ROAS is working (peaked at 5.56× this month). Customers are buying. V2 pre-orders are live. The only thing missing is inventory to sell and capital to produce it. Here's exactly what we need and what it returns.
3× ROAS is the conservative floor — April peaked at 5.56× and averaged 2.94× post-optimization even while soft-launching V2. The model self-liquidates at 3× and generates meaningful surplus. Every dollar in returns between $1.37 and $2.38 depending on the day.
Ad optimization pull-back mid-April. ROAS back to 4.0× as of Apr 16. V2 pre-order launch this week will add a new revenue line.
Team is working at minimal or deferred pay — a signal of commitment, not distress. Goal is survival through to V2 launch at 800 units.
| Loan repayments | $1,000 |
| Credit card servicing | $5,000 |
| Team salary (deferred) | $4,000 |
| Software & tools | $1,000 |
| Total monthly burn | $11,000 |
TAVO's consumables — nasal strips and mouth tape — are now moving into physical retail and clinical settings. These channels do two things simultaneously: generate revenue from product sales and act as a low-cost acquisition funnel for the TAVO system, replacing paid ads with shelf presence. A customer who buys a $10 bag of nasal strips at a 7-Eleven is a warm lead for a $450+ TAVO LTV upgrade.
| Tier | Units (per SKU) | Stand included | Retailer cost | Est. return | Retailer margin | Unit price |
|---|---|---|---|---|---|---|
| Starter | 10 each | Not included | $375 | $600 – $750 | 60 – 100% | $10 / bag |
| Growth | 30 each | ✓ Free | $925 | $1,800 – $2,250 | 95 – 143% | $10 / bag |
| Scale | 100 each | ✓ Free | $2,400 | $6,000 – $7,500 | 150 – 213% | $8 / bag |
Return estimates based on $20 retail price per bag (30 pieces). Scale tier unlocks volume pricing at $8/bag with free stand. Margin calculation reflects retailer revenue vs. TAVO wholesale cost.
Customers adding the V1 Lifetime Warranty at checkout are effectively pre-committing to the product. A 16.9% attach rate — up from 2% a year ago — shows growing product confidence and an audience primed for V2 upgrade offers.
| Period | V1 Orders | Warranty orders | Attach rate |
|---|---|---|---|
| Last 30 days | 77 | 13 | 16.9% |
| April 2025 (1yr ago) | 149 | 3 | 2.0% |
| YoY change | −48% volume | +333% | +14.9 pts |
Every top-10 day shows the same pattern: strong ROAS, controlled spend, and $0 returns. The business has clear peak-day capacity — capital and inventory are the only constraints.
| # | Date | Context | Revenue | Orders | AOV | Net profit | ROAS | Ad spend | Returns |
|---|---|---|---|---|---|---|---|---|---|
| #1 | Dec 1, 2025 | Cyber Monday | $9,047 | 31 | $288 | $3,050 | 3.91× | $2,313 | $0 |
| #2 | Oct 3, 2025 | Organic spike | $4,989 | 21 | $235 | $1,830 | 4.91× | $1,016 | $0 |
Both top days share $0 returns. Every loss day in the dataset has returns as the primary driver. V2 eliminates the V1 hardware defects causing those returns — the profit ceiling these days reveal becomes the floor at scale.
BFCM is the single biggest demand event in DTC e-commerce. TAVO's year-over-year performance shows the brand compounding — more sessions, higher conversion, better ROAS, and 4× the revenue, all on the same product.
BFCM 2025 was Dec 1 — the single best profit day on record at $3,050 net. With V2 launching and a 5,876-person email list primed, BFCM 2026 is the clearest near-term revenue catalyst in the business.
| Month | Revenue | COGS | Gross profit | GM% | Ad spend | Fixed opex | EBITDA |
|---|
69% of total opex is variable ad spend — the business scales cost down immediately when revenue contracts (visible in Q1 2026: ad spend dropped from $44K to $15K as revenue fell). Fixed opex averages $8.2K/month — lean founding team and contractor model.
Bars = monthly revenue (left axis). Line = MoM growth rate % (right axis). Positive months green, negative red. Strong acceleration through mid-2025; Q1 2026 decline reflects V1 supply pause, not demand loss.
Mar 2026 AOV dropped to $104 — hardware supply paused, remaining sales are consumables (91% GM). V2 hardware relaunch at $179–$199 restores AOV while improving margin profile vs V1.
Bars = total monthly ad spend (left axis). Line = blended ROAS (right axis). The highlighted band shows Jul–Dec 2025, when spend consistently ran $27K–$40K/month. ROAS did not fall — it averaged 1.9× across that period, nearly identical to performance at $4–5K/month spend in mid-2024. The channel has not hit an efficiency wall.
