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Daily campaign report — 2026-09-02, against 2026-09-01

The portfolio spent $508.16 on 2026-09-02 against $772.97 the day before, and booked $3,304.07 against $3,662.18. Only Sinai was bought, for a tenth day running: B1 took $292.58 of the day against $508.36, HR2 $130.97 against $127.94 and Dicey2 $84.61 against $136.67. B1 ran vid_ww_laceb_11s_9x16_sn_v1, vid_ww_shirtb_11s_9x16_sn_v1 and vid_ww_madapp_7s_9x16_sn_v1: vid_ww_poolphotob_15s_9x16_sn_v1 was refused at 00:45 UTC, 45 minutes into the day, and laceb was switched off at 22:01 UTC as its edit came out of review. This is the day's 24 h publication and its first, no morning page having been written for it, and both cohort horizons are closed. Definitions, the report clock and the three revenue measures are in the appendix.

Meta's own line is struck in the 2026-09-02 column of every Sinai table below and stands in the 2026-09-01 column. The strike fires where Meta books more purchases in a day than Google Play processed for the whole app: on 09-02 Meta books $2,713.39 where our own records hold $2,622.63, an excess of $90.76, because Sinai and Vloom forward their money events to Facebook Purchase on one dataset and Meta cannot tell two apps apart. On 09-01 Meta's purchase count stayed under the day's transaction count, so its $3,086.40 stands beside our $2,903.43; the test is one-sided, an unstruck line is not a certified one, and the Meta bracket beside any asset's bROAS is Meta's attribution and never that asset's revenue. Cause and evidence: meta_conversion_overreport_2026-08-24.md.

1Overview

(i) Both apps, both days. Separate products sharing only the ad accounts; spend is additive, the two revenue columns come from two ledgers.

2026-09-012026-09-02change
spend$772.97$508.16−34.3%
impressions93,64755,316−40.9%
CPM$8.25$9.19+11.3%
registrations (ours)1,538894−41.9%
cost per registration$0.503$0.568+13.1%
booked$3,662.18 (4.74)$3,304.07 (6.50)−9.8%
Meta booked$3,086.40 (3.99)$2,713.39 (5.34)
within-day$1,046.04 (1.35)$486.14 (0.96)−53.5%
cohort @ 24h$1,187.68 (1.54)$588.43 (1.16)−50.5%
booked payers363296-67
payer rate (d0)8.9%9.2%+0.3 pts
ARPU (d0)$0.7722$0.6582−14.8%
ARPPU (d0)$8.67$7.18−17.2%

Cohort value — ARPU and ARPPU at d0, d3 and d7

This run stages no Adjust cohort block, so the app-level d3 and d7 rows have no source on this page. The d0 rows are in the headline table above, read off our own payment ledger rather than Adjust's series and closed at 00:00 UTC on 09-04; d3 and d7 close on 2026-09-07 and 2026-09-11, after this page is written.

Spend fell 34.3% and both comparable revenue measures fell by more: within-day $1,046.04 to $486.14 and cohort @ 24h $1,187.68 to $588.43, so return went 1.35 to 0.96 and 1.54 to 1.16, on 137 and 82 Sinai payers at d0.

On the report clock B1 took 58% of the buy against 66% the day before, HR2 26% against 17% and Dicey2 17% against 18%; the campaign section's own-day split is B1 and Dicey2 alone, 77.9% and 22.1%, for want of an HR2 day export.

CPM rose 11.3% to $9.19 and a registration cost $0.568 against $0.503, because registrations fell 41.9% on 40.9% fewer impressions; B1's own cost per registration went $0.481 to $0.843 while HR2's went $0.353 to $0.264.

A slightly larger share of the people who arrived paid, and each payer paid less: payer rate (d0) rose 0.3 points to 9.2% while ARPPU (d0) fell 17.2% to $7.18, leaving ARPU (d0) down 14.8% at $0.6582.

(ii) Every account, both days. Both apps summed, so the rows add to the portfolio line.

account2026-09-01 spend2026-09-02 spendchange2026-09-01 registrations2026-09-02 registrations
Portfolio$772.97$508.16−34.3%1,538894
B1$508.36$292.58−42.4%1,070359
Nomad Node$0.00$0.00—78
KBM1$0.00$0.00—20
Dicey2$136.67$84.61−38.1%9631
HR1$0.00$0.00—10
HR2$127.94$130.97+2.4%362496

B1 is 57.6% of the buy against 65.8% the day before, and HR2 at 25.8% and Dicey2 at 16.7% take the rest.

This run's own pull holds B1 and Dicey2, and HR2's and NN1's rows are read from the archive of earlier runs. The morning staging of this same day pulled HR2 and NN1 at every grain, and the hourly loader takes those files, so HR2's $130.97 and NN1's zero are measured. NN2, KBM1 and HR1 were stopped by Meta on 08-23, 08-24 and 08-24 and are no longer exported at any grain, so their $0.00 is an absence rather than a measured zero; all three still book revenue through the payment ledger, which needs no export.

2The two apps, one tab each

Sinai is the only tab with delivery on this day: it took the whole $508.16 while no Vloom campaign in any account served an impression. Each tab carries that app's own accounts, hours, countries, campaigns and assets on its own ledger.

Showing

Sinai — every section below this line is Sinai's: the day, the hours, the countries, the campaigns and the assets, counted on Sinai's own ledger and its own accounts. Use the buttons above to switch.

Sinai's tab. Every section below is Sinai's: the day, the hours, the countries, the campaigns and the assets, on the sinai_lum ledger and the six accounts that buy it.

Sinai spent $508.16 against $772.97, a 34.3% fall, and booked $2,622.63 against $2,903.43.

The day, and every account

2026-09-012026-09-02change
spend$772.97$508.16−34.3%
impressions93,64755,316−40.9%
CPM$8.25$9.19+11.3%
registrations (ours)1,517874−42.4%
cost per registration$0.510$0.581+14.1%
booked$2,903.43 (3.76)$2,622.63 (5.16)−9.7%
Meta booked$3,086.40 (3.99)$2,713.39 (5.34)
within-day$1,046.04 (1.35)$486.14 (0.96)−53.5%
cohort @ 24h$1,187.68 (1.54)$588.43 (1.16)−50.5%
booked payers318254−64
payer rate (d0)9.0%9.4%+0.4 pts
ARPU (d0)$0.7829$0.6733−14.0%
ARPPU (d0)$8.67$7.18−17.2%

2026-09-02 (the day) — delivery

accountspendshareimpressionsCPMregistrationscost/reg
Portfolio$508.16100%55,316$9.19874$0.581
B1$292.5858%32,105$9.11347$0.843
Nomad Node$0.000%0—0—
KBM1$0.000%0—0—
Dicey2$84.6117%4,627$18.2931$2.729
HR1$0.000%0—0—
HR2$130.9726%18,584$7.05496$0.264

2026-09-02 (the day) — the three measures

accountbookedbROASwithin-daywROAScohort@24hcROASpayers (d0)payer% (d0)ARPU (d0)ARPPU (d0)
Portfolio$2,622.635.16$486.140.96$588.431.16829.4%$0.6733$7.18
B1$1,667.685.70$193.570.66$213.580.73339.5%$0.6155$6.47
Nomad Node$0.00—$0.00—$0.00—0———
KBM1$94.21—$0.00—$0.00—0———
Dicey2$45.130.53$35.150.42$38.310.45516.1%$1.2357$7.66
HR1$110.82—$0.00—$0.00—0———
HR2$704.805.38$257.431.97$336.542.57448.9%$0.6785$7.65

Each account, 2026-09-01 against 2026-09-02, one table each.

B1

2026-09-012026-09-02change
spend$508.36$292.58−42.4%
impressions67,30632,105−52.3%
CPM$7.55$9.11+20.7%
registrations (ours)1,056347−67.1%
cost per registration$0.481$0.843+75.1%
booked$1,864.36 (3.67)$1,667.68 (5.70)−10.5%
Meta booked$1,774.06 (3.49)$1,648.42 (5.63)
within-day$630.95 (1.24)$193.57 (0.66)−69.3%
cohort @ 24h$723.04 (1.42)$213.58 (0.73)−70.5%
booked payers191139−52
payer rate (d0)8.0%9.5%+1.5 pts
ARPU (d0)$0.6847$0.6155−10.1%
ARPPU (d0)$8.51$6.47−23.9%

Nomad Node — nothing delivered and nobody registered on either day.

KBM1

2026-09-012026-09-02change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)20−100.0%
cost per registration$0.000$0.000—
booked$179.73$94.21−47.6%
Meta booked——
within-day$0.00$0.00—
cohort @ 24h$0.00$0.00—
booked payers1910−9
payer rate (d0)0.0%0.0%+0.0 pts
ARPU (d0)$0.0000$0.0000—
ARPPU (d0)$0.00$0.00—

Dicey2

2026-09-012026-09-02change
spend$136.67$84.61−38.1%
impressions10,6204,627−56.4%
CPM$12.87$18.29+42.1%
registrations (ours)9631−67.7%
cost per registration$1.424$2.729+91.7%
booked$57.75 (0.42)$45.13 (0.53)−21.9%
Meta booked$398.08 (2.91)$198.47 (2.35)
within-day$51.77 (0.38)$35.15 (0.42)−32.1%
cohort @ 24h$51.77 (0.38)$38.31 (0.45)−26.0%
booked payers108−2
payer rate (d0)9.4%16.1%+6.8 pts
ARPU (d0)$0.5392$1.2357+129.2%
ARPPU (d0)$5.75$7.66+33.2%

HR1

2026-09-012026-09-02change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)10−100.0%
cost per registration$0.000$0.000—
booked$26.64$110.82+315.9%
Meta booked——
within-day$0.00$0.00—
cohort @ 24h$0.00$0.00—
booked payers85−3
payer rate (d0)0.0%0.0%+0.0 pts
ARPU (d0)$0.0000$0.0000—
ARPPU (d0)$0.00$0.00—

HR2

2026-09-012026-09-02change
spend$127.94$130.97+2.4%
impressions15,72118,584+18.2%
CPM$8.14$7.05−13.4%
registrations (ours)362496+37.0%
cost per registration$0.353$0.264−25.3%
booked$774.95 (6.06)$704.80 (5.38)−9.1%
Meta booked$914.26 (7.15)$866.50 (6.62)
within-day$363.33 (2.84)$257.43 (1.97)−29.1%
cohort @ 24h$412.88 (3.23)$336.54 (2.57)−18.5%
booked payers9092+2
payer rate (d0)11.9%8.9%−3.0 pts
ARPU (d0)$1.1405$0.6785−40.5%
ARPPU (d0)$9.60$7.65−20.3%

B1's within-day return went 1.24 to 0.66 on 42.4% less spend, its CPM rose 20.7% and a registration cost $0.843 against $0.481, on 33 payers at d0 against 85.

HR2 spent 2.4% more and returned less on both comparable measures, within-day 2.84 to 1.97 and cohort @ 24h 3.23 to 2.57, on 44 payers at d0 against 43; it took 37.0% more registrations at $0.264 each and its ARPU (d0) fell 40.5%.

Dicey2's within-day return went 0.38 to 0.42 on 38.1% less spend, on five payers at d0, so it is a direction and never a magnitude.

KBM1 and HR1 booked $94.21 and $110.82 with no delivery and no registration, from cohorts bought before Meta stopped them, so neither has a per-user row.

Hourly, 2026-09-02

(i) The portfolio, hour by hour, 2026-09-02. Every account placeable on the report clock, summed; delivery on the delivery hour, our columns on the hour the appendix names.

