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Daily campaign report — 2026-09-05, against 2026-09-04

The portfolio spent $602.54 on 2026-09-05 against $450.65 the day before, and booked $3,553.30 against $3,829.23. Only Sinai was bought, for a thirteenth day running: B1 took $493.20 against $349.49 and Dicey2 $109.34 against $101.16, on the same creatives they ran the day before, and B1's campaign was not touched inside either day. HR2 registered 208 people against 441 and none of its spend was measured on either day. This is the day's 8 h publication and the evening run completes it. Definitions, the report clock and the three revenue measures are in the appendix.

Meta's own line is struck in both columns of every Sinai table below. The strike says the figure is Meta's attribution and not our revenue, and nothing is written in its place — the true figure is the booked row above it, $2,744.80 and $2,685.29 against Meta's $2,327.86 and $2,066.59. The size of the disagreement is not evenly spread: on Dicey2's own row Meta books $479.85 against the $84.21 in our records, 5.7 times it, and that excess cannot be split per account or per asset. 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.

2026-09-042026-09-05change
spend$450.65$602.54+33.7%
impressions37,34153,680+43.8%
CPM$12.07$11.22−7.0%
registrations (ours)896890−0.7%
cost per registration$0.503$0.677+34.6%
booked$3,829.23 (8.50)$3,553.30 (5.90)−7.2%
Meta booked$2,327.86 (5.17)$2,066.59 (3.43)
within-day$721.67 (1.60)$546.75 (0.91)−24.2%
cohort @ 24h$815.24 (1.81)—not comparable, see Caveats
booked payers347326-21
payer rate (8h)10.4%7.9%-2.5 pts
ARPU (8h)$0.7042$0.6734−4.4%
ARPPU (8h)$6.79$8.56+26.1%
payer rate (d0)11.4%——
ARPU (d0)$0.9099——
ARPPU (d0)$8.00——

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

This is the 8 h page, so every (d0) and cohort @ 24h cell in the 2026-09-05 column is blank and stays blank. That horizon closes at 00:00 UTC on 2026-09-07, sixteen hours after this run's payment cut of 2026-09-06 08:20 UTC, and the evening page carries it; d3 and d7 close on 2026-09-10 and 2026-09-14. The 09-04 column is settled at 100% coverage. A blank is a number that does not exist yet, never a zero, and 09-05's 8 h figures may not be set against 09-04's 24 h ones.

The measured buy rose 33.7% and the registrations it bought rose 50.2%: B1 and Dicey2 together registered 652 people against 434, at $0.986 and $0.719 each, while the portfolio line's cost per registration rose 34.6% because HR2's unmeasured registrations, 441 to 208, sit in its denominator against no spend.

The payer rate fell 2.5 points at 8 h and ARPPU rose 26.1%, 70 payers of 890 registrations against 93 of 896 and $6.79 to $8.56 a payer, which leaves ARPU (8h) 4.4% lower.

The within-day return fell 1.60 to 0.91 and Sinai's 8 h cohort 1.38 to 0.99, and neither is a return on the spend it divides: the four creatives that carry the measured spend hold $490.36 of Sinai's $599.34 at 8 h against $351.16 of $620.36 the day before, 0.81 and 0.78 on their own spend, and the rest is HR2's cohort against no cost.

B1 took 81.9% of what was measured against 77.6% and its CPM fell 4.8% while both its creatives' CPMs rose, $13.25 to $13.32 and $7.51 to $7.99; madapp went from 27.4% of B1's spend to 41.4%, so the fall is mix and not price.

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

account2026-09-04 spend2026-09-05 spendchange2026-09-04 registrations2026-09-05 registrations
Portfolio$450.65$602.54+33.7%896890
B1$349.49$493.20+41.1%343522
Nomad Node$0.00$0.00—46
KBM1$0.00$0.00—11
Dicey2$101.16$109.34+8.1%107152
HR1$0.00$0.00—01
HR2$0.00$0.00—441208

HR2's $0.00 is an absence of measurement and not a zero, on both days now: its hourly, day and country exports have been skipped since 09-04, while 208 registrations arrived from its campaign against 441, 19 of them in the nine hours from 12:00 to 20:00 UTC against 176 in the same hours the day before.

NN1 exported at every grain and delivered nothing, 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 exported at any grain, and HR2 left the pull on 09-04. All of them 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 $602.54 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's measured spend was $602.54 against $450.65, and it booked $2,685.29 against $2,744.80.

The day, and every account

2026-09-042026-09-05change
spend$450.65$602.54+33.7%
impressions37,34153,680+43.8%
CPM$12.07$11.22−7.0%
registrations (ours)876862−1.6%
cost per registration$0.514$0.699+35.9%
booked$2,744.80 (6.09)$2,685.29 (4.46)−2.2%
Meta booked$2,327.86 (5.17)$2,066.59 (3.43)
within-day$711.05 (1.58)$546.75 (0.91)−23.1%
cohort @ 24h$804.62 (1.79)—not comparable, see Caveats
booked payers288265−23
payer rate (8h)10.4%8.1%−2.3 pts
payer rate (d0)11.4%—
ARPU (8h)$0.7082$0.6953−1.8%
ARPU (d0)$0.9185—
ARPPU (8h)$6.82$8.56+25.6%
ARPPU (d0)$8.05—

2026-09-05 (the day) — delivery

accountspendshareimpressionsCPMregistrationscost/reg
Portfolio$602.54100%53,680$11.22862$0.699
B1$493.2082%47,253$10.44500$0.986
Nomad Node$0.000%0—0—
KBM1$0.000%0—1$0.000
Dicey2$109.3418%6,427$17.01152$0.719
HR1$0.000%0—1$0.000
HR2$0.000%0—208$0.000

2026-09-05 (the day) — the three measures

accountbookedbROASwithin-daywROAScohort@24hcROASpayers (d0)payer% (d0)ARPU (d0)ARPPU (d0)
Portfolio$2,685.294.46$546.750.91——————
B1$1,868.053.79$374.270.76——————
Nomad Node$0.00—$0.00———————
KBM1$109.15—$0.00———————
Dicey2$84.210.77$44.990.41——————
HR1$52.86—$0.00———————
HR2$571.02—$127.49———————

Each account, 2026-09-04 against 2026-09-05, one table each.

B1

2026-09-042026-09-05change
spend$349.49$493.20+41.1%
impressions31,86647,253+48.3%
CPM$10.97$10.44−4.8%
registrations (ours)327500+52.9%
cost per registration$1.069$0.986−7.7%
booked$1,534.71 (4.39)$1,868.05 (3.79)+21.7%
Meta booked$1,488.97 (4.26)$1,586.74 (3.22)
within-day$315.93 (0.90)$374.27 (0.76)+18.5%
cohort @ 24h$357.78 (1.02)—not comparable, see Caveats
booked payers152162+10
payer rate (8h)11.3%10.4%−0.9 pts
payer rate (d0)11.9%—
ARPU (8h)$0.8890$0.8911+0.2%
ARPU (d0)$1.0941—
ARPPU (8h)$7.86$8.57+9.1%
ARPPU (d0)$9.17—

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

KBM1

2026-09-042026-09-05change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)11+0.0%
cost per registration$0.000$0.000—
booked$100.55$109.15+8.6%
Meta booked——
within-day$0.00$0.00—
cohort @ 24h$0.00—not comparable, see Caveats
booked payers1114+3
payer rate (8h)0.0%0.0%+0.0 pts
payer rate (d0)0.0%—
ARPU (8h)$0.0000$0.0000—
ARPU (d0)$0.0000—
ARPPU (8h)$0.00$0.00—
ARPPU (d0)$0.00—

Dicey2

2026-09-042026-09-05change
spend$101.16$109.34+8.1%
impressions5,4756,427+17.4%
CPM$18.48$17.01−7.9%
registrations (ours)107152+42.1%
cost per registration$0.945$0.719−23.9%
booked$99.51 (0.98)$84.21 (0.77)−15.4%
Meta booked$838.89 (8.29)$479.85 (4.39)
within-day$66.79 (0.66)$44.99 (0.41)−32.6%
cohort @ 24h$69.98 (0.69)—not comparable, see Caveats
booked payers1816−2
payer rate (8h)11.2%6.6%−4.6 pts
payer rate (d0)11.2%—
ARPU (8h)$0.5652$0.3156−44.2%
ARPU (d0)$0.6540—
ARPPU (8h)$5.04$4.80−4.8%
ARPPU (d0)$5.83—

HR1

2026-09-042026-09-05change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)01new
cost per registration$0.000$0.000—
booked$185.91$52.86−71.6%
Meta booked——
within-day$0.00$0.00—
cohort @ 24h$0.00—not comparable, see Caveats
booked payers85−3
payer rate (8h)0.0%0.0%+0.0 pts
payer rate (d0)0.0%—
ARPU (8h)$0.0000$0.0000—
ARPU (d0)$0.0000—
ARPPU (8h)$0.00$0.00—
ARPPU (d0)$0.00—

HR2

2026-09-042026-09-05change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)441208−52.8%
cost per registration$0.000$0.000—
booked$824.13$571.02−30.7%
Meta booked——
within-day$328.33$127.49−61.2%
cohort @ 24h$376.85—not comparable, see Caveats
booked payers9968−31
payer rate (8h)9.5%3.8%−5.7 pts
payer rate (d0)11.1%—
ARPU (8h)$0.6104$0.5087−16.7%
ARPU (d0)$0.8545—
ARPPU (8h)$6.41$13.23+106.4%
ARPPU (d0)$7.69—

B1 bought 53% more registrations at 7.7% less each, and each was worth the same at 8 h: 500 against 327 at $0.986 against $1.069, ARPU (8h) $0.8890 to $0.8911 on 37 and 52 payers, its payer rate 11.3% to 10.4% and its ARPPU $7.86 to $8.57.

