| Metric | CY (period) | PY (period) | YoY Δ | YoY % | MoM (prior) | MoM Δ | MoM % |
|---|---|---|---|---|---|---|---|
| Sales (GA4)3 | 53 | 33 | 20 | +60.6% | 63 | -10 | -15.9% |
| Activations | 37 (CY reflects LAD 23 Sep) |
41 | -4 | -9.8% | 46 | -9 | -19.6% |
| Disconnections (Activations + PTCC − TCC)a | -1,271 | 92 | -1,363 | -1481.5% | -91 | -1,180 | -1296.7% |
| GTV (ex-GST) | $0.00 | $20,962.02 | -$20,962.02 | -100.0% | $75,884.19 | -$75,884.19 | -100.0% |
| TCC (end of period — 24 Sep) | 24,542 | 20,503 | 4,039 | +19.7% | 23,420 | 1,122 | +4.8% |
| PTCC (previous day's published TCC — 23 Sep) | 23,234 | 20,554 | 2,680 | +13.0% | 23,283 | -49 | -0.2% |
3 Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
a Disconnections derived formula: Activations + PTCC − TCC. CY: 37 + 23234 − 24542 = -1271. PY: 41 + 20554 − 20503 = 92. MoM: 46 + 23283 − 23420 = -91. PTCC (CY) from Google Sheet; PTCC (PY) and PTCC (MoM) from BigQuery (settled historical data). True figures pending SQL Server source ([KOG_DATAWAREHOUSE].[VHA].[T_KGN_INTERNET_TOTALS_DAILY_HISTORY]).
⚠ Note: the CY figure is negative and unusually large in magnitude. A negative result normally reflects BigQuery invoice data settling overnight (TCC_EOP briefly exceeding PTCC + activations) — but a swing of this size is well outside that normal noise band and likely means the Google Sheet's 23 Sep entry itself needs checking against the SQL Server source of truth.
5 PTCC_CY = previous day's published TCC (from Google Sheet: https://docs.google.com/spreadsheets/d/1juzrxFK6b8acGqtMwVeYzho99cCVOZ-FdraOqNrlLMs). PTCC_PY and PTCC_MoM computed from BigQuery using report_date = YEST_PY−1 and MOM_YEST−1 respectively (historical data is settled so BigQuery is accurate). Disconnections (yesterday) = Activations + PTCC − TCC.
| Plan | CY activations | PY activations | YoY Δ | YoY % |
|---|---|---|---|---|
| Gold+ MTM | 27 | 18 | 9 | +50.0% |
| Gold MTM | 4 | 4 | 0 | +0.0% |
| Bronze MTM | 3 | 6 | -3 | -50.0% |
| Silver MTM | 2 | 13 | -11 | -84.6% |
| Platinum MTM | 1 | 0 | 1 | new |
| Total | 37 | 41 | -4 | -9.8% |
| Metric | CY (period) | PY (period) | YoY Δ | YoY % | MoM (prior) | MoM Δ | MoM % |
|---|---|---|---|---|---|---|---|
| Sales (GA4)3 | 1,763 | 589 | 1,174 | +199.3% | 1,377 | 386 | +28.0% |
| Activations | 1,576 | 605 | 971 | +160.5% | 1,384 | 192 | +13.9% |
| Disconnections ⚠ floor (45-day lag) | 428 | 537 | -109 | -20.3% | 741 | -313 | -42.2% |
| GTV (ex-GST) | $1,586,352.99 | $1,196,143.02 | $390,209.97 | +32.6% | $1,567,854.01 | $18,498.98 | +1.2% |
| TCC (end of period) | 24,542 | 20,503 | 4,039 | +19.7% | 23,420 | 1,122 | +4.8% |
3 Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
| Plan | CY activations | PY activations | YoY Δ | YoY % |
|---|---|---|---|---|
| Gold+ MTM | 1,154 | 143 | 1,011 | +707.0% |
| Gold MTM | 232 | 169 | 63 | +37.3% |
| Silver MTM | 78 | 194 | -116 | -59.8% |
| Bronze MTM | 64 | 83 | -19 | -22.9% |
| Diamond MTM | 26 | 9 | 17 | +188.9% |
| Platinum MTM | 22 | 7 | 15 | +214.3% |
| Total | 1,576 | 605 | 971 | +160.5% |
| Metric | CY (period) | PY (period) | YoY Δ | YoY % |
|---|---|---|---|---|
| Sales (GA4)3 | 5,332 | 3,337 | 1,995 | +59.8% |
| Activations | 5,421 | 3,676 | 1,745 | +47.5% |
| Disconnections ⚠ floor (45-day lag) | 2,223 | 1,977 | 246 | +12.4% |
| GTV (ex-GST) | $4,871,958.37 | $3,975,323.45 | $896,634.92 | +22.6% |
| TCC (end of period) | 24,542 | 20,503 | 4,039 | +19.7% |
3 Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
| Plan | CY activations | PY activations | YoY Δ | YoY % |
|---|---|---|---|---|
| Gold+ MTM | 3,938 | 143 | 3,795 | +2653.8% |
| Gold MTM | 795 | 1,216 | -421 | -34.6% |
| Silver MTM | 286 | 1,617 | -1,331 | -82.3% |
| Bronze MTM | 237 | 589 | -352 | -59.8% |
| Platinum MTM | 89 | 63 | 26 | +41.3% |
| Diamond MTM | 76 | 47 | 29 | +61.7% |
| Gold M2M | 0 | 1 | -1 | −100.0% |
| Total | 5,421 | 3,676 | 1,745 | +47.5% |