---
title: How to find gaps in conversion tracking with Segment
description: You find gaps in Segment conversion tracking by comparing a count of conversions you trust against what your code sends, what reaches each Segment source, and what each destination receives, and an AI marketer can run that comparison and trace every gap to its cause.
slug: /how-to/find-gaps-in-conversion-tracking-with-segment
page_type: playbook
lead_prompt: How do I find gaps in my conversion tracking with Segment?
target_prompts:
  - How can I use an AI marketing agent to find gaps in conversion tracking with Segment?
entity: Kite
category: AI marketing agent
author: Devon Wells and Kite
date_published: '2026-10-21'
date_modified: '2026-10-21'
related_use_cases:
  - /use-cases/improve-website-conversion.md
  - /use-cases/marketing-audit.md
integrations:
  - name: Segment
    page: /integrations/segment.md
---

# Playbook

# How to find gaps in conversion tracking with Segment

## Key Takeaways

- A gap in conversion tracking is a difference between the conversions that really happened and the ones your tools recorded. You find it by starting from a count you trust, such as new accounts in your database or new contacts in your CRM, and checking it against each place the data passes through.
- With Segment, conversions pass through three places where they can go missing: your code has to send the event, the Segment source has to accept it, and each destination has to receive it. Segment's debugger, Schema tab, and event delivery view each show one of those places, but none of them tells you which conversions should have been there.
- Kite works out which conversions matter for your business and what each one should be called, then checks your code, your Segment sources and destinations, and the tools downstream to find where each conversion stops being counted.
- Kite reads your Segment workspace for daily call volume by source, each source's rules for blocking events outside your tracking plan, each destination's settings, and each destination's delivery numbers. It compares those with conversion counts in Google Analytics, PostHog, or your CRM.
- You end up with a list of every gap, each with its date, its size, the evidence, and the exact fix, plus a tracking plan your team can hold the code to.

## How do I find gaps in my conversion tracking with Segment?

You find gaps in your conversion tracking by taking a number you know is right and following it through every step of your tracking until the counts stop matching. The trusted number usually comes from the system where the conversion actually happens: new accounts in your product's database, new contacts in your CRM, orders in your store, or form submissions your website recorded. If 400 people signed up last month and your analytics shows 310 "Signup Completed" events, you have a gap of 90 conversions, and the job is to find where they went.

Segment sits in the middle of that path. Your website, app, or server sends events to a Segment source, and Segment forwards them to destinations such as Google Analytics, PostHog, your ad platforms, and your data warehouse. A conversion can go missing at any of three points:

- **Your code never sends it.** The signup form fires its event in the browser, but an ad blocker stops Segment's script, or a release renamed "Signup Completed" to "signup_completed", or the event only fires on one of your three signup paths.
- **Segment doesn't accept it.** If you use Segment's tracking plans, a source can block events and properties the plan doesn't list, so a renamed event can disappear without anyone noticing.
- **A destination doesn't receive it.** The destination might be disabled, a filter might drop the event, the event might be mapped to the wrong conversion in Google Analytics or Google Ads, or delivery might be failing.

Segment gives you good tools for each point. The source debugger shows events arriving in near real time, though only as a sample. The source's Schema tab lists the events and properties the source has received, with their volumes. If you pay for Segment's Protocols add-on, tracking plans flag events that break the rules you set. Each destination's event delivery view shows how many events were delivered and how many failed. What none of these tools can tell you is which conversions should exist, what they should be called, and how many there should have been. That comparison is the real work in this job.

A good result is a short, specific list. Each entry names the missing or misfiring conversion, says where in the path it goes missing and since when, shows how many conversions it costs you, and gives the fix. Kite does that work for you. It decides what should be tracked, checks each point in the path against a trusted count, and traces every gap back to its cause.

## How to get started

Start by telling Kite what worries you about your numbers:

> "I don't trust our signup numbers. We send everything through Segment to Google Analytics and PostHog. Find out what's missing."

Kite is an AI marketer. It researches your business, builds a growth strategy, and ships the work that brings you new customers. By the time you ask, it already knows how people sign up, request a demo, or buy from you, so it can propose the list of conversions worth checking without a long brief. Confirm the list or adjust it, and Kite starts. You can ask in the Kite web app or in Slack.