B1's within-day return fell 0.90 to 0.76 while its 8 h cohort held, $290.69 to $442.38 on the two creatives that carry its spend, 0.83 and 0.90; 62.6% of its 09-05 registrations arrived after 12:00 UTC against 52.0% the day before, and within-day gives a late install fewer hours to pay.

HR2 registered 208 people against 441 and 8 of them paid inside 8 h against about 42, so its per-user rows are not readable at this sample size; its within-day revenue, $127.49 against $328.33, is a sum and stands.

Dicey2 bought 42.1% more registrations at 23.9% less each on a CPM 7.9% lower, and its 8 h return on 10 payers is not readable at this sample size.

KBM1 and HR1 booked $109.15 and $52.86 with no delivery and one registration each, from cohorts bought before Meta stopped them, so neither has a per-user row.

Hourly, 2026-09-05

(i) The portfolio, hour by hour, 2026-09-05. 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$15.15969$15.6318$0.842$168.9411.15$2.990.20——16
01$19.181,364$14.0629$0.661$72.993.81$6.080.32——9
02$22.322,173$10.2728$0.797$103.194.62$9.890.44——17
03$23.942,637$9.0842$0.570$150.386.28$64.852.71——15
04$26.792,514$10.6639$0.687$177.986.64$47.591.78——19
05$24.571,833$13.4034$0.723$104.324.25$13.100.53——14
06$22.431,863$12.0435$0.641$118.785.30$36.321.62——20
07$21.321,608$13.2632$0.666$125.795.90$3.560.17——13
08$20.731,738$11.9321$0.987$95.154.59$35.771.73——16
09$26.182,269$11.5436$0.727$143.175.47$2.990.11——19
10$30.603,019$10.1428$1.093$65.042.13$6.540.21——11
11$32.802,953$11.1140$0.820$92.592.82$17.230.53——16
12$26.892,648$10.1539$0.689$52.341.95$6.490.24——12
13$36.773,111$11.8252$0.707$80.082.18$30.930.84——14
14$34.343,037$11.3149$0.701$90.492.64$47.041.37——14
15$37.523,541$10.6038$0.987$147.273.93$21.620.58——20
16$32.683,338$9.7933$0.990$96.262.95$0.000.00——17
17$29.673,258$9.1148$0.618$121.204.09$23.670.80——12
18$28.842,737$10.5440$0.721$103.753.60$14.160.49——19
19$22.962,051$11.1930$0.765$100.864.39$23.321.02——22
20$18.601,338$13.9030$0.620$72.363.89$28.801.55——14
21$15.391,318$11.6853$0.290$100.346.52$41.312.68——18
22$15.391,138$13.5227$0.570$115.817.53$25.531.66——11
23$17.481,225$14.2741$0.426$186.2110.65$36.982.12——18

Spend ran $15.15 to $37.52 an hour against $12.58 to $21.94 the day before, and the afternoon peak is back: 13:00 to 16:00 took $141.31, and B1 alone ran $11.79 to $32.10.

CPM fell from $15.63 at 00:00 to $9.08 at 03:00, sat under $12 from 09:00 to 19:00 and ended at $14.27, against a day before that climbed to $20.31.

Registrations ran 18 to 53 an hour, and 208 of the day's 862 are HR2's, against 441 of 876.

The 24 h cohort column is blank on every row, because that horizon has not closed; booked payers run 9 to 22 an hour, every hour under the bar, so the hours carry shape and the ALL row the level.

2026-09-06T23:25:48.580914 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 25 30 35 USD Spend by hour 0 3 6 9 12 15 18 21 hour (UTC) 1000 1500 2000 2500 3000 3500 impressions Impressions and installs by hour impressions installs 10 15 20 25 30 35 40 45 50 installs (Meta Leads) The day's motion — whole account, 2026-09-05 (UTC)
The day's motion: spend by hour, and impressions against installs
2026-09-06T23:25:48.744435 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 0 4 8 12 16 20 hour (UTC) 6 7 8 9 10 CTR % CTR 0 4 8 12 16 20 hour (UTC) 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 20 22 installs / clicks % Click → install 0 4 8 12 16 20 hour (UTC) 1.0 1.5 2.0 2.5 USD Cost per install Delivery by hour — whole account, 2026-09-05 (UTC)
CTR, CPM, click-to-install and CPI by hour, whole account

(ii) The same 24 hours per account, 2026-09-05.

B1 — $493.20 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$12.31779$15.807$1.759$162.5113.20$2.990.24——14
01$13.441,057$12.729$1.493$28.082.09$6.080.45——4
02$18.321,912$9.584$4.580$67.173.67$0.000.00——6
03$20.732,405$8.6224$0.864$115.745.58$7.120.34——11
04$21.772,279$9.5518$1.209$126.855.83$26.821.23——10
05$19.461,576$12.3518$1.081$82.974.26$5.980.31——9
06$18.331,598$11.4717$1.078$95.055.19$32.921.80——15
07$15.581,314$11.8618$0.866$97.356.25$3.560.23——8
08$17.041,469$11.6013$1.311$59.243.48$0.000.00——10
09$21.021,949$10.7917$1.236$93.584.45$2.990.14——11
10$26.742,747$9.7318$1.486$14.380.54$6.540.24——4
11$26.952,672$10.0924$1.123$39.301.46$17.230.64——8
12$21.592,363$9.1428$0.771$13.890.64$2.940.14——4
13$31.602,804$11.2738$0.832$31.881.01$30.930.98——6
14$28.722,681$10.7135$0.821$68.092.37$44.051.53——9
15$32.103,218$9.9830$1.070$98.673.07$21.620.67——12
16$28.363,013$9.4127$1.050$61.332.16$0.000.00——10
17$23.682,869$8.2535$0.677$114.074.82$20.110.85——10
18$23.602,447$9.6428$0.843$73.503.11$10.600.45——13
19$18.901,807$10.4624$0.787$70.073.71$23.321.23——14
20$15.271,144$13.3521$0.727$49.223.22$28.801.89——11
21$11.791,137$10.3718$0.655$60.325.12$27.322.32——12
22$12.77983$12.9914$0.912$81.606.39$25.532.00——9
23$13.131,030$12.7515$0.875$163.2112.43$26.842.04——12

Nomad Node — $0.00 on this day

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

KBM1 — $0.00 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$0.000—0—$3.28—$0.00———1
01$0.000—0—$0.00—$0.00———0
02$0.000—0—$9.89—$0.00———3
03$0.000—0—$2.95—$0.00———1
04$0.000—1$0.000$0.00—$0.00———0
05$0.000—0—$7.12—$0.00———1
06$0.000—0—$16.77—$0.00———3
07$0.000—0—$3.16—$0.00———1
08$0.000—0—$0.00—$0.00———0
09$0.000—0—$3.48—$0.00———1
10$0.000—0—$0.00—$0.00———0
11$0.000—0—$0.00—$0.00———0
12$0.000—0—$2.99—$0.00———1
13$0.000—0—$0.00—$0.00———0
14$0.000—0—$3.56—$0.00———1
15$0.000—0—$12.99—$0.00———1
16$0.000—0—$15.46—$0.00———1
17$0.000—0—$0.00—$0.00———0
18$0.000—0—$6.75—$0.00———2
19$0.000—0—$10.54—$0.00———2
20$0.000—0—$7.04—$0.00———2
21$0.000—0—$0.00—$0.00———0
22$0.000—0—$0.00—$0.00———0
23$0.000—0—$3.16—$0.00———1

Dicey2 — $109.34 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$2.84190$14.954$0.710$0.000.00$0.000.00——0
01$5.74307$18.703$1.913$0.000.00$0.000.00——0
02$4.00261$15.334$1.000$0.000.00$0.000.00——0
03$3.21232$13.843$1.070$12.693.95$0.000.00——1
04$5.02235$21.364$1.255$10.502.09$17.623.51——3
05$5.11257$19.883$1.703$7.121.39$3.560.70——2
06$4.10265$15.474$1.025$0.000.00$0.000.00——0
07$5.74294$19.523$1.913$0.000.00$0.000.00——0
08$3.69269$13.724$0.922$3.560.96$0.000.00——1
09$5.16320$16.128$0.645$0.000.00$0.000.00——0
10$3.86272$14.196$0.643$0.000.00$0.000.00——0
11$5.85281$20.828$0.731$3.560.61$0.000.00——1
12$5.30285$18.608$0.663$3.560.67$3.560.67——1
13$5.17307$16.8410$0.517$2.990.58$0.000.00——1
14$5.62356$15.7911$0.511$2.990.53$2.990.53——1
15$5.42323$16.786$0.903$0.000.00$0.000.00——0
16$4.32325$13.295$0.864$3.200.74$0.000.00——1
17$5.99389$15.4012$0.499$3.560.59$3.560.59——1
18$5.24290$18.0711$0.476$20.343.88$3.560.68——3
19$4.06244$16.646$0.677$0.000.00$0.000.00——0
20$3.33194$17.164$0.833$0.000.00$0.000.00——0
21$3.60181$19.899$0.400$0.000.00$0.000.00——0
22$2.62155$16.905$0.524$0.000.00$0.000.00——0
23$4.35195$22.3111$0.395$10.142.33$10.142.33——2

