Chat events in your Fathom dashboard, no cookies added

Fathom Analytics tracks page visits and event goals without cookies or persistent identifiers. SleekAI hooks straight into that model by firing Fathom event goals for the chat lifecycle. Each event sends a configured Fathom event code through fathom.trackEvent, so opens, deflections, and handoffs show up under the goals view alongside whatever else you already track.

Setup takes about five minutes. In Fathom you create up to four event goals (open, message, deflected, handoff) and copy their codes into SleekAI. Because Fathom does not support custom event properties the way GA4 does, SleekAI keeps the names simple and lets you split chatbot variants by creating per-bot goal codes if you want bot-level granularity. Display conditions then scope which bots emit which goals.

WordPress remains the source of truth for raw chat content through the SleekAI conversation log. Fathom holds the aggregate count and the trend chart. Together they give you a privacy-friendly view of how chat is performing without expanding your analytics footprint beyond Fathom's single-script setup.

Workflow

Wire SleekAI events into Fathom

1

Confirm Fathom is loaded

Make sure the Fathom tracking script is on the pages where the chatbot runs. SleekAI uses the global fathom function and needs no extra script tag of its own to fire events into your dashboard.

2

Create your event goals

Open Fathom's site settings, add event goals for the lifecycle steps you want to track, and copy the assigned codes. Most teams add four: open, message, deflected, handoff. You can also add per-bot goals later.

3

Paste codes into SleekAI

Under each chatbot in SleekAI, paste the matching Fathom event goal codes. Different chatbots can point at different codes, which is how you split sales vs docs vs support inside Fathom's goals view.

4

Read the goals view weekly

Each Monday, open Fathom's goals view and see deflection trend. When a number changes, jump into the SleekAI conversation log and filter by date to read the actual chats behind the count.

Try it now

What ends up in Fathom from a chat

A visitor opens the widget on the pricing page, asks one question, and escalates. SleekAI fires open, message, and handoff events with the configured Fathom goal codes.

Comparison

Generic chatbot vs SleekAI for Fathom Analytics

Generic chatbot

Ignores Fathom and forces a separate analytics product
Adds an extra tracking script that loads its own cookies
Cannot fire fathom.trackEvent natively
Breaks the privacy posture you adopted Fathom for
Hides chat metrics in a vendor dashboard you do not blend

SleekAI chatbot

Native fathom.trackEvent calls with configured goal codes
Up to four lifecycle goals: open, message, deflected, handoff
Per-chatbot goal codes for sales vs docs vs support splits
No cookies set and no PII leaves WordPress
Five-minute setup in the Fathom dashboard

Features

What SleekAI gives you for Fathom Analytics

Native Fathom events

SleekAI calls fathom.trackEvent with the goal codes you configure, so the chat lifecycle ends up in the Fathom goals view next to your other tracked goals without any extra analytics product on the page.

Per-bot granularity

Fathom does not support custom event properties, so SleekAI handles per-bot splits by letting each chatbot point at its own goal codes. Sales-open and docs-open become two separate goals you can chart independently.

No PII, no cookies

Chat content stays in the SleekAI conversation log inside WordPress. Fathom only sees that an event happened, just like a page view, so the privacy posture you adopted Fathom for stays intact.

Use cases

Where Fathom plus SleekAI shines

Indie SaaS and creator sites

Solo founders who chose Fathom for simplicity get a chat layer with the same vibe: one widget, one dashboard, one set of goals, no extra trackers to maintain.

Cookie banner avoidance

Sites that picked Fathom partly to avoid a cookie consent banner can add chat without changing that calculation. Goal events are cookieless and aggregate, well clear of consent-requiring tracking.

Documentation portals

Docs hubs see which sections produce deflection vs escalation by registering per-section goal codes, all visible in the Fathom dashboard they already check every Monday.

The bigger picture

Why simple analytics deserves a simple chatbot

Fathom users picked their analytics tool deliberately. The selling points are one script, one dashboard, no cookies, no consent banner, and a price that does not scale per seat. Pairing that with a chatbot that drops a vendor SDK on every page, sets cookies, and forces you back into the same compliance discussion you were trying to avoid undoes the choice.

SleekAI keeps the line clean. The chatbot runs inside WordPress on data you already control, with conversation logs stored on your own server. The Fathom side gets a small set of named goal events through the standard trackEvent call, no extra scripts, no PII, and no expansion of the consent posture.

Per-bot splits happen through goal codes, which fits Fathom's intentionally lean event model rather than fighting it. The result is a chat layer that feels native to a Fathom site. Founders and small teams who love Fathom for the same reasons they would love a clean WordPress install get the matching chatbot, and the dashboard stays the simple weekly read that made them adopt the tool in the first place.

Questions

Common questions about SleekAI for Fathom Analytics

Just the Fathom tracking script. If Fathom is already loaded on the page through your theme or a snippet, SleekAI detects the global fathom object and starts firing events. No extra WordPress plugin and no extra script to manage on top of what you already have.

Up to four: open when the widget opens, message per user message, deflected when the chat closes without handoff, and handoff when escalation fires. Each maps to a Fathom event goal code you configure in your dashboard, so you can skip the ones you do not care to track.

In your Fathom site settings, open the Events section and add the goals you want. Fathom assigns each one a short code. Copy those codes into SleekAI under each chatbot, save, and Fathom starts counting from the next chat onward.

Yes, but through goal codes rather than properties. Fathom does not support custom event properties, so the convention is to create per-bot or per-section goals like docs-open, sales-open, support-deflected. Each chatbot in SleekAI can point at its own code set.

Fathom does not set cookies or persistent identifiers, which is why it is widely treated as outside cookie consent scope. The chat content itself is a separate privacy question that depends on what your bots ask for, and that decision sits with your DPO not the chat vendor.

Closely. Fathom occasionally drops events to ad blockers and may de-duplicate quick repeats. The SleekAI conversation log is server-side and authoritative, so use Fathom for trend and shape and the log for exact counts when an audit needs them.

Yes. SleekAI exposes a JS API hook that wraps fathom.trackEvent, so a button on a pricing page or a chatbot reply that recommends a plan can fire a one-off goal like Pricing Bot Recommend. Useful for tying chat-driven conversions into the same Fathom funnel.

Both. The event goal feature is available on Fathom's standard plans and the same trackEvent call works regardless of tier. Fathom Lite has more limited event support, so confirm event goals are part of your plan if you self-host the Lite version.

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AI chatbot with Fathom Analytics for simple privacy tracking

Chat events in your Fathom dashboard, no cookies added