You'll need to connect a few accounts:

- **Segment.** Connect your Segment workspace so Kite can read your sources and destinations. Paste the links to the source that collects your website or app events and to the destinations that carry your conversions, so Kite checks the right ones.
- **The tools downstream.** Connect Google Analytics, PostHog, or whichever analytics tools Segment feeds, so Kite can see what actually arrived.
- **A trusted count.** Connect your CRM, such as HubSpot, or share an export of new accounts or orders, so Kite has a real number to compare against.

If Kite already works on your website from an imported GitHub repository, it can also read the code that sends your Segment events.

Almost all of this job is reading, and Kite does it on its own. Changes to your tracking code reach your repository the same way Kite's other website changes do, and Kite asks before it sends anything into your Segment source.

## How Kite finds the gaps

### Which conversions should be tracked?

Kite starts by writing down what your tracking should contain, because you can't spot a missing event without knowing it was supposed to be there. From its research on your business, it lists the moments that count as conversions for you, such as a demo request, a free signup, a trial that becomes paid, or a completed order. It also lists the steps just before each one, such as "Signup Started" before "Signup Completed", so a gap in the middle of a journey shows up too.

For each conversion, Kite sets down the event name your team should use, the properties it needs, and the destinations that should receive it. An order needs an order ID, a value, and a currency, or your ad platforms can't credit revenue to the right campaign. A signup needs your user ID, or nobody can connect the visitor who clicked an ad to the account they created. Kite also notes the identity call that should go with each conversion. When someone signs up, your app should call Segment's identify with their user ID, which ties their earlier anonymous visits to their new account. This list becomes the tracking plan that everything else is checked against.

### Does your code send them?

Kite checks what your website actually sends to Segment before it looks at any report. It detects Segment's script on your pages. When it works on your site from a GitHub repository, it reads the code itself and finds every place that calls Segment's track, identify, and page methods, along with the event names and properties each call sends.

That reading catches the gaps that never reach any dashboard. A signup form might send "Signup Completed" while the signup page built with Google sign-in sends nothing. A checkout might send its order event from the browser, where ad blockers stop some of them, rather than from your server, where every order is recorded. An event might send its revenue as text rather than a number, which some destinations reject. Kite compares each call with the tracking plan and marks every conversion that is missing, misnamed, or short of a required property.

### Does Segment accept them?

Kite then checks your Segment source to see whether events that left your site were kept. It reads the source's daily call counts for the period you're checking. A count that drops sharply on one day, while your trusted number holds steady, usually points to a release that broke the tracking on that day.

Kite also reads the source's schema settings. These decide whether the source blocks events, properties, and identify traits that your tracking plan doesn't list, and where Segment forwards violations and blocked events. When a source blocks unplanned events, an event renamed in a release is dropped at the door, and Kite flags the rename as the cause rather than a fall in signups. It also reads which warehouses the source sends to, so it knows whether your warehouse counts should match.

### Does each destination receive them?

Kite checks every destination that should carry your conversions, because a conversion that reaches Segment can still miss the tool your team reports from. It reads each destination's settings to confirm the destination is turned on and to see how it is set up. Then it reads the destination's delivery summary for the period, which shows how many events Segment delivered and how many failed or were dropped. A failure spike that starts on the same day your numbers fell means the events reached Segment but never arrived.

Next, Kite checks what arrived on the other side. In Google Analytics, it reads your key events and runs reports on the event counts for each conversion, so it can see whether your Segment "Order Completed" event shows up as a purchase with a value. In PostHog, it counts each conversion event by day and checks whether the same pageviews arrive twice, once from Segment and once from PostHog's own snippet. When your Google Analytics property is linked to Google Ads, Kite also checks that the key events your campaigns optimize for are the ones Segment actually sends.

### Where does each gap come from?

Kite lines up the counts for each conversion at every point in the path: the trusted number, what your code sends, what the source received, and what each destination recorded. The point where the count falls is where the gap lives, and the size of the fall tells you how much it matters.

