Have a question not covered here? Let us know.
What is the difference between web analytics and product analytics?
Web analytics is a streamlined experience for tracking and monitoring your most important website metrics. Product analytics is a more powerful and flexible experience for tracking your product.
Web analytics | Product analytics | |
Dashboards | One, pre-built | Unlimited, customizable |
Custom insights | ✖ | ✔ |
Events | Pageview, pageleave | Any, custom |
Properties | Limited, pre-defined | Any, custom |
Built for | Small teams, marketers | Engineering, product, data teams |
Use case | At-a-glance view of website traffic | Analysis of product usage and user behavior |
Web analytics relies on a subset of the events and properties used by product analytics. This means you can use both in tandem.
How much does web analytics cost?
Web analytics is no additional cost on top of product analytics. Events are used between both, and follow product analytics' pricing.
Where is my world map?
All good web analytics dashboards need to include a world map. Ours includes it too. If you can't see it, you need to enable the GeoIP app.
Do stats include bots and crawlers?
No, we automatically block bots and crawlers. You can see exactly which ones we block here.
Why is my pageview/user count different on PostHog than my other analytics tool?
1. Ad blockers
Affects: visitor count, session count, pageview count
Around 1 in 3 internet users use an ad blocker, more in some demographics, with 25-34 being the highest.
Google Analytics is blocked by almost every ad blocker, whereas other analytics tools are not always blocked. Additionally, you can use a reverse proxy which makes it harder for ad blockers to block our traffic.
2. Different methods of counting unique users
Affects: visitor count
In PostHog, you can identify anonymous users across with the same distinct ID across visitors and devices they are correctly counted as one user. Analytics tools that don't allow for identifying users would incorrectly count these as multiple users.
Cookieless trackers, like Plausible and Vercel, track users by combining a few properties into a hash. This includes the user agent, IP address, and a daily salt. Because the salt changes every day, a user that visits your site 7 days in a row counts as 7 different users in these tools. In PostHog, if the user is identified, or if you are using cookies, they are correctly counted as a single user.
These cookieless trackers also incorrectly count the same user on different devices as different visitors, as the user agent would differ.
3. Different methods of tracking sessions
Affects: session count
A session is a grouping of user activity, which starts on the first event (e.g. pageview) and ends after 30 minutes of inactivity. By default, we store the user's current session ID in a cookie. Other tools might have a different timeout period or a different way of storing the session state which can affect the count.
4. Bot detection
Affects: visitor count, session count, pageview count
Some traffic to your site might be bots like search engines crawlers, archivers, or content scrapers. You may want some of these to be able to access your site, but you don't want them to appear in your analytics data. Different tools use different methods, which may result in different visitor or page view counts.
Our client-side bot detection code is available on GitHub (pull requests welcome!) and we automatically prevent detected bots from sending events.
Why am I getting a lot of direct traffic?
Direct traffic usually refers to when a user enters the address to your website directly, but it also includes any traffic where the referrer is unknown or impossible to calculate. We use the document.referrer
property, which might be hidden for a few reasons:
- Some browsers and privacy extensions strip or hide the referrer, particularly in private browsing or incognito mode.
- Links opened from an app (for example, a messaging or email app) won't have a referrer set. You can use UTM tags to help attribute links shared this way. Note that many apps, like the iOS Mail app, will strip ad-specific parameters like
gclid
,fbclid
, etc. - Browsers won't include the referrer for links from HTTPS to HTTP.
- Link tracking or redirection services may result in the original referrer being lost.
- Websites can specify that the referrer should not be sent, by including the
referrerpolicy
meta tag in the page orrel="noreferrer"
on the link.
Note: If you have auto-tagged traffic set up in Google Ads, parameters set this way do not appear as URL parameters, and therefore aren't available for us to use for attribution. You can set up tracking templates in Google Ads to add query parameters automatically.
Why does my own site appear as a referrer?
This is called self-referral traffic, having a small amount (less than 5%) of self-referral traffic is normal, and it can happen for a few reasons:
Cross-domain tracking
If you track multiple domains, you might need to set up cross-domain tracking to ensure that sessions are correctly attributed.
Session timeout
A user visits a site (for example,
google.com
) that links to yours.The user clicks a link to your site. At this point, a new session starts and the referrer is
google.com
.The user walks away from their computer, and is inactive long enough for the session to expire (30 minutes by default).
User comes back to their computer, goes to the already-open browser tab with your site, and clicks an internal link. A new session starts and the referrer is your own site.
If your users are typically inactive for longer than 30 minutes within one period of activity, you can increase the session_idle_timeout_seconds
setting in your posthog-js configuration.
Why does PostHog impact my PageSpeed score?
The simple answer: PostHog, like any other web analytics tool, consumes resources (CPU) and execution time to load the resources that make it work. This isn't without cost, but PageSpeed Insights makes this cost seem larger than it actually is.
How do we optimize how PostHog loads on your website?
We try our best to only include code necessary for PostHog to function, but we do have multiple features, from autocapture to session replay to surveys, that need to load.
We load most of these assets from an external .js
file asynchronously. This means it doesn't block other which minimizes the impact on First Contentful Paint (FCP) and Largest Contentful Paint (LCP). We also serve these assets from a CDN to speed them up.
We also optimize our assets specifically for PageSpeed Insights whenever possible. For example, we recently removed legacy JavaScript required to support IE 11, which PageSpeed Insights generated a warning about.
Why you shouldn't care about PageSpeed score
At a more philosophical level, we question the premise of the question. PageSpeed score isn't an objective judge of quality or performance for the following reasons:
It's not realistic. PageSpeed judges your website on its performance for an underpowered device with a bad internet connection. For example, on mobile, it uses a broadband speed of ~1.6 Mbps, which is significantly slower than the typical 5-50 Mbps (5G can be faster than this too)**.
- You can use PostHog to autocapture core web vitals to give you a more realistic picture of your users' experiences.
It doesn't directly impact search rankings. Although speed matters for user experience, there is no evidence to suggest Google uses data from PageSpeed Insight directly in its search ranking algorithm. Leaks about the search ranking algorithm don't mention PageSpeed as important to search rankings. Optimizing your site speed can improve your user experience and lead to more clicks and fewer bounces, which can improve your search rankings, but any positive or negative impact on rankings is based on user behavior, not this arbitrary score.
- Google Ads' Quality Score is a similar situation where loading speed and user experience impact your CPC, CTR, impressions, paid ranking, and more. This doesn't mean your PageSpeed score directly impacts these either.
Nearly everyone has “failing” PageSpeed scores. Large and popular sites, from the New York Times to Shopify have failing PageSpeed scores. For example, the NYT loads 43,906 ms worth of scripts, nearly 100x more than the execution time of PostHog.
Other things matter more. PageSpeed score is not revenue, profit, conversion, retention, or product-market fit. Talk to users and build something they actually want.
Sorry, you didn't convince me. I still care about PageSpeed score. What do I do?
Update your PostHog version and/or check you have the latest version of the snippet (by copying and pasting it from your project settings). We continually ship improvements and optimizations that you need to update to take advantage of.
Move the PostHog snippet down in your header, below other scripts. This can impact loading time.
Although we don't recommend it, you could lazy load PostHog by having it trigger on scroll or a timer. This can miss initial events, start session replays later, cause lower event counts, and delay other features.
Utilize server-side tracking. We have a range of SDKs for backend languages and frameworks you can use to capture events and use the features of PostHog without needing to load any code on the client side.