Review Link Analytics Guide: 4 Metrics, Funnel Diagnosis & Drop-Off Points

Every review link has its own analytics view, and it tracks four things: unique sessions, reviews generated, times copied, and external clicks. This guide explains exactly what each card counts, how the funnel percentages are actually calculated (one of them surprises people), and how to tell a distribution problem from a quality problem. Analytics is in BETA — the numbers are real, but the interface is still changing.

The 4 Stat Cards

Open a link's analytics view and the first thing you see is a header card with the link name, its /r/ slug, which form is attached, and an Active or Inactive badge. Below that sit four stat cards. Here's what each one actually counts.

1. Unique Sessions

What it measures: Distinct visitor sessions recorded against this link
What it tells you: How many separate people reached your review page

This is your top-of-funnel number, and the "unique" part matters: it counts sessions, not raw hits, so one customer who opens the link, gets distracted, and comes back within the same session isn't double-counted.

Low sessions point at distribution, not at your form. Emails aren't going out, the QR code isn't where people look, or the ask itself isn't compelling. Nothing you change on the review page will fix a sessions problem.

2. Reviews Generated

What it measures: AI review drafts created through this link
What it tells you: How many visitors got far enough to produce something

This is the single most important number on the page. A session that never becomes a generated review contributed nothing — the customer arrived and left. The gap between sessions and reviews generated is where the majority of your loss lives, and it's the gap most worth attacking.

3. Times Copied

What it measures: How often a generated draft was copied to the clipboard
What it tells you: Whether customers found the draft good enough to use

This is a quality signal disguised as an engagement metric. A customer who reads their draft and copies it has approved it. One who reads it and doesn't has silently rejected it. If drafts are being generated but rarely copied, the AI output isn't landing — that's a business description and tone problem, not a distribution problem.

4. External Clicks

What it measures: Click-throughs to your review platform
What it tells you: How many customers reached the platform where the review actually gets posted

This is as far as the tracking can see. Once a customer lands on Google or Yelp, they're outside your review page, so an external click is not a confirmed posted review — some people arrive on Google and never paste. Treat it as the closest available proxy, and sanity-check it against the review count on your actual profile.

The Three Rate Cards

Below the stat cards, three cards turn those raw counts into rates. Read the labels carefully, because one of them is not a percentage.

Reviews per Session: Average drafts generated per unique visitor. This is a ratio, not a percentage — a value of 1.4 means the typical visitor generated more than one draft. Values above 1 are normal, since customers often regenerate to get wording they like
Copy Rate: Percentage of generated drafts that were copied, with the raw counts shown underneath
Click Rate: Percentage reflecting external link clicks, with the raw click count underneath

Then an Engagement Overview card repeats total sessions and average reviews per session, and adds one metric that appears nowhere else: Positive Feedback, the count of drafts customers marked as liked, with disliked shown alongside when there are any. That thumbs-up count is the most direct quality feedback you get. If likes are low or dislikes are climbing, fix your AI configuration before you spend anything more on distribution.

The Funnel Analysis Card

At the bottom is a Funnel Analysis card with four numbered stages and a progress bar for each:

Unique Sessions — always shown as 100%, the baseline
Generated Reviews — as a percentage of sessions
Copied Reviews — as a percentage of generated reviews
Clicked External Link — as a percentage of generated reviews

One detail here trips people up, and it's worth reading twice: stages 3 and 4 are both measured against generated reviews, not against the stage above them. Stage 4 is not a percentage of stage 3. So if you see 60% copied and 45% clicked, that does not mean 45% of copiers clicked through — it means 45% of generated drafts resulted in an external click. Those two groups overlap but aren't nested.

This also means stage 2 can exceed 100%, because a single session can generate several drafts. That isn't a bug; it's the ratio from the Reviews per Session card expressed as a percentage.

Diagnosing Drop-Off Points

Rather than chasing an overall conversion number, work stage by stage. Each gap has its own causes and its own fixes.

Many Sessions, Few Reviews Generated

Problem: People open the link and leave without producing a draft
Likely causes:

Too many questions, or too many of them required
Page title and description that don't explain what's about to happen
Mobile friction — most review links are opened on a phone
Timing: the ask arrived too long after the actual visit

Fixes: Cut to two or three questions, require only the rating, rewrite your review page title so the value is obvious in one line, and open your own link on your phone to feel the friction yourself.

Drafts Generated, Low Copy Rate

Problem: The AI produces drafts but customers don't take them
Likely causes:

A vague business description, so drafts read generically
A tone that doesn't sound like a real customer of your business
Length set too long — people won't adopt a five-paragraph review of a coffee shop

Fixes: Rewrite your business description with specifics the AI can actually use, revisit tone and length, and cross-check the Positive Feedback count in Engagement Overview to confirm the quality read.

Good Copy Rate, Low External Clicks

Problem: Customers approve their draft but never reach the platform
Likely causes:

The customer doesn't realise a second step exists — they think copying finished the job
The destination URL is wrong or points at the wrong profile
The platform demands a sign-in the customer abandons

Fixes: Make the next step explicit in your page copy, and click through your own link end to end to confirm it lands on your real profile with the review box open. A broken destination URL is the single most common cause of a healthy copy rate paired with near-zero clicks.

