(1) Total deaths in one month in the US will be 416K at the current rate.
(2) If US locks down like Italy, total deaths in one month drops to 10K – and 6K if our efforts are halfway between Italy’s and China’s (and 3K if like China).
(3) Not fully locking down will result in 1K – 15K additional deaths per day (grows each day) we wait over the next month.
I did some quick analysis over the latest death data (see image below):
Here’s the spreadsheet with the data and math.
The death count and cost of each day we don’t drop the hammer and implement a complete national lockdown need to be reported and acted on before it’s too late …
I do hope I’m wrong (for ex. Italy’s and US’s daily deaths stabilize soon) and/or we can course correct ASAP to save lives.
An op-ed I wrote for VentureBeat:
The line between marketing and sales is getting blurrier by the minute. Sales reps are leveraging new sales acceleration tools like Tout, Yesware, Sidekick, and Outreach, and it feels like a new one comes out every quarter.
These specialized apps have become so sophisticated that they’re enabling sales to run their own campaigns and sidestep marketing automation. They help teams increase response rates through more personalization and control, a 1:1 touch, simple plain text messages, and more follow up vs. blanket general marketing blasts.
Read more …
An op-ed I wrote with Tomasz Tunguz for Techcrunch:
One of the most critical metrics for software companies — but also one of the most difficult to measure — is the lifetime value of their customers (LTV). The lifetime value dictates how a company should spend its marketing and sales dollars.
Unfortunately, many early stage startups struggle to measure LTV, because they haven’t been around very long and, consequently, haven’t seen a large number of customers through their lifespans with the product.
Read more ..
An op-ed I wrote for TechCrunch:
According to industry expert David Raab, almost 70 percent of marketers are either unhappy or only marginally happy with their marketing automation software. According to Bluewolf’s new “State of Salesforce” study, only 7 percent are seeing good, measurable ROI from those investments. There’s a lot of fragmentation and dissatisfaction in this category despite the huge potential benefits of automating marketing.
A key contributor to the current state of marketing automation is the fact that its roots stem from email blasting. As these systems layered in landing pages and forms, web activity data, triggers, etc. over time, they became bloated from trying to do too much and began to over-promise and under-deliver.
Read More …
Today, my co-founders and I are extremely excited to launch our company Infer. We’re applying consumers smarts (a la the science of Google) to business to specifically help companies win more customers. We’ve been able to deliver consistent lift across the board for our customers. Learn more about what all this means and how we do it here.
Just provide a link to a public LinkedIn profile and an email address and that’s it. The system will go find other folks on LinkedIn who best match that given profile and email back a summary of the results.
It leverages some very useful IR techniques along with a basic machine learned model to optimize the matching quality.
Some use cases:
- If I provide a link to a star engineer, I can find a bunch of folks like that person to go try to recruit. One could also use LinkedIn / Google search to find people, but sometimes it can be difficult to formulate the right query and may be easier to just pivot off an ideal candidate.
- I recently shared it with a colleague of mine who just graduated from college. He really wants to join a startup but doesn’t know of any (he just knows about the big companies like Microsoft, Google, Yahoo!, etc.). With this tool he found people who shared similar backgrounds and saw which small companies they work at.
- Generally browsing the people graph based on credentials as opposed to relationships. It seems to be a fun way to find like minded people around the world and see where they ended up. I’ve recently been using it to find advisors and customers based on folks I admire.
Anyways, just a fun application I developed on the side. It’s not perfect by any means but I figured it’s worth sharing.
It’s pretty compute intensive, so if you want to try it send mail to [contact at pplmatch dot com] to get your email address added to the list. Also, do make sure that the profiles you supply expose lots of text publicly – the more text the better the results.
Today we have officially released an experimental Fresh tab on the delicious.com page. Learn more about it here on the delicious blog.
I won’t rehash too much of the delicious blog post as that describes the motivation and idea in detail, but the basic idea was to advance and apply the TweetNews model to the latest stream of delicious bookmarks. The result is what we feel to be a pretty relevant and fresh (updates every minute or so) homepage. Please check it out and bookmark it (no pun intended). Just a simple start to hopefully better surfacing of content on delicious – expect more updates soon.
delicious also greatly advanced its search experience and sharing options in this release. You can learn more about it from the release posts here and soon here.