everythingswan

My interpretation of their point was that more demand for water with a fixed supply of water will only make our water problems worse. Not that data centers are causing this problem on their own.

I also communicate this to people I work with since I'm not always in full ownership of what needs to get done. I am highly capable of deeply working on several wildly different things per day but if I get pulled around too much, sometimes for great reasons, then I can't maintain the energy for as long as I would if I fully owned my work. I think it's a compromise I have reluctantly (yet happily) made: sometimes allowing this to happen and being individually less productive in order to remove bottlenecks for the org.

My biggest issue is when I use 100% of that context-switching capacity at work and then have little to give after work. It's cyclical that I do this well, then poorly, then well again. But it does feel like I'm doing this significantly better than I was 3-5 years ago.

Bounce rate just means that someone came to your site and did not interact with the analytics DB in any other way. A user can scroll up and down 50x, stay until 29 minutes and 59 seconds, leave, and it will be a bounce. Bounce rate is a terrible leading KPI to look at. It's easy to understand and a classic vanity metric that doesn't matter. Applying an old favorite of mine: you can't pay your rent with a good bounce rate. Time on site is the same.

To combat this, you can set up scroll tracking. There are some GTM templates out there. Every time someone scrolls to a percentage of the whole of a page (for instance, 25% of the page but you can set it for pixels too), you can push data to the server. This artificially reduces bounce rate (yay?) but it gives you a much better idea of if people are actually getting anywhere in your content. It's actionable to know how far people are willing to scroll down your page.

Facebook Ads, like many platforms, have terrible placements by default that get mis-clicks that drive lots of clicks in the Facebook UI. Lots of these people click the back button before they even get to your site so analytics does not fire. A good example is an in-app ad where a user gets a reward for watching your ad. They may accidentally thumb it. Turn off all placements except Feed for FB & IG. These are the most expensive but the most reliable and highest quality for a small budget.

Ads are ruthless in the early stages unless you have a truly unique product/service and can run Google Ads. If I had a unique offering ("world's only data center ____ solution" then I would start there.

If you're a me-too company or just offering services, I would evaluate ads vs other channels like sales.

With SQL, there are many different ways to write a query and to get the correct result returned to you. Instead of "1+1=2" being the only answer, it'd be more like: "1+1=2", "2+0=2", and "0+2=2". All are correct.

In my experience on SO with both SQL and Python, there are usually a number of correct answers for every question. How correct it is depends on things that usually aren't in the question: size of the data set, dependencies or processes that may break as a result of answer, etc.

GA uses first-party cookies so Firefox does not block the data. Only third-party cookies mentioned here: https://www.mozilla.org/en-US/firefox/browsers/compare/chrom...

I just double-checked my real-time analytics and looked back in the last 30 days to double-check. It's all coming through GA while I am in Firefox or other users are using Firefox.

The first vs. third-party cookies are confusing as hell.

I've had to relearn concepts 2-3x and deal with silly mistakes I made, rewriting some programs.

I know a little bit about databases so that gave me a good foundation to work with. If I was 18 and starting from scratch, some of those concepts may have taken longer to learn.

Other than that, pretty awesome. I went in thinking that I would need a few hundred hours of work before I would feel comfortable and I think that was about right. So I just enjoyed it along the way!

I'm a marketer tinkering with Python. Since Python is so versatile, lots of uses for a marketer like me. I started off with a few Coursera courses going over the basics (Programming 4 Everybody) and read the book with it.

Then I tinkered with some basic functions: how to strip a list of URLs for a specific Product ASIN, automating some Photoshop image creation, and searching a 10k row Excel doc for specific phrases. All were bad at first, but they worked eventually.

I then did the Automate the Boring Stuff course on Udemy, super fun and deepened my knowledge. Helped me improve some of the programs and start working on others. I started to work with the Facebook Ads API and Pandas to automate reporting. So fun. That program is just getting to the Excel/Sheets automation part which will save me a ton of time every week. I spend a solid amount of time manually analyzing data each week. If I can cut that down, it'll get me quicker insights so better for my clients.

Again, nothing works incredibly well but it all works. And all of them save me time going forward. Automating image files will save a team member 3-6 hours/month and reduced errors by probably 90% (And their stress. We've already used it for 2 months so that's reduced their stress level from the errors they made manually doing it).