HR1 — $0.00 on this day

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

HR2 — $0.00 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$0.000—7$0.000$3.16—$0.00———1
01$0.000—17$0.000$44.91—$0.00———5
02$0.000—20$0.000$26.12—$9.89———8
03$0.000—15$0.000$18.99—$57.73———2
04$0.000—16$0.000$40.63—$3.16———6
05$0.000—13$0.000$3.56—$3.56———1
06$0.000—14$0.000$3.40—$3.40———1
07$0.000—11$0.000$10.11—$0.00———3
08$0.000—4$0.000$32.34—$35.77———5
09$0.000—11$0.000$42.44—$0.00———6
10$0.000—4$0.000$50.66—$0.00———7
11$0.000—8$0.000$46.06—$0.00———6
12$0.000—3$0.000$31.90—$0.00———6
13$0.000—4$0.000$45.21—$0.00———7
14$0.000—3$0.000$15.85—$0.00———3
15$0.000—2$0.000$19.50—$0.00———6
16$0.000—1$0.000$12.72—$0.00———4
17$0.000—1$0.000$3.58—$0.00———1
18$0.000—1$0.000$3.16—$0.00———1
19$0.000—0—$16.69—$0.00———5
20$0.000—4$0.000$16.10—$0.00———1
21$0.000—26$0.000$40.02—$13.99———6
22$0.000—8$0.000$34.21—$0.00———2
23$0.000—15$0.000$9.70—$0.00———3

The prior day, 2026-09-04, same two tables

(i) The portfolio, hour by hour, 2026-09-04. 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$12.94858$15.0818$0.719$96.697.47$2.980.23$2.980.239
01$12.581,294$9.7242$0.300$81.296.46$69.695.54$76.006.0413
02$18.301,813$10.0930$0.610$73.634.02$26.951.47$26.951.4712
03$20.662,195$9.4135$0.590$76.143.69$48.032.32$48.032.3218
04$21.812,289$9.5343$0.507$143.886.60$32.281.48$32.281.4818
05$21.941,986$11.0552$0.422$97.544.45$108.084.93$108.084.9316
06$19.731,793$11.0036$0.548$124.406.31$25.881.31$29.441.4917
07$15.101,509$10.0135$0.431$169.8211.25$23.811.58$23.811.5811
08$17.561,717$10.2331$0.566$96.695.51$0.000.00$0.000.0013
09$21.251,856$11.4527$0.787$106.865.03$29.011.37$29.011.3712
10$19.521,704$11.4635$0.558$53.682.75$9.910.51$9.910.5115
11$18.541,664$11.1428$0.662$129.566.99$6.870.37$6.870.3716
12$17.531,524$11.5039$0.449$82.944.73$38.032.17$61.403.5017
13$20.081,578$12.7229$0.692$37.881.89$39.081.95$42.072.108
14$19.771,576$12.5429$0.682$273.7613.85$6.150.31$6.150.3121
15$17.161,520$11.2942$0.409$59.303.46$38.452.24$38.452.2414
16$15.631,269$12.3237$0.422$130.188.33$35.812.29$50.993.2620
17$20.711,521$13.6239$0.531$195.669.45$21.641.04$37.421.8126
18$16.941,520$11.1444$0.385$127.277.51$54.423.21$61.153.6124
19$19.641,472$13.3455$0.357$131.056.67$21.251.08$24.651.2629
20$21.341,333$16.0139$0.547$160.667.53$33.321.56$33.321.5628
21$20.031,256$15.9541$0.489$132.166.60$17.240.86$24.351.2226
22$21.071,069$19.7139$0.540$56.262.67$13.080.62$19.010.9011
23$20.821,025$20.3131$0.672$107.505.16$9.070.44$12.270.5916

(ii) The same 24 hours per account, 2026-09-04.

B1 — $349.49 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$9.13739$12.3510$0.913$83.349.13$2.980.33$2.980.335
01$10.081,088$9.268$1.260$38.413.81$7.150.71$7.150.715
02$14.351,558$9.216$2.392$29.082.03$0.000.00$0.000.005
03$17.581,974$8.9119$0.925$50.202.86$19.981.14$19.981.1411
04$15.612,032$7.6817$0.918$58.823.77$0.000.00$0.000.009
05$17.371,696$10.2417$1.022$25.421.46$52.763.04$52.763.044
06$14.931,549$9.6417$0.878$76.535.13$10.310.69$10.310.698
07$11.811,295$9.1217$0.695$137.6111.65$12.991.10$12.991.108
08$14.701,464$10.0418$0.817$38.162.60$0.000.00$0.000.007
09$15.281,575$9.706$2.547$70.174.59$25.861.69$25.861.695
10$14.641,463$10.0112$1.220$17.191.17$6.920.47$6.920.475
11$14.231,428$9.9610$1.423$84.445.93$0.000.00$0.000.008
12$13.971,320$10.5817$0.822$57.364.11$19.591.40$36.162.5910
13$15.961,361$11.739$1.773$19.711.23$39.082.45$42.072.646
14$16.481,363$12.0912$1.373$120.837.33$2.990.18$2.990.1813
15$15.071,457$10.3419$0.793$39.542.62$18.511.23$18.511.238
16$14.511,225$11.8412$1.209$87.666.04$18.741.29$33.922.3411
17$15.191,158$13.1210$1.519$80.025.27$3.560.23$3.560.2311
18$11.421,156$9.8813$0.878$78.306.86$22.301.95$22.301.9513
19$14.531,159$12.5422$0.660$54.363.74$7.120.49$7.120.4910
20$15.541,064$14.6120$0.777$79.395.11$15.460.99$15.460.9915
21$15.971,062$15.0416$0.998$87.715.49$10.670.67$17.791.1114
22$14.77844$17.5015$0.985$29.922.03$13.080.89$13.080.898
23$16.37836$19.585$3.274$90.535.53$5.880.36$5.880.3611

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—$0.00—$0.00—$0.00—0
02$0.000—0—$0.00—$0.00—$0.00—0
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—$6.58—$0.00—$0.00—1
06$0.000—0—$3.39—$0.00—$0.00—1
07$0.000—0—$0.00—$0.00—$0.00—0
08$0.000—0—$19.66—$0.00—$0.00—1
09$0.000—0—$16.10—$0.00—$0.00—1
10$0.000—0—$13.96—$0.00—$0.00—4
11$0.000—0—$0.00—$0.00—$0.00—0
12$0.000—0—$3.28—$0.00—$0.00—1
13$0.000—0—$0.00—$0.00—$0.00—0
14$0.000—0—$3.35—$0.00—$0.00—1
15$0.000—0—$0.00—$0.00—$0.00—0
16$0.000—0—$3.16—$0.00—$0.00—1
17$0.000—0—$14.04—$0.00—$0.00—1
18$0.000—1$0.000$0.00—$0.00—$0.00—0
19$0.000—0—$3.35—$0.00—$0.00—1
20$0.000—0—$0.00—$0.00—$0.00—0
21$0.000—0—$3.48—$0.00—$0.00—1
22$0.000—0—$0.00—$0.00—$0.00—0
23$0.000—0—$7.04—$0.00—$0.00—2

Dicey2 — $101.16 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$3.81119$32.026$0.635$0.000.00$0.000.00$0.000.000
01$2.50206$12.142$1.250$0.000.00$0.000.00$0.000.000
02$3.95255$15.497$0.564$3.160.80$9.472.40$9.472.401
03$3.08221$13.940—$6.312.05$0.000.00$0.000.002
04$6.20257$24.127$0.886$0.000.00$3.350.54$3.350.540
05$4.57290$15.767$0.653$10.082.21$9.892.16$9.892.163
06$4.80244$19.673$1.600$2.940.61$0.000.00$0.000.001
07$3.29214$15.374$0.822$0.000.00$0.000.00$0.000.000
08$2.86253$11.304$0.715$3.561.24$0.000.00$0.000.001
09$5.97281$21.255$1.194$3.560.60$0.000.00$0.000.001
10$4.88241$20.252$2.440$0.000.00$0.000.00$0.000.000
11$4.31236$18.261$4.310$0.000.00$0.000.00$0.000.000
12$3.56204$17.454$0.890$0.000.00$0.000.00$0.000.000
13$4.12217$18.993$1.373$0.000.00$0.000.00$0.000.000
14$3.29213$15.454$0.823$0.000.00$3.160.96$3.160.960
15$2.0963$33.172$1.045$0.000.00$0.000.00$0.000.000
16$1.1244$25.451$1.120$0.000.00$0.000.00$0.000.000
17$5.52363$15.217$0.789$15.952.89$8.951.62$8.951.622
18$5.52364$15.166$0.920$9.111.65$0.000.00$0.000.003
19$5.11313$16.337$0.730$10.392.03$7.341.44$7.341.443
20$5.80269$21.568$0.725$10.711.85$17.863.08$17.863.082
21$4.06194$20.935$0.812$17.394.28$3.580.88$3.580.884
22$6.30225$28.007$0.900$0.000.00$0.000.00$0.000.000
23$4.45189$23.545$0.890$6.351.43$3.200.72$6.391.442

