These drawings are for an early tool Aleksander Nowak and I developed at Company Data Trees. The tool allowed us to enrich a CSV list with our mobile website detection API. It used a client-side HTML5 database and deleted the data when the user confirmed the mash was complete. Below is a chart of the tool’s process flow.
I want to find someone who will correct the business mistakes I made on the Mobile Intelligence Report, and turn this into a viable product. It can be a very powerful sales tool for advertising agencies.
I designed this report thinking that agencies would order a lot of them for prospecting. The reports reveal what a website looks like on 3 mobile devices, which is usually quite bad, especially if there’s Flash. While the report did show clients why they should invest in a mobile website, ad agencies did not order them in bulk. The reason is that ad agencies are setup to take on a few clients at a time. They do not “turn and burn” cold calls like software businesses because they’re not setup to handle thousands of clients.
I designed this report both economically and technologically to be generated in bulk and uploaded to a server. The better way to do it would be to create a self-service website, where reports are generated on the fly and customers are billed somewhere between $10-50 per report.
As of now, I am busy building Company Data Trees. I have no time to pursue this business opportunity, yet it pains me to have all this cool IP just sitting there. If you have some time on your hands, and you want to give this a try, please call me (do not email) at +1 (760) 542-8027.
A stock & custom promotional display catalog arrives in David’s mailbox. But, David’s in interactive advertising and will never need to buy those products. They could have figured that out by crawling engeljournal.com, which they already had on file.
Now, David will have to discard that catalog. It’s sad to see a tree die in vain.
I’ve decided to start compiling all the stupid mistakes that B2B marketers/sales people make because of bad data. Here’s #1:
Here is a list of 5,000 random domains. You can use this if you’re doing any sort of research where you need a random sample of domains. At this time, there are approximately 119,832,805 domains with extensions on in this list (“the population”). If I calculated the margin of error (“confidence interval”) correctly, this sample size represents a 1.819% margin of error for the given population.
In early 2010, I wrote a blog post called 2010:A Renaissance in Persuasion. I announced that I was on a journey to find better ways of advertising. I wrote, “perhaps [my findings] will be unlike anything we have called advertising before.” That is exactly what happened with Company Data Trees.