brume acquisition data to 15 Oct · built 16 Oct 19:15 UTC
Lens 17 Sept → 15 Oct 2026 · 29dvs 18 Sept → 16 Oct 2025 last year
Contribution profitlast 12 months · monthly
$22,969
+2533% vs last year · −$944 · $792 / day AOP + PRP
CAC
Spend
$58,186
+101% · $28,991 LY
New customers
1,144
+167% · 428 LY
CAC
$50.9
-25% · $67.7 LY
FO AOP
$55.9
+11% · $50.5 LY
PRP
$15.0
flat assumption · placeholder, not ruled
Contribution profit· daily
Breakdown nesting order
Month
Week
✓1Day
Category
Territory
Years same weekdays
✓2026
2025
2024
Metrics 5 shown
⌕
–▾Ads
✓Spend
AM purchases
AM CPA
ATRM
–▾Acquisition
✓New customers
✓CAC
✓Contribution profit
CP / customer
✓FO AOP
FO AOV
PRP
▾Orders
Net revenue · new
Gross profit · new
Matrix19 day rows · 17 Sept → 15 Octsorted by Day ↑
| Day▲ | Spend | New customers | CAC | FO AOP | Contribution profit |
|---|---|---|---|---|---|
| Sun 27 Sept | $0 | 50 | $0.0 | $70.6 | $4,279 |
| Mon 28 Sept | $0 | 36 | $0.0 | $60.8 | $2,729 |
| Tue 29 Sept | $11.3k | 212 | $53.3 | $67.7 | $6,235 |
| Wed 30 Sept | $6,414 | 211 | $30.4 | $59.5 | $9,311 |
| Thu 1 Oct | $6,416 | 113 | $56.8 | $38.6 | −$362 |
| Fri 2 Oct | $6,458 | 102 | $63.3 | $51.7 | $343 |
| Sat 3 Oct | $5,861 | 76 | $77.1 | $56.3 | −$440 |
| Sun 4 Oct | $3,376 | 50 | $67.5 | $57.4 | $242 |
| Mon 5 Oct | $1,066 | 25 | $42.6 | $30.8 | $78 |
| Tue 6 Oct | $2,690 | 54 | $49.8 | $47.4 | $679 |
| Wed 7 Oct | $2,068 | 27 | $76.6 | $50.2 | −$306 |
| Thu 8 Oct | $2,341 | 21 | $111.5 | $58.7 | −$794 |
| Fri 9 Oct | $1,929 | 21 | $91.9 | $43.2 | −$708 |
| Sat 10 Oct | $1,717 | 28 | $61.3 | $64.5 | $510 |
| Sun 11 Oct | $1,820 | 26 | $70.0 | $44.4 | −$275 |
| Mon 12 Oct | $1,725 | 20 | $86.2 | $50.9 | −$407 |
| Tue 13 Oct | $928 | 32 | $29.0 | $46.2 | $1,029 |
| Wed 14 Oct | $959 | 27 | $35.5 | $54.6 | $919 |
| Thu 15 Oct | $1,121 | 13 | $86.3 | $64.1 | −$93 |
| Total | $58.2k | 1,144 | $50.9 | $55.9 | $23.0k |
Good days · bad days11 of 29 profitable · best Wed 30 Sept $9,311
Mon
Tue
Wed
Thu
Fri
Sat
Sun
14 Sept
17$0
18$0
19$0
20$0
21 Sept
21$0
22$0
23$0
24$0
25$0
26$0
27$4,279
28 Sept
28$2,729
29$6,235
30$9,311
1−$362
2$343
3−$440
4$242
5 Oct
5$78
6$679
7−$306
8−$794
9−$708
10$510
11−$275
12 Oct
12−$407
13$1,029
14$919
15−$93
avg /
weekday
weekday
$600
$1,986
$2,481
−$250
−$91
$17
$1,061
Spend → profit, by daythis yearlast year
How to use Lens: Country cuts spend by territory, Age & gender by Meta's three age buckets (18-34 · 35-54 · 55+) × gender. Meta reports the two as separate marginals of the same spend — there is no country × age × gender number — so the page shows one at a time: the whole screen follows the lens, Territory is hidden under Age & gender, and the matrix offers Age bucket and Gender there instead. Click a day in the grid, a dot in the scatter or a bar in the timeline — the whole page focuses on it; the chip (or a second click) releases it. Timeline: pick one metric for bars on its own axis, or several for lines indexed 0–100% of each metric’s range in the period (read direction, not level); grain is in its header — Day works for ranges up to 6 months (185 days); past that the chip is muted, Auto picks Week or Month, and a Day choice falls back to Auto. Matrix: rows nest in the order you tick them (e.g. Day › Category › Territory) — click a row to expand it; add metrics and extra years (same weekdays, 364 days back); click a header to sort; Full screen and Hide fields give the table the whole screen. Contribution profit = new-customer gross profit + $15 × new customers − spend. $15 = PRP, a flat placeholder assumption — not yet ruled for brume (packages/acquisition.yml). New customers is a distinct count. By category it means new customers whose first order contains that category (as in Power BI): an order with two categories sits in both rows, so category rows can add up to more than the Total. On the Country lens the Total is always the true count; on Age & gender the orders side is published by category only, so every number there — Total included — is that overlapping sum. Spend is exact on both.