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$17.831,918$9.3040$0.446$55.633.12$19.511.09$19.511.0913
01$12.881,673$7.7030$0.429$44.763.48$22.161.72$25.321.9710
02$20.862,685$7.7739$0.535$113.115.42$6.500.31$6.500.3118
03$21.342,458$8.6844$0.485$85.834.02$43.992.06$49.862.3413
04$23.982,538$9.4532$0.749$128.755.37$29.701.24$29.701.2416
05$20.152,463$8.1841$0.491$181.128.99$9.540.47$9.540.4717
06$20.142,456$8.2041$0.491$190.079.44$10.310.51$10.310.5111
07$20.912,430$8.6034$0.615$233.7511.18$49.502.37$49.502.3718
08$19.972,431$8.2138$0.526$144.257.22$28.971.45$28.971.4514
09$20.932,318$9.0338$0.551$105.595.04$9.870.47$13.030.6214
10$21.082,437$8.6532$0.659$88.284.19$6.720.32$6.720.3216
11$18.392,316$7.9432$0.575$81.934.46$13.830.75$17.390.9510
12$20.952,547$8.2353$0.395$131.166.26$59.372.83$59.372.8315
13$24.892,652$9.3932$0.778$121.014.86$10.880.44$17.520.7014
14$23.022,883$7.9848$0.480$69.653.03$25.261.10$25.261.1011
15$28.793,097$9.3039$0.738$111.133.86$49.771.73$49.771.7315
16$29.543,375$8.7545$0.656$120.574.08$17.050.58$27.170.9213
17$25.743,151$8.1750$0.515$61.502.39$25.761.00$48.921.9011
18$24.492,226$11.0041$0.597$70.242.87$16.400.67$26.381.0816
19$22.761,713$13.2919$1.198$75.993.34$13.240.58$13.240.5819
20$20.781,473$14.1130$0.693$69.373.34$0.000.00$3.430.1710
21$18.821,376$13.6831$0.607$109.845.84$17.800.95$31.351.6718
22$16.421,311$12.5216$1.026$79.064.81$0.000.00$0.000.0011
23$13.501,389$9.7229$0.466$150.0511.11$0.000.00$19.661.4618

Spend ran $12.88 to $29.54 an hour with no gap, against $7.04 to $59.17 and a $0.00 hour 19 the day before; the dearest hour is 16:00 and the cheapest 01:00, where B1 read $3.21 on 512 impressions in the hour after poolphotob was refused.

Registrations ran 16 to 53 an hour, and 496 of the day's 874 are HR2's, 267 of them from its editortabs ad, on 26% of the spend.

HR2 fell to $1.05 in hour 19 and $2.08 in hour 21 from $5.97 in hour 18, on 87 and 233 impressions against 857, and this run stages no activity history for it, so on this page that dip is measured and not explained; B1 and Dicey2 show no gap in those hours.

2026-09-04T08:32:39.774297 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 0 3 6 9 12 15 18 21 hour (UTC) 0 5 10 15 20 USD Spend by hour 0 3 6 9 12 15 18 21 hour (UTC) 800 1000 1200 1400 1600 1800 2000 2200 impressions Impressions and installs by hour impressions installs 8 10 12 14 16 18 20 22 installs (Meta Leads) The day's motion — whole account, 2026-09-02 (UTC)
The day's motion: spend by hour, and impressions against installs
2026-09-04T08:32:39.942195 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 0 4 8 12 16 20 hour (UTC) 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 CTR % CTR 0 4 8 12 16 20 hour (UTC) 8 9 10 11 12 13 14 15 USD per 1,000 impressions CPM 0 4 8 12 16 20 hour (UTC) 6 8 10 12 14 16 18 installs / clicks % Click → install 0 4 8 12 16 20 hour (UTC) 0.6 0.8 1.0 1.2 1.4 1.6 1.8 USD Cost per install Delivery by hour — whole account, 2026-09-02 (UTC)
CTR, CPM, click-to-install and CPI by hour, whole account

(ii) The same 24 hours per account, 2026-09-02.

B1 — $292.58 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$8.871,028$8.6321$0.422$32.733.69$16.351.84$16.351.849
01$3.21512$6.275$0.642$16.295.07$0.000.00$0.000.004
02$10.301,476$6.9816$0.644$90.978.83$3.510.34$3.510.3411
03$11.961,388$8.6219$0.629$58.144.86$19.541.63$25.422.139
04$14.091,475$9.5513$1.084$87.336.20$15.981.13$15.981.1311
05$10.731,376$7.8017$0.631$71.906.70$5.980.56$5.980.566
06$11.671,412$8.2614$0.834$152.5713.07$0.000.00$0.000.006
07$11.081,362$8.1410$1.108$192.3217.36$15.951.44$15.951.4410
08$10.281,386$7.4213$0.791$98.539.58$28.972.82$28.972.829
09$11.161,321$8.4514$0.797$30.322.72$0.000.00$0.000.004
10$12.271,385$8.8611$1.115$71.185.80$0.000.00$0.000.0011
11$11.461,293$8.8611$1.042$68.685.99$3.560.31$3.560.316
12$11.611,483$7.8325$0.464$100.418.65$43.193.72$43.193.727
13$16.281,678$9.7015$1.085$89.555.50$3.350.21$6.690.418
14$13.821,779$7.7716$0.864$38.022.75$2.960.21$2.960.218
15$15.901,747$9.1011$1.445$94.765.96$6.760.43$6.760.4310
16$17.691,961$9.0217$1.041$56.893.22$3.560.20$3.560.205
17$15.361,794$8.5622$0.698$16.301.06$0.000.00$0.000.005
18$12.961,148$11.2914$0.926$57.604.44$10.060.78$10.060.7812
19$15.971,443$11.0715$1.065$55.593.48$10.280.64$10.280.6413
20$13.881,041$13.3318$0.771$19.641.41$0.000.00$0.000.006
21$14.431,021$14.1317$0.849$67.524.68$3.580.25$10.810.757
22$9.48782$12.124$2.370$24.962.63$0.000.00$0.000.004
23$8.12814$9.989$0.902$75.479.29$0.000.00$3.560.4411

Nomad Node — $0.00 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$0.000—0—$0.00—$0.00—$0.00—0
01$0.000—0—$0.00—$0.00—$0.00—0
02$0.000—0—$0.00—$0.00—$0.00—0
03$0.000—0—$0.00—$0.00—$0.00—0
04$0.000—0—$0.00—$0.00—$0.00—0
05$0.000—0—$0.00—$0.00—$0.00—0
06$0.000—0—$0.00—$0.00—$0.00—0
07$0.000—0—$0.00—$0.00—$0.00—0
08$0.000—0—$0.00—$0.00—$0.00—0
09$0.000—0—$0.00—$0.00—$0.00—0
10$0.000—0—$0.00—$0.00—$0.00—0
11$0.000—0—$0.00—$0.00—$0.00—0
12$0.000—0—$0.00—$0.00—$0.00—0
13$0.000—0—$0.00—$0.00—$0.00—0
14$0.000—0—$0.00—$0.00—$0.00—0
15$0.000—0—$0.00—$0.00—$0.00—0
16$0.000—0—$0.00—$0.00—$0.00—0
17$0.000—0—$0.00—$0.00—$0.00—0
18$0.000—0—$0.00—$0.00—$0.00—0
19$0.000—0—$0.00—$0.00—$0.00—0
20$0.000—0—$0.00—$0.00—$0.00—0
21$0.000—0—$0.00—$0.00—$0.00—0
22$0.000—0—$0.00—$0.00—$0.00—0
23$0.000—0—$0.00—$0.00—$0.00—0

KBM1 — $0.00 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$0.000—0—$0.00—$0.00—$0.00—0
01$0.000—0—$3.16—$0.00—$0.00—1
02$0.000—0—$6.72—$0.00—$0.00—2
03$0.000—0—$0.00—$0.00—$0.00—0
04$0.000—0—$16.10—$0.00—$0.00—1
05$0.000—0—$25.05—$0.00—$0.00—2
06$0.000—0—$0.00—$0.00—$0.00—0
07$0.000—0—$0.00—$0.00—$0.00—0
08$0.000—0—$0.00—$0.00—$0.00—0
09$0.000—0—$0.00—$0.00—$0.00—0
10$0.000—0—$3.67—$0.00—$0.00—1
11$0.000—0—$3.18—$0.00—$0.00—1
12$0.000—0—$7.12—$0.00—$0.00—1
13$0.000—0—$3.29—$0.00—$0.00—1
14$0.000—0—$12.96—$0.00—$0.00—1
15$0.000—0—$6.50—$0.00—$0.00—2
16$0.000—0—$3.28—$0.00—$0.00—1
17$0.000—0—$3.18—$0.00—$0.00—1
18$0.000—0—$0.00—$0.00—$0.00—0
19$0.000—0—$0.00—$0.00—$0.00—0
20$0.000—0—$0.00—$0.00—$0.00—0
21$0.000—0—$0.00—$0.00—$0.00—0
22$0.000—0—$0.00—$0.00—$0.00—0
23$0.000—0—$0.00—$0.00—$0.00—0

Dicey2 — $84.61 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$3.48199$17.490—$0.000.00$0.000.00$0.000.000
01$3.84268$14.332$1.920$9.472.47$9.472.47$12.623.291
02$3.17206$15.390—$0.000.00$0.000.00$0.000.000
03$3.20185$17.300—$0.000.00$0.000.00$0.000.000
04$4.40180$24.443$1.467$3.560.81$3.560.81$3.560.811
05$2.85192$14.842$1.425$3.431.20$0.000.00$0.000.001
06$2.94174$16.900—$0.000.00$0.000.00$0.000.000
07$3.83184$20.821$3.830$0.000.00$0.000.00$0.000.000
08$3.89164$23.720—$0.000.00$0.000.00$0.000.000
09$3.47162$21.420—$0.000.00$0.000.00$0.000.000
10$3.15195$16.151$3.150$0.000.00$0.000.00$0.000.000
11$1.69167$10.120—$0.000.00$0.000.00$0.000.000
12$2.63166$15.841$2.630$3.561.35$0.000.00$0.000.001
13$3.74212$17.640—$0.000.00$0.000.00$0.000.000
14$3.14230$13.652$1.570$15.184.83$15.184.83$15.184.831
15$5.02281$17.863$1.673$3.560.71$3.560.71$3.560.711
16$3.48259$13.442$1.740$3.390.97$3.390.97$3.390.971
17$4.70313$15.020—$2.990.64$0.000.00$0.000.001
18$5.56221$25.162$2.780$0.000.00$0.000.00$0.000.000
19$5.74183$31.370—$0.000.00$0.000.00$0.000.000
20$3.97126$31.514$0.993$0.000.00$0.000.00$0.000.000
21$2.31122$18.932$1.155$0.000.00$0.000.00$0.000.000
22$2.61111$23.512$1.305$0.000.00$0.000.00$0.000.000
23$1.80127$14.174$0.450$0.000.00$0.000.00$0.000.000

HR1 — $0.00 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$0.000—0—$0.00—$0.00—$0.00—0
01$0.000—0—$0.00—$0.00—$0.00—0
02$0.000—0—$0.00—$0.00—$0.00—0
03$0.000—0—$7.34—$0.00—$0.00—1
04$0.000—0—$15.18—$0.00—$0.00—1
05$0.000—0—$45.50—$0.00—$0.00—1
06$0.000—0—$3.56—$0.00—$0.00—1
07$0.000—0—$3.67—$0.00—$0.00—1
08$0.000—0—$16.10—$0.00—$0.00—1
09$0.000—0—$16.10—$0.00—$0.00—1
10$0.000—0—$0.00—$0.00—$0.00—0
11$0.000—0—$3.35—$0.00—$0.00—1
12$0.000—0—$0.00—$0.00—$0.00—0
13$0.000—0—$0.00—$0.00—$0.00—0
14$0.000—0—$0.00—$0.00—$0.00—0
15$0.000—0—$0.00—$0.00—$0.00—0
16$0.000—0—$0.00—$0.00—$0.00—0
17$0.000—0—$0.00—$0.00—$0.00—0
18$0.000—0—$0.00—$0.00—$0.00—0
19$0.000—0—$0.00—$0.00—$0.00—0
20$0.000—0—$0.00—$0.00—$0.00—0
21$0.000—0—$0.00—$0.00—$0.00—0
22$0.000—0—$0.00—$0.00—$0.00—0
23$0.000—0—$0.00—$0.00—$0.00—0

