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Nacho Analytics â View any company's analytics
See anyone's Analytics account. View their sales, and how they get them, all in real-time. See which growth hacks work, and which flop. See which products and features get used and which ones don't.
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Hey đ @lachlankirkwood
Thanks for checking us out!
Unfortunately, I don't work on the data team, but @mike_roberts_mrspy_ would be able to answer your question!
@lachlankirkwood I'm not sure I fully understand the question. I think it's kind of yes and no. Yes, because I'd love to have more and more panelists - particularly mobile. But, no - because the things I can see and understand given our current panel size and diversity is game changing (and I mean that not in a self promotional way - but as a dude who loves the f out of tasty data ;)
Very interesting product Mike. Am I able to see referral traffic and traffic channels from my competitionâs Google analytics?
Hey đ @kensavage
You can see referral traffic and traffic channels just like you would in your GA account.
I just want make a question: How precise is it for non US countries?
I'm from Brazil, so i need very accurate data from my country.
How honest is that data?
@henrique_chappuis_ramos Yep. It works in Brazil. Our panel is in like 192 countries. In Brazil, I think our panel is just about even with our coverage in the US (as a percent of population).
@henrique_chappuis_ramos But, our "training" data isn't as strong. So, it's possible that our top-level metrics aren't as good. But, the underlying traffic is solid.
looks incredibly useful for competitive analysis. how did you come up with the name 'nacho analytics'?
@smalter Thank you!
I wish I could take credit, but it was all @mike_roberts_mrspy_
He had something like, 4 or 5 different names, and one of them was Nacho Analytics. I couldn't resist the pun (Not Your Analytics), so I voted for it, of course.
What's great about the name is that we can also make pun-filled songs -
@smalter LOL. The first domain I registered was "TheirAnalytics.com". But, was like - obviously that's lame, but I really like descriptive product names. So, I just thought of other ways of saying it - SomeoneElsesAnalytics, NotYourAnalytics -- then I was like "Nacho! LOL". I literally told it as a joke to everyone else on the them, but they all *loved* it. My 8 year old son loved it (and gave me some great advice about how nobody will be able to forget it, and that other names are easy to forget.) Even my mother-in-law loved it.
Honestly, I was nervous about having a joke in the name. For weeks I tried to come up with a better name - I think RivalFlow.com was my best option. In the end, I couldn't shake it - it really does stick.
So, yeah. The video below is true. I wouldn't let us get too punny too fast. I wanted to make sure that we built serious messaging and a professional brand. Our personality will come through naturally, and over time - and the puns came later. Fast and hard.
I actually *reaallly* always loved the name, and the brand - but as a decision maker I try to be hyper-aware of my own biases. So, I think that's why I tried so hard to find a usurper.
It sounds good, But a Few Questions:
1. Where have these millions of users come from?
2. How accurate is it? As e.g if Apple has 1m Visitors/Day buying stuff, you have e.g 200k visitors data from that 1m, the sales figures of airpods etc obviously would be way out...I assume Nacho takes an avg based on its userbases activity, and gives a rough estimate? Some clarity here would be great :)
I also see you don't cover Mobile traffic. Quite disappointing as its a huge segment and only increasing. Do you plan on getting mobile working?
Congrats on the launch, I'm sure it'll be a great success, even bigger than SpyFu!
@ryanleverington @rrhoover đ Hey guys!
Thank you for checking us out!
This is going to be a wall of text!
1) The way it works is that weâve 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 havenât shared the exact details of our source basically because we want to keep the data very clean. We donât 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 theyâre going to be sharing their data -- itâs not like WinZip or something.
2) As far as accuracy goes, we donât 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%.
Weâre 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 ârespectableâ 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 anyoneâs 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. đ
@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.
who are they? through what app/extension?
>weâve got millions and millions of users who have agreed to anonymously share their browsing history
@ggnall We don't share the *exact* sources because we don't want the data to get polluted. But, there's a *lot* of different sources. You probably haven't heard of them, but you'd be like "oh yeah, that makes sense". None of them would be shocking, or particularly controversial. I used the example of Honey earlier where it's understood that for the product to work, there's going to be significant sharing of browsing data - like that type of thing.
@mike_roberts_mrspy_
Have those users agreed that their data will be used in nacho? Or have they just agreed to share their data with the browser extension?
How can I know if I am part of the data? I would like to opt-out. Can you share the sources?
Crazy when you know how it matters to have the best sign up workflow when you launch this kind of product !!!
Pros:Sounds really good at least you can test it for real :)
Cons:I never be able to sign up (coz my 2 credit cards were rejected no matter I try) The support can not do anything for me ok ... so what now?
@webtikinfo Thank you for checking us out!
Sorry about the payment bug. I've notified our dev team, and we should have a fix out soon. Can you send me an e-mail at zac@nachoanalytics.com? I can get your account set up so that you can test us out!
Update: We tracked down this issue - and it's now fixed and deployed this morning. Thanks for bringing it to our attention.
Cons : You don't mention before putting your Credit Card that it doesnt work for less than a million views.
