An Event Tracking Plan for SaaS Products

An event tracking plan defines which user actions your product records, what each one is called and what information travels with it. It sounds like a technical detail, and in one sense it is, but it determines whether your analytics can answer the questions that matter. Without a plan, tracking grows piecemeal. One engineer adds an event called Signup, another adds user_signed_up, a third tracks button clicks named click_1. Properties are missing or inconsistent. Six months later, nobody trusts the data, and every analysis starts with an argument about which event means what.

A good tracking plan prevents that. It gives product, marketing and growth teams a shared, reliable record of what users do, so they can understand onboarding, retention, feature adoption and revenue with confidence. This article explains how to build one for a SaaS product, from the questions it should answer through naming, properties, identification, documentation and maintenance.

We will use the example of a project planning tool for construction subcontractors, which lets teams schedule jobs, assign crews and share progress updates with general contractors. The company has a free trial and charges per user.

Start from the questions you need to answer

The most common mistake in tracking is starting with events rather than questions. Teams try to track everything, end up with hundreds of events and still cannot answer basic questions because the events that matter were never defined carefully.

Start instead by writing down what you need to know. For most SaaS products, the list includes questions such as where new users drop off during onboarding, which features predict long-term retention, how teams adopt the product after the first user signs up, which actions tend to precede an upgrade, and how different acquisition channels affect activation.

For the construction planning tool, the product team adds a few specific questions: how many trial accounts schedule their first job, how quickly crews are invited after an account is created, and whether sharing a progress update with a general contractor correlates with conversion to paid.

Every event in the plan should help answer at least one of these questions. If you cannot connect an event to a question, it probably does not need to be tracked yet.

Identify the key events

With questions in hand, identify the events needed to answer them. It helps to group events into categories.

Account events capture changes to the account and subscription. Typical examples include account_created, user_invited, user_joined, plan_upgraded, plan_downgraded and subscription_cancelled. These events underpin almost every analysis of growth and churn.

Onboarding events capture progress through setup. They might include onboarding_started, integration_connected, data_imported and onboarding_completed. For the construction tool, crew_added and first_job_scheduled are the critical onboarding steps.

Core product events represent the actions that deliver value. These differ by product. A project tool might track project_created and task_completed; a reporting tool might track report_generated; an email tool might track campaign_sent. For the construction tool, the core events are job_scheduled, crew_assigned and progress_update_shared. These are usually the most important events in the plan, because they show whether users are getting value.

Engagement events capture broader usage, such as feature_used, session_started or export_created. They help you understand how deeply and how often people use the product.

Monetization events capture the path to payment, such as pricing_viewed, upgrade_started and payment_completed. They let you see where users hesitate on the way to becoming customers.

Aim for a focused set of events, often a few dozen, rather than hundreds. You can always add more later.

Use consistent naming conventions

Choose a naming convention and apply it to every event. A widely used approach is lowercase words separated by underscores, in an object_action format: project_created, report_generated, user_invited. The object comes first, so related events sort together alphabetically, and the action is in the past tense, since an event records something that has happened.

Avoid vague names such as click, submit or button_pressed. They say nothing about what the user actually did, and they become meaningless when the interface changes. An event should describe a meaningful action in terms of the product, not the mechanics of the interface. job_scheduled stays meaningful even if the button that schedules a job moves to a different screen.

Write the convention down and enforce it in code review. Consistency is far easier to maintain than to restore.

Define event properties

Properties provide the context that makes events useful. An event telling you a job was scheduled is helpful. The same event telling you which plan the account is on, the role of the user who scheduled it, how many crew members were assigned and whether it was created from a template is far more valuable.

Common properties include the plan type, the user's role, the account ID, the name of the feature used, the type of integration and the source of an action. For each property, define its name, its data type and, where possible, its allowed values. If user_role can be owner, admin, foreman or crew_member, list those values so nobody sends Foreman, foreman_user or site lead. Inconsistent property values are one of the most common reasons analytics data becomes hard to use.

Some properties belong on every event, such as account ID and plan type, while others are specific to particular events. Document both.

