• The UTSA CITE Boot Camp: Engineering Meets Marketing

    UTSA CITE - Center for Innovation and Technology Entrepreneurship

    This past weekend I had an opportunity to speak to about 200 engineering and marketing students from the UTSA CITE Boot Camp Program (Center for Innovation and Technology Entrepreneurship) which is a day-long seminar for students to soak up as much information as possible to help them with their competition.  Essentially, the engineering students are tasked with designing and building a product, and the marketing students are tasked with figuring out how to market and sell the product.  According to Dr. Corey Hallum, the Executive Director of the CITE program at UTSA, “we’re kind of like a feeder for organizations like Geekdom“, which helps incubate startups and entrepreneurs, and even provides $25,000 in funding for those who qualify.

    When I was getting my engineering degree from 1994-1998, this kind of collaboration with marketing really didn’t exist.  We didn’t have all of the technology that exists today at our disposal.  There were no mobile phones, the Internet was slow, there was no Facebook, and our browser/search engine was Netscape.  In 1998, you couldn’t start a technology company very easily.  Servers were expensive, and there was no cloud.  We didn’t have Ruby on Rails or any other agile development coding language.  We had C, Cobalt and Fortran. There was no CSS, AJAX or HTML5 that would make my app look beautiful and provide a fantastic user experience.  There wasn’t an app store.  The “super” computers we had in the engineering lab to run programs like ProEngineer would be laughed at today.  There’s probably more power in an entry-level MacBook Air now.

    Furthermore, there simply wasn’t a collaboration between engineering and the business school.  And that’s why I love this program.  It helps engineers become more realistic on feature sets, and not “over-designing” the product.  It helps marketers understand their customers’ pain points, and drive engineering to build a “must have” product instead of a “nice to have”.  The concept of “getting out of the building”, and any other Steve Blank-ism is ideally taught in the academic world way before you get to somewhere like Geekdom.

    And so my advice to these young entrepreneurs will be similar to what I might mentor someone at a 3-Day Startup event, or even a Techstars team, and is based on my own experience in raising a small round of seed funding, failing to get the necessary traction to get to a second round, and then pivoting the business into a profitable and sustainable business:

    8 Ways To Improve Your Chances of Getting Funded (a Second Time)

    1. Build a working prototype, even if it’s ugly at first.  Don’t show up to a meeting with a potential investor with a pitch deck and no demo.  And please don’t ask them to sign an NDA.  They see hundreds of deals probably just like yours, so don’t classify your idea as “special”.

    2. Get the right team.  The reason Pear Analytics didn’t get into the inaugural year of CapitalFactory in Austin was because I didn’t have a technical co-founder.  Very few single founders get funding, and they have to really be exceptional.  Investors are putting more faith in your team and your team’s history together than they are your product at seed round.

    3.  Build something beautiful that engages users.  We had a lot of debate about this when we were building a SaaS tool in 2009-2010.  Engineers want it to be functional and don’t want to waste time with making it “pretty”.  In my opinion, user experience design is just as much a feature as anything else.  Hire a UX designer and make your product beautiful and easy to use.

    4.  If you’re going freemium, treat the upgrade path like a feature.  Sometimes we get so enamored in our product and usage levels that we forget that we ultimately need free users to pony up and pay.  The upgrade path should not be an after-thought, but rather a well-thought out and executed strategy.  Everything from the design of the path, options for upgrading and even drip campaigns throughout the trial are very effective in getting users to upgrade.  Oh, and don’t be afraid to pick up the phone and call them.

    5. Spend a lot of time on product-customer fit.  After you secure your seed round of funding, the pressure is on.  No time to relax now.  You need to as quickly as possible describe your customer, their usage patterns and how you are going to market and sell to more of them before you raise another dollar.  Chances are, your product is not ubiquitous, but serves a very specific market segment.  Find out what that is and exploit it.  You may end up pivoting, or changing your feature roadmap as a way to create your niche.  By the way, if you want to get rich, find a niche.