Unsubscribed directly.
@joseph_ayoub @richardcanneman Hey guys!
For full transparency, I work at Nacho Analytics. You can use Nacho for sites under a million views, but it may take a *really* long time (for some domains) for data to build up to statistical significance.
We've added a countdown to the dashboard for these domains so you know exactly how long it will take before the data is good to go. For example, I ran beanbox.com (under 1M monthly views) and it took about two days for the data to build up.
@joseph_ayoub @richardcanneman @zac_t_harris I think the wizard tells you something like "choose a website with 1M+ pageviews for immediate results". We put that language in there to get you to think beyond like super-direct, but often smallish competitors. The reason we want to nudge you in the direction of thinking about bigger sites is that during the trial, you want immediate gratification. And, no matter how good of a job we do, a site with 20k pageviews a month is going to look like paint drying. I mean, the paint *will* dry - but it's not very exciting.
Put in Amazon, or Yelp, or Netflix. Have your mind blown. Understand the potential. Then, delete it, and then put in your smaller competitor and wait a couple weeks for the data to build up.
The copy "7 Day Free Trial, you will be billed after that. $79/month x12" logically imples that I need to purchase and nothing about any rights to cancel.
Pros:Seems useful. Almost too good to be true.
Cons:Was signing up but you haven't build enough trust for me to give you my creditcard. Service could be too good to be true.
@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.
Iâll add to Zacâs reply by borrowing a bit of trust from... myself ;) Iâm also the founder of SpyFu, which has been around for 12 years. Itâs 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. Itâs an extension of one of our core values as company (which are largely derivative of my core values as a human ;) Itâs called âNot Dicksâ. You can Google âSpyFu Not Dicksâ, and weâll be the first result, but others have also written about it - and their experience with our âNot Dicksâ customer service.
Hereâs a link to a video about âNot Dicksâ - 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.
Love the idea! Yet, I am curious to understand the user demographics, particularly when checking saas companies. Assuming that the buyers are somewhat quite internet savvy, Iâd be surprised to see lots of âqualityâ users sharing their data.
I mean, would anyone here be willing to share browsing history? Even if itâs for a âgoodâ cause?
@trackingdesk So, by signing up for Nacho Analytics, you aren't "becoming" part of the panel. The panel comes from a super diverse install base. So, think about a company like Honey -- they're looking at the content you're browsing and seeing which products are on the page, then they use that information to find you a better deal. The product is inherently sharing your browsing data in exchange for value. You definitely opt-in, but you also understand it based on the functionality of the product. Turns out there are a *lot* of products like that. And the pool of users is *really* diverse.
So, then, demographic biases are actually really easy to account for. It's like Nate Silver polling-science 101 (or maybe like a few past 101, but still pretty straight forward). So, TBH, every skew in the data that I know of has been accounted for.
I care a *lot* about being able to be accurate in my analysis - and I straight up don't know of a skew. Obv. you need to understand sample size and how it affects statistical significance, but that's true with all data sets. And mobile. You need to understand how that is affecting your analysis.
But, srsly. As a data nerd - the sh*t's for real. I'm extremely proud of it, no matter how much money it makes me.
Probably one of the most powerful things I've seen on PH in a while. I thought Similarweb.com was nice. This is something else. Can someone screenshot real sites they've looked up themselves?
@vineet_sinha What do you want to see? I'll share some with you, but you've got to promise to post screenshots ;) Give me your Gmail address.
Posting here since I can't make much sense out of your emails and they're from noreply addresses. Your first email asked "Have you lost your credit card?". I rechecked my wallet. All my credit cards are intact. But thanks for asking. Just so you know, I bailed out of signing up because I wasn't comfortable handing over my credit card info to someone I'd known about only a few minutes previously. Then I got another email offering free credit with 2 days validity. Memory serves, the plan I was trying to sign up for was free for 7 days. Why would I need free credit for 2 days in that case?
@s_ketharaman Oh, interesting. I haven't looked at the copy on those cart abandonment emails myself. I'll have to take a look. Thx.
Thanks for putting this together, Zac. Iâll give a quick explanation of what Nacho is, and preemptively answer a couple questions about how it works.
Nacho Analytics lets you see any websiteâs analytics *in Google Analytics*, just as youâd look at your own. So, you can spy on your competitorsâ marketing campaigns, product features, conversion rates, and sales.
-You can see how many Airpods were sold on Apple.com vs Amazon vs Bestbuy⌠the whole channel.
-You can see how many people watched Game of Thrones on Sunday, and how many *didnât* watch Netflix.
-You can see influencer-level analytics on every platform, and across platforms.
-You can build better products by focusing on the features that get used most on competing products.
The number of unanswerable questions that can now be known is crazy.
How it works:
First, weâre not *hacking* in to anyoneâs Google Analytics (GA) account. In fact, GA doesnât even need to be installed on a site for Nacho to work. Also, I think Google appreciates it when I say weâre not sponsored by or affiliated with Google in any way.
