Reporting date: Monday 3 August 2026 · Generated 4 Aug 2026 (Australia/Melbourne) · FY27 to date · Activation data as at 2 Aug 2026
(3) Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
(4) GTV anomaly adjustment: a bulk-rebill event inflated March 2025 GTV to $21,255,577. Where a PY period covers March 2025, that month is replaced with April 2025 full-month GTV ($1,239,536) for a like-for-like comparison. Not applicable to this report's PY periods (Jul–Aug 2025); the substitution is applied in the TCC + GTV chart only (bar labelled “Mar 25*”).
(5) PTCC_CY = previous day's published TCC (normally from the TCC history Google Sheet). This run: the sheet had no row for 2 Aug 2026 (no report ran on 3 Aug), so PTCC_CY was computed from BigQuery with report_date = 2 Aug 2026. PTCC_PY and PTCC_MoM are always computed from BigQuery using report_date = YEST_PY−1 and MOM_YEST−1 respectively (historical data is settled). Disconnections (yesterday) = Activations + PTCC − TCC.
(a) Disconnections derived formula: Activations + PTCC − TCC. CY: 65 + 22,233 − 22,233 = 65. PY: 66 + 19,487 − 19,392 = 161. MoM: 77 + 21,153 − 21,114 = 116. A negative result would indicate BigQuery invoice data arrived overnight causing TCC_EOP to exceed PTCC + activations — a data-freshness artefact, rendered in neutral grey. True figures pending SQL Server source ([KOG_DATAWAREHOUSE].[VHA].[T_KGN_INTERNET_TOTALS_DAILY_HISTORY]).
TCC = NIC (invoices issued in the trailing month ending on the latest invoice date) + PIC (activations after that date, less cancellations). Disconnections on MTD/FYTD use invoice-cycle churn with a 45-day lag and therefore represent a floor.
| Metric | CY 3 Aug 2026 | PY 3 Aug 2025 | YoY Δ | YoY % | MoM 3 Jul 2026 | MoM Δ | MoM % |
|---|---|---|---|---|---|---|---|
| Sales (GA4) (3) | 63 | 52 | +11 | +21.2% | 47 | +16 | +34.0% |
| ActivationsCY reflects latest activation date 2 Aug | 65 | 66 | -1 | -1.5% | 77 | -12 | -15.6% |
| Disconnections(Activations + PTCC − TCC) (a) | 65 | 161 | -96 | -59.6% | 116 | -51 | -44.0% |
| GTV (ex-GST) | $0 | $118,483 | -$118,483 | -100.0% | $75,903 | -$75,903 | -100.0% |
| TCC (end of period — 3 Aug) | 22,233 | 19,392 | +2,841 | +14.7% | 21,114 | +1,119 | +5.3% |
| PTCC (previous day's published TCC — 2 Aug) (5) | 22,233 | 19,487 | +2,746 | +14.1% | 21,153 | +1,080 | +5.1% |
| Plan | CY activations | PY activations | YoY Δ | YoY % |
|---|---|---|---|---|
| Gold+ MTM | 45 | 0 | +45 | new |
| Gold MTM | 14 | 27 | -13 | -48.1% |
| Silver MTM | 4 | 29 | -25 | -86.2% |
| Bronze MTM | 2 | 7 | -5 | -71.4% |
| Diamond MTM | 0 | 2 | -2 | −100.0% |
| Platinum MTM | 0 | 1 | -1 | −100.0% |
| Total | 65 | 66 | -1 | -1.5% |
(3) Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
(4) GTV anomaly adjustment: a bulk-rebill event inflated March 2025 GTV to $21,255,577. Where a PY period covers March 2025, that month is replaced with April 2025 full-month GTV ($1,239,536) for a like-for-like comparison. Not applicable to this report's PY periods (Jul–Aug 2025); the substitution is applied in the TCC + GTV chart only (bar labelled “Mar 25*”).
(5) PTCC_CY = previous day's published TCC (normally from the TCC history Google Sheet). This run: the sheet had no row for 2 Aug 2026 (no report ran on 3 Aug), so PTCC_CY was computed from BigQuery with report_date = 2 Aug 2026. PTCC_PY and PTCC_MoM are always computed from BigQuery using report_date = YEST_PY−1 and MOM_YEST−1 respectively (historical data is settled). Disconnections (yesterday) = Activations + PTCC − TCC.
(a) Disconnections derived formula: Activations + PTCC − TCC. CY: 65 + 22,233 − 22,233 = 65. PY: 66 + 19,487 − 19,392 = 161. MoM: 77 + 21,153 − 21,114 = 116. A negative result would indicate BigQuery invoice data arrived overnight causing TCC_EOP to exceed PTCC + activations — a data-freshness artefact, rendered in neutral grey. True figures pending SQL Server source ([KOG_DATAWAREHOUSE].[VHA].[T_KGN_INTERNET_TOTALS_DAILY_HISTORY]).
