Nacho Analytics

@tgerin it's worth it; it is the competitive analytics analogy to using Ahrefs or Majestic to look at competitive links...if you're not doing it, your competition will.

Hey 👋 @tgerin Thank you for checking us out. I know it's a huge ask when you don't know a lot about a product/company. The reason we do it is that it qualifies you as a person with the *ability* to pay. We spend real time and resources onboarding customers during the trial period. It's important to us that we are spending that time with customers who will ultimately be capable of paying for the service. There's a lot of moving parts to any product, and y'know -- *maybe* we'll make a cc-less free trial at some point. I actually am 100% certain we will - it won't be the same as the 7 day free trial, more like a demo account. But, when we launched, the goal is always to get it out the door. So, expediency is the other reason. If you decide to check us out we also have a 30-day money back guarantee on top of the 7-day free trial. You can cancel at any time on the website, via Live chat, email, phone, Twitter, Facebook, or you can send us a raven.

@tgerin @cygnusseo Ahrefs or Majestic have free trial version that you can use without giving your card number.

@tgerin @cygnusseo @mael333 Thank you for checking us out. Nacho is a lot different from those two companies, but your point is valid. I may be wrong, but I think with Ahrefs you have to pay $7 for a 7-day free trial.

@zac_t_harris Yes, you're correct on Ahrefs.

@ryanleverington great questions. I have some of the same. :)

@ryanleverington @rrhoover 👋 Hey guys! Thank you for checking us out! This is going to be a wall of text! 1) The way it works is that we’ve got millions and millions of users (in our data panel) who have agreed to anonymously share their browsing history. Then, we remove any personally identifiable information (PII) and load it in into GA exactly 1 hour delayed. We haven’t shared the exact details of our source basically because we want to keep the data very clean. We don’t want psychographic skews that are difficult to control for, and we definitely want to avoid any programmatic or robots-based data pollution. Just the *TYPE* of software it is - pretty strongly implies that they’re going to be sharing their data -- it’s not like WinZip or something. 2) As far as accuracy goes, we don’t have **every** user in the entire world in our panel. But, we do have millions and millions of users from all over the world. In the US, we just had the mid-term elections, and we used polls to figure out who is going to win every race from the statewide Senate races down to the mayoral races. And so, we talk about sample size and confidence intervals, and with those things in mind, statisticians try to predict outcomes. In those cases, the sample sizes - the number of people in a panel - are between a few hundred and a couple of thousand people. And the accuracy of those polls tends to be +/-4%. We’re doing something similar, but our sample size is **tens of thousands** of times larger. And of course, rather than asking people questions, we looking at what they actually do. So, we **can** use a sample to understand behavior quite effectively. I think it is important to understand how stuff works so that you know how to apply it. If you are looking at what seems like a “respectable” sized industry blog, it might be getting 500 pageviews a day. 15,000 hits a month. Not a bad blog. But, you should keep in mind that our panel - or anyone’s panel - is only going to have a few raw hits per day for that blog. Another thing you could do to triangulate accuracy is to compare our numbers to the numbers disclosed in the quarterly filings for publicly traded companies. 3) You're correct, that we don't have mobile data yet, but we're working on making that happened. Unfortunately, I don't have an ETA. 😔

@ryanleverington @rrhoover In evolutionary theory the species that were able to perceive light vs being blind had a substantial advantage. Mobile traffic may not be sniffed, but it is still providing an information asymmetry to see trends. One use I saw was on competitors, where they were sending traffic to weird URLs that exposed who was buying the product...well, that was fun. :) The data is accurate in the sense of it being real traffic, but there's some caveats. This is a sample of desktop data that is weighted a bit higher to certain geographic regions, so if you were to see 200k of the 1m then you could draw inferences; it is the closest method to having a competitor's pure analytics, without having it. Keep in mind too that the way Google Analytics handles high traffic sites is they chop a few zeros off in order to make it prettier, so 1m displays as 10k as an example. I'll let the SpyFu team answer the 'source', but I have tested it thoroughly enough to know it's real.

@ryanleverington @rrhoover @zac_t_harris Ah I think I see now. So you're essentially building up a big enough sample size and then using statistics to project the numbers and populating GA with it. So in the example above, if you had 100k users who hit Airpods landing page, you then project out based on some statistical models to get to 1m users in GA. And this is why sites with less page views would take longer to build, because the sample size isn't big enough to be reliable?

@ryanleverington @rrhoover @zac_t_harris the source of your data interests me greatly. It sounds like the users have agreed to let another company track their browsing data anonymously. And maybe share with 3rd parties (you) via their terms and conditions. This isn't the same or as explicit as millions of users "who have agreed to anonymously share their browsing history". I suspect a chrome extension like an AdBlocker or coupon plugin (e.g. Honey) shares the data with you (hence the lack of mobile data) And just by virtue of that, you're looking at a skew of the population who would install one of those extensions.

@nielsbosma Thank you for checking us out. I know it's a huge ask when you don't know a lot about a product/company. We should probably add the money back guarantee a bit higher on the pricing page. With Nacho you can get a free trial of Nacho Analytics for 7 days. After that, we kick in even more protection with a 30 Day Money Back Guarantee. Just let us know within 30 days after your first payment, and we'll refund your money. No reason needed. - No forms to fill out. - No questions to answer. - No hoops to jump through. Cancel Anytime Via Email, Live chat, Twitter, Facebook, or Phone.

I agree as well

I’ll add to Zac’s reply by borrowing a bit of trust from... myself ;) I’m also the founder of SpyFu, which has been around for 12 years. It’s a brand you might be familiar with. Nacho = SpyFu. Same team, different brands. At SpyFu (and Nacho), we have a unique cancellation and refund policy. It’s an extension of one of our core values as company (which are largely derivative of my core values as a human ;) It’s called “Not Dicks”. You can Google “SpyFu Not Dicks”, and we’ll be the first result, but others have also written about it - and their experience with our “Not Dicks” customer service. Here’s a link to a video about “Not Dicks” - I fully explain it about 30 seconds in. https://resources.spyfu.com/spyf...

I'm agree on that. There is only words to understand the product. I couldn't get any demo. Instead of giving payment info and refunding, i would like to understand some partion of the product.