The way it works is that weâve got millions and millions of users 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.
Traffic Analytics isnât NewâŚ
Using a panel to estimate website traffic is the gold standard of traffic analytics, but it isnât new. Alexa invented the idea about 20 years ago, and then there was Compete and now thereâs SimilarWeb.
...this is:
The key difference is in the power of *combining* the traffic panel with the power of Google Analytics. Itâs about how deep you can drill, and how many ways you can slice the data.
This isnât about top level metrics: i.e. how much traffic a site gets. GA lets you say âshow me everyone that viewed one specific page, then immediately viewed another -- how likely were they to make a purchase?â Thatâs called a custom sequenced segment, and itâs built in to GA. You can also pull data out of the Nacho GA account, and create custom dashboards in Google Data Studio. You have all the power and flexibility of the whole GA ecosystem - just like you do with your own website.
Honestly, I am constantly discovering ridiculously awesome things I didnât imagine when I first had the idea for Nacho. I call it god-mode for the Internet, because itâs like a cheat code where you can go anywhere and see anything. But, the thing is - if you have all the power, the only limit is your imagination: if you could know anything about any company or product, what would you want to know?
You guys want to see something delightfully meta? Someone on Twitter asked me to see ProductHunt.com. So, I loaded it up like 2 hours ago. Check it out! Also, interesting to see the different "traffic patterns" between products. Look at bounce rate, time on page... you can kind of start to understand what kind of traffic is being "driven". https://www.screencast.com/t/WBJ...
Of something sounds to good to be true, ... well you know how the saying goes. Great idea, though, seriously.
Hey đ @felixkaiser
Honestly, I had the same reaction when @mike_roberts_mrspy_ came up with the idea for Nacho.
When we launched our beta, I was blown away. The biggest learning curve is knowing what to look for in GA. There's so much that you can do with this data, it's crazy.
I mainly look at e-commerce sites (checking out their conversions, etc.) or SaaS sites that I find on PH or Indie Hackers.
I am in the process of launching a single product e-com store based on the data that I've used in Nacho. I'll write a case study after a few months of being live.
@felixkaiser @mike_roberts_mrspy_ @zac_t_harris Wait, how are you looking up the e-commerce sites' conversions? I thought their GA setup would not be something that can be established using panelists. Do you just set up your own conversions to mimic theirs in a way?
@felixkaiser @zac_t_harris @desmondzik Yes. We make our best guess by looking at where conversion pixels fire and other signals. When we automatically configure the GA account for you, we set all that stuff up - Goals, Site search, etc. Of course, you should double check our work, and you can always change the settings - just like you would if it was the GA account for your own site.
My big question is do your users that you're getting all this data from know that you are using their data?
This is what Alexa is doing, but they getting their data through their toolbar that has millions of users. It seems like getting accurate information would require you to either:
1) Have access to users data in the millions or have access to google analytics data (which no one has except the user themselves) or
2) unethical practices to get user data
It's also possible these numbers are not as accurate as you claim.
@kraftykyle We collect our data in a way that's very similar to Alexa or SimilarWeb. So, we didn't change that paradigm. I'd like to think say our data is more diverse and our methods are more accurate - but, our real innovation is pushing this data into a standard analytics platform (GA). In retrospect, it seems super obvious. But, it's been possible for 20 years - I still have no idea why nobody did it before us.
But, of course, when I had the idea, I knew we *had* to do it. And, yeah - it keeps surprising me every day how absurdly powerful it is. It's no joke.
@angela_jiang The sales attributions come from goals and the goals are typically set up via a receipt url - just like you'd do with your own GA account. We try to automatically figure those out and set them up for you when we create the account, but we're definitely not perfect. You should double check what we do. So, it's not fuzzy math. With Walmart, for example, the amount paid is literally in the receipt page url. With Amazon, the product sku is in the receipt page url.
One recommendation I'd make is that even if you don't know *exactly* what a goal is worth, assign a an estimated value of some amount anyway. Because doing so gives you some additional metrics in GA like page value, etc.
Does the lack of mobile data get accounted for in the data that we see? For example, let's say there's 1000 sessions, 500 mobile, 500 desktop (in reality). Will the data be closer to 1000 sessions (kind of making up for mobile), or closer to 500 (not accounting for mobile at all)?
@desmondzik We don't. The reason is that mobile and desktop behavior might be subtly different on some types of sites and extremely different on other sites. I think it's important for you as the user to understand those differences and interpret the data accordingly. We didn't want to muddy the water by making those assumptions for you. The data you see is from live desktop users - and thatâs exactly how they appear when you see them.
I was one of the early beta testers for Nacho and did a webinar with their team on how I ended up using the product; we still use it in-house.
Pros:1. Usefulness of data to draw inferences from. 2. Layout is Google Analytics, so no real learning curve.
Cons:Just keep gathering data.
Nacho is awesome; several months ago they let me have access to a premium site (Instagram) for the purposes of determining influencer efficacy. I was really impressed and will let the data speak for itself: https://resources.spyfu.com/meas...
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