TCC = NIC (invoices issued in the trailing month ending on the latest invoice date) + PIC (activations after that date, less cancellations). Disconnections on MTD/FYTD use invoice-cycle churn with a 45-day lag and therefore represent a floor.
| Metric | CY 1–3 Aug 2026 | PY 1–3 Aug 2025 | YoY Δ | YoY % | MoM 1–3 Jul 2026 | MoM Δ | MoM % |
|---|---|---|---|---|---|---|---|
| Sales (GA4) (3) | 156 | 134 | +22 | +16.4% | 182 | -26 | -14.3% |
| Activations | 124 | 169 | -45 | -26.6% | 298 | -174 | -58.4% |
| Disconnections⚠ floor (45-day lag) | 0 | 38 | -38 | -100.0% | 94 | -94 | -100.0% |
| GTV (ex-GST) | $9,358 | $118,712 | -$109,355 | -92.1% | $83,621 | -$74,264 | -88.8% |
| TCC (end of period) | 22,233 | 19,392 | +2,841 | +14.7% | 21,114 | +1,119 | +5.3% |
| Plan | CY activations | PY activations | YoY Δ | YoY % |
|---|---|---|---|---|
| Gold+ MTM | 89 | 0 | +89 | new |
| Gold MTM | 21 | 58 | -37 | -63.8% |
| Silver MTM | 9 | 81 | -72 | -88.9% |
| Bronze MTM | 5 | 24 | -19 | -79.2% |
| Platinum MTM | 0 | 4 | -4 | −100.0% |
| Diamond MTM | 0 | 2 | -2 | −100.0% |
| Total | 124 | 169 | -45 | -26.6% |
(3) Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
(4) GTV anomaly adjustment: a bulk-rebill event inflated March 2025 GTV to $21,255,577. Where a PY period covers March 2025, that month is replaced with April 2025 full-month GTV ($1,239,536) for a like-for-like comparison. Not applicable to this report's PY periods (Jul–Aug 2025); the substitution is applied in the TCC + GTV chart only (bar labelled “Mar 25*”).
(5) PTCC_CY = previous day's published TCC (normally from the TCC history Google Sheet). This run: the sheet had no row for 2 Aug 2026 (no report ran on 3 Aug), so PTCC_CY was computed from BigQuery with report_date = 2 Aug 2026. PTCC_PY and PTCC_MoM are always computed from BigQuery using report_date = YEST_PY−1 and MOM_YEST−1 respectively (historical data is settled). Disconnections (yesterday) = Activations + PTCC − TCC.
(a) Disconnections derived formula: Activations + PTCC − TCC. CY: 65 + 22,233 − 22,233 = 65. PY: 66 + 19,487 − 19,392 = 161. MoM: 77 + 21,153 − 21,114 = 116. A negative result would indicate BigQuery invoice data arrived overnight causing TCC_EOP to exceed PTCC + activations — a data-freshness artefact, rendered in neutral grey. True figures pending SQL Server source ([KOG_DATAWAREHOUSE].[VHA].[T_KGN_INTERNET_TOTALS_DAILY_HISTORY]).
TCC = NIC (invoices issued in the trailing month ending on the latest invoice date) + PIC (activations after that date, less cancellations). Disconnections on MTD/FYTD use invoice-cycle churn with a 45-day lag and therefore represent a floor.
| Metric | CY 1 Jul – 3 Aug 2026 | PY 1 Jul – 3 Aug 2025 | YoY Δ | YoY % |
|---|---|---|---|---|
| Sales (GA4) (3) | 1,984 | 1,774 | +210 | +11.8% |
| Activations | 2,156 | 1,961 | +195 | +9.9% |
| Disconnections⚠ floor (45-day lag) | 747 | 782 | -35 | -4.5% |
| GTV (ex-GST) | $1,595,924 | $1,474,405 | +$121,519 | +8.2% |
| TCC (end of period) | 22,233 | 19,392 | +2,841 | +14.7% |
| Plan | CY activations | PY activations | YoY Δ | YoY % |
|---|---|---|---|---|
| Gold+ MTM | 1,559 | 0 | +1559 | new |
| Gold MTM | 312 | 660 | -348 | -52.7% |
| Silver MTM | 118 | 930 | -812 | -87.3% |
| Bronze MTM | 91 | 315 | -224 | -71.1% |
| Platinum MTM | 43 | 31 | +12 | +38.7% |
| Diamond MTM | 33 | 24 | +9 | +37.5% |
| Gold M2M | 0 | 1 | -1 | −100.0% |
| Total | 2,156 | 1,961 | +195 | +9.9% |
(3) Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
(4) GTV anomaly adjustment: a bulk-rebill event inflated March 2025 GTV to $21,255,577. Where a PY period covers March 2025, that month is replaced with April 2025 full-month GTV ($1,239,536) for a like-for-like comparison. Not applicable to this report's PY periods (Jul–Aug 2025); the substitution is applied in the TCC + GTV chart only (bar labelled “Mar 25*”).