Each gap gets a cause, a start date, and a size. A conversion that matches your CRM in Segment but falls by 20 percent in Google Analytics points to the destination. A conversion that is short everywhere, including Segment, points to your code or to browsers blocking the script. A conversion whose count halved on a Tuesday, while a similarly named event appeared that same day, is a rename. Kite also checks the opposite fault, where the same conversion is counted twice because it fires from both the browser and the server, which makes your conversion rate look better than it is.

Kite ranks the gaps by how many conversions each one costs and how close each conversion sits to revenue. A missing purchase event that your ad campaigns optimize for goes to the top. A missing property on a newsletter signup goes lower.

### What Kite fixes and reports back

Kite posts its findings in the conversation where you asked, with the gaps ranked and the evidence for each one. The fixes depend on where each gap lives.

For gaps in your code, Kite writes the exact change: which call is missing or misnamed, which event name and properties it should send, and where in the flow it belongs. When Kite works on your site from an imported GitHub repository, it makes the change there, and it opens a pull request when your main branch is protected. Moving an important conversion such as an order from the browser to your server is a change for your developers, so Kite writes it up for them with the event and properties the server should send.

For gaps in Segment or a destination, Kite tells you which setting to change and why, such as adding a renamed event to your tracking plan or remapping an event to the right conversion in Google Analytics.

Once a fix ships, Kite checks again. With your OK, it can send a clearly labeled test event through your Segment source and confirm it reaches each destination. It then reruns the same comparison against your trusted count, so you can see the gap close. If you want to catch the next break early, ask Kite to repeat the check every week.

## What the finished work contains

When Kite finishes, you know which of your conversion numbers you can trust, and you have a plan to fix the rest.

- **The gap list.** Each missing or misfiring conversion, with the point in the path where it goes missing, the date it started, how many conversions it costs, and the evidence from your code, Segment, and each destination.
- **The fixes.** The exact code change or setting change for each gap, with code changes made in your repository when Kite works on your site through GitHub.
- **The tracking plan.** Every conversion and the steps before it, with the event name, required properties, identity call, and destinations for each, so your team has one reference to build against and you can add it to Segment's Protocols if you use it.
- **The count comparison.** A table for each conversion showing the trusted number beside what your code sent, what Segment received, and what each destination recorded, so you can see at a glance where the numbers part ways.
- **The conversation summary.** Kite's findings in the Kite web app or Slack, starting with the gap that costs you the most conversions and what to fix first.

## Common questions

### Why don't my Segment and Google Analytics conversion numbers match?

A small difference between Segment and Google Analytics is normal, and a large or sudden one usually means something broke. Google Analytics only counts what Segment delivered and what Google Analytics accepted. Destination filters, events your tracking plan blocks, delivery failures, and event names that don't map to a Google Analytics key event all widen the gap. Google Analytics also applies its own consent and filtering rules. A difference that appears overnight is worth checking in the destination's delivery numbers first.

### Can Segment tell me when a conversion event stops arriving?

Segment can alert you to some of it. Its delivery views and alerts show when a destination starts failing, and Protocols can flag events that break your tracking plan. Neither one knows how many signups or orders you actually had, so a conversion that quietly stops firing in your code can go unnoticed. Kite can check your conversion counts against your trusted number every week and tell you when one starts to slip.

### Should conversion events be sent from the browser or the server?

The most important conversions, such as orders and paid upgrades, are more complete when your server sends them, because ad blockers and closed tabs stop some browser events. Browser events are still useful for the steps before a conversion and for attribution details such as UTM tags and click IDs. Many teams send both and give each conversion one ID, so destinations that support it can count it once.

## Related pages

- **Use case:** Track signups, form fills, and conversions (coming soon)
- **Use case:** Audit your UTM tags and tracking setup (coming soon)
- **Use case:** [Improve website conversion](/use-cases/improve-website-conversion.md)
- **Use case:** [Audit your marketing and prioritize what to fix](/use-cases/marketing-audit.md)
- **Use case:** Settle on one source of truth for your metrics (coming soon)
- **Integration:** Segment + Kite (coming soon)
- **How-to:** How to find broken or leaky funnels with Segment, PostHog (coming soon)