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While not a plugin, I've had a great experience using the free tier of Gemini CLI over my md-repository. It's rarely run out of context, unlike with code repositories, and it's super easy to feed relevant context just by mentioning files.


Reasonable concern. We have a basic FAQ, but it does not say anything about integration (which is actually pretty simple and require only to add our js script). Will try to fix it.


It's not so much the technical "integration" that your website needs to communicate about vs how your product works.

I honestly have no idea what your product does. How is it different to Google Analytics, Optimizely, Mixpanel, et al?

Apart from explaining more about what you do exactly, I'd recommend including testimonials and results (if you have them) - "we helped X increase their ROI by Y" for example.

Edit: 'Totally free until August 2016'? I'd recommend phrasing this as 'sign up now and get our Business package FREE for the next 5 months'. 'Free until August 2016' doesn't sound very appealing as a potential customer.


Sure. Ofk we used PH & HN and Reddit in the beginning (and many others startup platforms). Tried to reach industry bloggers (had some effect) and reporters (did not succeed here). Tried a content (which brought high quality leads, but quantity was pretty small), tried to reach some local marketing communities. Also tried to reach agencies (failed here).

Even if we received very positive feedback on product / idea and plans on integration - the process of generating hypothesis and creating different variations was pretty time-consuming and in the end people did not complete it.

Posting to StackThatMoney definitely sounds like something worth trying, and we’ll give it a shot. Thank you!


Guys, you need people that use landing pages all day long and have enough traffic.

Your market is huge(I know that because I was selling products for this niche), from solo internet marketers with big email lists to media buying agencies. You just need a few case studies to show them it's working.

Do you have any case studies?


We had some tests setup and run (some of them were a clear success, some -- not that much). And we're currently working with one huge Russian company, but still could not publish a case yet (but surely will as soon as possible).

We know that cases are one of the most important things in this game, but the problem is that the process is very slow (like starting a campaign could take up to 2 months), so this makes everything a little bit complicated.


And what do you mean by "market it a little differently". We played with positioning/wording for a few months and while it affects our registration numbers, it did not help to activate users.

Maybe we did it all wrong - we tried to build a slick product, collect leads, carefully onboard them, nurture with content, optimize our funnels and so on. Perhaps we should just concentrate on collecting phone numbers and selling directly, but this is the thing that we tried to avoid all the time.


By "market it a little differently", could you pick a few specific markets. Say for a landscape design company, maybe visitor A to their site is interested in someone to cut their lawn on a regular basis. Visitor B is interested in someone to maintain the flowers and mulch of the gardens in their yard. Visitor C is interested in a new patio. These are entirely different pieces of content, but they are highly specific to one industry.

You landing page approaches it more generally and does not target a specific industry. You need multiple landing pages to give specific examples like this for a set of industries you would like to target.


I think it would be pretty cool if you used it whenever someone visited your site. For example, if I came to your homepage and then you showed me the other versions that _I could have seen_ and explained why you showed me this one that might prove that using your product works.


The scheme is simple: the more -- the better. Though, you should not be put back by the false assumption of your traffic flow being too weak -- give it a try and see how it goes.

Usually it requires about 10k unique visitors per month to start with. Concrete answer on your question hugely depends on your audience structure and number of variations.


Actually, it is. We're currently running simple personalization campaign with two versions of landing pages which has different design, messaging, etc.


April 11 (today), I believe. At least this date is mentioned on apply.ycombinator.com


1) Yes, the problem with creating variations is still here and is worth mentioning. Today you need to know your product well and know your visitors well to create a valuable hypothesis. And this is what we're working on right now (disclaimer - I'm one of the co-founders of Landy).

2) The idea here is that with ML you should not analyze every dimension separately. ML is taking into the account all available characteristics and making decisions based on all of them together (like if the guy on OS X, who came from NY from the Facebook campaign in the evening - prefer to watch product video instead of watching screenshots - no problem, we'll show him video).

3) The real power of ML comes out when you could not obviously split your traffic based on the ad link (like utm_campaign=dogs). Direct and search traffic on your homepage are great examples in this case. Also, manual targeting requires a bunch of analytic folks, who will continuously analyze your traffic, setup and adjust optimization campaigns. Even in this case - it's still difficult to adapt to dynamic changes in traffic (like a new type of visitors, season changes, etc). So ML could not only improve results but also decrease the amount of human resources which is currently required for solving such complex problems.

So what I'm trying to say is that your assumptions definitely make sense in some cases. But we believe that there are still plenty of cases when ML could drastically increase your results and save your time.


The short answer is no. We're doing personalization instead of testing. It means that we're applying machine learning pipelines to deliver the best possible / most relevant content (page elements or landing pages) to every single visitor. Like, for example, if a page with product-video works better for people in the evening, and product screenshots works better in the daytime - we'll find this pattern and deliver the most suitable version based on visitor traits and behavior. While with testing approach usually only one variation is a winner, with personalization approach - all variations are the winners, cause they're working great for the specific group of visitors.

Regarding the question about multivariate - we're currently support only A/B personalization (create few variations and we will show the most convertible one) and Split URL personalization (when we're splitting traffic between multiple landing page URLs)


In Russia same thing works in real-time (interpolating anything based on schedule will not be the best idea for busses / trams I believe) Mobile app from Yandex (works in Moscow & Saint-Petersburg): https://itunes.apple.com/ru/app/andeks.transport/id826358136... Web version in Saint-Petersburg: http://transport.orgp.spb.ru/Portal/transport/main;jsessioni...


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