HR2 — $130.97 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$5.48691$7.9319$0.288$22.904.18$3.160.58$3.160.584
01$5.83893$6.5323$0.253$15.852.72$12.692.18$12.692.184
02$7.391,003$7.3723$0.321$15.422.09$2.990.40$2.990.405
03$6.18885$6.9825$0.247$20.343.29$24.453.96$24.453.963
04$5.49883$6.2216$0.343$6.571.20$10.161.85$10.161.852
05$6.57895$7.3422$0.299$35.235.36$3.560.54$3.560.547
06$5.53870$6.3627$0.205$33.946.14$10.311.87$10.311.874
07$6.00884$6.7923$0.261$37.766.29$33.555.59$33.555.597
08$5.80881$6.5825$0.232$29.615.11$0.000.00$0.000.004
09$6.30835$7.5424$0.263$59.179.39$9.871.57$13.032.079
10$5.66857$6.6020$0.283$13.432.37$6.721.19$6.721.194
11$5.24856$6.1221$0.250$6.721.28$10.281.96$13.832.642
12$6.71898$7.4727$0.249$20.072.99$16.182.41$16.182.416
13$4.87762$6.3917$0.286$28.185.79$7.541.55$10.822.225
14$6.06874$6.9330$0.202$3.480.57$7.121.17$7.121.171
15$7.871,069$7.3625$0.315$6.310.80$39.455.01$39.455.012
16$8.371,155$7.2526$0.322$57.016.81$10.111.21$20.232.426
17$5.681,044$5.4428$0.203$39.036.87$25.764.54$48.928.614
18$5.97857$6.9725$0.239$12.642.12$6.341.06$16.322.734
19$1.0587$12.074$0.263$20.4019.43$2.972.82$2.972.826
20$2.93306$9.588$0.366$49.7316.97$0.000.00$3.431.174
21$2.08233$8.9312$0.173$42.3120.34$14.236.84$20.549.8811
22$4.33418$10.3610$0.433$54.1012.49$0.000.00$0.000.007
23$3.58448$7.9916$0.224$74.5720.83$0.000.00$16.104.507

The prior day, 2026-09-01, same two tables

(i) The portfolio, hour by hour, 2026-09-01. Every account placeable on the report clock, summed; delivery on the delivery hour, our columns on the hour the appendix names.

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$54.685,794$9.44156$0.351$80.521.47$79.641.46$79.641.4618
01$59.177,784$7.60171$0.346$183.893.11$29.640.50$29.640.5024
02$44.076,012$7.3381$0.544$71.991.63$97.362.21$97.362.2117
03$36.665,101$7.1967$0.547$116.353.17$40.241.10$43.721.1920
04$35.354,613$7.6661$0.580$104.242.95$34.220.97$37.781.0716
05$31.924,043$7.9039$0.818$108.573.40$23.680.74$23.680.7412
06$26.033,433$7.5852$0.501$40.141.54$32.481.25$32.481.2511
07$47.925,790$8.2872$0.666$93.611.95$17.190.36$17.190.3612
08$48.966,208$7.8982$0.597$138.722.83$124.282.54$143.962.9416
09$41.425,498$7.5366$0.628$124.073.00$36.860.89$52.321.2620
10$41.085,441$7.5582$0.501$138.953.38$150.153.66$153.123.7321
11$35.694,483$7.9677$0.464$80.142.25$26.090.73$26.090.7317
12$31.694,098$7.7362$0.511$124.063.91$87.202.75$90.762.8624
13$30.343,802$7.9866$0.460$66.192.18$69.212.28$98.563.2515
14$28.223,148$8.9653$0.532$124.874.42$21.130.75$34.121.2121
15$25.753,349$7.6940$0.644$84.863.30$16.370.64$16.370.6417
16$27.793,480$7.9958$0.479$102.353.68$34.901.26$41.861.5121
17$32.093,591$8.9456$0.573$200.496.25$19.010.59$32.621.0223
18$15.391,743$8.8354$0.285$78.345.09$0.000.00$3.290.2118
19$0.000—4$0.000$332.86—$0.00—$0.00—33
20$18.521,502$12.3324$0.772$167.199.03$10.850.59$27.761.5034
21$7.04636$11.0720$0.352$126.3717.95$61.648.76$64.639.1814
22$28.962,085$13.8934$0.852$71.832.48$18.970.66$22.130.7612
23$24.232,013$12.0440$0.606$142.815.89$14.950.62$18.630.7713

(ii) The same 24 hours per account, 2026-09-01.

B1 — $508.36 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$45.454,999$9.09143$0.318$60.721.34$76.481.68$76.481.6813
01$36.905,601$6.59139$0.265$119.693.24$7.120.19$7.120.1914
02$22.604,008$5.6446$0.491$28.961.28$76.853.40$76.853.408
03$22.883,614$6.3344$0.520$79.053.45$37.251.63$40.731.7815
04$22.293,286$6.7836$0.619$97.964.39$23.811.07$27.371.2314
05$19.872,811$7.0727$0.736$85.774.32$10.140.51$10.140.519
06$15.482,340$6.6233$0.469$6.960.45$6.500.42$6.500.422
07$31.984,307$7.4352$0.615$35.951.12$7.040.22$7.040.224
08$35.174,991$7.0562$0.567$119.383.39$120.723.43$136.833.8914
09$29.044,236$6.8641$0.708$88.173.04$17.210.59$32.661.1215
10$28.124,056$6.9357$0.493$105.543.75$85.223.03$85.223.0315
11$24.783,283$7.5554$0.459$45.531.84$19.780.80$19.780.8010
12$22.812,930$7.7840$0.570$78.393.44$40.021.75$43.581.9111
13$19.712,572$7.6642$0.469$53.322.71$20.621.05$24.111.2212
14$18.762,175$8.6335$0.536$50.642.70$11.020.59$24.011.2811
15$16.472,270$7.2625$0.659$23.281.41$2.940.18$2.940.186
16$17.852,296$7.7737$0.482$54.663.06$20.661.16$27.621.5513
17$20.752,461$8.4339$0.532$103.775.00$9.920.48$19.960.9610
18$10.041,154$8.7035$0.287$47.934.77$0.000.00$0.000.0011
19$0.000—3$0.000$274.49—$0.00—$0.00—19
20$12.081,034$11.6812$1.007$109.419.06$3.740.31$13.531.1221
21$3.00295$10.179$0.333$92.8030.93$0.000.00$2.991.008
22$18.101,320$13.7124$0.754$22.561.25$18.971.05$18.971.053
23$14.231,267$11.2321$0.678$79.445.58$14.951.05$18.631.318

Nomad Node — $0.00 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$0.000—0—$0.00—$0.00—$0.00—0
01$0.000—0—$0.00—$0.00—$0.00—0
02$0.000—0—$0.00—$0.00—$0.00—0
03$0.000—0—$0.00—$0.00—$0.00—0
04$0.000—0—$0.00—$0.00—$0.00—0
05$0.000—0—$0.00—$0.00—$0.00—0
06$0.000—0—$0.00—$0.00—$0.00—0
07$0.000—0—$0.00—$0.00—$0.00—0
08$0.000—0—$0.00—$0.00—$0.00—0
09$0.000—0—$0.00—$0.00—$0.00—0
10$0.000—0—$0.00—$0.00—$0.00—0
11$0.000—0—$0.00—$0.00—$0.00—0
12$0.000—0—$0.00—$0.00—$0.00—0
13$0.000—0—$0.00—$0.00—$0.00—0
14$0.000—0—$0.00—$0.00—$0.00—0
15$0.000—0—$0.00—$0.00—$0.00—0
16$0.000—0—$0.00—$0.00—$0.00—0
17$0.000—0—$0.00—$0.00—$0.00—0
18$0.000—0—$0.00—$0.00—$0.00—0
19$0.000—0—$0.00—$0.00—$0.00—0
20$0.000—0—$0.00—$0.00—$0.00—0
21$0.000—0—$0.00—$0.00—$0.00—0
22$0.000—0—$0.00—$0.00—$0.00—0
23$0.000—0—$0.00—$0.00—$0.00—0

KBM1 — $0.00 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$0.000—0—$3.56—$0.00—$0.00—1
01$0.000—0—$3.58—$0.00—$0.00—1
02$0.000—0—$0.00—$0.00—$0.00—0
03$0.000—0—$19.80—$0.00—$0.00—2
04$0.000—1$0.000$3.29—$0.00—$0.00—1
05$0.000—0—$19.39—$0.00—$0.00—2
06$0.000—0—$6.71—$0.00—$0.00—2
07$0.000—0—$21.28—$0.00—$0.00—2
08$0.000—0—$0.00—$0.00—$0.00—0
09$0.000—0—$3.16—$0.00—$0.00—1
10$0.000—0—$6.57—$0.00—$0.00—2
11$0.000—0—$0.00—$0.00—$0.00—0
12$0.000—0—$7.11—$0.00—$0.00—1
13$0.000—0—$0.00—$0.00—$0.00—0
14$0.000—0—$18.25—$0.00—$0.00—2
15$0.000—1$0.000$0.00—$0.00—$0.00—0
16$0.000—0—$3.56—$0.00—$0.00—1
17$0.000—0—$16.10—$0.00—$0.00—1
18$0.000—0—$6.49—$0.00—$0.00—2
19$0.000—0—$10.47—$0.00—$0.00—2
20$0.000—0—$10.31—$0.00—$0.00—3
21$0.000—0—$0.00—$0.00—$0.00—0
22$0.000—0—$3.56—$0.00—$0.00—1
23$0.000—0—$16.54—$0.00—$0.00—2

Dicey2 — $136.67 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$3.39222$15.271$3.390$0.000.00$0.000.00$0.000.000
01$17.331,461$11.8613$1.333$0.000.00$3.160.18$3.160.180
02$15.191,302$11.6714$1.085$9.440.62$6.280.41$6.280.413
03$9.86840$11.7410$0.986$0.000.00$2.990.30$2.990.300
04$8.64686$12.598$1.080$2.990.35$3.290.38$3.290.381
05$6.74554$12.173$2.247$0.000.00$0.000.00$0.000.000
06$5.81425$13.676$0.968$0.000.00$25.984.47$25.984.470
07$11.05805$13.733$3.683$0.000.00$0.000.00$0.000.000
08$7.19549$13.106$1.198$3.560.49$3.560.49$3.560.491
09$6.37448$14.223$2.123$12.992.04$0.000.00$0.000.001
10$5.60443$12.642$2.800$12.992.32$0.000.00$0.000.001
11$4.03296$13.615$0.806$0.000.00$0.000.00$0.000.000
12$3.09283$10.922$1.545$3.291.06$0.000.00$0.000.001
13$4.22346$12.203$1.407$0.000.00$0.000.00$0.000.000
14$3.68330$11.153$1.227$0.000.00$0.000.00$0.000.000
15$3.83330$11.611$3.830$0.000.00$2.940.77$2.940.770
16$3.61330$10.943$1.203$2.940.81$0.000.00$0.000.001
17$4.32299$14.450—$0.000.00$0.000.00$0.000.000
18$1.69130$13.001$1.690$0.000.00$0.000.00$0.000.000
19$0.000—0—$0.00—$0.00—$0.00—0
20$2.0993$22.472$1.045$0.000.00$0.000.00$0.000.000
21$0.9364$14.531$0.930$0.000.00$3.583.85$3.583.850
22$3.54192$18.441$3.540$9.562.70$0.000.00$0.000.002
23$4.47192$23.285$0.894$0.000.00$0.000.00$0.000.000

HR1 — $0.00 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$0.000—0—$0.00—$0.00—$0.00—0
01$0.000—0—$2.94—$0.00—$0.00—1
02$0.000—0—$3.56—$0.00—$0.00—1
03$0.000—0—$3.16—$0.00—$0.00—1
04$0.000—0—$0.00—$0.00—$0.00—0
05$0.000—0—$0.00—$0.00—$0.00—0
06$0.000—0—$0.00—$0.00—$0.00—0
07$0.000—1$0.000$3.33—$0.00—$0.00—1
08$0.000—0—$0.00—$0.00—$0.00—0
09$0.000—0—$0.00—$0.00—$0.00—0
10$0.000—0—$0.00—$0.00—$0.00—0
11$0.000—0—$0.00—$0.00—$0.00—0
12$0.000—0—$2.99—$0.00—$0.00—1
13$0.000—0—$0.00—$0.00—$0.00—0
14$0.000—0—$0.00—$0.00—$0.00—0
15$0.000—0—$0.00—$0.00—$0.00—0
16$0.000—0—$0.00—$0.00—$0.00—0
17$0.000—0—$3.56—$0.00—$0.00—1
18$0.000—0—$0.00—$0.00—$0.00—0
19$0.000—0—$0.00—$0.00—$0.00—0
20$0.000—0—$0.00—$0.00—$0.00—0
21$0.000—0—$7.12—$0.00—$0.00—2
22$0.000—0—$0.00—$0.00—$0.00—0
23$0.000—0—$0.00—$0.00—$0.00—0