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—$0.00—$0.00—$0.00—0
04$0.000—0—$45.50—$0.00—$0.00—1
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—$29.22—$0.00—$0.00—2
08$0.000—0—$28.06—$0.00—$0.00—2
09$0.000—0—$0.00—$0.00—$0.00—0
10$0.000—0—$2.99—$0.00—$0.00—1
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—$14.61—$0.00—$0.00—1
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—$28.65—$0.00—$0.00—1
18$0.000—0—$0.00—$0.00—$0.00—0
19$0.000—0—$13.66—$0.00—$0.00—2
20$0.000—0—$23.22—$0.00—$0.00—2
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 — $0.00 on this day

hrspendimpressionsCPMregistrationscost/regbookedbROASwithin-daywROAScohort@24hcROASbooked payers
00$0.000—2$0.000$13.35—$0.00—$0.00—4
01$0.000—32$0.000$42.88—$62.54—$68.85—8
02$0.000—17$0.000$41.39—$17.48—$17.48—6
03$0.000—16$0.000$16.48—$28.05—$28.05—4
04$0.000—19$0.000$39.55—$28.93—$28.93—8
05$0.000—28$0.000$55.46—$45.43—$45.43—8
06$0.000—16$0.000$41.55—$15.57—$19.13—7
07$0.000—14$0.000$2.99—$10.82—$10.82—1
08$0.000—9$0.000$7.25—$0.00—$0.00—2
09$0.000—16$0.000$17.03—$3.16—$3.16—5
10$0.000—21$0.000$19.53—$2.99—$2.99—5
11$0.000—17$0.000$45.12—$6.87—$6.87—8
12$0.000—18$0.000$22.31—$18.44—$25.24—6
13$0.000—17$0.000$3.56—$0.00—$0.00—1
14$0.000—13$0.000$149.58—$0.00—$0.00—7
15$0.000—21$0.000$19.76—$19.94—$19.94—6
16$0.000—24$0.000$39.36—$17.08—$17.08—8
17$0.000—22$0.000$57.00—$9.14—$24.91—11
18$0.000—24$0.000$39.86—$32.12—$38.85—8
19$0.000—26$0.000$49.29—$6.79—$10.19—13
20$0.000—11$0.000$47.34—$0.00—$0.00—9
21$0.000—20$0.000$23.58—$2.99—$2.99—7
22$0.000—17$0.000$26.34—$0.00—$5.93—3
23$0.000—21$0.000$3.58—$0.00—$0.00—1

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, 19, 20, 21, 22, 23. Only the shared hours are compared.

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

metrichours 2026-09-05 ran higherhours it ran lowersign test
CPM9 of 2415 of 24p = 0.307
CTR12 of 2412 of 24p = 1.000
click→install13 of 2411 of 24p = 0.839
CPI10 of 2414 of 24p = 0.541

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

The full hour-by-hour pairing, 2026-09-04 → 2026-09-05

Every shared hour, 2026-09-04 → 2026-09-05. 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
00858 → 96915.08 → 15.637.81% → 7.33%23.9% → 14.1%0.809 → 1.515
011,294 → 1,3649.72 → 14.067.34% → 7.33%10.5% → 11.0%1.258 → 1.744
021,813 → 2,17310.09 → 10.276.45% → 5.94%9.4% → 6.2%1.664 → 2.790
032,195 → 2,6379.41 → 9.086.70% → 6.48%12.9% → 17.0%1.087 → 0.826
042,289 → 2,5149.53 → 10.666.33% → 6.36%13.1% → 13.1%1.148 → 1.276
051,986 → 1,83311.05 → 13.406.29% → 7.91%18.4% → 12.4%0.954 → 1.365
061,793 → 1,86311.00 → 12.046.53% → 6.98%12.0% → 14.6%1.409 → 1.181
071,509 → 1,60810.01 → 13.265.63% → 8.02%23.5% → 14.0%0.755 → 1.184
081,717 → 1,73810.23 → 11.935.82% → 7.25%21.0% → 13.5%0.836 → 1.219
091,856 → 2,26911.45 → 11.544.74% → 6.61%11.4% → 17.3%2.125 → 1.007
101,704 → 3,01911.46 → 10.145.58% → 5.80%16.8% → 12.0%1.220 → 1.457
111,664 → 2,95311.14 → 11.116.67% → 6.74%9.9% → 16.1%1.685 → 1.025
121,524 → 2,64811.50 → 10.157.09% → 6.99%17.6% → 16.2%0.923 → 0.896
131,578 → 3,11112.72 → 11.827.16% → 7.36%8.8% → 21.0%2.008 → 0.766
141,576 → 3,03712.54 → 11.317.04% → 6.75%14.4% → 21.5%1.236 → 0.780
151,520 → 3,54111.29 → 10.606.97% → 6.02%19.8% → 15.5%0.817 → 1.137
161,269 → 3,33812.32 → 9.797.41% → 6.86%12.8% → 12.7%1.302 → 1.127
171,521 → 3,25813.62 → 9.118.48% → 6.08%14.0% → 21.2%1.151 → 0.706
181,520 → 2,73711.14 → 10.547.89% → 7.34%14.2% → 14.9%0.996 → 0.961
191,472 → 2,05113.34 → 11.199.10% → 8.19%20.1% → 16.7%0.727 → 0.820
201,333 → 1,33816.01 → 13.908.18% → 10.39%22.9% → 18.0%0.854 → 0.744
211,256 → 1,31815.95 → 11.689.63% → 10.24%16.5% → 18.5%1.002 → 0.616
221,069 → 1,13819.71 → 13.5212.16% → 10.02%14.6% → 17.5%1.109 → 0.769
231,025 → 1,22520.31 → 14.278.78% → 9.47%10.0% → 20.7%2.313 → 0.728

This pairing is B1 and Dicey2 on both sides, because HR2's hourly exports are not in the config these tables read, so no direction below is disturbed by its missing days.

Nothing separates on the sign test: CPM ran higher in 9 of 24 hours at p = 0.307, CTR split 12 and 12, click-to-install 13 of 24 at p = 0.839 and CPI 10 of 24 at p = 0.541, on a roster that did not change.

The pooled read has CPM $12.07 to $11.22 and CPI $1.118 to $0.991 while the hour count does not move, so the mix moved: the nine hours from 10:00 to 18:00 carried 2,648 to 3,541 impressions against 1,269 to 1,704 the day before, at $9.11 to $11.82 against $11.14 to $13.62.

CTR was flat at the blend, 7.12% to 7.11%, and rose on every one of the four creatives, shirtb 8.57% to 9.30%, madapp 3.42% to 3.94%, creamvloom 10.17% to 12.22% and creamsolara 12.02% to 12.62%; the flat blend is madapp's larger share.

Click-to-install did not separate on this read, 15.17% to 15.93% at p = 0.407, and rose at p = 0.002 on the META-clock read of B1's campaign alone, 14.90% to 18.23%; a verdict that moves across two defensible bases is a thin sample and not a finding.

2026-09-06T23:25:48.928925 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 0 5 10 15 20 hour (UTC) 5 6 7 8 9 10 11 12 CTR % CTR 2026-09-04 2026-09-05 0 5 10 15 20 hour (UTC) 10 12 14 16 18 20 USD per 1,000 impressions CPM 0 5 10 15 20 hour (UTC) 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) 1.0 1.5 2.0 2.5 USD Cost per install Delivery by hour — 2026-09-05 against 2026-09-04, shared hours only (UTC)
The same four ratios with the prior day laid over the day, shared hours only

Country, 2026-09-05

(i) The portfolio by country, 2026-09-05. 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$134.5122.3%22,067$6.10162$0.830$134.531.0049
US$68.4511.4%1,013$67.5634$2.013$93.821.3724
ID$27.814.6%4,464$6.2351$0.545$11.750.4212
GB$26.474.4%656$40.3313$2.036$22.430.8510
MX$24.314.0%1,876$12.9624$1.013$0.000.005
TR$19.313.2%930$20.7713$1.485$14.300.745
PH$14.212.4%3,241$4.3839$0.364$0.000.001
IT$13.732.3%544$25.258$1.716$11.020.803
BR$13.552.2%606$22.3523$0.589$0.000.001
MY$12.742.1%1,229$10.3710$1.274$6.360.507
AR$12.462.1%961$12.9718$0.692$2.990.244
CL$12.072.0%567$21.306$2.012$10.670.881

163 further countries are not listed, $222.92 between them (37.0% 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) $124.36 from Meta 2026-09-04 and $368.84 from Meta 2026-09-05, a measured UTC-day total of $493.20; Dicey2 (UTC-7) $30.02 from Meta 2026-09-04 and $79.32 from Meta 2026-09-05, a measured UTC-day total of $109.34.

Absent from the table above, by name: Nomad Node, KBM1, HR1, HR2. Their spend is in every day-grain table; only their country split is missing.

(ii) The same cut per account, 2026-09-05.

B1

ccspendshareimpressionsCPMregistrations (ours)cost/regwithin-daywROASpayers
IN$109.1722.1%19,435$5.62123$0.888$120.291.1043
US$61.8612.5%953$64.9033$1.875$93.821.5224
ID$23.884.8%3,992$5.9841$0.582$11.750.4911
GB$23.384.7%609$38.4211$2.126$22.430.9610
MX$21.194.3%1,727$12.2720$1.059$0.000.005
TR$13.942.8%773$18.038$1.742$7.150.514
PH$12.462.5%3,022$4.1234$0.366$0.000.001
IT$11.562.3%492$23.477$1.651$11.020.953
MY$10.862.2%1,151$9.439$1.206$6.360.597
CL$9.551.9%491$19.444$2.388$0.000.000
AR$8.851.8%767$11.556$1.475$0.000.002
CA$8.501.7%247$34.444$2.125$0.000.001

159 further countries are not listed, $178.00 between them (36.1% of this block).

Dicey2

ccspendshareimpressionsCPMregistrations (ours)cost/regwithin-daywROASpayers
IN$25.3423.2%2,633$9.6339$0.650$14.240.566
BR$13.5512.4%606$22.3522$0.616$0.000.001
US$6.596.0%60$109.821$6.585$0.000.000
TR$5.374.9%157$34.305$1.074$7.151.331
ID$3.933.6%472$8.3410$0.393$0.000.001
AR$3.613.3%194$18.5712$0.301$2.990.832
MX$3.122.9%150$20.884$0.781$0.000.000
GB$3.082.8%48$64.702$1.542$0.000.000
TH$2.592.4%187$13.815$0.517$0.000.000
CL$2.522.3%75$33.392$1.259$10.674.241
IT$2.172.0%51$42.311$2.168$0.000.000
ES$2.021.8%56$36.193$0.673$3.561.761

108 further countries are not listed, $35.45 between them (32.4% of this block).

