How to Track Which Directories Send You Real Users

You submitted your product to 30 directories. Traffic went up a bit. Signups ticked up. But which directories actually sent those users? And are they real users who stick around, or drive-by visitors who bounce in 3 seconds?

Most founders never answer these questions. They treat directory submissions as a checkbox exercise — submit everywhere, hope for the best, never look at the data. This means they waste time maintaining listings on directories that send zero value while ignoring the ones that quietly drive their best users.

This guide shows you exactly how to set up tracking so you know which directories are worth your time and which are noise.

Why Default Analytics Aren't Enough

If you open Google Analytics and check your referral traffic sources, you'll see something like this:

theresanaiforthat.com    342 sessions
producthunt.com          218 sessions
g2.com                    87 sessions
futurepedia.io            64 sessions
betalist.com              31 sessions

This tells you which directories send traffic. It does not tell you:

How many of those sessions turned into signups
Whether those signups became active users
How many were bots or accidental clicks
Which directories send users who actually pay
Whether paid directory features are worth the cost

The difference between "342 sessions from TAAFT" and "342 sessions from TAAFT, 28 signups, 4 paying customers" is the difference between guessing and knowing.

Level 1: UTM Parameter Tracking

UTM parameters are the simplest way to track directory performance, and they work with every analytics platform.

How UTM Parameters Work

You append tracking tags to the URL in your directory listing. When someone clicks that link, the tags show up in your analytics.

Standard UTM format for directories:

https://yoursite.com/?utm_source=taaft&utm_medium=directory&utm_campaign=ai-directories

Setting Up UTMs for Each Directory

Create a unique utm_source for each directory. Keep utm_medium as "directory" for all of them so you can easily filter all directory traffic:

| Directory | URL to Use in Listing | |-----------|----------------------| | TAAFT | yoursite.com/?utm_source=taaft&utm_medium=directory&utm_campaign=ai-dirs-2026 | | Futurepedia | yoursite.com/?utm_source=futurepedia&utm_medium=directory&utm_campaign=ai-dirs-2026 | | G2 | yoursite.com/?utm_source=g2&utm_medium=directory&utm_campaign=ai-dirs-2026 | | Product Hunt | yoursite.com/?utm_source=producthunt&utm_medium=directory&utm_campaign=ai-dirs-2026 | | AlternativeTo | yoursite.com/?utm_source=alternativeto&utm_medium=directory&utm_campaign=ai-dirs-2026 |

The UTM Caveat

Not all directories let you customize your listing URL. Some automatically strip UTM parameters. Some require a clean URL. For these directories, you'll need to rely on referral tracking (Level 2).

Pro tip: Before submitting with UTM parameters, check if the directory accepts them. Submit your UTM-tagged URL and then click your listing to verify the parameters carry through.

Building a UTM Tracking Spreadsheet

Create a master spreadsheet with every directory submission:

| Directory | Submit Date | Listed Date | UTM URL | Status | Notes | |-----------|------------|-------------|---------|--------|-------| | TAAFT | 2026-01-15 | 2026-01-17 | ?utm_source=taaft&... | Active | Featured in AI Marketing | | Futurepedia | 2026-01-15 | 2026-01-22 | ?utm_source=futurepedia&... | Active | | | BetaList | 2026-01-18 | 2026-02-10 | N/A (strips UTMs) | Active | Using referral tracking |

Level 2: Referral Traffic Analysis in GA4

For directories that don't support UTM parameters, you can track referral traffic directly in GA4.

Setting Up a Referral Traffic Report

In GA4:

Go to Reports > Acquisition > Traffic Acquisition
Change the primary dimension to "Session source/medium"
Filter for medium containing "referral"
Sort by sessions, conversions, or engagement rate

This shows all referral traffic sources, including directories.

Creating a Directory-Specific Segment

To isolate only directory traffic:

Go to Explore in GA4
Create a new exploration
Add a segment: Session source matches any of your directory domains
Add metrics: Sessions, Engaged Sessions, Conversions, Average Engagement Time

List every directory domain you've submitted to:

theresanaiforthat.com
futurepedia.io
toolify.ai
topai.tools
g2.com
capterra.com
alternativeto.net
saashub.com
betalist.com

This gives you a clean view of all directory traffic in one place.

Key Metrics to Track

For each directory, monitor:

Sessions: Raw traffic volume. How many people click through from this directory.

Engaged Sessions: GA4's metric for sessions that last longer than 10 seconds, have a conversion event, or include 2+ page views. This filters out bounces and bot traffic.

Engagement Rate: Engaged sessions / total sessions. This is the real quality indicator. A directory sending 50 sessions with 70% engagement is better than one sending 500 sessions with 10% engagement.

Conversions: Whatever your key conversion event is — signup, trial start, demo request. This is the ultimate measure.

Average Engagement Time: How long directory visitors spend on your site. Compare against your site average. Directories sending visitors with above-average engagement time are sending qualified traffic.

Level 3: Conversion Tracking and Attribution

Traffic is vanity. Conversions are sanity. Here's how to track which directories drive actual signups and revenue.

Setting Up Conversion Events in GA4

If you haven't already, set up conversion events for your key actions:

Sign up / Create Account — The most important event for most startups
Start Trial — If you have a free trial
Upgrade / Purchase — Revenue events
Key Feature Usage — First meaningful action in your product

In GA4, go to Admin > Events and mark these as conversions. Then, in your traffic reports, you can see conversion counts broken down by source.