HR2 — $127.94 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$5.84573$10.1912$0.487$16.232.78$3.160.54$3.160.544
01$4.94722$6.8419$0.260$57.6911.68$19.373.92$19.373.928
02$6.28702$8.9521$0.299$30.044.78$14.242.27$14.242.275
03$3.92647$6.0613$0.302$14.353.66$0.000.00$0.000.002
04$4.42641$6.9016$0.276$0.000.00$7.121.61$7.121.610
05$5.31678$7.839$0.590$3.400.64$13.542.55$13.542.551
06$4.74668$7.1013$0.365$26.475.58$0.000.00$0.000.007
07$4.89678$7.2116$0.306$33.056.76$10.142.07$10.142.075
08$6.60668$9.8814$0.471$15.782.39$0.000.00$3.580.541
09$6.01814$7.3822$0.273$19.753.29$19.663.27$19.663.273
10$7.36942$7.8123$0.320$13.851.88$64.938.82$67.899.223
11$6.88904$7.6118$0.382$34.615.03$6.310.92$6.310.927
12$5.79885$6.5420$0.289$32.285.58$47.188.15$47.188.1510
13$6.41884$7.2521$0.305$12.872.01$48.587.58$74.4511.613
14$5.78643$8.9915$0.385$55.999.69$10.111.75$10.111.758
15$5.45749$7.2813$0.419$61.5911.30$10.501.93$10.501.9311
16$6.33854$7.4118$0.352$41.196.51$14.242.25$14.242.256
17$7.02831$8.4517$0.413$77.0610.98$9.091.29$12.661.8011
18$3.66459$7.9718$0.203$23.926.53$0.000.00$3.290.905
19$0.000—1$0.000$47.91—$0.00—$0.00—12
20$4.35375$11.6010$0.435$47.4710.91$7.111.64$14.233.2710
21$3.11277$11.2310$0.311$26.458.51$58.0618.67$58.0618.674
22$7.32573$12.779$0.813$36.154.94$0.000.00$3.160.436
23$5.53554$9.9814$0.395$46.848.47$0.000.00$0.000.003

Against the prior day, hour matched to hour

Hours both days delivered in, on the UTC clock: 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23. 2026-09-02 additionally delivered in 19. Only the shared hours are compared.

Counting which way each shared hour points, which needs no weighting and asks only for a direction:

metrichours 2026-09-02 ran higherhours it ran lowersign test
CPM20 of 233 of 23p = 0.000
CTR9 of 2314 of 23p = 0.405
click→install3 of 2320 of 23p = 0.000
CPI21 of 232 of 23p = 0.000

A sign test throws magnitude away and buys weight-free direction with it.

The full hour-by-hour pairing, 2026-09-01 → 2026-09-02

Every shared hour, 2026-09-01 → 2026-09-02. All columns are Meta's instrument on both sides of each ratio. Revenue is deliberately absent: per-hour payer counts run 0-3, so an hourly revenue column would be one person's basket read as a rate.

hrimpressionsCPMCTRclick→installCPI
005,794 → 1,2279.44 → 10.0711.01% → 11.65%23.7% → 15.4%0.362 → 0.561
017,784 → 7807.60 → 9.049.80% → 10.26%21.2% → 10.0%0.365 → 0.881
026,012 → 1,6827.33 → 8.017.87% → 9.22%15.0% → 11.6%0.621 → 0.748
035,101 → 1,5737.19 → 9.647.67% → 8.46%16.4% → 13.5%0.573 → 0.842
044,613 → 1,6557.66 → 11.177.65% → 9.55%15.6% → 11.4%0.643 → 1.027
054,043 → 1,5687.90 → 8.668.51% → 9.76%12.2% → 7.8%0.760 → 1.132
063,433 → 1,5867.58 → 9.219.79% → 8.95%15.8% → 9.9%0.491 → 1.044
075,112 → 1,5468.42 → 9.648.47% → 8.73%11.5% → 8.1%0.861 → 1.355
085,540 → 1,5507.65 → 9.148.45% → 8.19%13.7% → 8.7%0.662 → 1.288
094,684 → 1,4837.56 → 9.877.58% → 9.31%11.8% → 10.9%0.843 → 0.975
104,499 → 1,5807.49 → 9.769.14% → 8.86%12.9% → 5.7%0.636 → 1.927
113,579 → 1,4608.05 → 9.019.05% → 9.25%16.7% → 7.4%0.534 → 1.315
123,213 → 1,6498.06 → 8.649.74% → 7.82%14.4% → 17.1%0.576 → 0.647
132,918 → 1,8908.20 → 10.5910.21% → 8.89%15.1% → 8.9%0.532 → 1.335
142,505 → 2,0098.96 → 8.4410.34% → 8.61%15.4% → 11.0%0.561 → 0.893
152,600 → 2,0287.81 → 10.329.19% → 8.88%11.7% → 7.8%0.725 → 1.494
162,626 → 2,2208.17 → 9.549.37% → 8.83%13.4% → 9.2%0.650 → 1.176
172,760 → 2,1079.08 → 9.529.71% → 9.07%14.6% → 11.5%0.643 → 0.912
181,284 → 1,3699.14 → 13.5310.44% → 8.98%21.6% → 12.2%0.404 → 1.235
201,127 → 1,16712.57 → 15.3012.69% → 10.71%9.1% → 18.4%1.090 → 0.776
21359 → 1,14310.95 → 14.6512.26% → 10.50%20.5% → 15.0%0.437 → 0.930
221,512 → 89314.31 → 13.5411.97% → 8.51%13.3% → 9.2%0.902 → 1.727
231,459 → 94112.82 → 10.5411.99% → 9.67%14.9% → 15.4%0.719 → 0.709

CPM rose in 20 of 23 shared hours, p = 0.000, and the pooled read agrees, $8.24 to $10.13, so that direction needs no weighting to stand.

Click-to-install fell in 20 of 23 shared hours and pooled, 15.71% to 10.96% at p = 0.000, and CPI rose with it in 21 of 23 and pooled, $0.571 to $1.010.

CTR did not move on either read: 14 hours of 23 lower at p = 0.405, and pooled 9.19% to 9.15% at p = 0.803.

Hours 00 to 06 hold HR2 on the 09-01 side and not on the 09-02 side, because this pairing's loader holds HR2's 08-31 account-day file and neither later one; in the 16 shared hours from 07, which hold the same two accounts on both days, CPM still runs higher in 13 and click-to-install lower in 13, and the 09-01 side of those hours holds poolphotob, which the campaign section reads.

2026-09-04T08:32:40.133038 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 0 5 10 15 20 hour (UTC) 8 9 10 11 12 CTR % CTR 2026-09-01 2026-09-02 0 5 10 15 20 hour (UTC) 7 8 9 10 11 12 13 14 15 USD per 1,000 impressions CPM 0 5 10 15 20 hour (UTC) 5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 installs / clicks % Click → install 0 5 10 15 20 hour (UTC) 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 USD Cost per install Delivery by hour — 2026-09-02 against 2026-09-01, shared hours only (UTC)
The same four ratios with the prior day laid over the day, shared hours only

Country, 2026-09-02

(i) The portfolio by country, 2026-09-02. On the report clock. Meta serves no hour x country grid, so each country cut is raked from its own Meta day onto UTC; our own columns were already there.

ccspendshareimpressionsCPMregistrations (ours)cost/regwithin-daywROASpayers
IN$89.5723.7%14,741$6.08236$0.380$93.491.0450
US$30.698.1%647$47.4820$1.535$34.951.1417
ID$22.295.9%3,560$6.2655$0.405$42.071.8912
MX$14.793.9%1,229$12.0333$0.448$3.400.2312
GB$12.403.3%372$33.337$1.772$0.000.006
TR$10.972.9%647$16.9530$0.366$7.150.6511
PH$9.252.5%2,323$3.9828$0.331$10.041.095
MY$8.492.3%914$9.2918$0.472$6.360.755
AR$8.442.2%821$10.2819$0.444$61.957.347
CL$8.382.2%579$14.4920$0.419$10.671.273
SV$6.611.8%107$61.822$3.304$0.000.000
PL$6.591.7%260$25.305$1.318$7.481.144

154 further countries are not listed, $148.70 between them (39.4% of this block).

Reconciliation, what is measured and what is fitted. Every per-country cell is an allocation across hours; every total is measured. B1 (UTC-7) $70.83 from Meta 2026-09-01 and $221.75 from Meta 2026-09-02, a measured UTC-day total of $292.58; Dicey2 (UTC-7) $23.88 from Meta 2026-09-01 and $60.73 from Meta 2026-09-02, a measured UTC-day total of $84.61.

Absent from the table above, by name: Nomad Node, KBM1, HR1. Their spend is in every day-grain table; only their country split is missing.

(ii) The same cut per account, 2026-09-02.

B1

ccspendshareimpressionsCPMregistrations (ours)cost/regwithin-daywROASpayers
IN$70.2324.0%12,868$5.46101$0.695$28.480.4127
US$24.978.5%600$41.6214$1.784$28.971.1615
ID$17.115.8%3,128$5.4718$0.951$14.690.8610
MX$11.914.1%1,058$11.2513$0.916$0.000.009
GB$11.173.8%349$32.017$1.596$0.000.005
TR$7.992.7%548$14.577$1.142$3.580.456
PH$7.862.7%2,169$3.6218$0.437$10.041.285
MY$7.152.4%849$8.4211$0.650$3.180.443
AR$7.122.4%747$9.535$1.424$55.977.864
CL$5.912.0%466$12.678$0.738$7.121.201
FR$5.411.8%203$26.584$1.352$0.000.003
IT$4.641.6%240$19.313$1.547$0.000.002

150 further countries are not listed, $111.10 between them (38.0% of this block).

Dicey2

ccspendshareimpressionsCPMregistrations (ours)cost/regwithin-daywROASpayers
IN$19.3422.9%1,873$10.336$3.224$18.740.972
US$5.726.8%46$123.130—$0.000.000
BR$5.496.5%236$23.296$0.916$9.471.721
ID$5.186.1%431$12.002$2.589$0.000.000
PL$3.003.5%22$138.720—$0.000.000
TR$2.983.5%99$30.110—$0.000.000
SV$2.983.5%13$233.680—$0.000.000
MX$2.883.4%171$16.861$2.884$0.000.000
CL$2.482.9%112$22.052$1.238$0.000.000
TH$2.172.6%151$14.401$2.172$0.000.000
PH$1.391.6%154$9.061$1.393$0.000.000
ZA$1.371.6%47$29.061$1.372$3.392.471

110 further countries are not listed, $29.61 between them (35.0% of this block).

HR2

ccspendshareimpressionsCPMregistrations (ours)cost/regwithin-daywROASpayers
AE$0.000.0%0—4$0.000$0.00—0
AR$0.000.0%0—14$0.000$5.98—2
AU$0.000.0%0—1$0.000$0.00—0
BA$0.000.0%0—1$0.000$0.00—0
BE$0.000.0%0—1$0.000$0.00—0
BH$0.000.0%0—2$0.000$0.00—0
BR$0.000.0%0—106$0.000$31.56—22
BY$0.000.0%0—1$0.000$0.00—0
CH$0.000.0%0—0—$0.00—1
CL$0.000.0%0—10$0.000$3.56—2
CO$0.000.0%0—11$0.000$2.97—4
CR$0.000.0%0—3$0.000$0.00—0

55 further countries are not listed, $0.00 between them (0.0% of this block).

Nomad Node — no country block: its country export never arrived.

KBM1 — no country block: its country export never arrived.

HR1 — no country block: its country export never arrived.

