Formula, not claims.
Every number on this page collapses to one identity: per-platform outcomes span × your paid-advertising share, at the ICP-median 30% paid-advertising share.
Jede Zahl auf dieser Seite wird gezeigt, nicht behauptet. Lesen Sie von oben nach unten, um zu sehen, woher der Umsatzanstieg kommt — oder springen Sie zu der Stufe, die zu Ihrem Shop passt.
Lesen beginnenThe commitment
Four transparency commitments this page keeps — each easy to audit, easy to call us out on if we ever violate one.
Every number on this page collapses to one identity: per-platform outcomes span × your paid-advertising share, at the ICP-median 30% paid-advertising share.
Each benchmark links to its primary publisher — the ad platforms themselves. No aggregator quotes, no screenshots of screenshots.
The calculator runs entirely in your browser. Your revenue, ad spend, and every slider value stay on your device — they never reach our servers, our analytics, or anyone else's.
In short, we explain the business model behind Loomaru: costs, margins, profit, and spend. The unconditional 30-day refund means we make nothing if you cancel.
Where each dollar goes
01 · Where the lift comes from
Our data enrichment layer affects mostly the ads revenue share across every ad platform you run. If you do not run online ads, the benefit is still present, but not enough to justify Loomaru's cost.
The data enrichment layer primarily affects the paid advertising slice. By enriching the data, keeping it from being lost, and sending it properly to the ad platforms, you can expect a 15-25% increase in ROAS.
The specific non-paid split (organic / email / direct / affiliate / other) is an illustrative composite of publicly-reported D2C channel mixes — not a single-source benchmark. The data enrichment layer works identically regardless of how the non-paid revenue is distributed.
A note on the other channels
The data enrichment layer collects higher-fidelity signal from across every channel — which improves lookalike-audience quality and the confidence level of your downstream analytics on organic, email, direct and affiliate traffic too[11]. Those second-order effects are real upside, but they're harder to measure to our quality standard — so we don't put a number on them here. Treat them as bonus, not budget.
03 · When the lift shows up
By day 30 — still inside your money-back window — the lift is already measurably visiblein your own admin sales report. Steady state lands at weeks 5–8 and the curve keeps compounding from there, but you don't need to wait that long to know it's working.
Expected monthly revenue increase · +3% to +10% ICP envelope
Week 1 → week 12
Signal flowing
Layer live, < 1% visible yet
Day 30 · visible
Inside your money-back window
Learning phase exits
70–90% of steady state
Steady state
Full compounding
| Window | Regime | Observed lift on total | What's happening mechanically |
|---|---|---|---|
| Week 1–2 | Signal flowing | 0–1.2% | Recovery layer live. Learning-phase counters update but algorithms haven't retrained yet — no revenue effect visible this early. |
| Week 3–4 · day 30 | First signs visible | 0.5–4.5% | By day 30 — still inside your money-back window — high-volume ad sets begin exiting the learning phase. First measurable bid-strategy changes are observable in your own sales report against the pre-install baseline. |
| Week 5–8 | Ramp | 1.7–8.9% | Remaining ad sets retrain. Lookalike audiences rebuild from higher-fidelity seeds (~2 weeks of accumulated data). 70–90% of steady-state lift observable. |
| Week 9–12+ | Steady state | 3.0–10.0% | Account-level ML fully re-calibrated. Steady-state revenue lift across the full ICP envelope — organic-led floor at +3%, paid-led ceiling at +10%. Your store's exact point within the band depends on your paid-advertising share; the calculator shows it. |
By day 30 — still inside your 30-day money-back window — the lift is visible against your pre-install baseline in your own admin sales report. You don't have to wait for steady state to know it's working: you can decide, with real evidence, while the guarantee still applies. The curve keeps compounding through weeks 5–12, but the call is already yours to make by day 30.
If by week 12 you're not inside the +3% to +10% envelope, message us — the ramp has a published shape, so deviations are diagnosable[7].
07 · Active recovery network
A snapshot of 15 stores currently operating the recovery layer — each tile one anonymised merchant. Updates stream from random tiles at unpredictable intervals — no cycling, no rotation. Observed lift is computed from their own admin sales report, not an ad-platform dashboard. Under-performers stay visible; nothing is filtered.
Median 60-day lift
+7.8%
n = 15 · ≥ 60d window
P25 — P75 range
+6.5% to +9.1%
Middle half of observable network
STR·7K4
+8.2%
STR·QN2
+7.1%
STR·M9X
+6.5%
STR·B3P
+8.8%
STR·V2Y
+6.0%
STR·N8K
+4.1%
STR·T6W
+9.6%
STR·A5F
+7.8%
STR·X9M
+6.3%
STR·J4B
+8.0%
STR·E2D
+9.4%
STR·W3T
+10.2%
STR·I9E
+6.5%
STR·H4Q
+7.3%
STR·T3X
+10.7%
One tile per store. Published envelope is +3% to +10%; the tail is counted, not filtered. Values tick in real time from the rolling observation window.
How the network data is measured
For every customer, we compute a single lift number: the difference between their observed monthly revenue in days 31–60 post-install and their 30-day pre-install baseline, normalised for day-of-week and month-over-month comparability. We do notuse ad-platform attributed revenue — the measurement is the merchant's own admin sales report delta, exactly as described in the measurement protocol.
This view summarizes typical outcomes across comparable stores in our active recovery network. When the network reaches ≥ 50 stores, we will additionally publish outcome breakdowns by vertical and network-churn figures.
08 · Calculator
Add your monthly revenue and paid advertising share to see the potential revenue increase you can expect.
Gross sales across all channels
$100,000
What % of your revenue is driven by paid ads
30%
Take your monthly revenue attributable to paid-ads campaigns (Meta, Google, TikTok, etc.) and divide by your total monthly store revenue. If you don't know, leave the slider at 30% — that's the ICP median (the range is 20–40% across our segment[8]).
Quick proxy: if you spend $X/mo on ads and target a 3× ROAS, your ad-driven revenue is ≈ $3X. Divide that by total store revenue to get your paid-advertising share.
Expected monthly revenue lift
+4.5% to +7.5% of your store revenue — measured in your own admin sales report against your pre-install baseline.
Annualised · $54k – $90k
Your plan — Growth
$100k – $1M / mo
$499 / mo
10 · Plans
We guarantee our solution will cover the cost of the subscription. If not, we refund you, no questions asked.
Volume + multi-store
Resell Loomaru across client stores. Volume pricing, one contract, one ops contact.
15–25% increase in ROAS
Starter
Agency
Agency tooling
11 · Offene Fragen
12 · References
If a linked source ever goes dead or a publisher updates a figure past what we cite, email vadim@loomaru.com.
Buchen Sie ein 15-minütiges Walkthrough. Wir erklären, wie die Recovery-Schicht in Ihrem Shop bereitgestellt wird, gehen die Geld-zurück-Bedingungen mit Ihnen durch und überlassen Ihnen die Belege, damit Sie den Umsatzanstieg selbst gegen Ihre Basislinie vor der Bereitstellung messen.