171–180 of 235 posts
Planscope ( https://planscope.io ) - predictable, more-growth-than-churn SaaS revenue Compared to my book, which fizzles out when I'm not actively marketing it, building a B2B subscription product is the best, most turnkey income source I've ever had.
Brilliant. What was your major set back from day 0 till now and how did you overcome it? I am asking you because I need some inspiration here. When I usually hit couple of set backs I tend to demoralize and give up.
I run Correlated (http://www.correlated.org), a site that publishes one surprising correlation a day, using data generated by readers.
It was never really intended to be a money-making project, although I did give display ads and affiliate links a try, with very little success.
And then ... a book deal fell into my lap.
I had been shopping around a book proposal for "Experiments on Babies" (http://www.experimentsonbabies.com), and one of the publishers that was interested in that book also happened to note that I was the creator of Correlated, and asked if I would be interested in a separate deal to turn Correlated into a book.
I got a very nice advance for the two book deals, and in the case of Correlated, the writing involved is, for the most part, what I'd be doing anyway, deal or no deal.
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You're practically giving that app away at $5. Wedding-related businesses are extremely high margin, simply because it's super easy to rip people off when they're really happy (same applies for funerals, except people are too sad to care in that case). You could probably sell this for 5x as much and still make more money - the bride will want everything to be perfect for the wedding and will be willing to spend whate…
Intuitively, I'd agree. When we release the upcoming major version (iPad support, advanced queueing, etc) I'd like to try $10. On the other hand, after 1.5 years at $5 we've been trying $2, and revenue has been consistently higher since the change. I suspect this is because it drove us into findable range in the "Top Paid Music" chart, but with no analytics it's frustratingly hard to prove.
(Note: I had "pro" as much as the next version, but seems better than a multi-hundred dollar DJ)
Bunker is my SaaS solution which I market to freelancers and consultants who are looking for a complete solution for their small business (from creating quotes and proposals over project management and time-tracking to invoicing and payments).
Most other services specialize on a subset of what's needed (e.g. they're only doing invoicing, or only time-tracking, or only project management) and you have to go shopping for multiple solutions (and cross fingers that all of them integrate well with each other!). With Bunker my focus is on providing a complete, well-integrated experience.
So you could say my niche is "covering multiple niches" ;-)
I'd say that Bunker provides me passive income because my support burden is negligible and my churn-rate less then my conversion-rate. So if I wanted to I could go completely passive, but I'm committed to improve the app further and grow it.
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Intuitively, I'd agree. When we release the upcoming major version (iPad support, advanced queueing, etc) I'd like to try $10. On the other hand, after 1.5 years at $5 we've been trying $2, and revenue has been consistently higher since the change. I suspect this is because it drove us into findable range in the "Top Paid Music" chart, but with no analytics it's frustratingly hard to prove.
Sorry for such a naive question, but is it possible to do A/B testing on the Apple App Store? I don't know what their turnaround time is for changes, but do you just change the price, wait a while, change back, wait a while, etc., or do you do something else?
Not split testing the sale price though, it will be free. (It's just too hard to get people to buy an app outright) I want to split test in-app purchases. I think this should be fairly straightforward to implement. The only downside is in the app store 2 different items would show as top in-app purchases with different prices. People might be upset about that, but I doubt anyone would notice.
Whoever is offering stock as an income opportunity is not smart. And if you think stock is a passive income opportunity, you are dumb. Go read James Altucher.
Good timing with this thread. My attempt is with making iOS games. Trying to mix pleasure and profit. First attempt is http://clumsyandthestars.com/ . Working on a second one now...
How is that working out for you, if you don't mind answering?
nflbyeweeks.com - gets over 1,000 uniques each day and generates between $2 and $5 each day with Adsense. Not overly impressive but it's still nice.
You should split test some NFL jersey e-mail submit offers from CPA networks, instead of Adsense. I bet you will make way more money from those 1,000 daily uniques with a good jersey e-mail submit.
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great app idea. Would you be offended if someone made a bar mitzvah version?
Of course not - we have competition already as a matter of fact. I'd be interested to know what would be different about it other than the marketing.
Otherwise I can't think of much of a difference.
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> IMHO success proves Patrick right. Actually, A/B tests prove him right. Or occasionally wrong! But that's the point of such testing. He mentioned he has an A/B test going between video/no-video. I imagine that, if the video version wins, he could consider testing 2 different videos (time and expense permitting).
The page on which Patrick is A/B testing the presence of video is https://training.kalzumeus.com/lifecycle-emails , and not https://training.kalzumeus.com/ (note they have 2 different videos) You can see the A/B testing in action by visiting these two links, which explicitly include/exclude the video, on the first link: https://training.kalzumeus.com/lifecycle-emails?video=no https://training.kalzumeus.com/lifecycle-…
I think what he is trying to say is that Phil didn't test the higher order interactions enough, i.e. he didn't check that the effect that some pair of action have when done together (and the effect of triples, etc.). This is very important to note, and a good point. (I think one should preferably run a fully crossed factorial experiment[0], so that every combination is tested.)
But it is just saying "don't do A/B testing wrong", which is obviously true. I think a lot of problems with A/B testing are caused by people who don't have much statistical knowledge missing some of the subtleties that comes with any experimental design.
(On that note, there are many articles[1] about why one needs to be careful using A/B testing, which do have the backing of statistics.)
[0]: https://en.wikipedia.org/wiki/Factorial_experiment [1]: http://www.evanmiller.org/how-not-to-run-an-ab-test.html, http://www.cennydd.co.uk/2009/statistical-significance-other...