Identify users and accounts correctly

For B2B SaaS, identification is especially important. Users belong to accounts, often called workspaces, organizations or companies, and most of the important questions are about accounts rather than individuals. Did this company activate? Is this company expanding? Is this company at risk of churning?

Make sure every event is associated with both a user ID and an account ID. Most analytics tools support some form of group or account analytics that lets you analyze behavior at the account level. Set this up from the beginning. Retrofitting account identification onto months of user-level data is painful and often incomplete.

Handle anonymous users carefully as well. Visitors who browse the marketing site before signing up should be linked to their user record once they create an account, so you can connect acquisition sources to later behavior.

Track on the server where it matters

Events can be sent from the browser or app, known as client-side tracking, or from your servers, known as server-side tracking. Client-side tracking is easy to set up and captures interface interactions well, but it can be blocked by browser extensions and is vulnerable to duplicate or lost events. Server-side tracking is more reliable for critical events, such as account creation, upgrades and payments, because it records what actually happened in your system.

A common approach is to track key business events on the server and use client-side tracking for interface-level engagement. For the construction tool, job_scheduled, plan_upgraded and payment_completed are sent from the server, while page views and feature interactions come from the client.

Document the plan in one place

The tracking plan itself should be a single, shared document or spreadsheet listing every event. For each, record its name, a plain-language description of when it fires, its properties with types and allowed values, where it is tracked from, which question it helps answer and who owns it. A simple table works well.

Event	Description	Key properties	Source	Question it answers
job_scheduled	A user schedules a job on the calendar	account_id, plan_type, crew_count, from_template	Server	Do trial accounts reach first value?
progress_update_shared	A progress update is sent to a general contractor	account_id, recipient_count	Server	Does sharing predict conversion?
pricing_viewed	A user opens the pricing page in the app	account_id, user_role	Client	Who considers upgrading?

Make this document the reference for engineers implementing tracking and for anyone analyzing data. When the plan and the implementation disagree, one of them needs to be fixed.

Validate before you trust the data

Before relying on new tracking, check that it works. Trigger each event in a test environment and confirm it arrives with the right name and properties. Many analytics tools have debugging views that show events in real time. After launch, compare event counts with known figures, such as the number of new accounts in your database, to catch missing or duplicated events. Set up simple alerts for sudden drops in key events, which often indicate a tracking bug rather than a real change in behavior.

Govern the plan over time

Tracking plans decay without ownership. Assign someone, often a product analyst or growth lead, to own the plan. Require that new events be added to the plan before they are implemented, and review new tracking as part of feature development. Periodically remove events that are no longer used, and update descriptions when product behavior changes.

When you rename or change an event, document the change and the date, so analysts know where the data's meaning shifts. Silent changes are how teams end up comparing numbers that measure different things.

Connect tracking to the rest of your stack

Event data becomes more valuable when connected to other systems. Send key product events to your CRM so sales and customer success can see account activity. Connect them to your email or lifecycle tools so messages can be triggered by behavior. Feed them into your data warehouse alongside billing and marketing data for deeper analysis. Connecting acquisition data with product events also lets you see which marketing channels, including organic search from an SEO growth program, bring users who actually activate rather than just users who sign up.

Avoid the common mistakes

The mistakes in event tracking are predictable. Teams track everything without a plan and drown in noise. They use inconsistent or vague names. They skip properties or let values drift. They ignore account-level identification in a B2B product. They track critical events only on the client, where they can be lost. They never document the plan, so knowledge lives in one engineer's head. And they never validate, so problems go unnoticed until someone makes a decision based on wrong data.

Bringing it together

An event tracking plan starts with the questions your team needs to answer, identifies the events that answer them, names those events consistently, defines their properties carefully, associates every event with users and accounts, tracks critical events reliably, documents everything in one place and is maintained by a clear owner. For the construction planning tool, a focused plan of a few dozen events is enough to show that trial accounts which share a progress update with a general contractor convert far more often than those that do not, which is the kind of insight that changes how the whole team approaches onboarding.