# Shopify Session Measurement Update: How To Read Your Reports After The Change

Source: https://in-store.ca/blog/shopify-session-rule-changes
Published: 2026-09-25

Reviewed by: Andrew Liashok, Client Service Director, IN-STORE (https://in-store.ca/team/meet-andrew)
Publisher: IN-STORE, Toronto, Canada

> Shopify’s session measurement update may shift session counts Sept 21 to 23. Here is how to annotate reports and compare periods safely.

## How The Session Measurement Update Affects Trendlines, Bot Filtering, And Reporting Annotations

If you use Shopify Analytics for weekly marketing decisions, the fastest way to lose confidence is to watch sessions move without a matching change in leads or sales. When tracking rules change, the risk is not the change itself. The risk is misreading performance and making budget or channel decisions off a broken comparison.

Shopify published guidance on a session measurement update, including new session rules and default bot filtering, and noted that session counts may shift from Sept 21 to 23. For owners and lean marketing leads, the practical job is to mark the change clearly in reporting, then compare performance in a way that keeps conclusions grounded.

## What Shopify Changed In Session Measurement

### New Session Rules And Default Bot Filtering

Shopify’s Help Center describes a session measurement update that includes new session rules and default bot filtering. The immediate reporting outcome Shopify flags is that Shopify Analytics session counts may shift from Sept 21 to 23.

For a service business, this matters because sessions often act as the top line input into marketing reviews. They shape how teams talk about demand, channel health, and whether a campaign is working. A measurement change can move the session number even when customer intent and lead volume stay steady.

### Why This Creates “Discrepancies” In Reports

Shopify positions this guidance under discrepancies, which signals the core issue: you can end up with two adjacent time periods where sessions were measured under different rules. When that happens, raw week over week session comparisons stop being clean, even if everything else in your marketing and site experience remains the same.

A second order implication is internal trust. If leadership sees sessions drop or spike and nobody can explain the measurement change, the conversation can turn into channel blame or vendor blame. A simple, documented annotation prevents that.

## How To Annotate Reports So You Do Not Misread Performance

### Put The Annotation Where Decisions Get Made

Start by adding a clear note wherever your team reviews performance. The note should use Shopify’s own wording so it stays unambiguous: “session measurement update”, plus “new session rules” and “default bot filtering”, and it should reference Shopify’s stated window that session counts may shift from Sept 21 to 23.

This is less about compliance and more about operational clarity. Your goal is that, months later, someone looking at the chart understands why the line moved and does not attribute it to a campaign change that never happened.

### Split Analysis Into Pre Update And Post Update Views

For trend analysis, treat the update as a line break in your reporting story. Keep a “pre update” view and a “post update” view so each period is internally consistent. You can still show the full timeline, but avoid making the update week the decisive evidence for performance improvement or decline.

When you need to compare periods across the change, focus the comparison on business outcomes you already track alongside sessions, such as leads or orders, and read sessions as context rather than the core scoring metric for that specific cross period comparison. This reduces the chance that a measurement shift gets mistaken for a true change in demand.

### Call Out Any Knock On Effects In Ratios You Share

If you regularly share ratio based metrics that use sessions as a denominator, like a sessions vs conversion rate view, plan for that ratio to move if sessions move. The practical step is to label the ratio for the update week and explain that the denominator is under updated session rules and default bot filtering.

This is where teams often get tripped up. A perfectly stable lead volume can look like a conversion change when sessions move. Making the ratio caveat explicit keeps stakeholders from drawing the wrong conclusion about offer quality, traffic quality, or landing page performance.

## A Practical Comparison Method For Sept And After

### Handle The Shift Window As An Exception Period

Shopify explicitly warns that session counts may shift from Sept 21 to 23. Treat that window as its own exception period in your reporting. When you do weekly summaries, flag that the week includes a measurement change and avoid using it as the baseline week for future comparisons.

### Use A Two Layer Review: Marketing Story, Then Measurement Story

Run reviews in two passes. First, tell the marketing story using what you changed: new creative, new offer, new landing page, new targeting, or new content. Second, overlay the measurement story: Shopify’s session measurement update, with new session rules and default bot filtering, and the Sept 21 to 23 shift window. If the session move aligns with the measurement story more than the marketing story, treat it as a reporting artifact unless your downstream outcomes moved in the same direction.

This approach is especially useful for small teams because it stops firefighting. You keep attention on controllable inputs and on the outcomes that matter, then treat analytics measurement changes as context that requires careful reading.

## What To Do Next If You Manage Reporting For Clients Or Leadership

### Update Your Reporting Template Once

Make the annotation a permanent part of the timeline for Shopify Analytics. Add a brief footnote section for “measurement notes” so future platform changes have a consistent place to live. This prevents weeks of repeated explanation each time a chart is reused in a deck.

### Bring Your Audience Research Into The Conversation

If you are seeing volatility in sessions while lead quality stays consistent, it can be a good moment to strengthen what you know about who is visiting and why. Tight audience research makes your reporting more resilient because it gives stakeholders an explanation rooted in customer intent and offer fit, rather than one top line traffic number.

IN STORE teams often pair audience research with lead generation systems so the session trendline is only one part of the picture, alongside lead capture performance and follow up workflow health.

Session counts are still useful, but platform measurement changes require cleaner reporting habits. Mark the session measurement update clearly, treat Sept 21 to 23 as an exception window, and keep pre update and post update analysis separate so decisions stay grounded.

If you want help turning Shopify reporting into a weekly operating system for lead flow, explore IN STORE’s [marketing, research, and lead generation systems support](https://intake.in-store.ca/services).

Get hands-on help implementing these reporting steps and annotations: [Explore IN STORE services](https://www.in-store.ca/).

Source: [Shopify Help Center](https://help.shopify.com/en/manual/reports-and-analytics/discrepancies/session-measurement-update)