The portfolio table is B1 and Dicey2, $377.19 between them on 09-02 and $645.03 on 09-01. HR2's country export was not staged in this run, so its block above carries registrations and payers by country against $0.00 of spend, which is an absence and not a measured zero, and the reconciliation line names the two accounts that are in; the 09-01 page carried HR2's $127.94 in this section.

India and the United States are the only country cells above the 16-payer bar on both days: India is 23.7% of spend at within-day 1.04 on 50 payers against 1.14 on 70, and the United States 8.1% at 1.14 on 17 against 1.38 on 19, at a CPM of $47.48, five times the portfolio's $9.19.

Argentina's 7.34 on seven payers is not a return: $55.97 of its $61.95 sits in one shirtb cell of three installs on $4.64 of spend.

The known-answer test had no account to run on. Raking is checked by requiring a UTC+0 account to come back unchanged, and both accounts in this cut are UTC-7, so the day rests on the reconciliation above.

The cost-per-install figure below draws nothing, and has not on any day of this series. The raked country cut carries spend, impressions and our own registrations, and Meta's per-country install count is not in it, so that chart has no denominator.

2026-09-04T08:32:40.246347 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ IN US ID MX GB TR PH MY AR CL SV PL 0 20 40 60 80 USD delivery raked onto the report clock against two measured margins; revenue is the report day Spend against within-day revenue by country — 2026-09-02 spend within-day revenue
Spend against within-day revenue, by country
2026-09-04T08:32:40.281548 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ −0.04 −0.02 0.00 0.02 0.04 USD per install Cost per install by country — 2026-09-02 (report clock)
Cost per install by country

Aggregate, both days

2026-09-012026-09-02change
spend$772.97$508.16−34.3%
impressions93,64755,316−40.9%
CPM$8.25$9.19+11.3%
registrations (ours)1,517874−42.4%
cost per registration$0.510$0.581+14.1%
booked$2,903.43 (3.76)$2,622.63 (5.16)−9.7%
Meta booked$3,086.40 (3.99)$2,713.39 (5.34)
within-day$1,046.04 (1.35)$486.14 (0.96)−53.5%
cohort @ 24h$1,187.68 (1.54)$588.43 (1.16)−50.5%
booked payers318254−64
payer rate (d0)9.0%9.4%+0.4 pts
ARPU (d0)$0.7829$0.6733−14.0%
ARPPU (d0)$8.67$7.18−17.2%

(ii) The same three measures per account on both days are the one-table-per-account block under The day, and every account above, which is where the instrument emits them.

Pooled over the 23 hours both days delivered in, on the UTC clock. Meta's instrument on both sides of every ratio.

spendimpressionsCPMclicksCTRinstallsclick→installCPI
2026-09-01$680.4882,5578.247,5899.19%1,19215.71%$0.571
2026-09-02$355.4835,10610.133,2119.15%35210.96%$1.010
  • click → install 15.71% → 10.96% (-30.2%, p = 0.000) — fell.
  • CTR 9.19% → 9.15% (-0.5%, p = 0.803) — did not separate.

Pooling across hours weights each hour by what it delivered. The hourly pairing is the unweighted read of the same two days; where they disagree, the mix moved.

The pooled funnel reads $680.48 and $355.48 where the day tables read $772.97 and $508.16, and the difference is HR2 on both days: this loader holds its 08-31 account-day file only, so 09-01 carries HR2's first seven UTC hours and 09-02 none of it, and the 09-02 side also leaves out hour 19, $21.71 of B1 and Dicey2, which 09-01 did not deliver in.

The weighted and unweighted reads point the same way on CPM, click-to-install and CPI, and CTR separates on neither, so no direction on this pair is a mix effect.

Booked revenue split by the UTC day its payer installed. The top row is the within-day figure.

installedbooked on 2026-09-02share
2026-09-02$486.1418.5%
2026-09-01$338.5812.9%
2026-08-31$350.4513.4%
2026-08-30$133.765.1%
2026-08-29$416.8015.9%
2026-08-28$96.023.7%

Six install days carry $1,821.75 of the day's money; the remaining $800.88 arrived from installs on or before 08-27, which the instrument does not list separately.

$2,136.49 of the day's money came from installs bought before it, 81.5%, against 64.0% on 09-01.

Both cohort horizons are closed on both days, and the 24 h one is what this page carries: $588.43 against $1,187.68 at 100% coverage. The 8 h rows for this day are not on this page, because this run was staged at the 24 h horizon alone; they stand on the 09-03 page's prior-day column.

2026-09-04T08:32:40.339725 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ booked within-day cohort @ 24h 0 500 1000 1500 2000 2500 3000 USD 4.27 1.54 1.75 6.95 1.29 1.56 the number above each bar is that measure's ROAS against the same day's spend The three revenue measures, 2026-09-01 against 2026-09-02 (UTC) 2026-09-01 2026-09-02
The three revenue measures on both days, ROAS above each bar
2026-09-04T08:32:40.392684 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 2026-09-01 2026-09-02 0 500 1000 1500 2000 2500 3000 USD the bottom segment IS the within-day figure: the same number seen twice Booked revenue by the day its payer installed (UTC) the day itself one day earlier two days earlier three days earlier four or more
Booked revenue by the day its payer installed

The campaigns

(i) Every campaign the portfolio ran, 2026-09-02.

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
bailingxia_srfhjyd_sn_ww_cvr_260820B1$308.6677.9%33,547$9.20347$0.890$193.570.63139
amclqzqgtmnn_5l4ya1pifdk3_sn_ww_cvr_260826Dicey2$87.5422.1%5,517$15.8731$2.824$35.150.408
dxu2a6iwzx5r_5l4ya1pifdk3_sn_ww_cvr_260826HR2$0.000.0%0—496$0.000$257.43—92

(ii) The same, per account, 2026-09-02.

B1

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
bailingxia_srfhjyd_sn_ww_cvr_260820B1$308.66100.0%33,547$9.20347$0.890$193.570.63139

Nomad Node

nothing delivered or registered.

KBM1

nothing delivered or registered.

Dicey2

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
amclqzqgtmnn_5l4ya1pifdk3_sn_ww_cvr_260826Dicey2$87.54100.0%5,517$15.8731$2.824$35.150.408

HR1

nothing delivered or registered.

HR2

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
dxu2a6iwzx5r_5l4ya1pifdk3_sn_ww_cvr_260826HR2$0.000.0%0—496$0.000$257.43—92

B1's and Dicey2's campaign CPMs both rose on their own days, $7.98 to $9.20 and $14.32 to $15.87, so the account-level rise is a price rise in both and not a mix change between them; HR2, whose CPM fell $8.14 to $7.05 on the report clock, is not in this cut.

HR2's campaign reads $0.00 on both days in this cut with 362 and 496 registrations against it, because this section is on each account's own day from the day export and HR2's was not staged on this run; the 80.8% and 77.9% shares are therefore B1 against Dicey2 alone, where the 09-01 page read B1 63.3%, HR2 21.7% and Dicey2 15.0% for the same day.

Activity history, B1, rendered range Aug 31 2026 to Sep 3 2026. No budget change falls inside either reported day: the $400 daily budget set on 2026-08-27 has not moved, so both days sit inside the same regime, R3-400, and every cell the estimator read on this run carries that regime.

Two events fell inside the day in B1: vid_ww_poolphotob_15s_9x16_sn_v1 went from Active to Not Approved at 00:45 UTC, and vid_ww_laceb_11s_9x16_sn_v1 went Active to Pending Process to Inactive at 22:01 UTC as its edit came out of review, so B1 ran three creatives between those two times and two after the second.

Held to B1's own campaign on the META clock at H=6, neither click to install nor the payer rate separates: 14.52% to 13.35% at p = 0.164 and 7.49% to 5.28% at p = 0.177, on 50 and 19 payers. Held to each creative in its own shared hours none fell, shirtb 11.97% to 12.16% at p = 0.900, laceb 14.33% to 12.70% at p = 0.436 and madapp 14.49% to 18.59% at p = 0.202; madapp's payer rate reads 16.13% to 4.23% at p = 0.040 on five payers against three, which is not readable at that sample size. The 30.2% fall on the UTC clock is therefore the roster and the coverage: poolphotob at 14.80%, templatewallb at 31.68% and HR2's seven hours sit on the 09-01 side of that pairing and none of them on the 09-02 side.

Every asset

(i) Every asset the portfolio ran, 2026-09-02. One row per ad, the account named on it.

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_shirtb_11s_9x16_sn_v1B1$118.8111,918$9.97105$1.132$100.090.84$105.9717
vid_ww_laceb_11s_9x16_sn_v1B1$117.7911,958$9.85175$0.673$46.900.40$53.9214
vid_ww_madapp_7s_9x16_sn_v1B1$72.069,671$7.4529$2.485$3.560.05$10.682
vid_ww_creamvloom_7s_9x16_sn_v1Dicey2$52.943,606$14.6826$2.036$35.150.66$38.315
vid_ww_creamsolara_7s_9x16_sn_v1Dicey2$34.601,911$18.114$8.650$0.000.00$0.001
vid_ww_editortabs_13s_9x16_sn_v1HR2$0.000—267$0.000$164.01—$203.2856
vid_ww_gym_12s_9x16_sn_v1 - CopyHR2$0.000—184$0.000$70.08—$84.0824
vid_ww_gym_12s_9x16_sn_v1HR2$0.000—37$0.000$20.37—$39.9111
vid_ww_poolphotob_15s_9x16_sn_v1B1$0.000—20$0.000$10.48—$10.4816
vid_ww_jetcone_7s_9x16_sn_v1HR2$0.000—8$0.000$2.97—$9.281
vid_ww_pooldirect_15s_9x16_sn_v1B1$0.000—6$0.000$0.00—$0.0015
vid_ww_templatewall_7s_9x16_sn_v1B1$0.000—4$0.000$3.56—$3.5618
vid_ww_kimono_10s_9x16_sn_v1B1$0.000—2$0.000$0.00—$0.006
vid_ww_poolphoto_15s_9x16_sn_v1B1$0.000—2$0.000$28.97—$28.9711
vid_ww_shirt_10s_9x16_sn_v1B1$0.000—2$0.000$0.00—$0.0020
vid_ww_lace_10s_9x16_sn_v1B1$0.000—1$0.000$0.00—$0.0012
vid_ww_salon_13s_9x16_sn_v1Dicey2$0.000—1$0.000$0.00—$0.000
vid_ww_templatewallb_7s_9x16_sn_v1B1$0.000—1$0.000$0.00—$0.005
vid_ww_kitchen_10s_9x16_sn_v1Dicey2$0.000—0—$0.00—$0.001
vid_ww_poolslow_15s_9x16_sn_v1B1$0.000—0—$0.00—$0.001
vid_ww_stockings_11s_9x16_sn_v1Dicey2$0.000—0—$0.00—$0.001
vid_ww_trainpress2_15s_9x16_sn_v1B1$0.000—0—$0.00—$0.002

(ii) The same, per account, 2026-09-02.

B1

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_shirtb_11s_9x16_sn_v1B1$118.8111,918$9.97105$1.132$100.090.84$105.9717
vid_ww_laceb_11s_9x16_sn_v1B1$117.7911,958$9.85175$0.673$46.900.40$53.9214
vid_ww_madapp_7s_9x16_sn_v1B1$72.069,671$7.4529$2.485$3.560.05$10.682
vid_ww_poolphotob_15s_9x16_sn_v1B1$0.000—20$0.000$10.48—$10.4816
vid_ww_pooldirect_15s_9x16_sn_v1B1$0.000—6$0.000$0.00—$0.0015
vid_ww_templatewall_7s_9x16_sn_v1B1$0.000—4$0.000$3.56—$3.5618
vid_ww_kimono_10s_9x16_sn_v1B1$0.000—2$0.000$0.00—$0.006
vid_ww_poolphoto_15s_9x16_sn_v1B1$0.000—2$0.000$28.97—$28.9711
vid_ww_shirt_10s_9x16_sn_v1B1$0.000—2$0.000$0.00—$0.0020
vid_ww_lace_10s_9x16_sn_v1B1$0.000—1$0.000$0.00—$0.0012
vid_ww_templatewallb_7s_9x16_sn_v1B1$0.000—1$0.000$0.00—$0.005
vid_ww_poolslow_15s_9x16_sn_v1B1$0.000—0—$0.00—$0.001
vid_ww_trainpress2_15s_9x16_sn_v1B1$0.000—0—$0.00—$0.002

Nomad Node

nothing delivered or registered.

