Fathom Analytics vs Simple Analytics

It's a deliberate design choice. The Simple team argues bounce rate punishes single-page intent — a reader who lands, reads for five minutes, finds their answer, and leaves is a "bounce" by every standard definition, even though the visit was a complete success. Session duration has the same flaw: most analytics tools can't measure time on the last page of a session, so the number is biased downward by structure. Their position is that custom events you fire yourself (a `read_to_end`, a `scroll_50pct`) give cleaner data than the platform metric ever did. The argument holds for content sites. For SaaS funnels where bounce on a pricing page is a real signal, dropping these metrics will feel like a missing tool.

This is where the gap stops being abstract. Fathom's Starter plan is **$15 per month** and includes **unlimited websites** under one account, so five sites at moderate traffic still fit on the same $15 bill. Simple Analytics Plus is **$19 per month per site**, so five separate sites means **five separate Plus subscriptions** — anywhere from **$95 to $295 per month** depending on traffic volume per site, since Plus pricing scales by pageviews above 100k. Run ten sites and the gap is roughly $15 versus $190 to $590. For an agency, a portfolio owner, or anyone running side projects, this is the deciding factor regardless of how clean Simple's dashboard looks.

Honest answer: more useful than I expected, less revolutionary than the marketing suggests. On a steady content site with stable traffic, Simple's weekly AI summary mostly rephrases what the dashboard already shows — "traffic up 4%, top page X is up, referrer Y is new." Fine, but you'd have spotted it yourself in thirty seconds. On a site with a sudden spike or anomaly, however, the summary surfaces the cause faster than scrolling through referrers and date ranges manually. So it earns its keep on busy or volatile sites. Whether it's worth the price premium on its own is a separate question — for most operators, no, but it's a genuine differentiator if your week is busy enough that you'd otherwise skip the dashboard.

No, and this is intentional. Fathom shows current visitors, top live pages, and top live referrers prominently on the main dashboard, refreshing without a reload. Simple Analytics shows you yesterday and earlier, with no live counter anywhere in the product. Their stance is that real-time numbers are dopamine theatre — you stare at the dashboard during a launch and learn nothing you couldn't learn from a daily roll-up. There's truth to that for steady operations. On launch days, when you genuinely do want to watch traffic land minute by minute, the absence stings. If you run regular product launches, content drops, or campaigns where the first hour matters, Fathom's real-time view is a real feature, not a vanity one.

Both offer trials with no credit card required at signup, which is the right way to evaluate analytics tools. Fathom runs a **7-day free trial** on any plan; Simple Analytics offers a **14-day free trial** on the Plus tier. The shorter Fathom trial is generous enough to wire the script into a real site and watch a week of traffic land — which is the only test that actually tells you whether the dashboard fits the way you check on numbers. My advice: install both side by side on a real property for a week, look at each dashboard during your normal Monday-morning review, and the answer usually becomes obvious. Your eye will land on one and the other will start to feel like work.

The script swap takes minutes — both tools are a single tag in the head, no library shims, no GA-style spaghetti. The painful part is **historical data**: neither vendor offers an importer for the other's exports, so any history you want to keep needs to be downloaded as CSV and stored separately. Both let you export raw data per date range, so you can build a manual archive if continuity matters. For most content sites the practical move is to run both trackers in parallel for two to four weeks, confirm the new tool reports numbers within a sensible variance of the old one, then remove the old script and accept that historical reporting lives in CSVs from that point forward. Goal-tracking and event-tracking setups don't carry across either — you'll rebuild any custom events from scratch.