01
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.
Public pricing document· v1.0
We bring clients 3-7X ROI
The data on this page helps you analyze your own numbers and calculate whether Loomaru is the right choice for you.
Begin readingThe commitment
Show the work. Always.
Four transparency commitments this page keeps — each easy to audit, easy to call us out on if we ever violate one.
02
Every figure cited.
Each benchmark links to its primary publisher — the ad platforms themselves. No aggregator quotes, no screenshots of screenshots.
03
Nothing leaves this page.
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.
04 · Incentive alignment
How we make money.
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
- Maintenance & infrastructure28%
- Operations & delivery22%
- Development / R&D20%
- Margin30%
- Small-business program · free < $15k/mo7%
01 · Where the lift comes from
Increase applies on your ads revenue share.
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.
D2C revenue mix example
40%
20%
15%
15%
- Paid advertising40%
- Organic search20%
- Email / SMS15%
- Direct / word-of-mouth15%
- Affiliate / referral5%
- Other5%
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
You can see it by day 30.
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
W2
Signal flowing
Layer live, < 1% visible yet
W4.29
Day 30 · visible
Inside your money-back window
W7
Learning phase exits
70–90% of steady state
W12
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
What customers are actually seeing. Not testimonials.
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%
S
d72STR·QN2
+7.1%
S
d66STR·M9X
+6.5%
S
d81STR·B3P
+8.8%
S
d90STR·V2Y
+6.0%
S
d77STR·N8K
+4.1%
S
d68STR·T6W
+9.6%
S
d83STR·A5F
+7.8%
G
d70STR·X9M
+6.3%
G
d62STR·J4B
+8.0%
G
d88STR·E2D
+9.4%
G
d85STR·W3T
+10.2%
G
d90STR·I9E
+6.5%
Sc
d90STR·H4Q
+7.3%
Sc
d90STR·T3X
+10.7%
Sc
d90≥ 8% (top cluster)5–8%< 5% (under)StarterGrowthScale
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.
- Stores with < 60 days of post-install data appear on the wall but are excluded from median / P25 / P75 aggregates.
- Stores that cancelled mid-window are included at their observed lift at time of cancel — we don't drop them from the denominator.
- Distribution percentiles use the empirical distribution with no fitted smoothing.
- Tile codenames, vertical buckets (5), tier dots, and days-observed are the only fields exposed. Revenue, currency, country, and platform mix are never rendered.
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
Calculate Your ROI with Loomaru
Add your monthly revenue and paid advertising share to see the potential revenue increase you can expect.
Gross sales across all channels
$100,000
$5,000>$10M
What % of your revenue is driven by paid ads
30%
10%30% · ICP median60%
How do I calculate this?
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
$4,500 – $7,500 / mo
+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
Your Revenue Our Priority.
We guarantee our solution will cover the cost of the subscription. If not, we refund you, no questions asked.
Volume + multi-store
Agency
Resell Loomaru across client stores. Volume pricing, one contract, one ops contact.
15–25% increase in ROAS
Starter
Agency
- Done-for-you setup & ops
- Server-side signal recovery
- Refund tracking
- Click-ID recovery
- 48-hour setup
- Drift alerts
- Email support · 24h
Agency tooling
- Under your subdomain—
- Per-store invoicing—
- Coordinated onboarding—
- Dedicated account manager—
- Email support · 4h—
11 · Open questions
Everything owners ask about pricing.
What does the 30-day refund actually mean?
You pay your tier's subscription upfront — there is no free trial. Within 30 days of your first paid charge, one message refunds the fee in full, for any reason — including measured lift you didn't love. No call, no forms, no churn-save playbook, no outcome clause. The guarantee is unconditional. You measure the revenue lift in your own admin sales report against your pre-install baseline; that number is yours, not ours. The contractual anchor is Terms §8.5.
How is the +3% to +10% revenue lift derived?
One identity, two inputs. Across the ad platforms we cover, full signal recovery produces a combined lift of +15% to +25% on paid-attributed revenue — a span of each platform's own published uplift figures (see §02 for the per-platform table with citations). Multiplied by the typical paid-advertising share of total revenue in our ICP (20%–40%), the identity produces the page-level band at its corners: 15% × 20% = 3% floor, 25% × 40% = 10% ceiling. The +3% to +10% is the envelope of the ICP — not a single-store range. A specific merchant lands in a narrower band inside it, determined by their own paid-advertising share: the calculator above reproduces that exact math.
If my busiest ad set runs about 10 purchases per week, what can I expect?
Ad platforms start learning which ads to push once they see about 50 sales a week from a given campaign. At 10 sales a week you're well below that, which means every recovered sale still teaches the algorithm something new — so the full +3% to +10% range applies. Concrete example: a $30k/mo store where roughly a third of revenue comes from paid ads sees an extra +$1,350 to +$2,250 a month against a $199/mo Starter fee. The calculator below lets you plug in your own numbers.
Why is the published lift smaller for Scale-tier stores?