First-Touch vs. Last-Touch Attribution

GA4 uses data-driven attribution by default, which distributes conversion credit across multiple touchpoints. For directory analysis, you want to understand both:

First-touch attribution: Did this directory introduce the user to your product? This measures discovery value.

Last-touch attribution: Did the user come back through this directory to sign up? This measures conversion value.

In many cases, a user discovers your product on TAAFT (first touch), then Googles your product name later (last touch) and signs up. Default analytics would credit Google, but TAAFT did the real work.

To get first-touch data in GA4:

Go to Advertising > Attribution > Conversion Paths
Look at the first interaction in paths that include directory referrals

Connecting Directory Traffic to Revenue

If you can, connect your analytics to your billing system. Here's a practical approach:

Capture UTM source at signup. Store the utm_source value in your user record when someone creates an account.
Pass it to your billing system. When that user upgrades, you know which directory they came from.
Calculate LTV by source. Over time, you'll see which directories send users who not only sign up but actually pay and stick around.

This is the gold standard of directory tracking. Even simple implementations (storing utm_source in a hidden form field) give you dramatically better data than most founders have. For a broader analytics setup guide, see setting up analytics for your app.

Level 4: Behavioral Analysis

Beyond conversions, track what directory visitors actually do on your site.

Landing Page Performance by Source

Different directories may send traffic to different pages (if you customize your listing URLs). Check:

Which landing page do directory visitors see first?
What's the bounce rate for each directory's landing page?
Where do they go after the landing page?

If a directory sends traffic to your homepage but the bounce rate is 85%, maybe you need a dedicated landing page for directory traffic that better matches their expectations.

Feature Adoption by Source

If you have product analytics (Mixpanel, PostHog, Amplitude), segment users by acquisition source:

Do TAAFT users adopt different features than Product Hunt users?
Do users from AI-specific directories have higher activation rates?
Do users from general startup directories have higher churn?

These insights help you understand not just which directories send users, but which directories send your best users.

Building Your Directory Performance Dashboard

Create a monthly dashboard with this structure:

Overview Metrics

| Metric | This Month | Last Month | Trend | |--------|-----------|------------|-------| | Total directory sessions | | | | | Total directory conversions | | | | | Directory conversion rate | | | | | Revenue from directory traffic | | | |

Per-Directory Performance

| Directory | Sessions | Engagement Rate | Signups | Conversion Rate | Revenue | Cost | ROI | |-----------|---------|-----------------|---------|-----------------|---------|------|-----| | TAAFT | | | | | | Free | | | Futurepedia | | | | | | Free | | | G2 | | | | | | Free | | | Product Hunt | | | | | | Free | |

Insights and Actions

Which directory improved most this month?
Which directory should we invest more in (paid features, listing optimization)?
Which directory should we deprioritize?
Any new directories to test?

Review this monthly. Quarterly, make decisions about which listings to maintain, upgrade, or abandon.

Common Tracking Mistakes

Mistake 1: Only tracking sessions

Sessions tell you about clicks, not about value. A directory sending 10 sessions that convert at 30% is more valuable than one sending 1,000 sessions that convert at 0.1%.

Mistake 2: Ignoring dark traffic

Some users will find your product on a directory but navigate to your site directly (typing your URL or searching your name). This "dark traffic" won't show up in referral reports. First-touch attribution helps capture some of this.

Mistake 3: Not waiting long enough

Directory traffic compounds. A new listing might send 20 visits in month 1 and 200 in month 6 as it gets indexed and climbs category rankings. Don't judge a directory's value in the first 30 days.

Mistake 4: Forgetting to exclude bot traffic

Some directories attract scrapers and bots that inflate your traffic numbers. Look at engagement rate and time on site to filter real human traffic from noise.

Mistake 5: Not tracking indirect value

A directory listing that sends zero direct traffic but ranks #3 in Google for your brand name is still valuable. Check Google Search Console for branded impressions that come from directory listings.

Making Data-Driven Decisions

With proper tracking in place, you can make confident decisions. For a broader framework on measuring early-stage marketing effectiveness, combine directory tracking with your other channels.

Double down on winners

If TAAFT sends your highest-converting traffic, invest in featured placement. Optimize your listing. Add better screenshots. Write a compelling description.

Cut the losers

If a directory sends zero traffic after 6 months, stop maintaining that listing. Your time is better spent elsewhere.

Experiment with new directories

Use the same tracking framework to evaluate new directories. Submit, set up tracking, give it 90 days, then decide.

Optimize your listings based on data

If a directory sends high traffic but low conversions, the disconnect is between your listing (sets expectations) and your landing page (delivers on them). Fix the gap.

Starting Simple

You don't need all four levels of tracking on day one. Start here:

Week 1: Add UTM parameters to your top 10 directory listings. Set up a GA4 custom report for directory referral traffic.

Month 1: Review which directories send traffic. Note engagement rates.

Month 2: Set up conversion tracking. Start attributing signups to directories.

Month 3: Build your monthly dashboard. Make your first optimization decisions.

The startup directory submission checklist includes tracking setup as part of the workflow. And for a complete list of directories to track, start with the 50+ AI directories list.

Tracking marketing across dozens of channels is exactly what AI should handle. Any monitors your directory performance alongside every other marketing channel, surfacing insights so you can focus on the metrics that matter.