I'm basically just carving out an hour a week at this point after shooting for 5+/week for the first 6 months. I might increase it if I slow down on client work or hit a blocker that needs more time.

I subscribe to Always Be Learning, since that is a cornerstone of my own well being, so there is no real goal. I figure if I have a system for it then I'll make progress. And everything I learn is really a bonus for myself, my clients, or any developers I work with.

There's no shortage of interesting ideas to pursue with it so that won't be a problem anytime soon.

As a climber and marketer, this is how I feel. You may need some help on sales copy but this is a marketing problem--who is this for and through what channels can i reach them?

There are definitely places where chalk is frowned upon. Try calling the gyms near those crags and sending them some free bottles to give out to their employees and gym climbers. Without any real differentiation for a large segment of climbers, the best you can do is use this small group of people who need to care about chalk residue and the even smaller group of people who do care, but don't need to.

I do think you could define the problem more clearly and try low-cost test channels like Google Ads & Facebook Ads (show ads in the geo's where chalk on rock is frowned upon).

After I read about the feelings about chalk from non-climbers, I can certainly understand why people care about it. The issue is real. It's just not a problem that most people know enough about to care yet. The challenge there is that it's hard and expensive to try and sell people on a new problem they don't know they have. It's much easier to replace an existing pain point they feel right now.

It's certainly worth talking about and fixing--the difference between segmentation and discrimination. Like in the HUD case mentioned in the article, discriminating based on age, gender, race, etc. are actually illegal. Not every industry is as regulated nor are they all at risk of it because of this.

To me, there's not a question of "should we make this better?" because we're talking about basic rights: the right to not be discriminated in the pursuit of a roof over your head or a job to pay you a living wage (housing and employment). IMO, a very different question when you advertise anything outside of those basic rights. Plenty of grey area to talk about there.

It's more explicit now. Most sites add the Facebook Pixel as they want to track conversions on their site. Most brands have this on their site. Facebook can do all of the analysis that Google can with that, such as knowing how many people add something to their cart, checkout, etc.

The power is in combining that data, like one of the grandparent comments mentioned. They will know if you buy a SUV (since the dealer uploads the data as an offline conversion) and that you're browsing baby clothes on Walmart/Target. Now you're a "new or expecting parent".

Some of these interest categories are not that explicit but the lookalike audiences are. That's a whole other post :)

Yea, that's a really insightful take and I didn't take that into account when I was thinking about this earlier. Appreciate your take!

Some SMB's that I have met over the years are great at pretending they don't have money when hiring but are very profitable. I think that fits the "bad company, no financing" and is worth mentioning.

This thread is interesting because we're talking about success for different people. Success for the founder? The money? The employees? The answers are relative to the stakeholder we're talking about.

Yea, the functioning/viable business piece has a place in this discussion. I can understand why the author wouldn't include it but it serves us here. To take on debt like mentioned, you have to have some confidence in the business model and not be searching for product/market fit like many early-stage companies. If you already have cash flow then you can leverage it.

This reveals the joy of gift-giving. I had always shied away from trying hard to find a great gift. I was afraid I would give a terrible, terrible gift (I'm not great at receiving gifts). Someone I dated years ago had a talk with me about the joy of giving gifts and I've worked on improving. It's actually a lot of fun. A little listening and preparation turns you into a thoughtful gift giver.

I also find it quite satisfying to sneak around and ask family or friends about what we should get so-and-so. It doesn't always work out well but people appreciate you trying and sometimes you really nail it.

The Python for Everybody course was great. I was excited to complete it (well, the first 3 courses in the roadmap): https://www.coursera.org/specializations/python

As a non-programmer but a decent mather, I thought it presented the materials in a way that was easy to understand. In my mid-thirties now, I feel like I could have handled this at 18 just fine--but not in a patronizing way. It was just very clear and the professor had a good sense of humor.

I just built my first time-saving Python program and it felt really satisfying. I built a few others that were cool but none actually saved me time. Very satisfying! At the end of the 3 courses (~60 hours) and some additional tinkering (~40 hours), I had the skills and that's pretty cool.

It sounds like you hired it for specific reasons, finding a low cost option quickly or treating yourself to _all the things_, and I don't think AirBnB tries to do those things well.