KBM1

nothing delivered or registered.

Dicey2

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_creamvloom_7s_9x16_sn_v1Dicey2$52.943,606$14.6826$2.036$35.150.66$38.315
vid_ww_creamsolara_7s_9x16_sn_v1Dicey2$34.601,911$18.114$8.650$0.000.00$0.001
vid_ww_salon_13s_9x16_sn_v1Dicey2$0.000—1$0.000$0.00—$0.000
vid_ww_kitchen_10s_9x16_sn_v1Dicey2$0.000—0—$0.00—$0.001
vid_ww_stockings_11s_9x16_sn_v1Dicey2$0.000—0—$0.00—$0.001

HR1

nothing delivered or registered.

HR2

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_editortabs_13s_9x16_sn_v1HR2$0.000—267$0.000$164.01—$203.2856
vid_ww_gym_12s_9x16_sn_v1 - CopyHR2$0.000—184$0.000$70.08—$84.0824
vid_ww_gym_12s_9x16_sn_v1HR2$0.000—37$0.000$20.37—$39.9111
vid_ww_jetcone_7s_9x16_sn_v1HR2$0.000—8$0.000$2.97—$9.281

This section is on each account's own Meta day, as the campaign section above is. B1's rows sum to $308.66 and Dicey2's to $87.54; HR2's read $0.00 for the reason the campaign section gives, and tables A and B below are the same assets on the report clock.

vid_ww_gym_12s_9x16_sn_v1 - Copy is the name our ledger carries for two HR2 ads the ads map labels HR2/fittingroom and HR2/povpose. Its 184 registrations on this day are the 175 and 9 installs the cohort instrument joins on those two ids, and its $70.08 of within-day revenue is their $59.79 and $10.29 in table B; on 09-01 its 70 and $30.64 were their 60 and 10 and $24.92 and $5.72. The ledger records the ad name the tracker was built with, and both were built as copies of gym; this section joins on the name and shows one row for two ads, while tables A, B and C join on the id and carry both.

laceb is $117.79 of B1's $308.66 on the account day and $150.14 of its $292.58 on the report clock, shirtb $118.81 and $95.72, madapp $72.06 and $39.39: the report clock files madapp's spend after 17:00 on the account clock under 09-03, and laceb's first seven UTC hours are the account's 09-01 evening.

poolphotob reads $0.00 here and $7.33 in table A: its 45 minutes of the day fall in the account's 09-01 evening, and its 20 registrations here are the 27 installs table A counts for that window on Meta's instrument.

Twelve rows in table B booked money on no spend in table A, $2,030.62 between them, 77.4% of Sinai's booked total; five are HR2's, $704.80, which delivered all day on spend that table cannot see, and the other seven, $1,325.82, are cohorts bought before those creatives were pulled.

2026-09-04T08:32:40.460829 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 0 2 4 6 8 10 12 14 16 18 20 22 hour (UTC) 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 CTR % CTR by hour — every asset, 2026-09-02 (UTC) B1/laceb B1/shirtb Dicey2/creamvloom B1/madapp Dicey2/creamsolara
CTR by hour, one line per asset
2026-09-04T08:32:40.602149 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 0 2 4 6 8 10 12 14 16 18 20 22 hour (UTC) 0 10 20 30 40 50 installs / clicks % Click → install by hour — every asset, 2026-09-02 (UTC) B1/laceb B1/shirtb Dicey2/creamvloom B1/madapp Dicey2/creamsolara
Click-to-install by hour, one line per asset
2026-09-04T08:32:40.669672 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 0 2 4 6 8 10 12 14 16 18 20 22 hour (UTC) 0 1 2 3 4 USD Cost per install by hour — every asset, 2026-09-02 (UTC) B1/laceb B1/shirtb Dicey2/creamvloom B1/madapp Dicey2/creamsolara
Cost per install by hour, one line per asset
2026-09-04T08:32:40.534436 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 0 2 4 6 8 10 12 14 16 18 20 22 hour (UTC) 5 10 15 20 25 30 35 40 USD per 1,000 impressions CPM by hour — every asset, 2026-09-02 (UTC) B1/laceb B1/shirtb Dicey2/creamvloom B1/madapp Dicey2/creamsolara
CPM by hour, one line per asset

The standing per-asset tables

One row per ad across the whole Sinai buy, the account named on each. Delivery, then the three revenue measures, then the country mix.

A. Per asset — delivery

Meta's instrument on both sides of every ratio. Our registrations never enter this table.

assetspendimpressionsCPMclicksCTRinstallsclick→installCPI
B1/laceb$150.1415,9549.411,4719.22%17111.62%$0.878
B1/shirtb$95.7210,0369.541,08210.78%1009.24%$0.957
Dicey2/creamvloom$55.223,13617.6133210.59%247.23%$2.301
B1/madapp$39.395,3087.422364.45%3012.71%$1.313
Dicey2/creamsolara$29.391,49119.7115810.60%42.53%$7.348
B1/poolphotob$7.338079.0810012.39%2727.00%$0.271
B1/lace$0.000—0—0——
B1/poolphoto$0.000—0—0——
B1/shirt$0.000—0—1—$0.000
B1/pooldirect$0.000—0—3—$0.000
B1/kimono$0.000—0—0——
Dicey2/salon$0.000—0—0——
HR2/fittingroom$0.000—0—0——
HR2/povpose$0.000—0—0——
HR2/gym$0.000—0—0——
HR2/editortabs$0.000—0—0——
B1/templatewall$0.000—0—3—$0.000
B1/templatewallb$0.000—0—2—$0.000
HR2/jetcone$0.000—0—0——

B. Per asset — the three revenue measures

Ours on every column. Meta can express only booked, so it rides bracketed beside that column and never as a row. Payers are distinct people, never transactions. Cohort horizon H=24h, 100% covered on this day. Report clock UTC.

assetbookedbROAS (Meta)within-daywROAScohort@HcROASpayers (d0)payer% (d0)ARPU (d0)ARPPU (d0)largest payer
B1/laceb$54.050.36 (1.59)$46.900.31$53.920.36137.4%0.3084.1515.2%
B1/shirtb$128.941.35 (3.30)$100.091.05$105.971.111211.4%1.0098.8340.0%
Dicey2/creamvloom$35.150.64 (1.11)$35.150.64$38.310.69519.2%1.4737.6643.2%
B1/madapp$7.120.18 (3.35)$3.560.09$10.680.27310.3%0.3683.56100.0%
Dicey2/creamsolara$3.560.12 (1.16)$0.000.00$0.000.0000.0%0.000——
B1/poolphotob$138.0118.83 (40.44)$10.481.43$10.481.43315.0%0.5243.4935.7%
B1/lace$89.70— (—)$0.00—$0.00—00.0%0.000——
B1/poolphoto$185.15— (—)$28.97—$28.97—150.0%14.48528.97100.0%
B1/shirt$267.99— (—)$0.00—$0.00—00.0%0.000——
B1/pooldirect$432.78— (—)$0.00—$0.00—00.0%0.000——
B1/kimono$81.14— (—)$0.00—$0.00—00.0%0.000——
Dicey2/salon$0.00— (—)$0.00—$0.00—00.0%0.000——
HR2/fittingroom$87.80— (—)$59.79—$66.63—74.0%0.3819.5266.0%
HR2/povpose$129.19— (—)$10.29—$17.44—444.4%1.9384.3634.8%
HR2/gym$65.89— (—)$20.37—$39.91—513.5%1.0797.9869.8%
HR2/editortabs$418.95— (—)$164.01—$203.28—269.7%0.7617.8214.9%
B1/templatewall$206.38— (—)$3.56—$3.56—125.0%0.8903.56100.0%
B1/templatewallb$62.68— (—)$0.00—$0.00—00.0%0.000——
HR2/jetcone$2.97— (—)$2.97—$9.28—225.0%1.1604.64100.0%

The 16-payer bar (#37): any row above whose payer count is under 16 is a direction and never a magnitude.

C. Per asset — country mix

⚠ This table is cut on the META day, while every other table on this page is on the UTC clock. Meta serves no hour × country grid, so per-country delivery exists only on the ad account's own UTC-7 day and cannot be restitched. It is a seven-hour-offset window against tables A and B above; read it for mix, never for level against them.

The last column is the share of that asset's own within-day revenue that came from the United States: where it far exceeds the US spend share, the return is a property of the geography the asset bought.

assetspendIndia %US %other %US % of its revenue
B1/laceb$117.7925.4%7.2%67.4%0.0%
B1/shirtb$118.8122.4%6.6%71.0%0.0%
Dicey2/creamvloom$52.9422.9%8.5%68.6%0.0%
B1/madapp$72.0629.8%11.5%58.7%0.0%
Dicey2/creamsolara$34.6027.4%3.2%69.4%—

No asset that spent clears the 16-payer bar at d0 on the report clock: B1/laceb sits at 13 and B1/shirtb at 12, and every row that spent in table B is a direction. HR2/editortabs clears it at 26 payers, 9.7% and ARPU (d0) $0.761, on spend table A cannot see.

⚠ HR2/editortabs is the ad's NAME and not its clip. Ad 120251516018270671 plays vid_ww_uploadpanel_7s_9x16_sn_v1.mp4, read off its own media editor on 2026-09-01, so this row is that clip's record and the editor-tabs concept has never been live anywhere.

On this struck day every (Meta) bracket in table B is Meta's attribution and not that asset's revenue: B1/poolphotob's (40.44) sits beside a within-day 1.43 on three payers.

The estimator's window is 09-01 and 09-02 on the account clock, and its H=24 column is 100% covered on all four of B1's creatives for the first time since the roster changed: inside R3-400, poolphotob reads 1.28 on 451 installs, madapp 1.56 on 116, shirtb 0.88 on 244 and laceb 0.32 on 228, and mix-neutral 1.13, 1.37, 1.05 and 0.38; those figures pool the two account days and are not this UTC day's alone.

Head to head inside R3-400, poolphotob and shirtb do not separate on revenue, 1.28 against 0.88 with intervals of 0.73 to 1.96 and 0.44 to 1.46, and their audiences are not distinguishable in value at +24.2% with an interval spanning zero; poolphotob's hour-standardised CPM runs 14% under shirtb's and it is the dearer in 5 of 17 shared hours.

Revenue cannot carry a verdict on this account: 83 payers over 1,039 installs with a coefficient of variation of 5.44, and the largest regime-matched arm is 4% of the installs a 20% resolution needs.

Installs cost $0.878 to $1.313 across the three B1 assets that ran the day, on the report clock, laceb at the bottom and madapp at the top; Dicey2/creamvloom and Dicey2/creamsolara read $2.301 and $7.348 on 24 and 4 installs, and the spread is delivery, so cost per install does not rank an asset here.

B1/shirtb's within-day 1.05 on 12 payers carries 40.0% of it in one basket, and B1/madapp's 0.09 is three payers with one basket at 100%.

Table C reads 0.0% US revenue on every row that has revenue: the five assets that spent on the account day bought 3.2% to 11.5% of their spend in the United States and none of their within-day money came from it.