Nomad Node — no country block: it delivered nothing on this day, a measured zero.

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

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

HR2 — no country block: its country export never arrived.

This section is B1 and Dicey2 on both sides and every ratio in it is a return, covering $419.26 of the day's $546.75 of within-day revenue; HR2's $127.49 sits outside it, its country export never having arrived.

B1's own India cell went 1.25 to 1.10 with 43 booked payers behind it on both days, $84.73 to $109.17 of spend with a registration there $0.963 to $0.888; it is the one country cell on the page above the bar on both sides.

The United States is 11.4% of the buy at 1.37 on 24 booked payers, $68.45 against $44.93 the day before, at a CPM of $67.56 against the portfolio's $11.22; B1's own US cell reads 1.52 on the same 24.

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.

2026-09-06T23:25:49.062818 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ IN US ID GB MX TR PH IT BR MY AR CL 0 20 40 60 80 100 120 140 USD delivery raked onto the report clock against two measured margins; revenue is the report day Spend against within-day revenue by country — 2026-09-05 spend within-day revenue
Spend against within-day revenue, by country
2026-09-06T23:25:49.103016 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 — 2026-09-05 (report clock)
Cost per install by country

Aggregate, both days

2026-09-042026-09-05change
spend$450.65$602.54+33.7%
impressions37,34153,680+43.8%
CPM$12.07$11.22−7.0%
registrations (ours)876862−1.6%
cost per registration$0.514$0.699+35.9%
booked$2,744.80 (6.09)$2,685.29 (4.46)−2.2%
Meta booked$2,327.86 (5.17)$2,066.59 (3.43)
within-day$711.05 (1.58)$546.75 (0.91)−23.1%
cohort @ 24h$804.62 (1.79)—not comparable, see Caveats
booked payers288265−23
payer rate (8h)10.4%8.1%−2.3 pts
payer rate (d0)11.4%—
ARPU (8h)$0.7082$0.6953−1.8%
ARPU (d0)$0.9185—
ARPPU (8h)$6.82$8.56+25.6%
ARPPU (d0)$8.05—

(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 24 hours both days delivered in, on the UTC clock. Meta's instrument on both sides of every ratio.

spendimpressionsCPMclicksCTRinstallsclick→installCPI
2026-09-04$450.6537,34112.072,6577.12%40315.17%$1.118
2026-09-05$602.5453,68011.223,8177.11%60815.93%$0.991
  • click → install 15.17% → 15.93% (+5.0%, p = 0.407) — did not separate.
  • CTR 7.12% → 7.11% (-0.1%, p = 0.978) — 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 $450.65 and $602.54 and the day tables read the same, because HR2 is unmeasured on both days; on the 09-03 pair the two disagreed by HR2's measured day.

The 8 h cohort is the one horizon closed on both days: $620.36 at 1.38 against $599.34 at 0.99, and held to the four creatives that carry the measured spend, $351.16 at 0.78 against $490.36 at 0.81.

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

installedbooked on 2026-09-05share
2026-09-05$546.7520.4%
2026-09-04$176.106.6%
2026-09-03$89.073.3%
2026-09-02$91.733.4%
2026-09-01$141.825.3%
2026-08-31$212.037.9%

Six install days carry $1,257.50 of the day's money; the remaining $1,427.79 arrived from installs on or before 08-30, which the instrument does not list separately.

$2,138.54 of the day's money came from installs bought before it, 79.6%, against 74.1% on 09-04.

2026-09-06T23:25:49.160130 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ booked within-day cohort @ 24h 0 500 1000 1500 2000 2500 USD 6.09 1.58 1.79 4.45 0.91 1.21 the number above each bar is that measure's ROAS against the same day's spend The three revenue measures, 2026-09-04 against 2026-09-05 (UTC) 2026-09-04 2026-09-05
The three revenue measures on both days, ROAS above each bar
2026-09-06T23:25:49.211101 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 2026-09-04 2026-09-05 0 500 1000 1500 2000 2500 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, 2026-09-05.

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
bailingxia_srfhjyd_sn_ww_cvr_260820B1$454.0382.0%44,409$10.22500$0.908$374.270.82162
amclqzqgtmnn_5l4ya1pifdk3_sn_ww_cvr_260826Dicey2$99.5918.0%6,009$16.57152$0.655$44.990.4516
dxu2a6iwzx5r_5l4ya1pifdk3_sn_ww_cvr_260826HR2$0.000.0%0—208$0.000$127.49—68
bailingxia_srfhjyd_sn_us_cvr_260820KBM1$0.000.0%0—1$0.000$0.00—0
bailingxia_srfhjyd_sn_ww_cvr_260820HR1$0.000.0%0—1$0.000$0.00—5

(ii) The same, per account, 2026-09-05.

B1

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
bailingxia_srfhjyd_sn_ww_cvr_260820B1$454.03100.0%44,409$10.22500$0.908$374.270.82162

Nomad Node

nothing delivered or registered.

KBM1

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
bailingxia_srfhjyd_sn_us_cvr_260820KBM1$0.000.0%0—1$0.000$0.00—0

Dicey2

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
amclqzqgtmnn_5l4ya1pifdk3_sn_ww_cvr_260826Dicey2$99.59100.0%6,009$16.57152$0.655$44.990.4516

HR1

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
bailingxia_srfhjyd_sn_ww_cvr_260820HR1$0.000.0%0—1$0.000$0.00—5

HR2

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
dxu2a6iwzx5r_5l4ya1pifdk3_sn_ww_cvr_260826HR2$0.000.0%0—208$0.000$127.49—68

B1's campaign CPM fell on its own day and Dicey2's fell further, $11.41 to $10.22 and $18.17 to $16.57, on $454.03 and $99.59 of account-day spend.

HR2's campaign reads $0.00 with 208 registrations against it, because this section is cut on each account's own day from the day export and HR2's was not pulled; the 82.0% and 18.0% shares are B1 against Dicey2 alone.

HR1's row carries a campaign with the same name as B1's, and KBM1's one registration came through bailingxia_srfhjyd_sn_us_cvr_260820; the split is keyed on campaign id, which is what keeps HR1's five payers out of B1's row. KBM1's 14 booked payers are in the account table and not here, because this section seeds its rows from each account's delivery export and from the day's registrations, and the KBM1 campaign its payers installed on had neither.

Activity history, B1, requested over Sep 3 to Sep 7 and rendered as Sep 3 2026 to Sep 6 2026, asserted before any row of it was read. It holds no activity in the rendered range: the $400 daily budget set on 2026-08-27 has not moved and no ad changed state, so both days sit inside the same regime, R3-400, on the same two creatives. The account-day spend of $454.03 sits 13.5% over that budget with no budget change in the history, which is inside the room Meta's daily pacing takes.

The estimator cannot quote H=24 on this run: its window is the account days 09-04 and 09-05, and coverage there is 55% on shirtb and 33% on madapp against the 80% bar. At H=6, the longest horizon over 80% on both, it reads 0.84 and 0.73 on 94% and 90% coverage.

Meta's optimiser moved the buy inside the regime without anyone touching it: madapp was stopped from 15:00 to 18:00 PT on 09-04 and resumed, and from then to the end of the window took $245.40 on 254 installs at a CPM of $7.93 against shirtb's $320.70 on 353 at $13.20; on the account's country prices madapp's audience is worth $1.294 an install against shirtb's $1.068.

Held to B1's own campaign on the META clock at H=6, click-to-install rose and the payer rate did not separate: pooled 14.90% to 18.23% at p = 0.002, madapp 15.00% to 22.27% at p = 0.002 and shirtb 14.87% to 16.02% at p = 0.346, against install-to-pay 10.66% to 9.79% at p = 0.685 on 34 and 51 payers, with 09-05 at 83% coverage.

Revenue cannot carry a verdict on this account: 840 installs and 91 payers with a coefficient of variation of 4.26, and the largest regime-matched arm, 267 installs, is 4% of what a 20% resolution needs.

Every asset

(i) Every asset the portfolio ran, 2026-09-05. One row per ad, the account named on it.

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_shirtb_11s_9x16_sn_v1B1$245.1218,562$13.21303$0.809$245.001.00—43
vid_ww_madapp_7s_9x16_sn_v1B1$208.9125,847$8.08186$1.123$126.090.60—25
vid_ww_creamvloom_7s_9x16_sn_v1Dicey2$69.734,554$15.31131$0.532$31.290.45—9
vid_ww_creamsolara_7s_9x16_sn_v1Dicey2$29.861,455$20.5221$1.422$13.700.46—5
vid_ww_editortabs_13s_9x16_sn_v1HR2$0.000—165$0.000$123.92——48
vid_ww_gym_12s_9x16_sn_v1 - CopyHR2$0.000—35$0.000$3.58——12
vid_ww_jetcone_7s_9x16_sn_v1HR2$0.000—8$0.000$0.00——1
vid_ww_shirt_10s_9x16_sn_v1B1$0.000—5$0.000$0.00——19
vid_ww_pooldirect_15s_9x16_sn_v1B1$0.000—2$0.000$3.18——16
vid_ww_poolphoto_15s_9x16_sn_v1B1$0.000—2$0.000$0.00——13
vid_us_pool5_15s_9x16_sn_v1KBM1$0.000—1$0.000$0.00——0
vid_ww_bodysuit_10s_9x16_sn_v1HR1$0.000—1$0.000$0.00——3
vid_ww_lace_10s_9x16_sn_v1B1$0.000—1$0.000$0.00——9
vid_ww_poolphotob_15s_9x16_sn_v1B1$0.000—1$0.000$0.00——5
vid_ww_kimono_10s_9x16_sn_v1B1$0.000—0—$0.00——7
vid_ww_laceb_11s_9x16_sn_v1B1$0.000—0—$0.00——2
vid_ww_motionlabels_7s_9x16_sn_v1Dicey2$0.000—0—$0.00——1
vid_ww_poolslow_15s_9x16_sn_v1B1$0.000—0—$0.00——1
vid_ww_stockings_11s_9x16_sn_v1Dicey2$0.000—0—$0.00——1
vid_ww_templatewall_7s_9x16_sn_v1B1$0.000—0—$0.00——19
vid_ww_templatewallb_7s_9x16_sn_v1B1$0.000—0—$0.00——2
vid_ww_trainpress2_15s_9x16_sn_v1B1$0.000—0—$0.00——1

(ii) The same, per account, 2026-09-05.

