Note
This guide covers the current version of Skio’s Analytics suite (Analytics V3). If you're using an older version, the information below may not apply.

Before you start

User Permissions: You need Admin or Analytics access in Skio to view and interact with the V3 dashboards. If you don't see the Analytics section in your navigation, contact your account owner to request access.
Data refresh frequency: The dashboards update every four hours. Data for the current day may lag slightly compared to real-time Shopify reporting.
Historical data availability: All historical data has been backfilled when V3 launched. You can analyze past performance with confidence, knowing the numbers reflect what actually happened at that point in time.

What’s included in Skio’s Analytics?

Skio’s Analytics are built to give you fast, reliable insights into your subscription business. Every subscription event is stored in a complete historical timeline, so the data you see today won’t change tomorrow, even if a customer updates or reactivates later.

The analytics suite includes seven focused dashboards that go beyond just reporting what happened. Each one is purpose-built to help you understand why key changes occurred so you can make smarter, faster decisions.

To access the dashboards, navigate to the Analytics tab in the lefthand menu of your Skio dashboard.

What dashboards are available?

Skio provides seven dashboards, each designed to answer specific questions about your business:

Overview: See high-level metrics across your entire subscription business.
Products: Analyze performance by product or variant to spot trends and opportunities.
Dunning: Track failed payments and recovery performance to reduce involuntary churn.
Cohort: Measure retention over time by cohort to understand long-term subscriber behavior.
Cancel Flow: Measures retention effort effectiveness and diagnoses why subscriptions are being cancelled.
Segments: Compare key metrics across different customer groups or subscription types.
Forecasting: Predict future revenue and churn based on historical performance.

Overview Dashboard

This dashboard replaces the Performance tab in Analytics V2. It shows you a complete view of your subscription business health, including detailed breakdowns of how your subscriber and subscription counts changed during the selected period—like new subscriptions, cancellations, pauses, and recoveries.

Learn more and see all the available metrics in our Overview Dashboard guide.

Note
Start here for your daily or weekly business review. The Overview Dashboard gives you the big picture and helps you spot trends that warrant deeper investigation in other dashboards.

Products Dashboard

This dashboard analyzes product performance, inventory needs, and subscription item trends based on total quantities. It shows the total quantity of units on active subscriptions and in orders, with options to group duplicate products by title or SKU. You'll see total and average quantities per subscriber and order, Shipping Interval distribution, and product performance rankings by quantity on subscription.

Learn more and see all the available metrics in our Products Dashboard guide.

Note
Forecast inventory needs, identify top-performing products, and understand subscription frequency preferences.

Dunning Dashboard

This dashboard helps you understand and optimize recovery of failed payments to reduce involuntary churn. It shows subscription outcomes when they exit the dunning cycle (like Recovered, Passively Cancelled, or Actively Cancelled) along with retry progression and error cause analysis. You'll see recovery rates, retry funnel outcomes at each attempt, top error causes, and historically accurate dunning outcomes.

Learn more and see all the available metrics in our Dunning Dashboard guide.

Note
Identify opportunities to improve Payment Recovery by adjusting retry timing, updating dunning email copy, or addressing specific error types. Track Recovery Rate trends to measure the impact of changes to your dunning strategy.

Cohort Retention Dashboard

This dashboard tracks long-term customer value and retention for both subscriptions and subscribers. It shows how groups of customers acquired during specific time periods perform over time. You can create custom cohorts for any date range (like Black Friday shoppers) and track their Lifetime Value, average order value, Churn Rate, LTV projections, retention trends, and performance comparisons across cohorts.

Learn more and see all the available metrics in our Cohort Dashboard guide.

Note
Use this dashboard to understand which acquisition periods drive the highest lifetime value. Analyze acquisition channel performance, evaluate the success of promotional campaigns, or identify your most valuable customer segments.

Cancel Flow Dashboard

This dashboard measures retention effort effectiveness and diagnoses why subscriptions are being cancelled. It shows a complete breakdown of cancellations by source (like Cancel Flow, Merchant Admin, Passive Churn, or Other) with detailed reason analysis and save rate tracking. You'll see total cancellations, save rate percentages, cancellation outcomes by reason, and revenue generated from saved subscriptions.

Learn more and see all the available metrics in our Cancel Flow Dashboard guide.

Note
Optimize your cancel flow by identifying which reasons drive the most cancellations and which save offers perform best. The post-save performance metrics help you understand whether retained customers continue purchasing or churn shortly after.

Forecasting Dashboard

This dashboard provides forward-looking projections for revenue, activations, and cancellations to support inventory, marketing, and financial planning. It uses predictive models to forecast future revenue from active subscriptions, new subscription activations, and expected cancellations, with historical trend adjustments for improved accuracy. You'll also see action analysis showing customer behaviors like skips, pauses, and frequency changes that may impact forecast accuracy.

Learn more and see all the available metrics in our Forecasting Dashboard guide.

Note
Plan inventory orders, set marketing budgets, and forecast cash flow. The historical trends adjustment learns from past performance to correct predictions for your specific site patterns, making forecasts more reliable over time.

Segments Dashboard

This dashboard offers the most granular control, allowing you to create custom segments of subscriptions and analyze their performance and retention KPIs. It provides actionable insights through the Audit Log Table, which tracks specific actions like skips, swaps, discounts, and reactivations, and measures their impact on Lifetime Value, Average Order Count, and Average Revenue Generated compared to subscriptions that didn't take those actions. You'll see custom segment performance, action-specific impact analysis, and dynamic segments that sync nightly to auto-update your cohorts.

Learn more and see all the available metrics in our Segments Dashboard guide.

Note
Test hypotheses about customer behavior, measure the ROI of specific retention tactics, or identify high-value customer segments for targeted campaigns. Dynamic segments make it easy to monitor ongoing performance without manual updates.

How does Skio Analytics handle historical data?

Skio's Analytics foundation is a historical record of every status, product, and interval change. This means past data is static. For example, if a subscription was cancelled on a specific date, that fact is permanent in your historical reports, even if the subscription reactivates later.

Analytics shows exactly what was true at any given moment in time. If a subscription was active in January, your January report will always show it as active even if that subscription later cancelled or changed status.

Why doesn't the Analytics data match what I see in Shopify/another tool?

Discrepancies between the data in Skio Analytics and the data from Shopify or other platforms are often due to differences in how metrics are defined, calculated, or timed. See our guide here for more details: Why is the data different from third-party tools like Shopify?

How often do the Analytics dashboards update?