Very large stores see a smaller percentage gain. Not because recovery works less — because their campaigns have already seen most of what's possible. Past about 200 sales a week, the platform has a lot of data already; each recovered sale still helps, but the percentage lift is smaller than on a newer campaign. That's why the Scale range is +2% to +7%, not +3% to +10%. The dollar amount is almost always larger at Scale — the percentage is the part that tapers.
Why aren't you showing me your own measurement of my lift?
Because any number we publish is something you'd have to trust. We'd rather you verify it in a tool you already trust. Your own admin sales report is the single source of truth — the revenue before install versus the revenue after. The only way our number could differ from yours is if we fudged something, so we don't publish one.
Why don't you publish a list of client results?
We made that choice knowing it will make Loomaru harder to sell, but we cannot sacrifice client security. Recent security reviews across different platforms showed that publishing which systems are used can make a client vulnerable and opens another door for attacks. Even with our No Stored Data Policy, that can give an attacker a clue where to start digging.
What happens if my revenue grows past my plan's ceiling?
When your monthly revenue hits 90% of the top of your plan's band, the layer automatically falls back to whatever tracking you had before install for the rest of the month. This prevents post-purchase upsells or mid-month subscription charges from silently pushing you into the next plan. At month-end we'll reach out about moving up cleanly — we don't auto-bump.
Can I cancel whenever? What's the cleanup?
Yes — there's no contract. Message us and an assigned developer returns your store to the exact state it was in before install. You don't run a checklist, uninstall a snippet, or chase anyone — the mechanism that was deployed is the mechanism that gets removed, by the same engineer who set it up.
Why only three tiers?
Because the service is the same across all of them. The only things that change with store size are the flat monthly fee and (at the top) the published lift range. More tiers would imply the engineering is different at each level. It isn't. Pricing is explicitly banded — not proportional — so it's predictable and simple to verify.
What's the support response time?
Starter and Growth plans include email support with a 24-hour response time. Scale upgrades this to priority email support with an 8-hour response time, plus video calls on demand.
What's actually different about Scale?
Two service upgrades: priority email support (8-hour response time instead of 24-hour), and video calls on demand. The recovery layer itself is identical to Starter and Growth.
What would it cost to build this in-house instead?
Fully-loaded at 2025–2026 US rates: ~$65k one-time build (senior engineering for 1½–2½ months at loaded contractor rates), plus roughly $5.4k/mo in combined infrastructure and ongoing engineering maintenance. Year-1 total: ~$130,000. Three-year blended annual: ~$86,000. At every tier, Loomaru is roughly an order of magnitude cheaper than the fully-loaded in-house-build alternative — that's the whole pricing logic.
My store does under $15k/mo. What should I do?
Apply to our small-business program — the full recovery layer, free forever, for stores under $15k/mo in revenue. Same deployment, same monitoring, same commitment. We only start charging once your store crosses $15k/mo — and we'll reach out before that happens so you have time to decide.
Is my data safe? What leaves this page?
Nothing. The calculator runs entirely in your browser. We receive only anonymised, bucketed analytics about which revenue ranges visit the page — no specific dollar values.
Which ad platforms does this cover?
Every major ad platform and the analytics tools wired to your store — simultaneously, with no per-integration setup on your side. The +15% to +25% band spans each platform's own published outcome figures (see §02 for the per-platform table with citations). Every platform reports the benefit through a slightly different metric — lower cost per sale, more sales counted, stronger ad payback, better audience match — but these are different lenses on the same effect.
Does the recovery layer only affect paid ads?
Mostly — but not exclusively. The headline lift figures on this page are measured against the paid-advertising slice of your revenue (because that's the slice we can confidently quantify). The recovery layer also collects higher-fidelity signal across every channel, which improves lookalike-audience quality and the confidence level of your downstream analytics on organic, email, direct and affiliate traffic. Those second-order effects are real upside [11], but they're harder to measure to the standard we apply here, so we don't put a number on them — we leave them as bonus.
Do I pay tax on top of the plan price?
Plan prices don't include sales tax or VAT. Any applicable tax is added at checkout based on your billing address.
12 · References
Every number, independently verifiable.
- 1Meta — platform-side performance study (2022)
- 2Google Ads — published recovered-conversions guidance
- 3Workshop Digital — recovered-conversions case study
- 4TikTok for Business — ad payback case study (Accor)
- 5Pinterest — published platform-side benchmarks
- 6Snap — published events documentation
- 7Meta — learning phase (official documentation)
- 8D2C marketing spend benchmarks
- 9Safari Intelligent Tracking Prevention (ITP)
- 10US contractor hourly-rate benchmarks
- 11Higher-fidelity signal — second-order benefits (lookalike audience quality, general analytics)
If a linked source ever goes dead or a publisher updates a figure past what we cite, email vadim@loomaru.com.
+3% to +10% monthly revenue.
In your own sales report.
Book a 15-minute walkthrough. We'll explain how the recovery layer is deployed on your store, walk you through the money-back terms, and leave you the receipts to measure the revenue lift yourself against your pre-install baseline.