    6.  Stop chasing investor dollars.  As my friend Paul Singh said on his blog, if you want to raise money from him, you need to focus on building a great product (and traction) and the money will (should) come.  I see a lot of entrepreneurs spending a lot of their time pitching investors, and less time evangelizing.

    7. Marketing is not an after-thought.  I see newly seeded companies put 95% of their capital into the development and engineering of the product, but little or no money in marketing.  This is unbalanced.  Spending all of your time building the “perfect” product that nobody knows about is not going to get you to your next round of funding.  I’ve seen (and experienced) companies who put significant money in the marketing engine even though their product wasn’t that great, or even fully-baked.  But their traction turned into paying customers, which they then parlayed into strengthening the product (not the other way around).  Don’t believe me?  One word: Hubspot.

    8.  Get to profitability as quickly as possible.  Once you’ve secured your funding, the first thing you want to do is order stickers, t-shirts and your passes for SXSW.  Fine.  But at least do yourself the favor of planning how you will spend that money, develop your “runway” model and see what it will take to get to profitability as soon as you can.  Find out how many customers at $X you need to get there.  Offer stock options to keep your salaries low.  And if you’re going to blow $20K at SXSW, spend 8 weeks prior to the event planning who you need to meet, sending out emails, etc. – don’t just show up unannounced.



  • Everyday Analytics: Fantasy Football Analytics

    There are three main drafting guidelines I always follow when it comes to fantasy drafting: try to set positional runs instead of following them, try not to overrate your favorite team’s players, and never draft a kicker until the last round.

    The logic seems simple in all cases: you don’t want to be overrating players due to scarcity at a particular position, the normal fan tends to be more optimistic on their own players, and kickers’ production is too random to use a high pick on. The last one in particular is difficult for me to stomach. Sure, it’s not easy to foresee phenomenal kicking season largely because there are so many different variables that alter how often a kicker attempts field goals: offensive potency, coaching risk-tolerance, defensive ability to keep the game close, range, etc.

    I always think I can be ahead of the curve on the next big season for a kicker. Going into the 2012 season David Akers had just notched a record 190 fantasy points[1]. He was the beneficiary of a perfect set of circumstances. In many of my drafts people reached for Akers a round or two earlier than the traditional “kicker rounds” hoping that the circumstances would remain the same. They didn’t. Akers was a huge disappointment due to his lack of accuracy and attempts. With the conservative Alex Smith benched for the more electric Colin Kaepernick, the 49ers offense was no longer the low-scoring defensive-oriented football team they were in 2011 and Akers’ point total nearly halved as a result.

    Football Analytics

    None of this is new information to you, of course. But in an attempt to finally disprove that kickers will give you a more or less random score every week, I tried to isolate a few variables that seemed to contribute to strong kicking performances:

    #1 Close Games
    Regardless of how many total points are scored kickers usually score more points if games come down to the wire and last-minute drives are made for field goals. Also with new overtime rules allowing the kicking team the ball if the receiving team scores a field goal in their first possession, the potential for more kicker points is even higher.

    #2 National Reach
    Something of an opinion here, but I absolutely hate it when I have multiple high profile players on a Sunday or Monday night. It seems like the hype and excitement always culminates in disappoint and players usually score less than they’re expected to. I look for kickers to excel when offenses or defenses are good, but not great, and often primetime games play out that way.

    #3 Short preparation
    Along the same lines, it seems like kickers get the most opportunities when both the offense and defense are not as sharp as they could be. There are sustained drives that occur, but a higher likelihood of them stalling in the red zone or just outside of it.

    Football Analytics

    For me, these factors culminated in the newly expanded Thursday Night Football games on NFL network. Thursday Night games feature closer match ups (usually division games or picked based on expected skill levels), they result in a significantly shorter week of practice, and, although it doesn’t match the grandeur of ESPN’s Monday Night Football (I know you are a company man, Matthew), they do have some prime-time feel. The kicker (no pun intended) is that many of the starting kickers on Thursday night are obscure enough that you can pick them up week-to-week. My theory is that you should take a “plug-and-play” approach to your kicker based on the Thursday Night match up.