2026-09-04T08:32:40.825879 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ B1/shirtb B1/laceb B1/madapp Dicey2/creamvloom 0 20 40 60 80 100 % of that asset's spend Where each asset bought — share of its own spend by region, 2026-09-02 (META day) IN US ID MX TR GB other
Where each asset bought: share of its own spend by region
2026-09-04T08:32:40.892616 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ B1/shirtb B1/laceb B1/madapp Dicey2/creamvloom 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 USD per install Cost per install by region — every asset, 2026-09-02 (META day) IN US ID MX TR GB
Cost per install by region, every asset
2026-09-04T08:32:40.958971 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ B1/shirtb B1/laceb B1/madapp Dicey2/creamvloom 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 USD Within-day revenue by region — every asset, 2026-09-02 (META day) IN ID TR
Within-day revenue by region, every asset
2026-09-04T08:32:41.138761 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 08-30 08-31 09-01 09-02 day (UTC) 0 5 10 15 20 25 cohort payers / installs % Payer rate d0 by day — every asset (UTC) B1/pooldirect B1/poolphotob B1/madapp B1/laceb B1/shirtb HR2/fittingroom Dicey2/creamvloom HR2/editortabs HR2/povpose Dicey2/kitchen Dicey2/creamsolara B1/trainpress2 HR2/gym B1/templatewallb B1/kimono Dicey2/spill2 Dicey2/creamseed B1/templatewall
Payer rate d0 by day, one line per asset
2026-09-04T08:32:41.249797 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 08-30 08-31 09-01 09-02 day (UTC) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 cohort USD per install ARPU d0 by day — every asset (UTC) B1/pooldirect B1/poolphotob B1/madapp B1/laceb B1/shirtb HR2/fittingroom Dicey2/creamvloom HR2/editortabs HR2/povpose Dicey2/kitchen Dicey2/creamsolara B1/trainpress2 HR2/gym B1/templatewallb B1/kimono Dicey2/spill2 Dicey2/creamseed B1/templatewall
ARPU d0 by day, one line per asset
2026-09-04T08:32:41.361714 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 08-30 08-31 09-01 09-02 day (UTC) 0 5 10 15 20 25 30 cohort USD per payer ARPPU d0 by day — every asset (UTC) B1/pooldirect B1/poolphotob B1/madapp B1/laceb B1/shirtb HR2/fittingroom Dicey2/creamvloom HR2/editortabs HR2/povpose Dicey2/kitchen Dicey2/creamsolara B1/trainpress2 HR2/gym B1/templatewallb B1/kimono Dicey2/spill2 Dicey2/creamseed B1/templatewall
ARPPU d0 by day, one line per asset
2026-09-04T08:32:41.455943 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 08-30 08-31 09-01 09-02 day (UTC) 0 2 4 6 8 revenue / spend Within-day ROAS by day — every asset (UTC) B1/pooldirect B1/poolphotob B1/madapp B1/laceb B1/shirtb HR2/fittingroom Dicey2/creamvloom HR2/editortabs HR2/povpose Dicey2/kitchen Dicey2/creamsolara B1/trainpress2 HR2/gym B1/templatewallb B1/kimono Dicey2/spill2 Dicey2/creamseed
Within-day ROAS by day, one line per asset
2026-09-04T08:32:41.554354 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ CTR click→install CPI payer rate * ARPU * wROAS * 0.0 0.2 0.4 0.6 0.8 1.0 normalised across the day (1.0 = best of the pack) * axis sits under the 16-payer bar on most days: direction only, never a level. Assets under 20 installs on the day are not plotted. Composite — every asset across every measure, 2026-09-02 B1/laceb B1/shirtb Dicey2/creamvloom B1/madapp B1/poolphotob
Composite: every asset across every measure, normalised across the day

Vloom — every section below this line is Vloom's: the day, the hours, the countries, the campaigns and the assets, counted on Vloom's own ledger and its own accounts. Use the buttons above to switch.

Vloom's tab. Every section below is Vloom's: the day, the hours, the countries, the campaigns and the assets, on the lum ledger and the accounts that carried it.

Vloom bought nothing on 2026-09-02, as it bought nothing on 2026-09-01, and $681.44 still arrived from people who installed before the day.

The day, and every account

2026-09-012026-09-02change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)2120−4.8%
cost per registration$0.000$0.000—
booked$758.75$681.44−10.2%
Meta booked——
within-day$0.00$0.00—
cohort @ 24h$0.00$0.00—
booked payers4542−3
payer rate (d0)0.0%0.0%+0.0 pts
ARPU (d0)$0.0000$0.0000—
ARPPU (d0)$0.00$0.00—

2026-09-02 (the day) — delivery

accountspendshareimpressionsCPMregistrationscost/reg
Portfolio$0.000%0—20$0.000
B1$0.000%0—12$0.000
Nomad Node$0.000%0—8$0.000
KBM1$0.000%0—0—
Dicey2$0.000%0—0—
HR1$0.000%0—0—
HR2$0.000%0—0—

2026-09-02 (the day) — the three measures

accountbookedbROASwithin-daywROAScohort@24hcROASpayers (d0)payer% (d0)ARPU (d0)ARPPU (d0)
Portfolio$681.44—$0.00—$0.00—00.0%$0.0000—
B1$364.30—$0.00—$0.00—00.0%$0.0000—
Nomad Node$312.16—$0.00—$0.00—00.0%$0.0000—
KBM1$4.99—$0.00—$0.00—0———
Dicey2$0.00—$0.00—$0.00—0———
HR1$0.00—$0.00—$0.00—0———
HR2$0.00—$0.00—$0.00—0———

Each account, 2026-09-01 against 2026-09-02, one table each.

B1

2026-09-012026-09-02change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)1412−14.3%
cost per registration$0.000$0.000—
booked$630.88$364.30−42.3%
Meta booked——
within-day$0.00$0.00—
cohort @ 24h$0.00$0.00—
booked payers3832−6
payer rate (d0)0.0%0.0%+0.0 pts
ARPU (d0)$0.0000$0.0000—
ARPPU (d0)$0.00$0.00—

Nomad Node

2026-09-012026-09-02change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)78+14.3%
cost per registration$0.000$0.000—
booked$127.87$312.16+144.1%
Meta booked——
within-day$0.00$0.00—
cohort @ 24h$0.00$0.00—
booked payers79+2
payer rate (d0)0.0%0.0%+0.0 pts
ARPU (d0)$0.0000$0.0000—
ARPPU (d0)$0.00$0.00—

KBM1 — nothing delivered and nobody registered on either day.

Dicey2 — nothing delivered and nobody registered on either day.

HR1 — nothing delivered and nobody registered on either day.

HR2 — nothing delivered and nobody registered on either day.

No ratio in this section is readable. Every ROAS divides by zero, and the d0 cohort is zero payers among 20 registrations, so the 0.0% payer rate is a count of nobody and not a rate.

Within-day and the 24 h cohort are both $0.00 on both days, so nobody who arrived on either day paid inside their own first 24 hours.

Vloom's Meta booked line is not struck and carries nothing. Meta reported no conversion value against any Vloom campaign on either day, and the strike is measured per app.

Hourly, 2026-09-02

No hourly section: nothing delivered in any hour of this day, in any of the seven accounts, so every cell of the 24-row table and every one of its per-account blocks is a measured zero. The last Vloom delivery was the shared Nomad Node pair on 08-23. The charts this section would carry are not drawn, because a chart of a zero day draws nothing, and no figure on this page is Vloom's: the figure directory for the day holds Sinai's nineteen and nothing else.

Country, 2026-09-02

No country section: a country split of no spend has no rows. The country export for this day returns nothing for any Vloom campaign, and the raking that puts a country cut on the report clock has nothing to rake.

Aggregate, both days

2026-09-012026-09-02change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)2120−4.8%
cost per registration$0.000$0.000—
booked$758.75$681.44−10.2%
Meta booked——
within-day$0.00$0.00—
cohort @ 24h$0.00$0.00—
booked payers4542−3
payer rate (d0)0.0%0.0%+0.0 pts
ARPU (d0)$0.0000$0.0000—
ARPPU (d0)$0.00$0.00—

Read the booked column for what the base is still paying and nothing else here. Its $681.44 is inherited entirely, and the within-day column is the whole of what this day's own arrivals paid, which is nothing.

The campaigns

(i) Every campaign the portfolio ran, 2026-09-02.

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
bailingxia_meituan_ww_cvr_260802B1$0.000.0%0—11$0.000$0.00—26
0811_vl_bailingxia_srfhjyd-rain-chuvaNomad Node$0.000.0%0—6$0.000$0.00—4
0814_vl_bailingxia_srfhjyd_maimaiNomad Node$0.000.0%0—2$0.000$0.00—2
bailingxia_meituan_t3_cvr_260725B1$0.000.0%0—1$0.000$0.00—3
bailingxia_meituan_dach_cvr_260729B1$0.000.0%0—0—$0.00—1
bailingxia_meituan_ww_cvr_260730B1$0.000.0%0—0—$0.00—2

(ii) The same, per account, 2026-09-02.

B1

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
bailingxia_meituan_ww_cvr_260802B1$0.000.0%0—11$0.000$0.00—26
bailingxia_meituan_t3_cvr_260725B1$0.000.0%0—1$0.000$0.00—3
bailingxia_meituan_dach_cvr_260729B1$0.000.0%0—0—$0.00—1
bailingxia_meituan_ww_cvr_260730B1$0.000.0%0—0—$0.00—2

Nomad Node

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
0811_vl_bailingxia_srfhjyd-rain-chuvaNomad Node$0.000.0%0—6$0.000$0.00—4
0814_vl_bailingxia_srfhjyd_maimaiNomad Node$0.000.0%0—2$0.000$0.00—2

KBM1

nothing delivered or registered.

Dicey2

nothing delivered or registered.

HR1

nothing delivered or registered.

HR2

nothing delivered or registered.

No campaign delivered. Every Vloom campaign in every account spent $0.00 on this day; the money in the tables above is booked against install days that precede it, and Meta stamps a conversion on the conversion hour, so those rows keep landing on days with no delivery behind them.

Every asset

(i) Every asset the portfolio ran, 2026-09-02. One row per ad, the account named on it.

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_pool5_15s_9x16_v1B1$0.000—7$0.000$0.00—$0.0018
nomad-0811-03-rain-chuva-video-01Nomad Node$0.000—5$0.000$0.00—$0.004
nomad-0814-03-maimaiNomad Node$0.000—2$0.000$0.00—$0.002
vid_ww_bodysuit_10s_9x16_v1B1$0.000—2$0.000$0.00—$0.005
nomad-0811-03-rain-chuva-video-02Nomad Node$0.000—1$0.000$0.00—$0.000
vid_sasian_bikini_6s_9x16_v1B1$0.000—1$0.000$0.00—$0.001
vid_ww_lounge_8s_9x16_v1B1$0.000—1$0.000$0.00—$0.001
vid_ww_spill_8s_9x16_v1 - CopyB1$0.000—1$0.000$0.00—$0.001
vid_de_german_10s_9x16_v1B1$0.000—0—$0.00—$0.001
vid_sasian_bodysuit_10s_9x16_v1B1$0.000—0—$0.00—$0.001
vid_utility_6s_9x16_v1B1$0.000—0—$0.00—$0.001
vid_ww_bikini_10s_9x16_v1B1$0.000—0—$0.00—$0.003

(ii) The same, per account, 2026-09-02.

B1

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_pool5_15s_9x16_v1B1$0.000—7$0.000$0.00—$0.0018
vid_ww_bodysuit_10s_9x16_v1B1$0.000—2$0.000$0.00—$0.005
vid_sasian_bikini_6s_9x16_v1B1$0.000—1$0.000$0.00—$0.001
vid_ww_lounge_8s_9x16_v1B1$0.000—1$0.000$0.00—$0.001
vid_ww_spill_8s_9x16_v1 - CopyB1$0.000—1$0.000$0.00—$0.001
vid_de_german_10s_9x16_v1B1$0.000—0—$0.00—$0.001
vid_sasian_bodysuit_10s_9x16_v1B1$0.000—0—$0.00—$0.001
vid_utility_6s_9x16_v1B1$0.000—0—$0.00—$0.001
vid_ww_bikini_10s_9x16_v1B1$0.000—0—$0.00—$0.003

Nomad Node

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
nomad-0811-03-rain-chuva-video-01Nomad Node$0.000—5$0.000$0.00—$0.004
nomad-0814-03-maimaiNomad Node$0.000—2$0.000$0.00—$0.002
nomad-0811-03-rain-chuva-video-02Nomad Node$0.000—1$0.000$0.00—$0.000

KBM1

nothing delivered or registered.

Dicey2

nothing delivered or registered.

HR1

nothing delivered or registered.

HR2

nothing delivered or registered.

No asset delivered, so every spend cell above is $0.00 and no ratio in the block is defined. Registrations still arrived against no impression anywhere, 12 in B1 and 8 in Nomad Node, which is the same back-catalogue effect one level down.