Comparing Channels

If you have multiple review links (email, SMS, QR codes), compare their metrics to identify which channels perform best.

Example comparison across three links pointing at the same form:

Email: 200 sessions, 60 reviews generated, 40 copied, 28 external clicks
QR Code: 50 sessions, 32 reviews generated, 26 copied, 20 external clicks
SMS: 100 sessions, 55 reviews generated, 44 copied, 35 external clicks

What this tells you:

The QR code converts far better per session (64% generate a draft vs. email's 30%), because people scanning a code at your counter just had the experience. Its problem is reach, not quality — 50 sessions is not enough, so the move is more placements, not different copy
Email has four times the volume at half the rate. That gap is usually timing: the email arrives days later, when the visit has faded. Send sooner before rewriting anything
SMS is the strongest overall, with the best copy rate of the three. If you can send more SMS, do that first — it's the cheapest win on the board

The general rule: fix rate problems with better forms and copy, and fix volume problems with more distribution. Confusing one for the other wastes the most time.

What Good Metrics Look Like

Because there are no published benchmarks for this product, use your own links as the baseline rather than an industry figure. What follows is a shape to compare against, not a target to hit.

A healthy link:

Unique Sessions: 500
Reviews Generated: 300 (60% of sessions)
Times Copied: 240 (80% of generated)
External Clicks: 200 (67% of generated)
Positive Feedback clearly outweighing disliked

The signature of a healthy link is that no single stage collapses. Most visitors produce a draft, most drafts get copied, and most drafts lead to a click.

A link with problems:

Unique Sessions: 500
Reviews Generated: 90 (18% of sessions)
Times Copied: 65 (72% of generated)
External Clicks: 20 (22% of generated)

Two leaks here, and the order you fix them matters. The 18% generation rate is the expensive one — 410 people arrived and produced nothing, so start with the form and the page copy. The copy rate is actually fine at 72%, which tells you the AI output is acceptable and isn't worth touching yet. The 22% click rate paired with that healthy copy rate is the classic signature of a broken or wrong destination URL, so verify that link before assuming a messaging problem.

That diagnostic pattern is the real value of these cards: a good copy rate next to a bad click rate almost always means plumbing, not persuasion.

BETA Status: What It Means

ReviewGen.AI analytics is marked as BETA. Here's what that means:

The counts are real: Sessions, generated reviews, copies, and clicks are recorded from actual customer activity
The UI will change: Card layout and visualisation are still being iterated on, so expect the view to look different over time
Some things aren't there yet: No CSV export, no date-range filter, and no cross-link comparison view — comparing channels means opening each link's analytics separately and noting the numbers
Report discrepancies: If a number looks impossible, tell support rather than working around it

The practical takeaway: since there's no export and no date filtering, keep your own simple monthly log of the four stat-card numbers per link. It takes a minute, it gives you the trend line the dashboard can't show you yet, and it survives a link deletion.

Frequently Asked Questions

What metrics does review link analytics show?

Four stat cards: Unique Sessions, Reviews Generated, Times Copied, and External Clicks. Three rate cards convert those into Reviews per Session, Copy Rate, and Click Rate. An Engagement Overview adds a Positive Feedback count of drafts customers marked as liked, and a Funnel Analysis card shows the four stages with progress bars.

Why is my funnel showing more than 100% at the second stage?

Because Generated Reviews is measured against unique sessions, and one session can generate several drafts. A customer who regenerates twice before settling on wording they like counts once as a session and three times as generated reviews. It's the Reviews per Session ratio expressed as a percentage, not an error.

Why is analytics marked as BETA?

Analytics is functional but undergoing active development. Metrics are accurate but the UI, reporting features, and export options will improve based on user feedback. BETA status means expect interface changes and new features over the next few months.

How often do analytics update?

Sessions, reviews generated, copies, and clicks are recorded as customers interact with your review page, and the dashboard reflects them when you load or refresh the analytics view. There is no scheduled batch delay, but there's also no live auto-refresh — reload the page to see the latest numbers.

Can I export analytics data?

Not currently. There is no CSV export in the analytics view, so record the numbers you care about manually. This matters more than it sounds: deleting a review link is a hard delete that removes its sessions and events too, so that history is gone rather than archived. Write down your monthly totals before you delete anything.

What if my metrics look wrong?

Verify your review link is correctly configured and the redirect URL is valid. Test the full flow yourself to ensure tracking fires at each step. If metrics still seem inaccurate, contact support with your link URL and we'll investigate.

What You've Learned

You now know what each of the four stat cards counts, why stages 3 and 4 of the funnel are both measured against generated reviews, and how to read a good copy rate next to a bad click rate as a plumbing problem rather than a messaging one. Fix the largest gap first — usually sessions to generated reviews, because that's where the most people leave.

That completes the ReviewGen.AI Platform Playbook. You've built your review infrastructure from signup through analytics. Next, the Free Tools Playbook covers the free generators and calculators that need no account at all — useful both for your own work and for understanding how visitors first find the product.

Start with Free Tools Playbook Part 1: Free Review Tools Workflow for a tour of the full free tool set and how to sequence them.