| Metric | CY | PY | YoY | MoM | |||
|---|---|---|---|---|---|---|---|
| Δ | % | Prior month | Δ | % | |||
| Sales (GA4) ⁽³⁾ | 34 | 32 | +2 | +6.2% | 18 | +16 | +88.9% |
| Activations | 32 (CY reflects LAD 29 Apr) | 13 | +19 | +146.2% | 17 | +15 | +88.2% |
| Disconnections (Activations + PTCC − TCC) ⁽ᵃ⁾ | -575 | 0 | -575 | N/A | 0 | -575 | N/A |
| GTV (ex-GST) | $0 | $0 | +$0 | 0.0% | $0 | +$0 | 0.0% |
| TCC (end of period — 30 Apr) ⁽⁵⁾ | 20,524 | 18,593 | +1,931 | +10.4% | 20,412 | +112 | +0.5% |
| PTCC (previous day published — 29 Apr) ⁽⁵⁾ | 19,917 | 18,580 | +1,337 | +7.2% | 20,395 | -478 | -2.3% |
| Plan | CY activations | PY activations | YoY Δ | YoY % |
|---|---|---|---|---|
| Gold+ MTM | 25 | 0 | +25 | new |
| Gold MTM | 5 | 4 | +1 | +25.0% |
| Silver MTM | 1 | 6 | -5 | -83.3% |
| Platinum MTM | 1 | 0 | +1 | new |
| Diamond MTM | 0 | 1 | -1 | −100.0% |
| Bronze MTM | 0 | 1 | -1 | −100.0% |
| Silver M2M | 0 | 1 | -1 | −100.0% |
| Total | 32 | 13 | +19 | +146.2% |
⁽³⁾ Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
⁽ᵃ⁾ Disconnections derived formula: Activations + PTCC − TCC. CY: 32 + 19,917 − 20,524 = -575. PY: 13 + 18,580 − 18,593 = 0. MoM: 17 + 20,395 − 20,412 = 0. Negative result indicates BigQuery invoice data arrived overnight causing TCC_EOP to exceed PTCC + activations; this is a data-freshness artefact. 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]).
⁽⁵⁾ PTCC_CY = previous day's published TCC (from Google Sheet). 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.
| Metric | CY | PY | YoY | MoM | |||
|---|---|---|---|---|---|---|---|
| Δ | % | Prior month | Δ | % | |||
| Sales (GA4) ⁽³⁾ | 811 | 533 | +278 | +52.2% | 1,009 | -198 | -19.6% |
| Activations | 840 | 540 | +300 | +55.6% | 1,043 | -203 | -19.5% |
| Disconnections ⚠ floor (45-day lag) | 625 | 805 | -180 | -22.4% | 1,053 | -428 | -40.6% |
| GTV (ex-GST) | $1,439,340 | $1,239,536 | +$199,804 | +16.1% | $1,420,325 | +$19,015 | +1.3% |
| TCC (end of period) | 20,524 | 18,593 | +1,931 | +10.4% | 20,412 | +112 | +0.5% |
| Plan | CY activations | PY activations | YoY Δ | YoY % |
|---|---|---|---|---|
| Gold+ MTM | 591 | 0 | +591 | new |
| Gold MTM | 124 | 169 | -45 | -26.6% |
| Bronze MTM | 49 | 116 | -67 | -57.8% |
| Silver MTM | 43 | 201 | -158 | -78.6% |
| Platinum MTM | 19 | 25 | -6 | -24.0% |
| Diamond MTM | 14 | 13 | +1 | +7.7% |
| Silver M2M | 0 | 16 | -16 | −100.0% |
| Total | 840 | 540 | +300 | +55.6% |
⁽³⁾ Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
Disconnections shown above use the invoice-cycle churn formula (LEAD invoice gap > 45 days, attributed to inv_date + 35 days). Floor estimate due to 45-day lag.
| Metric | CY | PY | YoY Δ | YoY % |
|---|---|---|---|---|
| Sales (GA4) ⁽³⁾ | 9,359 | 6,578 | +2,781 | +42.3% |
| Activations | 9,997 | 7,246 | +2,751 | +38.0% |
| Disconnections ⚠ floor (45-day lag) | 7,855 | 7,146 | +709 | +9.9% |
| GTV (ex-GST) ⁽⁴⁾ | $14,165,509 | $12,995,252 ⁽⁴⁾ | +$1,170,257 | +9.0% |
| TCC (end of period) | 20,524 | 18,593 | +1,931 | +10.4% |
| Plan | CY activations | PY activations | YoY Δ | YoY % |
|---|---|---|---|---|
| Gold+ MTM | 4,117 | 0 | +4,117 | new |
| Silver MTM | 2,431 | 613 | +1,818 | +296.6% |
| Gold MTM | 1,985 | 371 | +1,614 | +435.0% |
| Bronze MTM | 1,087 | 354 | +733 | +207.1% |
| Platinum MTM | 216 | 98 | +118 | +120.4% |
| Diamond MTM | 160 | 77 | +83 | +107.8% |
| Gold M2M | 1 | 1,338 | -1,337 | -99.9% |
| Gold $88.90 MTM | 0 | 1 | -1 | −100.0% |
| Diamond Monthly | 0 | 25 | -25 | −100.0% |
| Bronze M2M | 0 | 167 | -167 | −100.0% |
| Platinum Monthly | 0 | 33 | -33 | −100.0% |
| Silver M2M | 0 | 4,169 | -4,169 | −100.0% |
| Total | 9,997 | 7,246 | +2,751 | +38.0% |
⁽³⁾ Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
⁽⁴⁾ March 2025 GTV inflated by a one-off bulk rebill (~$21.26M). For like-for-like YoY, the PY value substitutes Mar-25 raw GTV with Apr-25 full-month GTV.
Disconnections shown above use the invoice-cycle churn formula (LEAD invoice gap > 45 days, attributed to inv_date + 35 days). Floor estimate due to 45-day lag.