3Caveats

Both days' cohort @ 24h are complete for Sinai. 2026-09-02's cohort closed 24 hours after the last install of its own day, 2026-09-04 00:00 UTC, and the payment cut was taken at 15:19; coverage reads 100% on both days, so the change column between them is a real comparison.

This is the day's first publication, and it carries the 24 h horizon alone. The 8 h run for 09-02 pulled every account at every grain and wrote no tables and no page. This run's instruments were staged at the 24 h horizon only, its header carrying no also reported: 8h, so the headline tables carry the d0 rows and no (8h) rows; the 8 h figures for 09-02 closed at 08:00 UTC on 09-03 and stand on the 09-03 page's prior-day column, and nothing here is compared against them.

HR2's and NN1's rows reach this page through the archive of run directories, not through this run's own pull. That pull, on the evening of 09-03 on the account clock, holds B1 and Dicey2 only and wrote no pull manifest; the morning staging of this same day, in _runs/2026-09-03_2026-09-02_daily_auto/exports/, pulled HR2 and NN1 at every grain, and the hourly loader reads earlier runs' files where this run has none. So HR2's $130.97 and NN1's zero are measured on every day-grain and hourly table. The campaign, per-asset and country sections read this run's own config, which lists B1 and Dicey2, so HR2 is absent from them.

The pooled funnel and the hour pairing carry less of HR2 than the day tables do. Their loader holds HR2's 08-31 account-day file and neither later one, so 09-01 reads $680.48 there against $772.97 in the day tables and 09-02 reads $355.48 against $508.16; the delivery directions are B1's and Dicey2's with seven hours of HR2 on one side, and the section says which hours.

The campaign and per-asset sections read HR2 at $0.00 on both days. Those two sections cut each account on its own day from the day export, and HR2's is not in this run, so its $0.00 there is an absence on 09-01 as well as on 09-02; the 09-01 page carried HR2 at $134.96 in the same section.

HR2's country block is registrations and payers against no spend, for the same reason, and the portfolio country table is B1 and Dicey2 only, $377.19 on 09-02 and $645.03 on 09-01, where the 09-01 page carried $772.91 with HR2 in it.

within-day is sealed and does not move. It is the column to read on this page, and cohort @ 24h is the cross-check on it, closed on both days.

The Overview's combined Meta booked cell for 09-01 stands on this page and is struck in the file the run emitted. The combiner that adds the two apps' headline tables carries one strike flag across both columns, so 09-02's strike reached 09-01's cell; the app-level test, which is the measured one, did not fire on 09-01 and Vloom's line carries nothing, so by the combiner's own rule the combined cell is unstruck. No figure differs between the two; only the mark does.

The strike test is one-sided and an unstruck day is not a clean one. On Dicey2's own row Meta books $198.47 against $45.13 in our records, 4.4 times it, which is the shape the 08-24 note established; the excess is not split per account or per asset, so every (Meta) bracket in table B on this struck day is Meta's attribution and not that asset's revenue.

Two different kinds of zero sit in the account tables, and they are not the same fact. NN1's hourly files for both days are in the archive and read zero in every hour, which is a measured zero. NN2, KBM1 and HR1 were stopped by Meta on 08-23, 08-24 and 08-24 and are no longer pulled at any grain, so their $0.00 is an absence of measurement; all three still book revenue through the payment ledger, which needs no export. NN1's day and country exports are not in this run either, so its coverage row reads hourly and day and no country.

The money ledger names twenty-one account-days it cannot measure, all of them in those three accounts. NN2, KBM1 and HR1 across 08-29 to 09-02, each for whichever app it carries. No account that delivered is among them, and HR2's 09-02 is measured in it.

The country block reconciles on both delivering accounts in it. Neither is UTC+0, so the known-answer identity that checks the raking had nothing to run on, and the section rests on its reconciliation line instead.

Every day-grain and hourly table on this page reads a Sinai total of $508.16. The country section reads $377.19 because HR2 is absent from it, and the campaign and per-asset sections are cut on each account's own day, B1 at $308.66 and Dicey2 at $87.54.

There is no ours / Meta instrument reading for Sinai in this run. That gate is valid only on the META clock, and the META-clock pass was configured against the Vloom ledger, which bought nothing. The 1.42 ratio the UTC pass prints is stamped CROSS-CLOCK, NOT A VALID CHECK by the instrument itself and is not the gate. The Meta strike above is a separate test, measured on purchase counts, and on this day it fired.

There is no mix-neutral account CPM line on this page. The instrument that renders it ran against the Vloom config, which delivered nothing, so the line it emitted reads $0.00 to $0.00. The campaign mix is stated instead, as each campaign's share of spend on both days.

The estimator's H=24 column is quotable on all four B1 creatives and describes two account days. Its own coverage note reads 100% on poolphotob, shirtb, laceb and madapp, above the 80% bar at which a horizon figure describes the whole of an ad's run; its window is the 09-01 and 09-02 account days together, so no figure in it is this UTC day's alone.

The ads map labels ad 120251516018270671 HR2/editortabs, which is its name in Ads Manager and not the file it plays. The local correction to HR2/uploadpanel recorded in daily_pipeline.py is not in this run's configs either: the map is auto-derived from the ad name for any id it does not already carry, and a map rebuilt from scratch loses the entry.

vid_ww_gym_12s_9x16_sn_v1 - Copy is not an ad the ads map lacks. It is the name our ledger carries for the two ids the map labels HR2/fittingroom and HR2/povpose, and the per-asset section, which joins on the name, shows one row for the two of them; tables A, B and C join on the id and carry both, and the 09-03 page's reading of it as an unmapped ad is corrected here.

Dicey2's budget history is unverified for this run. The staged history is B1's, so the $100 daily budget its regime table records for 2026-08-28 onward has not been re-checked here. Dicey2 spent $87.54 on its own day against that figure.

The per-account coverage note the instrument emits states the wrong targeting for two accounts. It reads KBM1 and HR1 as United States only at 100% US delivery, which is their Vloom targeting, attached to the account rather than to the campaign. Neither account delivered on this day, so nothing above rests on it.

The country section names Nomad Node, KBM1 and HR1 as absent from its table and does not name HR2, whose block is present with $0.00 of spend; the per-account blocks in that section say which is which, and this page names HR2 above.

Every figure is priced through an FX table stamped 2026-08-01, which reads 0.8% low against Google Play's own record.

The prior-day column restates 09-01 a day later. This run reads the portfolio at $772.97 and 93,647 impressions where the 09-01 page carried $772.91 and 93,630, the difference being $0.04 and 13 impressions in B1 and $0.02 and 4 impressions in Dicey2, with HR2 unchanged. Registrations, payers and both apps' revenue for 09-01 are unchanged, and the campaign and per-asset blocks move by the same cents on each account's own day.

The 09-03 page's prior-day column carried this day from a later pull. It read $508.33, B1 $292.71 and Dicey2 $84.65 where this run's files read $508.16, $292.58 and $84.61, HR2 unchanged at $130.97; every revenue figure and every payer count for 09-02 is the same on both pages.

4What this hands to the next read

B1 enters 09-03 with shirtb and madapp, laceb having been switched off at 22:01 UTC; on this day neither cleared 16 payers at d0, 12 and 3, and the estimator now covers both at 100% inside R3-400, 0.88 and 1.56 over the two account days.

laceb closed its run at 228 installs inside R3-400, $0.827 an install and 0.32 at H=24, on 13 payers at d0 on this day and 3 the day before, and with 31% of its installs in India.

HR2 is the day's largest per-user earner and its cheapest source of registrations, 26% of the buy at within-day 1.97 on 44 payers and $0.264 a registration, and 37% more registrations than the day before at 40.5% less ARPU (d0): editortabs's payer rate went 14.6% to 10.9% on 261 and 267 installs, and fittingroom's 8.3% to 4.0% on 60 and 175.

HR2 stopped delivering at 16:00 UTC on 09-03 and its exports left the pull. That is the 09-03 page's event; it reaches this page only as the missing day and country files, and the 09-03 completion needs HR2's account-day file consumed or it carries a seven-hour figure beside a closed 24 h cohort.

Dicey2 still cannot answer a revenue question. Five payers at d0 on $84.61, and its CPM rose 42.1% to $18.29, twice B1's.

Click-to-install fell 30% on the UTC clock and did not separate on the account clock, and what sits between is the roster and the coverage: poolphotob, templatewallb and HR2's seven hours on the 09-01 side of the UTC pairing and none of them on the 09-02 side.

The combiner's strike flag needs scoping per day. Until it is, every combined Overview line will carry a strike on the day beside any struck day, whatever that day's own test says.

The editortabs label correction is lost and will keep coming back, and gym - Copy needs no map entry: it needs the per-asset section to join on the ad id as tables A, B and C do.

A run staged at one horizon prints one horizon's rows. This run's header carries no also reported: 8h, and the nightly's own default asks for both.

5Reproduce

Staged in _runs/2026-09-04_2026-09-02_daily_auto/. Its exports were pulled at 00:10 UTC on 09-04 for B1 and Dicey2 and for no other account, and its instruments ran at 15:32 UTC on 09-04 at the 24 h horizon alone, after the 09-02 cohort sealed at 2026-09-04 00:00 UTC. The 8 h run in _runs/2026-09-03_2026-09-02_daily_auto/ pulled every account at every grain at 08:21 UTC on 09-03 and wrote no tables and no page; its HR2 and NN1 hourly files are what this run's hourly loader reads. This is the day's first publication and its completion at once.

# the pull, both ledgers, every config and every instrument, in one command
python -m ad_ops.daily_pipeline --day 2026-09-02

# the country cut the figures are drawn from, then the figures, as the pipeline issues them
python -m ad_ops.country_json --run <run> --days 2026-09-01,2026-09-02
python -m ad_ops.report_charts --config <run>/run_config_sinai_full.json \
    --day 2026-09-02 --prev 2026-09-01 --days 2026-08-30,2026-08-31,2026-09-01,2026-09-02 \
    --app sinai_ww --country-json <run>/country_sinai_ww.json \
    --out ad_ops/figures/2026-09-02_sinai --md <run>/chartblock_sinai_ww.md \
    --relpath figures/2026-09-02_sinai

Payment cut 2026-09-04 15:19 UTC for Sinai and 15:06 UTC for Vloom; the matched-hours funnel on the META clock and the estimator run on a 2026-09-04 08:19 PT cut. B1's campaign activity history was requested over Aug 31 to Sep 4 and the range the page actually rendered, Aug 31 2026 to Sep 3 2026, was asserted before any row of it was read.

6Appendix — definitions

The report clock is UTC. Meta stamps its exports in each ad account's own zone, B1, KBM1, Dicey2 and HR2 on UTC-7 and HR1 and the Nomad Node pair on UTC+0, so every delivery row on this page is restitched from the hourly exports onto UTC. The campaign section, the per-asset section and table C are the exceptions and say so where they appear.

The three revenue measures, all on our own payment records:

measurecountsmoves after the day closes?
booked (bROAS)revenue that arrived inside the report day, whatever day its payer installedsettles a few hours after midnight, then fixed
within-day (wROAS)installed that day and paid before that day closednever. Sealed at midnight
cohort @ 24h (cROAS)that day's installs, counted within 24 hours of each person's own installrises until every install has lived 24 hours, then frozen

A day is published twice. The morning page carries the 8 h cohort, the only horizon closed that early, and the evening page carries the 24 h cohort and completes it. This day had no morning page, so this page is both: every per-user row on it is the settled 24 h one, and the 8 h rows for the day stand on the 09-03 page.

Meta booked is Meta's own conversion value over Meta's own spend, both restitched onto the report clock from the same hourly export. It is struck through on any day where Meta booked more purchases than the payment processor processed, and nothing is written in its place: the true figure is the booked row directly above it.

A regime is a stretch over which the ad set's daily budget did not change. It is in a daily report because the budget is a geography dial on this account: raising it buys wider and cheaper countries, so two days either side of a change are not buying the same audience.

The 16-payer bar is decision #37: a row carrying fewer than sixteen distinct payers is a direction and never a magnitude.

Internal — noindex. Not for distribution outside the team.