B1

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_shirtb_11s_9x16_sn_v1B1$245.1218,562$13.21303$0.809$245.001.00—43
vid_ww_madapp_7s_9x16_sn_v1B1$208.9125,847$8.08186$1.123$126.090.60—25
vid_ww_shirt_10s_9x16_sn_v1B1$0.000—5$0.000$0.00——19
vid_ww_pooldirect_15s_9x16_sn_v1B1$0.000—2$0.000$3.18——16
vid_ww_poolphoto_15s_9x16_sn_v1B1$0.000—2$0.000$0.00——13
vid_ww_lace_10s_9x16_sn_v1B1$0.000—1$0.000$0.00——9
vid_ww_poolphotob_15s_9x16_sn_v1B1$0.000—1$0.000$0.00——5
vid_ww_kimono_10s_9x16_sn_v1B1$0.000—0—$0.00——7
vid_ww_laceb_11s_9x16_sn_v1B1$0.000—0—$0.00——2
vid_ww_poolslow_15s_9x16_sn_v1B1$0.000—0—$0.00——1
vid_ww_templatewall_7s_9x16_sn_v1B1$0.000—0—$0.00——19
vid_ww_templatewallb_7s_9x16_sn_v1B1$0.000—0—$0.00——2
vid_ww_trainpress2_15s_9x16_sn_v1B1$0.000—0—$0.00——1

Nomad Node

nothing delivered or registered.

KBM1

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_us_pool5_15s_9x16_sn_v1KBM1$0.000—1$0.000$0.00——0

Dicey2

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_creamvloom_7s_9x16_sn_v1Dicey2$69.734,554$15.31131$0.532$31.290.45—9
vid_ww_creamsolara_7s_9x16_sn_v1Dicey2$29.861,455$20.5221$1.422$13.700.46—5
vid_ww_motionlabels_7s_9x16_sn_v1Dicey2$0.000—0—$0.00——1
vid_ww_stockings_11s_9x16_sn_v1Dicey2$0.000—0—$0.00——1

HR1

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_bodysuit_10s_9x16_sn_v1HR1$0.000—1$0.000$0.00——3

HR2

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_editortabs_13s_9x16_sn_v1HR2$0.000—165$0.000$123.92——48
vid_ww_gym_12s_9x16_sn_v1 - CopyHR2$0.000—35$0.000$3.58——12
vid_ww_jetcone_7s_9x16_sn_v1HR2$0.000—8$0.000$0.00——1

This section is on each account's own Meta day, as the campaign section above is. B1's rows sum to $454.03 and Dicey2's to $99.59; 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.

shirtb is $245.12 of B1's $454.03 on the account day and $289.08 of its $493.20 on the report clock, on 303 registrations and 43 booked payers; madapp took $208.91 and $204.12 on 186 and 25.

vid_ww_gym_12s_9x16_sn_v1 - Copy is two ad ids under one ledger name, which tables A and B carry separately as HR2/fittingroom and HR2/povpose; its $3.58 of within-day revenue is povpose's.

Ten rows in table B booked money on no measured spend, $1,442.49 between them, 53.7% of Sinai's booked total: six are creatives pulled or accounts stopped before the day, and four are HR2's, whose spend on the day is unmeasured rather than absent.

2026-09-06T23:25:49.268825 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 CTR % CTR by hour — every asset, 2026-09-05 (UTC) B1/shirtb B1/madapp Dicey2/creamvloom Dicey2/creamsolara
CTR by hour, one line per asset
2026-09-06T23:25:49.397530 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 installs / clicks % Click → install by hour — every asset, 2026-09-05 (UTC) B1/shirtb B1/madapp Dicey2/creamvloom Dicey2/creamsolara
Click-to-install by hour, one line per asset
2026-09-06T23:25:49.455807 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 5 6 USD Cost per install by hour — every asset, 2026-09-05 (UTC) B1/shirtb B1/madapp Dicey2/creamvloom Dicey2/creamsolara
Cost per install by hour, one line per asset
2026-09-06T23:25:49.333423 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 USD per 1,000 impressions CPM by hour — every asset, 2026-09-05 (UTC) B1/shirtb B1/madapp Dicey2/creamvloom 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/shirtb$289.0821,69613.322,0189.30%28013.88%$1.032
B1/madapp$204.1225,5577.991,0083.94%18618.45%$1.097
Dicey2/creamvloom$81.145,08815.9562212.22%12219.61%$0.665
Dicey2/creamsolara$28.201,33921.0616912.62%2011.83%$1.410
B1/lace$0.000—0—0——
B1/poolphoto$0.000—0—0——
B1/shirt$0.000—0—0——
B1/pooldirect$0.000—0—0——
KBM1/us_pool5$0.000—0—0——
HR1/bodysuit$0.000—0—0——
HR2/fittingroom$0.000—0—0——
HR2/povpose$0.000—0—0——
HR2/editortabs$0.000—0—0——
B1/poolphotob$0.000—0—0——
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=8h, 100% covered on this day. Report clock UTC.

assetbookedbROAS (Meta)within-daywROAScohort@HcROASpayers (8h)payer% (8h)ARPU (8h)ARPPU (8h)largest payer
B1/shirtb$305.681.06 (2.82)$245.000.85$313.301.083310.9%1.0319.499.0%
B1/madapp$188.280.92 (2.14)$126.090.62$129.080.63189.6%0.6907.1726.9%
Dicey2/creamvloom$48.070.59 (4.15)$31.290.39$34.280.4275.3%0.2624.9034.1%
Dicey2/creamsolara$20.460.73 (1.87)$13.700.49$13.700.49314.3%0.6524.5752.2%
B1/lace$97.56— (—)$0.00—$0.00—00.0%0.000——
B1/poolphoto$111.40— (—)$0.00—$0.00—00.0%0.000——
B1/shirt$279.66— (—)$0.00—$0.00—00.0%0.000——
B1/pooldirect$318.98— (—)$3.18—$3.18—150.0%1.5903.18100.0%
KBM1/us_pool5$0.00— (—)$0.00—$0.00—00.0%0.000——
HR1/bodysuit$38.63— (—)$0.00—$0.00—00.0%0.000——
HR2/fittingroom$16.77— (—)$0.00—$0.00—00.0%0.000——
HR2/povpose$65.26— (—)$3.58—$0.00—00.0%0.000—100.0%
HR2/editortabs$442.70— (—)$123.92—$105.81—84.8%0.64113.2346.6%
B1/poolphotob$65.22— (—)$0.00—$0.00—00.0%0.000——
HR2/jetcone$6.31— (—)$0.00—$0.00—00.0%0.000——

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/shirtb$245.0618.4%10.9%70.7%31.8%
B1/madapp$208.9127.1%13.4%59.6%12.7%
Dicey2/creamvloom$69.7321.3%5.9%72.9%0.0%
Dicey2/creamsolara$29.8624.8%5.9%69.3%0.0%

Two rows clear the 16-payer bar at 8 h and both are B1's, B1/shirtb at 33 payers and 10.9% and B1/madapp at 18 and 9.6%; HR2/editortabs holds 8 against 35 the day before, and every other row in table B is a direction.

B1/shirtb took 58.6% of B1's report-clock spend and returned 1.08 at 8 h against 0.74 the day before at the same horizon, on 33 and 30 payers with 9.0% of its money in one basket; its payer rate went 12.1% to 10.9% and its ARPPU $6.21 to $9.49, so the rise is basket size. This is the one per-asset comparison on the page with both sides at the bar and one horizon.

B1/madapp reads 0.63 at 8 h on 18 payers with 26.9% of its money in one basket, the first day it has cleared the bar; the day before it read 1.10 on 7, which is a direction and never a magnitude.

Installs cost $0.665 to $1.410 across the four assets that spent, on the report clock, Dicey2/creamvloom at the bottom and Dicey2/creamsolara at the top on 20 installs, every one of them lower than the day before; the spread is delivery, and cost per install does not rank an asset here.

⚠ 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.

B1/shirtb bought 10.9% of its spend in the United States and 31.8% of its within-day money came from it, against 3.2% the day before, while B1/madapp went 35.4% to 12.7%; neither Dicey2 asset took a US dollar of revenue.

The three per-user charts below carry d0 in their captions while this page's per-user tables are at 8 h. Their 2026-09-05 point sits on a horizon that has not closed, so read it when the evening page completes the day.

