Hilarious April Fool’s send-up of the analyst business
I’m not clear on who wrote it, but there’s a hilarious send-up of the analyst business. See in particular the “Magic Kingdom” graph, whose four quadrants are Adventureland, Frontierland, Tomorrowland, and Fantasyland, and similar spoofs of the Forrester Wave and Geoffrey Moore’s Chasm graph.
| Categories: Analyst relations | 1 Comment |
Social media done in a silo is social media done wrong
There are tons of self-appointed “social media experts” out in cyberspace. There’s also a growing backlash against same, usually focusing around ideas such as:
- Many of these so-called “experts” greatly overstate their expertise.
- A lot of what passes for social media “success” just amounts to these “experts” getting attention from each other.
I wouldn’t go out of my way to argue with all that. 
But I think there’s also a more fundamental reason why specialized social media “experts” should not be taken very seriously:
Social media done in a silo is social media done wrong. Read more
| Categories: Marketing theory, Technology marketing | 3 Comments |
A great example of influencer outreach
From time to time I tell about a particularly bad job of doing influencer outreach at me. But I don’t directly balance those stories with examples of good outreach targeted at me. There are multiple reasons for this, including:
- My “How to pitch me” post was already arrogant enough. I don’t want to repeatedly conflate “This is how I like to be dealt with” and “This is how you should deal with analysts in general.”
- The nature of my business is such that, by the time I’m having a particularly good relationship with a company, there’s probably something confidential going on, or at least something I should be careful discussing in public.
As an alternative, I’d like to share a particularly good example of outreach I just discovered in the political sphere. Read more
| Categories: Barack Obama, Political marketing | 1 Comment |
Monash’s First Law of Commercial Semantics explained
Below is a three-year-old post of mine from a long-dormant blog, quoted in its entirety:
Maria Winslow notes that “Open Source” is an example of
Monash’s First Law of Commercial Semantics:
Bad jargon drowns out good.
Now, I won’t pretend that’s really original with me — but then, it’s based on Gresham’s Law, for which Sir Thomas Gresham apparently doesn’t deserve the credit he gets either.
The idea behind the “Law” is this: If a term connotes some kind of goodness, marketers scarf it up and apply it to products that don’t really deserve it., making it fairly useless to the products that really do qualify for the more restrictive meaning.
“Predictive analytics” sounded cool, and now covers a fairly broad range of statistical analyses, most of which don’t involve any kind of explicit prediction. Some “native” XML data stores are dressed-up tourists from either the relational or object-oriented worlds, while a lot of “thin clients” actually do their shopping at Lane Bryant. “Transparent” connectivity layers tend to be cloudy, and “portablilty” commonly involves considerable heavy lifting.
By the way, Monash’s Second Law of Commercial Semantics is much more technologically oriented: Where there are ontologies, there is consulting. I first said that at the Text Mining Summit, and it seemed to win immediate, widespread agreement.
| Categories: Marketing theory, Technology marketing | 5 Comments |
Strategy should be complicated, but tactics should be simple
My approach to marketing strategy is often a quest for completion. A chain is only as strong as its weakest link. For want of a nail the shoe was lost; for want of a shoe the horse was lost; for want of a horse … and so on. The layered messaging model is a prime example of that.
But while strategy often needs to be made more complicated, tactics often need to be simplified. This hilarious video — hat tip to my favorite web designer — tells the story.
| Categories: Marketing theory | 1 Comment |
Always be marketing
Guy Kawasaki argues that you should always be selling. Specifically, he suggests:
Creating a successful business requires effective persuasion. This study shows that great persuasion sometimes occurs when people don’t expect it. This means that you should always be selling—you may persuade people when you least expect it. This is also a good argument for the potential power of tools such as Twitter and blogs. These new approaches can open doors for people who haven’t thought about a new concept.
If you think about it, what Kawasaki really means is: You should always be marketing.
Looking at him briefly from afar, I’d guess that Kawasaki’s priorities are something like:
- Keep building awareness.
- Stay on message.
Judging by the recent election season, most political campaigns would agree. In enterprise IT, however, I’d tweak and flip them, to:
- Stay on one or more of your messages.
- Build awareness in the right audiences — prospects and influencers alike.
| Categories: Marketing theory, Political marketing, Technology marketing | 3 Comments |
Do influencers think along the lines of the layered messaging model?
I originally came up with the more techie version of the layered messaging model
Enterprise IT product (sustainable-lead messaging stack)
- Tangible benefits
- Technical connection
- Features and metrics
- Technical connection
- Fundamental product architecture
because it’s a pretty good representation of how I think. But what about other influencers? Do they view things in somewhat the same way? Read more
| Categories: Analyst relations, Layered messaging models, Marketing theory, Technology marketing | 3 Comments |
Generalizing the layered messaging model
In my introductory post on layered messaging, I laid out two basic templates for enterprise IT messaging. But consider, if you would, the following
General layered marketing template
- Tangible benefits
- Credible causal connection
- Measurable characteristics
- Credible causal connection
- Fundamental nature
| Categories: Campaign 2008, Layered messaging models, Marketing theory, Political marketing | 1 Comment |
Enterprise IT marketing — a layered messaging model
Two things matter about marketing messages:
- Do people believe you?
- Do they care?
It’s easy to meet one or the other of those criteria. What’s tricky is satisfying both at once.
Many marketing consultants, me included, would phrase the core messaging challenge in terms such as:
What’s the most compelling claim you can make that people will actually find credible?
| Categories: About this blog, Analyst relations, Barack Obama, Layered messaging models, Marketing theory, Technology marketing | 10 Comments |
I’m not the only one who thinks vendors underdisclose
Here’s a real-life example of something I talk about all the time — the need to not just tell a story, but to give simple and persuasive reasons why it is true. David Raab is a huge fan of QlikTech’s QlikView, as both a reseller and blogger. Precisely because he is such a great advocate, he is frustrated by the company’s lack of technical specificity and disclosure. To wit (emphasis mine): Read more
| Categories: Analyst relations, Technology marketing | 2 Comments |