> ## Documentation Index > Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Weekend vs Weekday, Shopify > Weekend vs Weekday for Shopify stores. Tracked live in Vortex IQ Nerve Centre. How to read it, why it matters, and how to act on it. **Metrics type:** [Supporting Metrics](/nerve-centre/overview#metrics-types-explained) • **Category:** [Ecommerce Platform](/nerve-centre/connectors#connectors-by-type) ## At a glance > Revenue split into two buckets: weekday (Mon-Fri) vs weekend (Sat-Sun). The simplest temporal pattern card; tells you whether the business is workday-driven or leisure-driven. | | | | ----------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | | **What it counts** | Two-bucket aggregation: `SUM(totalPrice WHERE day_of_week IN (Mon..Fri))` and `SUM(totalPrice WHERE day_of_week IN (Sat,Sun))` over the 90D window. | | **VAT / tax treatment** | Inherits store mode. | | **Shipping** | Included. | | **Discounts** | Deducted (post-discount). | | **Refunds** | NOT deducted. Original-order day determines the bucket. | | **Cancelled / voided orders** | Included if Shopify indexed them. | | **Currency** | Multi-currency arithmetic without FX. | | **Channels / sources** | All channels. POS skews retail-hours; B2B skews weekday; impulse-channels (TikTok) skew weekend evenings. | | **Time window** | `90D` (default 90D rolling) | | **Alert trigger** | None; descriptive split. | | **Roles** | owner, marketing | ## Calculation Calculated automatically from your Shopify data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading. ## Worked example A UK fashion DTC brand on Shopify, single warehouse. 90D window 12 Feb 26 to 12 May 26. | Bucket | Days in window | Revenue | Avg per day | Share | | ----------------- | -------------- | -------------- | ----------- | -------- | | Weekday (Mon-Fri) | 65 | £758,200 | £11,665 | 73.7% | | Weekend (Sat-Sun) | 26 | £270,800 | £10,415 | 26.3% | | **Total** | **91** | **£1,029,000** | **£11,308** | **100%** | If revenue were uniformly distributed across the 7 days, weekend share would be 2/7 = 28.6%. Actual weekend share is 26.3%, so weekday is slightly over-indexed. Six things to notice: 1. **Weekday-skewed for fashion DTC.** Common pattern; customers shop ahead of weekend wear. The 73.7% / 26.3% split with weekday over-index of \~3 ppt is healthy for the category. 2. **Per-day weekend is lower.** £10,415/day weekend vs £11,665/day weekday. The shape is "weekday peak with weekend cool-down". Customers physically engage in weekend life rather than browsing online. 3. **Saturday and Sunday differ.** This card aggregates them; use [Revenue by Day of Week](/nerve-centre/kpi-cards/shopify/revenue-by-day-of-week) for the split. Saturday usually slightly higher than Sunday (people buy ahead of the week). 4. **Inverted patterns exist.** Some categories (food/grocery, weekend hobby gear, wellness, leisure) show weekend-over-index. If yours does, ad budget should pace toward Fri-Sat-Sun. 5. **POS retail can flip the pattern.** Weekend POS revenue from pop-up shops can swing the headline. A brand with 30% retail share that does 60% of retail on weekends will look more weekend-skewed than the pure online story warrants. 6. **Email send-time strategy.** Weekday-skewed brands should focus email volume Tue-Thu; weekend-skewed brands should focus Fri-Sat. The split tells you which calendar to optimise around. ## Sibling cards merchants should reference together The two-bucket weekday/weekend view. Companions: | Card | Why pair it with Weekend vs Weekday | | -------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------- | | [Revenue by Day of Week](/nerve-centre/kpi-cards/shopify/revenue-by-day-of-week) | The 7-day cousin; reveals which specific day drives the bucket. | | [Peak Order Hours](/nerve-centre/kpi-cards/shopify/peak-order-hours) | The within-day cousin; weekend hours often differ from weekday hours. | | [Revenue by Hour](/nerve-centre/kpi-cards/shopify/revenue-by-hour) | £-version of peak hours. | | [Revenue Over Time](/nerve-centre/kpi-cards/shopify/revenue-over-time) | Trend dimension; the weekday/weekend split can be stable while overall revenue trends. | | [Total Revenue](/nerve-centre/kpi-cards/shopify/total-revenue) | Aggregate context. | | [Revenue by Channel](/nerve-centre/kpi-cards/shopify/revenue-by-channel) | POS-heavy channels