Can I share what I learned building my analytics product?
Yes, if you share your knowledge in plain text and never link to your blog or product, the “Blog Spam” rule allows it.
Subreddit guides
r/analytics rules, stats, and what to post
A source-backed Rankhog guide to r/analytics: public rules, community context, posting fit, and startup-promotion risk before you publish.
By Anthony Riera, founder and operator of Rankhog.
Subreddit guides combine public Reddit source URLs, captured rules, visible verification dates, and Rankhog's account-safety workflow.
Current public stats
- Members
- 283,645
- Verified
- September 29, 2026
- Category
- Analytics and data operators
Rules can change, so Rankhog keeps verification dates and the original public Reddit sources visible.
Rule summary
- Be Nice: Be an adult, be nice
- Blog Spam: Please share your knowledge without linking to your blog.
- Career Advice & Interview Assistance: Please limit these to the stickied thread. There are resources posted in the sidebar regarding certifications. Yes, we think analytics is worth getting into. Yes, study maths, stats and programming. No, we will not help you get a job that you are not qualified for.
- Advertising & Promotion: There are many great solutions out there. Let's help eachother with techniques rather than tools
Works well
- A plain text writeup of how you set up web analytics for a site, with every step described in the post and no links
- A breakdown of how you analyzed a dataset and what you found, written so others can repeat the method
- A question about how to implement or structure a specific measurement, asked honestly and answered with techniques
- A lesson learned post about an analytics mistake you made and how you fixed the underlying technique
- A discussion starter comparing analytical approaches, framed around methods rather than tool names
Avoid
- Linking to your own blog or site in a post or comment, which trips the “Blog Spam” rule
- Naming and promoting your analytics tool as the answer to someone's question, which trips the “Advertising & Promotion” rule
- Asking for career or interview help in a regular post instead of the stickied thread
- Being rude or condescending in replies, which trips the “Be Nice” rule
- Writing a post that is really an advert dressed up as advice, since the moderators say they remove posts that promote tools
- Asking the community to help you get a job you are not qualified for, which the rule explicitly rules out
What r/analytics Is For
This community is dedicated to web analytics, data and business analytics. People come here to discuss the analysis of data, to learn skills, and to talk about how web analytics gets implemented in practice. The rules tell you who posts here: people who work with data and want to swap techniques, not shop for tools. The career rule also hints at a second group, people trying to break into analytics, and the rule makes clear their questions belong in the stickied thread rather than the main feed.
Rules That Matter Before Posting
Four rules decide whether a post survives here. “Be Nice” asks you to be an adult and be nice, which is the baseline for any reply you write. “Blog Spam” is the big one for founders, because it says to share your knowledge without linking to your blog, and the moderator one-liner confirms they remove blog spam. “Career Advice & Interview Assistance” limits career and interview questions to the stickied thread, so a regular post on that topic gets removed. “Advertising & Promotion” says there are many great solutions out there and asks the community to help each other with techniques rather than tools, which means naming and promoting your product is off the table.
What To Post
Post plain text knowledge with no links attached. A good shape here is a writeup of how you actually solved an analytics problem, told as a technique anyone can repeat, without naming your product as the answer. Walk through how you set up a measurement plan, how you cleaned messy data, or how you decided what to track, all in the post itself. If someone asks a question your tool could answer, answer the underlying question with the method instead. If you want to talk about getting into analytics as a founder hiring analysts, keep it out of the feed and use the stickied thread.
What To Avoid
The fastest way to get removed is to link your blog, your site, or your product. The “Blog Spam” rule and the “Advertising & Promotion” rule together shut down almost every classic marketing move, so do not try to sneak a link in a comment or dress a pitch up as a case study. Do not post career or interview questions outside the stickied thread, because the “Career Advice & Interview Assistance” rule sends those straight to the sticky. And keep the “Be Nice” rule in mind in the comments, since rudeness gets posts pulled too.
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Common questions about r/analytics
Can I mention my tool when it directly answers a question?
No. The “Advertising & Promotion” rule asks the community to focus on techniques rather than tools, so naming your tool as the solution will get the post removed.
Where do I ask about breaking into analytics?
Only in the stickied thread. The “Career Advice & Interview Assistance” rule says these posts go there and nowhere else.
Can I ask how to implement web analytics on my site?
Yes. The description says the community discusses analysis of data, learning of skills and implementation of web analytics, so a plain text walkthrough fits perfectly.
Can I post a link to a dashboard or report I made?
No. The policy brief says links are banned, so screenshots described in text or data pasted directly into the post are safer.
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- Subreddits
- 6
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- Audience
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