> ## 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 Transactions, GoCardless

> Total Transactions for GoCardless 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:** [Payment Gateway](/nerve-centre/connectors#connectors-by-type)

## At a glance

> The **count** of confirmed GoCardless bank-debit payments in the period. Highly periodic (monthly billing-day clusters for SaaS subscriptions). Each `/payments` row with `status = confirmed` is one transaction, regardless of value.

|                      |                                                                                                                                                        |
| -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **What it counts**   | `COUNT(/payments WHERE status = confirmed)`. One row per payment, across all schemes.                                                                  |
| **API endpoint**     | [`GET /payments`](https://developer.gocardless.com/api-reference/#core-endpoints-payments).                                                            |
| **Currency**         | Currency-neutral (count).                                                                                                                              |
| **Refunds**          | NOT subtracted from the count.                                                                                                                         |
| **Indemnity claims** | A subsequent indemnity / chargeback removes the payment from `confirmed` and moves to `charged_back`; this changes the historical count retroactively. |
| **Failed payments**  | Excluded. Lifecycle: `pending_submission`, `submitted`, `confirmed`, `failed`, `cancelled`, `charged_back`, `paid_out`.                                |
| **Time window**      | `30D vsP`.                                                                                                                                             |
| **Alert trigger**    | `drop >15% vsP`, paired with `revenue_trend`.                                                                                                          |
| **Roles**            | owner, finance, operations                                                                                                                             |

## Calculation

Calculated automatically from your GoCardless data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.

## Worked example

30 days for Northstar Analytics (UK B2B SaaS), 03 Apr 26 to 02 May 26:

| Scheme              | Confirmed payments | Avg per payment |
| ------------------- | ------------------ | --------------- |
| BACS Direct Debit   | 308                | GBP 254.55      |
| SEPA Core           | 55                 | EUR 258.18      |
| SEPA B2B            | 12                 | EUR 800.00      |
| -                   | -                  | -               |
| **Total confirmed** | **375**            | -               |

Reads:

1. **Heavy concentration on BACS billing days.** SaaS subscriptions typically bill on the 1st and 15th; the 308 BACS payments are clustered on those two days plus a few smaller mid-month dates.
2. **SEPA B2B count of 12 is small but high-value.** Annual prepayments for enterprise customers; once-a-year cycle.
3. **Mandate-active vs payments-confirmed gap of 380 - 375 = 5 customers.** Either failed (4 BACS `INSUFFICIENT_FUNDS`) or still in flight (1 SEPA mandate dispute).

## Sibling cards merchants should reference together

| Card                                                                               | Why pair                                                            |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------- |
| [`goc_total_volume`](/nerve-centre/kpi-cards/gocardless/total-volume)              | Volume / count = average.                                           |
| [`goc_avg_transaction`](/nerve-centre/kpi-cards/gocardless/average-transaction)    | The per-payment view.                                               |
| [`goc_volume_trend`](/nerve-centre/kpi-cards/gocardless/volume-trend)              | Daily count is the cleanest seasonality signal for monthly billing. |
| [`goc_success_rate`](/nerve-centre/kpi-cards/gocardless/success-rate)              | Successful / attempted ratio.                                       |
| Stripe [`stripe_transaction_count`](/nerve-centre/stripe/stripe_transaction_count) | Cross-PSP comparison.                                               |

## Reconciling against the vendor's own dashboard

**Where to look in the GoCardless Dashboard:**

> **Payments → All payments** (filter "Confirmed"). Count visible at the top.

**Why ours may differ:**

| Reason           | Direction                                              |
| ---------------- | ------------------------------------------------------ |
| Time zone        | Boundary days                                          |
| Confirmation lag | Today's submissions confirm in 2, 5 days               |
| Indemnity flip   | A claimed payment removed from confirmed retroactively |

**Cross-connector reconciliation:** for SaaS merchants running both GoCardless and Stripe, the sum of payment counts should equal the active customer count × billing frequency, less churn.

## Known limitations / merchant FAQs

**"Why is the count clustered on certain days?"**
SaaS subscriptions bill on fixed days (1st, 15th, anniversary date). DD volume is highly periodic vs card volume which is more uniform across the month.

**"My count dropped 20%, churn?"**
Possible. Open the underlying mandate count: if active mandates dropped, customers churned. If active mandates held but confirmed payments dropped, mandates are failing (insufficient funds / closed accounts).

**"Failed payments, do they count here?"**
No. Only `confirmed`. Failed are tracked in [`goc_decline_rate`](/nerve-centre/kpi-cards/gocardless/decline-rate).

**"Indemnity claim retroactively removes count?"**
Yes. A BACS indemnity claim flips the original payment to `charged_back`; the historical count for that period decreases by 1.

**"Multi-scheme, single count?"**
Yes; count is currency-neutral.

**"Mandate count vs payment count, difference?"**
Mandate count = active subscribers; payment count = transactions in period. A monthly biller with 300 active mandates produces \~300 payments per month. Drop in payment count without drop in mandate count = collection failures.

**"Multi-month annual contracts, count once or recurrently?"**
Annual SaaS billed annually = one payment per year per customer. Counts in the month of the annual charge.

***

### Tracked live in Vortex IQ Nerve Centre

*Total Transactions* is one of hundreds of KPI pulses Vortex IQ tracks across GoCardless 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.