weight weekends; pure online weights weekdays. | ## Reconciling against the vendor's own dashboard **Where to look in Shopify Admin:** Shopify doesn't have a dedicated weekend/weekday split. Reconstruct from: * **Analytics → Reports → "Total sales over time"** with daily granularity; group manually into weekday vs weekend. * **Apps like Glew, Polar Analytics**: typically expose this split. **Why our number may legitimately differ:** | Reason | Direction | Why | | -------------------- | ---------------------- | ---------------------------------------------------------------- | | **Time zone** | Boundary | UTC vs store time zone; orders near midnight bucket differently. | | **Refund treatment** | Either | We use original-order date; Shopify Net Sales differs. | | **Multi-currency** | Aggregate distortion | We don't FX-normalise. | | **Channel filter** | Either | Reports filtered to "Online Store" only differ from blended. | | **Sync lag** | Ours lower for "today" | Most-recent 5-15 min may not be in. | **Cross-connector reconciliation:** | Card | Expected relationship | What causes legitimate divergence | | ------------------------------------------------------------------------------------------------------ | --------------------- | -------------------------------------------------------- | | [`google_analytics.ga_revenue_by_dow_bucket`](/nerve-centre/google_analytics/ga_revenue_by_dow_bucket) | Should track shape | GA4 misses 10-25% of orders; level lower, shape similar. | ***
Documentation cross-reference (for agencies running multiple platforms) * [`bigcommerce.shp_weekend_weekday`](/nerve-centre/bigcommerce/shp_weekend_weekday) * [`adobe_commerce.shp_weekend_weekday`](/nerve-centre/adobe_commerce/shp_weekend_weekday)
## Known limitations / merchant FAQs **What's a healthy weekday/weekend split?** Category-dependent: * **Fashion / lifestyle DTC**: 70-78% weekday (people shop ahead of weekends). * **Food, grocery, weekend leisure**: 50-60% weekend-leaning. * **B2B / wholesale**: 90%+ weekday; minimal weekend. * **Subscription consumables**: \~75% weekday (billing cycles weight it). * **Impulse-driven (TikTok, social commerce)**: 50-60% weekend. **Why is my weekend share higher than expected?** Three usual causes: 1. **POS / retail presence**: weekend retail traffic skews the bucket. 2. **Social-commerce channels**: TikTok and Instagram Shop weekend evenings. 3. **Subscription billing alignment**: if subscriptions billed Friday-Saturday, the weekend bucket inflates. **Why is my weekend share lower than expected?** Three usual causes: 1. **B2B-heavy mix**: weekday-only ordering. 2. **Email-driven conversion**: most email opens are Tue-Thu, driving weekday peaks. 3. **Bank holidays and long weekends**: in the 90D window, multiple bank holidays compress the weekday bucket. **Are bank holidays counted as weekday or weekend?** Whatever calendar day they fall on. UK Easter Monday counts as weekday (Monday) here even though it's a leisure day. For more accurate cultural mapping, use the day-of-week breakdown alongside. **My subscription store, do recurring billings inflate weekday?** Often yes. Default subscription billing days frequently land Tue-Thu (admin-friendly). The weekday bucket includes these; subscription-heavy brands look more weekday-skewed than their organic-purchase pattern warrants. **Should I run sales on weekends?** Depends on your shape. If you're already weekday-over-indexed, weekend sales can balance the curve; if weekend is the natural peak, there's no need to discount further. Test both, measure profit not just volume. **Action playbook for using this split:** 1. **Email send-time**: weekday-skewed → Tue-Thu sends. Weekend-skewed → Fri-Sat. 2. **Ad-spend pacing**: align with the split; don't over-spend on the lower-revenue bucket unless conversion-rate is meaningfully better. 3. **Customer-service staffing**: skew to the buy-bucket plus 24-48h lag. 4. **Inventory replenishment**: weekend-deplete + Mon-restock cycle for weekend-heavy stores. 5. **Promo timing**: launch new collections to align with the natural buying window. *** ### Tracked live in Vortex IQ Nerve Centre *Weekend vs Weekday* is one of hundreds of KPI pulses Vortex IQ tracks across Shopify and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. [Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.