2026-09-06T23:25:49.610351 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ B1/shirtb 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, 2026-09-05 (META day) IN US ID GB MX TR other
Where each asset bought: share of its own spend by region
2026-09-06T23:25:49.668763 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ B1/shirtb 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, 2026-09-05 (META day) IN US ID GB MX TR
Cost per install by region, every asset
2026-09-06T23:25:49.748117 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ B1/shirtb B1/madapp Dicey2/creamvloom 0 10 20 30 40 50 60 70 80 USD Within-day revenue by region — every asset, 2026-09-05 (META day) IN US ID GB TR
Within-day revenue by region, every asset
2026-09-06T23:25:49.874645 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 09-02 09-03 09-04 09-05 day (UTC) 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 cohort payers / installs % Payer rate d0 by day — every asset (UTC) B1/shirtb B1/madapp Dicey2/creamvloom B1/laceb Dicey2/creamsolara B1/poolphotob HR2/fittingroom HR2/povpose HR2/gym HR2/uploadpanel
Payer rate d0 by day, one line per asset
2026-09-06T23:25:49.948564 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 09-02 09-03 09-04 09-05 day (UTC) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 cohort USD per install ARPU d0 by day — every asset (UTC) B1/shirtb B1/madapp Dicey2/creamvloom B1/laceb Dicey2/creamsolara B1/poolphotob HR2/fittingroom HR2/povpose HR2/gym HR2/uploadpanel
ARPU d0 by day, one line per asset
2026-09-06T23:25:50.023345 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 09-02 09-03 09-04 09-05 day (UTC) 0 5 10 15 20 25 cohort USD per payer ARPPU d0 by day — every asset (UTC) B1/shirtb B1/madapp Dicey2/creamvloom B1/laceb Dicey2/creamsolara B1/poolphotob HR2/fittingroom HR2/povpose HR2/gym HR2/uploadpanel
ARPPU d0 by day, one line per asset
2026-09-06T23:25:50.093035 image/svg+xml Matplotlib v3.11.1, https://matplotlib.org/ 09-02 09-03 09-04 09-05 day (UTC) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 revenue / spend Within-day ROAS by day — every asset (UTC) B1/shirtb B1/madapp Dicey2/creamvloom B1/laceb Dicey2/creamsolara B1/poolphotob
Within-day ROAS by day, one line per asset
2026-09-06T23:25:50.172790 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, 2026-09-05 B1/shirtb B1/madapp Dicey2/creamvloom Dicey2/creamsolara
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 2026-09-05, as it bought nothing on 2026-09-04, and $868.01 still arrived from people who installed before the day.

The day, and every account

2026-09-042026-09-05change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)2028+40.0%
cost per registration$0.000$0.000—
booked$1,084.43$868.01−20.0%
Meta booked——
within-day$10.62$0.00−100.0%
cohort @ 24h$10.62—not comparable, see Caveats
booked payers5961+2
payer rate (8h)10.0%0.0%−10.0 pts
payer rate (d0)10.0%—
ARPU (8h)$0.5311$0.0000−100.0%
ARPU (d0)$0.5311—
ARPPU (8h)$5.31$0.00−100.0%
ARPPU (d0)$5.31—

2026-09-05 (the day) — delivery

accountspendshareimpressionsCPMregistrationscost/reg
Portfolio$0.000%0—28$0.000
B1$0.000%0—22$0.000
Nomad Node$0.000%0—6$0.000
KBM1$0.000%0—0—
Dicey2$0.000%0—0—
HR1$0.000%0—0—
HR2$0.000%0—0—

2026-09-05 (the day) — the three measures

accountbookedbROASwithin-daywROAScohort@24hcROASpayers (d0)payer% (d0)ARPU (d0)ARPPU (d0)
Portfolio$868.01—$0.00———————
B1$442.22—$0.00———————
Nomad Node$425.78—$0.00———————
KBM1$0.00—$0.00———————
Dicey2$0.00—$0.00———————
HR1$0.00—$0.00———————
HR2$0.00—$0.00———————

Each account, 2026-09-04 against 2026-09-05, one table each.

B1

2026-09-042026-09-05change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)1622+37.5%
cost per registration$0.000$0.000—
booked$893.61$442.22−50.5%
Meta booked——
within-day$10.62$0.00−100.0%
cohort @ 24h$10.62—not comparable, see Caveats
booked payers5243−9
payer rate (8h)12.5%0.0%−12.5 pts
payer rate (d0)12.5%—
ARPU (8h)$0.6639$0.0000−100.0%
ARPU (d0)$0.6639—
ARPPU (8h)$5.31$0.00−100.0%
ARPPU (d0)$5.31—

Nomad Node

2026-09-042026-09-05change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)46+50.0%
cost per registration$0.000$0.000—
booked$187.83$425.78+126.7%
Meta booked——
within-day$0.00$0.00—
cohort @ 24h$0.00—not comparable, see Caveats
booked payers618+12
payer rate (8h)0.0%0.0%+0.0 pts
payer rate (d0)0.0%—
ARPU (8h)$0.0000$0.0000—
ARPU (d0)$0.0000—
ARPPU (8h)$0.00$0.00—
ARPPU (d0)$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.

Nobody who arrived on 09-05 paid inside 8 h, 28 registrations and no payer against 20 and two the day before, so every per-user row on the day is a measured zero, and the 24 h rows are blank because that horizon has not closed.

Read the booked column for what the base is still paying and nothing else here. Its $868.01 is inherited entirely, $442.22 through B1's old campaigns on 43 payers and $425.78 through the shared pair on 18.

Hourly, 2026-09-05

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, 2026-09-05

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

2026-09-042026-09-05change
spend$0.00$0.00—
impressions00—
CPM$0.00$0.00—
registrations (ours)2028+40.0%
cost per registration$0.000$0.000—
booked$1,084.43$868.01−20.0%
Meta booked——
within-day$10.62$0.00−100.0%
cohort @ 24h$10.62—not comparable, see Caveats
booked payers5961+2
payer rate (8h)10.0%0.0%−10.0 pts
payer rate (d0)10.0%—
ARPU (8h)$0.5311$0.0000−100.0%
ARPU (d0)$0.5311—
ARPPU (8h)$5.31$0.00−100.0%
ARPPU (d0)$5.31—

The 8 h rows are closed on both days and rest on two payers and then none, which is a long way under the bar; the 24 h row is blank on 09-05 because it has not closed.

The campaigns

(i) Every campaign the portfolio ran, 2026-09-05.

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
bailingxia_meituan_ww_cvr_260802B1$0.000.0%0—16$0.000$0.00—35
bailingxia_meituan_ww_cvr_260730B1$0.000.0%0—5$0.000$0.00—5
0814_vl_bailingxia_srfhjyd_maimaiNomad Node$0.000.0%0—3$0.000$0.00—4
0811_vl_bailingxia_srfhjyd-rain-chuvaNomad Node$0.000.0%0—2$0.000$0.00—7
0814_vl_bailingxia_srfhjyd-rain-chuvaNomad Node$0.000.0%0—1$0.000$0.00—6
bailingxia_meituan_t3_cvr_260725B1$0.000.0%0—1$0.000$0.00—2
bailingxia_meituan_t2_cvr_260725B1$0.000.0%0—0—$0.00—1

(ii) The same, per account, 2026-09-05.

B1

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
bailingxia_meituan_ww_cvr_260802B1$0.000.0%0—16$0.000$0.00—35
bailingxia_meituan_ww_cvr_260730B1$0.000.0%0—5$0.000$0.00—5
bailingxia_meituan_t3_cvr_260725B1$0.000.0%0—1$0.000$0.00—2
bailingxia_meituan_t2_cvr_260725B1$0.000.0%0—0—$0.00—1

Nomad Node

campaignaccountspendshareimpressionsCPMregistrationscost/regwithin-daywROASpayers
0814_vl_bailingxia_srfhjyd_maimaiNomad Node$0.000.0%0—3$0.000$0.00—4
0811_vl_bailingxia_srfhjyd-rain-chuvaNomad Node$0.000.0%0—2$0.000$0.00—7
0814_vl_bailingxia_srfhjyd-rain-chuvaNomad Node$0.000.0%0—1$0.000$0.00—6

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, 2026-09-05. One row per ad, the account named on it.

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_pool5_15s_9x16_v1B1$0.000—11$0.000$0.00——21
vid_ww_bodysuit_10s_9x16_v1B1$0.000—6$0.000$0.00——12
vid_ww_bikini_10s_9x16_v1B1$0.000—4$0.000$0.00——4
nomad-0814-03-maimaiNomad Node$0.000—3$0.000$0.00——4
nomad-0811-03-rain-chuva-video-01Nomad Node$0.000—1$0.000$0.00——7
nomad-0811-03-rain-chuva-video-02Nomad Node$0.000—1$0.000$0.00——0
nomad-0814-03-rain-chuva-video-02Nomad Node$0.000—1$0.000$0.00——0
vid_utility_10s_9x16_v1B1$0.000—1$0.000$0.00——0
nomad-0814-03-rain-chuva-video-01Nomad Node$0.000—0—$0.00——6
vid_latina_es_bikini_10s_9x16_v1B1$0.000—0—$0.00——1
vid_sasian_bikini_6s_9x16_v1B1$0.000—0—$0.00——1
vid_sasian_bodysuit_10s_9x16_v1B1$0.000—0—$0.00——1
vid_ww_lounge_8s_9x16_v1B1$0.000—0—$0.00——3

(ii) The same, per account, 2026-09-05.

B1

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
vid_ww_pool5_15s_9x16_v1B1$0.000—11$0.000$0.00——21
vid_ww_bodysuit_10s_9x16_v1B1$0.000—6$0.000$0.00——12
vid_ww_bikini_10s_9x16_v1B1$0.000—4$0.000$0.00——4
vid_utility_10s_9x16_v1B1$0.000—1$0.000$0.00——0
vid_latina_es_bikini_10s_9x16_v1B1$0.000—0—$0.00——1
vid_sasian_bikini_6s_9x16_v1B1$0.000—0—$0.00——1
vid_sasian_bodysuit_10s_9x16_v1B1$0.000—0—$0.00——1
vid_ww_lounge_8s_9x16_v1B1$0.000—0—$0.00——3

Nomad Node

assetaccountspendimpressionsCPMregistrationscost/regwithin-daywROAScohort@24hpayers
nomad-0814-03-maimaiNomad Node$0.000—3$0.000$0.00——4
nomad-0811-03-rain-chuva-video-01Nomad Node$0.000—1$0.000$0.00——7
nomad-0811-03-rain-chuva-video-02Nomad Node$0.000—1$0.000$0.00——0
nomad-0814-03-rain-chuva-video-02Nomad Node$0.000—1$0.000$0.00——0
nomad-0814-03-rain-chuva-video-01Nomad Node$0.000—0—$0.00——6

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, 22 in B1 and 6 in Nomad Node, and none of them paid inside the day.