(5) PTCC_CY = previous day's published TCC (normally from the TCC history Google Sheet). This run: the sheet had no row for 2 Aug 2026 (no report ran on 3 Aug), so PTCC_CY was computed from BigQuery with report_date = 2 Aug 2026. PTCC_PY and PTCC_MoM are always computed from BigQuery using report_date = YEST_PY−1 and MOM_YEST−1 respectively (historical data is settled). Disconnections (yesterday) = Activations + PTCC − TCC.
(a) Disconnections derived formula: Activations + PTCC − TCC. CY: 65 + 22,233 − 22,233 = 65. PY: 66 + 19,487 − 19,392 = 161. MoM: 77 + 21,153 − 21,114 = 116. A negative result would indicate BigQuery invoice data arrived overnight causing TCC_EOP to exceed PTCC + activations — a data-freshness artefact, rendered in neutral grey. True figures pending SQL Server source ([KOG_DATAWAREHOUSE].[VHA].[T_KGN_INTERNET_TOTALS_DAILY_HISTORY]).
TCC = NIC (invoices issued in the trailing month ending on the latest invoice date) + PIC (activations after that date, less cancellations). Disconnections on MTD/FYTD use invoice-cycle churn with a 45-day lag and therefore represent a floor.
(3) Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
(4) GTV anomaly adjustment: a bulk-rebill event inflated March 2025 GTV to $21,255,577. Where a PY period covers March 2025, that month is replaced with April 2025 full-month GTV ($1,239,536) for a like-for-like comparison. Not applicable to this report's PY periods (Jul–Aug 2025); the substitution is applied in the TCC + GTV chart only (bar labelled “Mar 25*”).
(5) PTCC_CY = previous day's published TCC (normally from the TCC history Google Sheet). This run: the sheet had no row for 2 Aug 2026 (no report ran on 3 Aug), so PTCC_CY was computed from BigQuery with report_date = 2 Aug 2026. PTCC_PY and PTCC_MoM are always computed from BigQuery using report_date = YEST_PY−1 and MOM_YEST−1 respectively (historical data is settled). Disconnections (yesterday) = Activations + PTCC − TCC.
(a) Disconnections derived formula: Activations + PTCC − TCC. CY: 65 + 22,233 − 22,233 = 65. PY: 66 + 19,487 − 19,392 = 161. MoM: 77 + 21,153 − 21,114 = 116. A negative result would indicate BigQuery invoice data arrived overnight causing TCC_EOP to exceed PTCC + activations — a data-freshness artefact, rendered in neutral grey. True figures pending SQL Server source ([KOG_DATAWAREHOUSE].[VHA].[T_KGN_INTERNET_TOTALS_DAILY_HISTORY]).
TCC = NIC (invoices issued in the trailing month ending on the latest invoice date) + PIC (activations after that date, less cancellations). Disconnections on MTD/FYTD use invoice-cycle churn with a 45-day lag and therefore represent a floor.
(3) Sales sourced from GA4 (Ecommerce purchases: Item name report). All other metrics from BigQuery.
(4) GTV anomaly adjustment: a bulk-rebill event inflated March 2025 GTV to $21,255,577. Where a PY period covers March 2025, that month is replaced with April 2025 full-month GTV ($1,239,536) for a like-for-like comparison. Not applicable to this report's PY periods (Jul–Aug 2025); the substitution is applied in the TCC + GTV chart only (bar labelled “Mar 25*”).
(5) PTCC_CY = previous day's published TCC (normally from the TCC history Google Sheet). This run: the sheet had no row for 2 Aug 2026 (no report ran on 3 Aug), so PTCC_CY was computed from BigQuery with report_date = 2 Aug 2026. PTCC_PY and PTCC_MoM are always computed from BigQuery using report_date = YEST_PY−1 and MOM_YEST−1 respectively (historical data is settled). Disconnections (yesterday) = Activations + PTCC − TCC.
(a) Disconnections derived formula: Activations + PTCC − TCC. CY: 65 + 22,233 − 22,233 = 65. PY: 66 + 19,487 − 19,392 = 161. MoM: 77 + 21,153 − 21,114 = 116. A negative result would indicate BigQuery invoice data arrived overnight causing TCC_EOP to exceed PTCC + activations — a data-freshness artefact, rendered in neutral grey. True figures pending SQL Server source ([KOG_DATAWAREHOUSE].[VHA].[T_KGN_INTERNET_TOTALS_DAILY_HISTORY]).
TCC = NIC (invoices issued in the trailing month ending on the latest invoice date) + PIC (activations after that date, less cancellations). Disconnections on MTD/FYTD use invoice-cycle churn with a 45-day lag and therefore represent a floor.