony to me is that at precisely the moment when we need the customer to act emotionally — to buy a product — we expect that customer to act rationally. If you doubt this then how can you explain attaching a probability to an otherwise emotional decision. It’s not wise to do that so if you are going to forecast using a probability of close, then you have to assume a set of rational expectations. In other words, if we have been through a sales process with the customer — understood the business problem demonstrated how our solution solves the problem and asked for the order — we expect the logical conclusion, a purchase order.
But while the situation might look certain or at least logical to us, we have little or no visibility into the similar process being conducted by our competitors and there lies a great source of uncertainty.
What can be done?
As mentioned above with GIGO, we need to acknowledge that the way we are forecasting is not working; in other words, stop digging the hole we have gotten into. There’s too much uncertainty in a forecast to believe the numbers we generate.
But stopping the excavation will not solve the problem; it will simply prevent the hole from getting deeper. As sales people we can try to eliminate some of the uncertainty in our deals but by definition, we can’t do that. We don’t know what we don’t know. Even if we know everything our competition says and does we have no visibility into whether the stock market will crater the day before we expect the P.O. There is always something.
Nonetheless, a company’s sales usually fluctuate around a level that is near to the level of the goal — few sales teams in aggregate hit the ball out of the park and few get shut out. Uncertainty makes sales a numbers game meaning the more irons you have in the fire the more opportunities you have and the better insulated you are against risk. Notice I said risk and not uncertainty. More opportunities reduce the importance of a single opportunity because there are many ways to make your number, that’s risk. But there is nothing that will insulate your forecast from the remote (we hope) possibility of the stock market cratering or flu breaking out in your customer’s headquarters.
If sales really is a numbers game then it makes sense to have systems that can help you manage big numbers of everything — opportunities, deals you know. More important, it is also essential that we have ways to get as many good opportunities into a pipeline as possible.
For years, we’ve had a discussion about the efficacy of SFA — is it good, is it worth the effort, isn’t it just a management tool? Ironically, there are still companies out there that believe they are too small for SFA or that it doesn’t work. In a few years it will be the same stories with social CRM and by then the companies that failed to adopt SFA will be completely out of business.
Truth is, we need both these days. We need SFA to manage our large data sets and we need social CRM to help us take uncertainty out of deals. If we never use an outbound social CRM tool such as a blog or micro-blog or networking site we would be fine as long as we had some exposure to tools that help us know what customers think in aggregate. For me that’s where the power of social CRM is, it’s in helping us reduce uncertainty by that radical idea of asking customers what they think.












Tracking the trackers
April 22, 2009 · Leave a Comment
I have been remiss in not paying enough attention to social media monitoring software. I suppose it’s understandable given that social media is at the margin of CRM—moving to the center, but still in the outer shell—and monitoring software is somewhere beyond that orbit in the software equivalent of the Kuiper belt. Maybe it’s time to pay a little attention there because monitoring software can be a big addition to your marketing strategy, and much of it is free.
First, what is it? Social media monitoring software is a class of applications, delivered on-line that track aspects of how you and your company are being talked about on the Web.
There are applications that track text—twitter feeds, blog posts, comments and the like. These have been around for a while and a classic example is what might still be called a vanity search on Google and other search engines. The basic idea is that the search engine looks for fragments like Beagle Research or Pombriant, and brings links back to your email. If you recall the Steve Martin classic movie, “The Jerk” getting a Google Alert is equivalent to receiving a new phone book.
There are lots of sub-specialties in this area. For example, products like del.icio.us can tell you when someone bookmarks a web page. Blogpulse can tell you who is picking up on a blog posting that you might not think is going anywhere. It can also tell you about the use of keywords, like your product name for example. And Co.mments can track the comments left on blogs—do people like your posting or are they panning it? What else are they saying?
The proliferation of different types of social media, especially video, seems to have spawned a cottage industry of companies that will gladly scour the video sites to bring back tidbits that may be informative or salacious. Suppose someone snaps a photo of one of your executives in a compromising position, a search of flickr, YouTube, Google Video, MetaCafe and other sites can alert you to trouble.
Then there are consolidators like Keotag that tracks which keywords are being used as tags. Is your company name being used as a tag? It might bear looking into. I was impressed to learn there is even a search engine product—oodle—that scours online job listings and aggregates the information. Is your competitor advertising a new position for what looks like a new product line?
Then there’s Edgar Online. Edgar is the SEC site that captures and makes available public filings on public companies. It gives you a window into the health of public companies. There is also SeekingAlpha which lets you subscribe to the RSS feed of conference call transcripts (think earnings calls). Also, Google Patent Search (beta) is self-explanatory.
There’s more too. Marketing Pilgrim (www.marketingpilgrim.com) lists 26 of these and similar sites that are available free to track what the world is saying about you and yours. I don’t have the heart or the stamina to go into all of them though.
What’s the net of all this? A couple of ideas. First, social media is not just for individuals, companies can make very good use of free filters to understand customers and competitors better.
Remember clipping services? They were dedicated to scouring magazines and literally clipping articles for you. Every month you would get a file of clips that helped you understand what the market thought about you last month, or more realistically, three months ago when the reporter filed the story, in the case of magazines.
Now it’s instant. Everyone is a reporter too, wittingly or unwittingly. That photo of you or your boss three sheets to the wind and scantily clad playing tiddlywinks at midnight at the user conference in paradise last month was a lark but it ended up on-line. Can you say damage control? In the arms race that is marketing, you need to know because your competition wants to know and you know what that means.
As you might expect, there are consolidators of these filters and companies that span the differences in media and I think they bring a certain cloak-and-dagger quality to all this. Imagine being able to get a clippings service worth of this kind of information streaming into your face every day. The sheer volume of information out there is impressive and there is almost a CIA-like (I am sure they will track this keyword, Hi, guys!) quality to getting this kind of market intelligence.
It’s a great use of technology but I wonder about some of the ramifications and potential for abuse. In the time it took to write this, it feels like social media just grew up.
Categories: CRM
Tagged: Blogpulse, co.mments, CRM, flickr, Google, google video, keotag, marketingpilgrim.com, metacafe, SeekingAlpha, social media, social media tracking, tracking, youtube