> ## 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. # Total Orders, Shopify > Total Orders 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 > Count of orders placed in the period. The most fundamental volume metric, the denominator that AOV, refund rate, fulfillment rate, and most other ratios sit on top of. | | | | ----------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- | | **What it counts** | `COUNT(orders)`. Each `Order.id` row contributes one. | | **API endpoint** | `Admin GraphQL. Order.id`. | | **VAT / tax treatment** | Not applicable (count metric). | | **Shipping** | Not applicable. | | **Discounts** | Not applicable. | | **Refunds** | NOT deducted. A fully-refunded order still counts. To exclude refunds, use a fulfilled-only filter. | | **Cancelled / voided orders** | Included. To exclude, filter `cancelledAt IS NULL`. The default is intentional: cancelled orders represent demand that came in, even if it didn't convert. | | **Currency** | Multi-currency safe (count, not money). | | **Channels / sources** | Not filtered. Online + POS + Buy Button + marketplace channels all contribute. | | **Test orders** | Currently NOT filtered. Test orders inflate count slightly for stores that frequently test (rare in production). | | **Time window** | `30D vsP` (default 30D vs the prior 30D) | | **Alert trigger** | `drop >15% vsP`, sustained order-count drop indicates revenue risk | | **Roles** | owner, marketing, operations | ## Calculation ``` COUNT(_id) WHERE date BETWEEN [period_start, period_end] ``` ## Worked example A US apparel brand on Shopify Plus. Period: 12 Apr 26 to 11 May 26. | Sales channel | Order count | Share | | --------------------------- | ----------- | -------- | | Online Store | 5,120 | 74.9% | | Shop POS (4 retail outlets) | 1,240 | 18.1% | | Buy Button (3rd-party site) | 89 | 1.3% | | TikTok Shop | 391 | 5.7% | | **Total orders** | **6,840** | **100%** | vs the prior 30D where total orders = 7,420. The card flags a **7.8% drop** (below the 15% trigger threshold but worth investigating). Five things to notice: 1. **The drop is concentrated in Online Store.** 5,120 vs prior 5,820 (-12.0%). POS is roughly flat. The acquisition / paid-channel issue is online-specific. 2. **TikTok Shop is now 5.7%, growing.** 391 vs prior 240 (+62.9%). Newer channel scaling fast; even a slow Online Store can be offset by emerging channel growth. 3. **POS resilience is the diversification lesson.** Multi-channel brands cushion online ad-channel volatility with retail / POS revenue. Single-channel DTC brands face the full headwind when Meta / Google CAC spikes. 4. **Refund-corrected order count is similar but not identical.** \~5% of orders refund; fully-refunded orders still count here. To see "kept orders" only, filter `displayFinancialStatus != REFUNDED`. 5. **Cancellations included.** \~1% of orders cancel; cancelled orders still contribute. To see "shipped orders" only, filter `displayFulfillmentStatus = FULFILLED`. ## Sibling cards merchants should reference together Order count is rarely useful alone. Pair with these: | Card | Why pair it with Order Count | What the combination tells you | | ------------------------------------------------------------------------------------------------- | ---------------------------- | ------------------------------------------------------------------------------------------------------------ | | [Total Revenue](/nerve-centre/kpi-cards/shopify/total-revenue) | Revenue counterpart. | Revenue ÷ orders = AOV. | | [AOV](/nerve-centre/kpi-cards/shopify/average-order-value) | Per-order spend. | The product of order count × AOV = revenue; the decomposition. | | [Customer Count](/nerve-centre/kpi-cards/shopify/unique-customers) | Unique customers. | Orders ÷ customers = orders per customer (frequency). | | [Orders Over Time](/nerve-centre/kpi-cards/shopify/orders-over-time) | Timeseries. | Daily shape pinpoints when the count moved. | | [New Customers](/nerve-centre/kpi-cards/shopify/new-customers) | New vs returning split. | New-customer share × order count = new-acquisition orders. | | [Cancellation Rate](/nerve-centre/kpi-cards/shopify/cancellation-rate) | Cancellation share. | Order count includes cancellations; net orders = total × (1 - cancel rate). | | [`google_analytics.ga_purchases_trend`](/nerve-centre/kpi-cards/google-analytics/purchases-trend) | Cross-platform order count | GA4 sees purchase events; Shopify sees orders; should match within 5-15% (ad blockers, cookie consent gaps). | | [`bigcommerce.order_count`](/nerve-centre/kpi-cards/bigcommerce/total-orders) | Same definition. | Documentation cross-link. | | [`adobe_commerce.order_count`](/nerve-centre/kpi-cards/adobe-commerce/total-orders) | Same definition. | Documentation cross-link. | ## Reconciling against the vendor's own dashboard **Where to look in Shopify Admin:** [Analytics → Reports → "Orders over time"](https://admin.shopify.com/reports/orders_over_time) → set the date range. Headline count should align with this card to within sync-lag tolerance. Other Shopify Admin views: * **Analytics → Dashboards → Overview**: the headline orders tile. * **Orders → All orders**: filter by date range, count manually. * **Reports → Sales by channel**: per-channel order counts. **Why our number may legitimately differ from Shopify Admin:** | Reason | Direction | Why | | -------------------- | ---------------------- | -------------------------------------------------------------------------------- | | **Time zone** | Boundary days | Standard time-zone gap. | | **Test orders** | Ours slightly higher | We do not yet filter `Order.test = true`. | | **Channel filter** | Either | Shopify can be filtered by channel; this card aggregates. | | **Cancelled orders** | Both include | Both include; status-filtered views in Shopify Admin can show different numbers. | | **Sync lag** | Ours lower for "today" | 5 to 15 minute index lag. | **Cross-connector reconciliation:** | Card | Expected relationship | What causes legitimate divergence | | ------------------------------------------------------------------------------------------------- | --------------------------------------------------- | ------------------------------------------------------------------------------------------ | | [`google_analytics.ga_purchases_trend`](/nerve-centre/kpi-cards/google-analytics/purchases-trend) | GA4 purchases ≈ Shopify orders × (1 - tracking-gap) | Ad blockers, cookie consent rejection, tag-fire failures cause GA4 to undercount by 5-25%. | ***
Same-metric documentation cross-reference (for agencies running multiple platforms) The same definition lives on other commerce platforms. Cross-platform navigation only. * [`bigcommerce.order_count`](/nerve-centre/kpi-cards/bigcommerce/total-orders) * [`adobe_commerce.order_count`](/nerve-centre/kpi-cards/adobe-commerce/total-orders)
## Known limitations / merchant FAQs **Why is my order count dropping?** Three usual culprits, ranked by likelihood: 1. **Paid traffic pulled back.** A Meta or Google CPM spike, a campaign paused, or a creative burning out reduces the top-of-funnel and orders follow within 3 to 7 days. Cross-reference the corresponding ad-platform spend trend. 2. **Conversion-rate regression.** A site change (redesign, header swap, checkout app update) silently broke add-to-cart or checkout. Pair with [Conversion Rate](/nerve-centre/shopify/ecommerce_conversion_rate) and [Checkout Failure Rate](/nerve-centre/shopify/checkout_failure_rate). If sessions held but orders fell, the issue is on-site. 3. **Comparable-period seasonality.** A 30D vsP comparison straddling Black Friday, Boxing Day, or Easter produces drops that look alarming but are mechanical. Always check whether the prior period included a known peak before reacting. **Are test orders included?** Yes, currently. Shopify's `Order.test = true` flag is not yet filtered. For most production stores this contributes 0 to 5 orders a month and is invisible. If you actively use test orders for QA (a dev partner running cart-flow regression tests), you may see a spike in this card after a release week. The roadmap includes a `test = true` filter; in the meantime, exclude them in the Shopify Admin Orders list filter when reconciling. **Does each Shopify Subscriptions billing count as a separate order?** Yes. A monthly subscription customer paying for 12 months generates 12 distinct `Order.id` rows, each contributing 1 to this card. This is the same behaviour as Shopify Admin's *Orders over time* report. If you want to see the *first* order per customer, use [New Customers](/nerve-centre/kpi-cards/shopify/new-customers) which de-duplicates by `customer.id`. **B2B / wholesale orders, do they count the same?** Yes, every B2B Edition order with `purchasingEntity = PurchasingCompany` increments this card. If your store mixes DTC and B2B and you want to view them separately, filter the Shopify Admin Orders list by `tag:wholesale` (or whatever convention you use) to compare. The card itself does not yet split by purchasing-entity type. **Why does my POS-heavy store show order counts so different from my online competitor's?** POS orders count here. A retail-and-online brand running 4 till locations easily adds 1,000 to 3,000 orders a month from POS that pure-DTC brands don't have. Order count comparisons across business models are misleading without channel-splitting; use Shopify Admin's *Sales by channel* report for the channel-specific view. **Refresh cadence?** Webhook-driven, with a 5 to 15 minute index lag. The `today` figure on this card lags slightly behind the Shopify Admin Orders list; everything older than 30 minutes is fully caught up. **The card jumped overnight, what should I check first?** Open [Orders Over Time](/nerve-centre/kpi-cards/shopify/orders-over-time) and look at the daily shape. A single-day spike is usually a sale, a flash promotion, or a viral moment; a step-up in the baseline is a channel scaling (TikTok Shop, a new partner). A drop is the same exercise in reverse; the daily granularity tells you which day broke from trend. *** ### Tracked live in Vortex IQ Nerve Centre *Total Orders* 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.