Try hiring hotels or hostels for large gatherings: bachelor/bachelorette parties, weddings, family vacations, etc. and I think it will be easier to see the difference. They compete more with vacation rentals, which seems old-fashioned since their online inventory always sucks.

I also think hotels are impersonal. As mentioned in this thread, they market themselves as "having a local experience" and I think that's been an effective message. I have gotten great recommendations from hosts on food, dining, and things not to do and I get to choose the location/theme of my stay too. Do I need to work? Am we relaxing for a couple days? The choose your own adventure aspect means that AirBnB is the starting place for all those searches, not hotels.

I also think there is a real lack of comparable options to hostels in the states so those could be similar jobs here (not abroad). I know of 1 hostel in my hometown near the airport (top 20 US city by pop).

I do agree that great hosts will push up prices to be comparable to hotels and the gap is closing steadily. I think you can still find great middle ground in most cities.

There was an interesting section in Risk Factors, on pages 39 - 40.

> Our marketing efforts currently include referrals, affiliate programs, free or discount trials, partnerships, display advertising, television, billboards, radio, video, direct mail, social media, email, podcasts, hiring and classified advertisement websites, mobile “push” communications, search engine optimization, and keyword search campaigns. Our marketing initiatives may become increasingly expensive and generating a meaningful return on these initiatives may be difficult.

I think you implied that marketing is expensive for them and I think you're right. And I think the commodity job that DD does is pretty dangerous since there isn't a lot of brand power to be had. I could be wrong there since I only order delivery once every few months.

I want to know if I'm reading this wrong because our conclusions were different. It feels like they tested whether additional mentorship worked, it didn't, but their conclusion was that the "interventions" worked on both groups.

From the "Findings" [1]

> In this randomized clinical trial of 1028 participants with high-risk intermediate glycemic categories, the intervention significantly reduced the 2-year risk of type 2 diabetes by 40% to 47%, although lay volunteer support did not reduce the risk further. For every 11 participants treated, 1 diabetes diagnosis was prevented.

I took it to mean that the support added no additional benefit: both groups benefited from the treatment and the group treated with and volunteers did not outperform the control.

[1] https://jamanetwork.com/journals/jamainternalmedicine/articl...

I've been using this combo for a while and it works really well. I have 2-4 profiles open at one time and just whitelist my inbox and a few other sites/apps I frequent while working. Great Suspender makes it totally viable.

It'd be helpful to add some context from your position since I bet you (and/or C-suite) bring a lot of your own expertise to the company and some people may not have those in their locker.

I've found that sometimes the existing gap in the team could be positioning, messaging, or just a basic onboarding process--you would expect those things to disappear around a Series A raise but it's just wishful thinking in my experience and companies are not vacuums.

Finding a solid performance marketer is probably easier than nailing those things. To your point, if you've got traction, deep expertise, and the foundation for marketing set then performance is the focus next. Appreciate the B2B perspective!

I had to learn to love those boring things for the positive outcomes I got from them. It's nowhere near perfect, but I know if I do all the right things during the day, I will get a decent sleep. There are some things that help more than others. There are also things that I can't always commit to since I have a lot on my plate (I'm still balancing whether I need all these things).

For me, these boring things are: * Making and drinking herbal tea (just don't get _obsessed_ with tea) * Doing dishes * Organizing my physical space (mail, books, backpack, papers, clothes, shoes, et al get moved during day) * Talking with partner * Catching up on texts before 930 * Reading fiction (or non-work non-fiction) * Listening to music (sometimes I listen to audiobook/podcast at night but rarely) * Sometimes making food for next few days or making grocery list

We had to talk about not having stimulating conversations before bed and are working on that. It's a real challenge, especially if you end up not seeing each other all day. You have to talk about it with your roommate or partner and talk about the problem you're trying to solve, offering that as a solution.

My day is designed to get me to bed having checked off my list of important things and feel tired for bed. It's essentially designed to add in good habits and take away bad habits so that I sleep better. I've worked on it for a few years and it has paid off.

I see about 10-12 paragraph indents, although short, so it might be an issue on your end. NYPost does have an intense number of ads so perhaps a blocker issue?

I've seen that gap mentioned a few times in this thread. I checked out the visual in the thread [1] and I have a question since time makes everything complicated. This is definitely an example of a worst case scenario, exactly as you mentioned.