    Not only did this kicker hunch lead me to a fantasy championship in both of my leagues, I think it can continue to produce consistently strong results. Blair Walsh led all fantasy football in points this season for kickers with 168 or 10.5 points per week. For comparison, if you could predict the kicker that would score more points on a Thursday Night (it’s a 50-50 shot after all), you would have scored a weekly average of 12 points per game.[2] But that has to just be luck, right? I mean kickers produce at complete random, don’t they? But let’s say that you picked up and started the kicker on the team you thought would win the game. The winning kicker scored an average of 10.88 points per week.

    What does this mean? If you can pick the winning kicker in Thursday Night Football games you can outscore the highest rated kicker of the year. But there’s more to this strategy than total points; you also get consistency. Let’s delve into Walsh’s numbers a bit, for all of his high point weeks (including his 25 point performance in Week 15), he had many low-scoring weeks. The variation between his high and low scoring weeks is reflected in a ‘standard deviation’ of 7.33 points over the year. Standard deviation is a measure of how closely clustered the values are to the mean. In a normal distribution 68.2% of values will fall within one standard deviation of the mean. For Walsh, this means that close to 70% of his point totals will be as high as 18 points or as few as three. Simply put, his standard deviation of 7.33 looks wildly erratic compared to my Thursday Night strategy’s standard deviation of 4.11 points per winning kicker. So not only do Thursday night winning kickers score more on average, but they also score more consistently than the best individual kicker. We’ve all had those weeks when you locked in a close fantasy match up and your kicker scores a measly two points (like Walsh did in week 13). As a fantasy owner, I crave consistency in my kicker just like I do from any other position.

    Screen Shot 2013-07-19 at 11.15.13 AM

    Now I am not just picking on Walsh. The top three kickers of 2012 (Walsh, Gostkowski, and Bryant) all had relatively high standard deviations, averaging 5.04 between them. To emphasize the variability of individual kickers, lets look at where they were in 2011. While Gostkowski remained relatively consistent scoring 154 points and ranking fourth in the 2011 season, Matt Bryant had only 135 points and ranked 13th overall. While Walsh was still in college, Minnesota’s 2011 kicker, Ryan Longwell, amassed only 117 points good for 21st ranking among kickers. Granted Walsh’s big leg could have earned him more kicking opportunities than the aging Longwell, but the point remains that year-to-year there is a good amount of fluctuation in kicker performance. So think twice before convincing yourself that you know which kicker will emerge in 2013.

    You may be thinking, “This is all nice and good in theory, but what happens if I have to start the kicker who ends up losing the game, what then?” Well on average the losing kicker scores 7 points per game, which, if annualized over a season, would be good for 24th best. However, the losing kicker also has less variability than the top-kicking trio with a standard deviation of 4.38. So while you may not have a ton of confidence in your ability to pick the winner of a Buffalo-Miami matchup, for example, you can still rest assured that the odds favor you having fewer really bad performances than the owner with the statistical “best kicker” in the league.

    I may not have had years of data to properly convince you that this strategy is a worthy one, but it is fundamentally rooted in logic. Thursday Night games take many teams out of their element with short weeks of practice and prime time attention, while generally featuring equally matched teams. The numbers show there are more field goals attempted and made on Thursday nights on average, and significantly more if you can start the eventual winning kicker. If you want to play a hunch that you can draft the next great kicker in the ideal scoring situation like Akers in 2011, by all means take your shot. But if you are waiting to make your final pick this year, maybe give some consideration to Matt Prater or Justin Tucker who will face off to begin the 2013 season Thursday, September 5th.

    [1] All Points are calculated using 1 point per PAT, 3 points per field goal 39 yards or shorter, 4 points per field goal 49 or shorter, and 5 points per field goal over 50.
    [2] Each Thanksgiving Game was treated as a unique game to make the total Thursday Night Games match the NFL schedule 16 games.




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