3Caveats

This is the 8 h publication of 2026-09-05 and the evening run completes it. The 24 h horizon closes at 00:00 UTC on 2026-09-07; until then every cohort @ 24h and (d0) cell in the 09-05 column is blank, and a blank is a number that does not exist yet. Comparing 09-05's 8 h figure against 09-04's 24 h one would report how old the two cohorts are.

HR2 registered 208 people on 2026-09-05 and none of the spend behind them is measured, for the second day. Its hourly, day and country exports have been skipped since an identity checkpoint took the account out of the automated pull on 09-04, so its $0.00 is an absence on both days of this pair, and $127.49 of the day's within-day revenue is its.

HR2's registrations thinned through the middle of the day and the run cannot say why. Its campaign registered 19 people in the nine hours from 12:00 to 20:00 UTC against 176 in the same hours the day before, then 26 at 21:00; whether its delivery paused or its link stopped converting, only its own export can say, and no file for the day exists.

So every portfolio-level per-registration and return figure on this page divides three accounts' revenue or registrations by two accounts' spend, on both days. Cost per registration rises 34.6% at the portfolio line while B1's fell 7.7% and Dicey2's 23.9%; the comparison this page supports is B1 and Dicey2 on both sides, $450.65 to $602.54, which is the pooled funnel, and held to the four creatives on that spend the 8 h cohort return is 0.78 to 0.81.

The money ledger names thirty-eight account-days it cannot measure, and two of them registered people. sinai_ww/HR2 2026-09-04 and 2026-09-05 are the two; the other thirty-six are NN2, KBM1 and HR1 across 08-29 to 09-05, none of which delivered. The ledger's $602.54 for this day matches the page and is short by HR2's unmeasured spend.

The ledger and the page disagree on Vloom's booked revenue by $15.70. The ledger reads $883.71 for the app and $3,569.00 for the day; the page reads $868.01 and $3,553.30, on the same 326 payers, and Sinai's $2,685.29 agrees to the cent. The ledger counts every payment in the feed while the page's booked column is keyed to campaign ids, and this run does not say which Vloom payments sit between the two.

The 09-04 figures moved between that day's 24 h page and this one by the settling the exports do after midnight. Its spend reads $450.65 against the $450.40 published, B1 $349.49 against $349.24 and impressions 37,341 against 37,338. No revenue figure moved.

The pooled funnel and the hour pairing carry no HR2 on either day. Their loader holds B1 and Dicey2 for both days, which are the same two accounts the day tables measure, so for the first time in the series the two readings of spend agree.

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 day export was not pulled on this run.

KBM1's 14 booked payers and $109.15 are in the account table and nowhere in the campaign or per-asset sections. Those sections seed their rows from each account's delivery export and from the day's registrations; KBM1 has no export, and its one registration came through a different campaign from the one its payers installed on.

The country section carries no HR2 block. It is absent by name, so the section's spend and its revenue are both B1's and Dicey2's and its ratios are returns. It reaches $419.26 of the day's $546.75 of within-day revenue.

The payer counts in three tables are not the payer counts in table B. The country, campaign and per-asset sections emitted by the portfolio instrument count people who paid inside the day whatever day they installed; table B counts the day's own install cohort at 8 h. So B1/shirtb reads 43 in one and 33 in the other, and the 16-payer bar is being applied to two different populations.

within-day is sealed and does not move. It is the column to read on this page, and the 8 h cohort is the cross-check on it, closed on both days; within-day gives a late install fewer hours to pay, which is why B1's within-day return fell while its 8 h cohort held.

Click-to-install carries two verdicts on this pair, and neither is picked. The UTC pooled funnel over B1 and Dicey2 reads 15.17% to 15.93% at p = 0.407; the META-clock read of B1's campaign alone reads 14.90% to 18.23% at p = 0.002. Different hours and a different account set sit on each side, and a finding that changes verdict across defensible bases is reported as the spread.

The strike is a property of the line, and the size of what it dismisses varies by account. Meta's purchase count stayed under the app's transaction count on both days, so the count identity proves nothing here either way; but on Dicey2's own row Meta books $479.85 against $84.21 in our records, after $838.89 against $99.51 the day before. The excess is not split per account or per asset, so Dicey2's (Meta) brackets in table B are not that account's revenue.

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 1.30 ratio the UTC pass prints is stamped CROSS-CLOCK, NOT A VALID CHECK by the instrument itself and is not the gate.

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.

Two different kinds of zero sit in the account tables. NN1 exported at every grain and served no impression, which is a measured zero. NN2, KBM1 and HR1 were stopped by Meta on 08-23, 08-24 and 08-24 and HR2 left the pull on 09-04, so their $0.00 is an absence of measurement; all four still book revenue through the payment ledger, which needs no export.

The estimator's H=24 column is not quotable on this run. Its window is the account days 09-04 and 09-05, so coverage sits at 55% on shirtb and 33% on madapp against the 80% bar; the regime table's H=24 cells, 0.87 on 267 installs and 0.99 on 68, are the early cells of a young window and not a comparison. The 0.68 and 1.61 the 09-04 evening page quoted were 83% covered over the window one day earlier.

The three per-user charts in the per-asset block are labelled d0. The tables they sit under are at 8 h, and the 09-05 point on those three figures rests on a horizon that has not closed.

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: 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.

128 ad names in the sweep do not follow the naming convention and can only be matched exactly. No rejected asset is attached in another account, so nothing was pulled across.

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 $99.59 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.

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

4What this hands to the next read

The 24 h cohort for 2026-09-05 closes at 00:00 UTC on 09-07 and the evening run completes this page. The d0 rows are what to read then, and the 8 h figures on this page are the only ones the two days share.

HR2 needs either a restored pull or an explicit exclusion from the portfolio denominator, and now for two days. While it registers 208 people a day against $0.00 of measured spend and books $571.02, every blended figure on the page is two accounts' cost against three accounts' revenue; and its registrations thinned to 19 across nine hours of the day with no file to say why.

B1 bought half again as many registrations at the same per-user value. 500 against 327 at $0.986 against $1.069, ARPU (8h) $0.8911 against $0.8890 on 52 and 37 payers; its 8 h cohort return on its two creatives went 0.83 to 0.90 while its within-day fell 0.90 to 0.76 on later installs.

Both of B1's arms clear the bar at 8 h for the first time, shirtb 1.08 on 33 and madapp 0.63 on 18, and the optimiser moved the buy toward the lower of the two, 27.4% to 41.4% of B1's spend, on an audience the country prices value 21% higher. The estimator does not resolve them: 267 installs is 4% of what a 20% resolution needs.

shirtb is the one per-asset comparison at the bar on both sides at one horizon, 0.74 to 1.08 at 8 h on 30 and 33 payers, the rise all basket size, ARPPU $6.21 to $9.49 against a payer rate 12.1% to 10.9%.

Dicey2 still cannot answer a revenue question. Ten payers at 8 h on $109.34, a CPM down 7.9% to $17.01, 42.1% more registrations at $0.719 each, and a within-day return of 0.41 against 0.66.

Nothing changed in B1's campaign inside either day, and the day's delivery change is Meta's. Both sit in R3-400 on the same two creatives; the extra $143.71 of B1 spend was bought in the hours from 10:00 to 18:00 UTC at CPMs under the day before's.

Vloom's base paid $868.01 with nobody from the day's 28 registrations among the payers, against $1,084.43 and two the day before.

5Reproduce

Staged in _runs/2026-09-06_2026-09-05_daily_auto/ at 08:25 UTC on 09-06, after the 8 h horizon closed at 08:00 UTC; this is the day's 8 h publication and the evening run rewrites it at the 24 h cohort.

# the pull, both ledgers, every config and every instrument, in one command
python -m ad_ops.daily_pipeline --day 2026-09-05

# 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 2026-09-04,2026-09-05
python -m ad_ops.report_charts --config <run>/run_config_sinai_full.json \
    --day 2026-09-05 --prev 2026-09-04 --days 2026-09-02,2026-09-03,2026-09-04,2026-09-05 \
    --app sinai_ww --country-json <run>/country_sinai_ww.json \
    --out ad_ops/figures/2026-09-05_sinai --md <run>/chartblock_sinai_ww.md \
    --relpath figures/2026-09-05_sinai

Payment cut 2026-09-06 08:20 UTC for Sinai and 08:16 UTC for Vloom; the matched-hours funnel on the META clock runs on a 2026-09-06 01:20 PT cut. B1's campaign activity history was requested over Sep 3 to Sep 7 and the range the page actually rendered, Sep 3 2026 to Sep 6 2026, was asserted before any row of it was read. HR2 exported nothing to this run at any grain, which is why it is in every day-grain and hourly table out of the registration and payment ledgers and in none of the others.

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 @ 8h (cROAS)that day's installs, counted within 8 hours of each person's own installrises until every install has lived 8 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 is the morning page: the 24 h horizon is closed on 09-04 and open on 09-05, so the 09-05 column's 24 h rows are blank and the comparison the page supports is at 8 h.

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 wherever it carries a figure, because it is Meta's attribution and never our revenue; nothing is written in its place, and 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.