How do we calculate that in the total risk assessment? For this outcome to be true, you would have had to invest all of your money in a 6 month period and then tried to exit in a 3 month period during those referenced years.

It would also assume that you are not investing at any other period in between, which is typically advice that goes hand in hand with index funds and tracking the market. In theory and all things being equal, it sounds like that is neutralized if we try to get out in the periods I mentioned above, right? This also assumes no dividends have been paid out.

It seems like the maximum risk is high since the return could be 0% in theory but it also seems like the chance of that happening being _very_ low.

Genuinely curious how you think about it and what else is missing. It definitely makes me want to learn more about how we've stabilized the economy after The Great Depression.

1: https://www.macrotrends.net/2324/sp-500-historical-chart-dat...

You can unfollow them if they are a connection by clicking the three dots on the top right of a post. You remain connected but you no longer see their updates in your feed.

There are different ways to say similar things so your lexicon really depends on where you've spent your time over the last 5 - 10 years. Product Market Fit (PMF), high leverage activities, and risk assessments all overlap in my mind, it really just depends on the book/blog you read.

PMF is really just a way to say "I de-risked these key areas", right? I think it does the best to encapsulate the idea of getting important things right but it's not the whole puzzle.

After PMF popularized, we had tons of people talking about Product/Channel Fit and Message/Market Fit, etc., since you need acquisition channels to work to fulfill demand and solid messaging to drive demand to begin with. Being lazy with channels is a big risk, IMO as a marketer. It's especially risky for bootstrapped startups to waste time on the wrong channels.

It's also important to identify the thing that people request first, such as a good website. Plenty of work is done after that problem is solved or in addition to that problem.

The person who solves the "we need a website" problem gets to solve those additional problems if they want to.

I originally had more nuance in my comment but wanted to keep it simple. In my experience, companies like the ones you describe have a really strong brand (so large volume of branded search) and/or really strong other channels, like SEO. At that point, paid search is a piece of the overall ROI (serving market share or other strategic objectives) and not channel-specific.

Adding even more nuance, that really only describes successful companies. Failing companies _think_ they are profitable, until they quickly aren't. Your experience is very similar to my own. You're 100% right.

You noted a few interesting things that I wanted to call out as a marketer, like budget.

No one has a $3m Google Ads budget for something that doesn't work already. I've run campaigns for brands that lead the market and for new businesses that have no brand recognition at all--the difference is night and day. Should founders run to Gmail ads because of this? Probably not.

Assuming the campaigns are still profitable, doubling the budget is great. I hope they really did well. But what does this really tell us? What can a startup or small business founder learn from this? Not much.

I think about this often while I work on small data sets and reporting, mostly lead and customer data (think PPC reporting or CAC:LTV reports) and I have a couple theories.

The one that seems most natural is that organizations don't want people to know how much data they have on them. If too much of it was customer-facing and not wrapped up in a cool "2019 Wrap Up" video, then pressure would mount to be even more transparent, and eventually accountable for, the data organizations collect.

I think there are a few others, like the value to the bottom line that it offers. Most companies optimize heavily there so the only real applications are the ones that would like to drive more revenue, such as "Only 2 seats left!" or "Last One In Stock!" messaging based on urgency and fear. One-dimensional stuff.

I also look at it from the resources perspective. I think lots of companies are spending time and resources pretty poorly. Companies I've worked with outside of startups often forget how and why they make money and end up spending lots of resources on things that might not matter. Service professionals, for example, usually rely on a network connection like the local Chamber of Commerce for business. Despite 80%+ of business coming through that channel, they insist of trying social media or PPC ads instead of doubling down or identifying a similar network when they explore growth. This is natural ignorance that they can learn to overcome.

I really hope we get more data-sourced initiatives in the future. I use a few apps that do a little bit of it but leave a lot to be desired: Goodreads, Strava, Nike Run Club, Spotify, Audible, Kindle, & YouTube come to mind.

My dream is to have a Life Dashboard. I had designed it with some of these apps in mind but the API's and the output I'd get weren't enough to pursue when life got busy.

Did not downvote but the examples included on their transparency page linked from the above article only has example of american-centric propaganda.

https://transparency.twitter.com/en/information-operations.h...