Revenue grew faster than spend in the strongest quarters. CAC compressed from $248 in May-24 to $98 by Aug-25 as targeting improved and volume scaled.
Meta ROAS is understated here — last-click attribution doesn't capture its assist role. See attribution section below for the corrected picture.
Complete Meta Ads account data across all campaigns, ad sets, and audiences. $282K invested over 24 months reached 7.2M unique people with healthy frequency and a structured full-funnel architecture.
Purchase ROAS held in the 1.70–2.23× band from July 2024 through the peak spend months of Aug–Dec 2025 ($15K–$23K/mo) — a near-identical range to the account's very first full months at $5K–$8K. Spend tripled; efficiency didn't drop.
Once winner ads were identified and scaled (mid-2025), CPA compressed from early-test highs of $350–$438 down to $115–$183 — all profitable against a $249 AOV at 87% gross margin on V2.
| Period | Avg spend/mo | ROAS range | Best CPA |
|---|---|---|---|
| Jul–Sep 2024 Baseline established |
$13.5K | 1.52–2.23× | $174 |
| Aug–Dec 2025 Scale phase — winners locked |
$17.6K | 1.84–2.18× | $115 |
| Jan–Feb 2026 V2 launch — fresh demand |
$5.9K | 2.51–3.69× | $156 |
Same ROAS window at 3× the budget. No efficiency cliff as spend scaled. V2 launch pushed ROAS to a new high — new product reset creative resonance.
⚠️ The 1,681 purchases above are Meta's last-click count only. Triple Whale's blended attribution model shows Meta's true contribution is materially higher — see the attribution section below for the corrected picture.
Under last-click, Meta appears to generate $136K (0.81× ROAS). Under Triple Attribution, Meta's contribution rises to $235K — a 72% lift. Google also rises 33%.
Cutting Meta based on last-click data alone would remove the demand-creation engine that feeds Google's closing efficiency.
Google introduced 1,474 new customers (48%), Meta introduced 729 (24%). Together they account for 72% of all new customer acquisition.
Google touched 47% of all converters, Meta 23%. Together they appear in 70% of all buyer journeys.
Single-touch Google (1,290 conversions) dominates, but Meta → Google and Google → Organic are common multi-step paths — Google closes, Meta and Organic open.
| Subchannel | Spend | Revenue | ROAS | Role |
|---|---|---|---|---|
| PMax | $94K | $208K | 2.21× | Highest volume, broad targeting |
| Search | $33K | $92K | 2.80× | Most efficient — captures intent |
| Shopping | $59K | $105K | 1.79× | Product discovery, mid-funnel |
Google Search (2.80× ROAS) outperforms PMax (2.21×). Search captures high-intent branded queries; PMax operates more broadly.
How each channel converts traffic through the purchase funnel — from session to checkout to order.
All three funnel rates tracked monthly from Shopify. CVR improved 4× from early 2024 lows (0.25%) to a 2025 peak of 1.53% — driven by improved ad targeting and higher-intent traffic mix.
| Scenario | HW GM | HW GP (1st sale) | Consumable GP (N reorders) | Total LTV | LTV:CAC @$131 | LTV:CAC @$98 |
|---|---|---|---|---|---|---|
| V1 baseline (today) | 65% | $153 | — | $153 | 1.17× | 1.56× |
| V2 @ $199 hardware only | 84.9% | $169 | — | $169 | 1.29× | 1.72× |
| V2 @ $189 + 3 consumable reorders | 84.1% | $159 | $96 | $255 | 1.94× | 2.60× |
| V2 @ $189 + 5 consumable reorders | 84.1% | $159 | $160 | $318 | 2.43× | 3.25× |
| V2 @ $199 + 5 consumable reorders | 84.9% | $169 | $160 | $329 | 2.51× | 3.36× |
| V2 + consumable subscription (12/yr) | 84.1% | $159 | $382 | $541 | 4.13× | 5.52× |
AOV = revenue per transaction ($199 HW · $29 consumable). HW GP = first-sale gross profit only (price × GM%). Total LTV = HW GP + cumulative consumable GP from N reorders. Projected 5-yr LTV ~$495 (base case with seasonal retention decay — see Forecast tab). Consumable AOV $35 at 91% GM. 5 reorders ≈ 1 pack every 10 weeks. Bold row: LTV:CAC above 3× at $98 CAC.
10,467 ATC events = warm retargeting audience. ~5,500 email subscribers (no ad spend needed). At 15% email conversion + paid retargeting of ATC list, estimated 1,500–2,000 launch orders at significantly below-average CAC.
2026 YTD ($5,679) already exceeds all of 2025 ($4,310) by 32% in just 3.5 months.
The two biggest drivers — vibration (20%) and connectivity (19%) — are both explicitly improved in V2.
| Reason | Count | % | V2 status | Resolution |
|---|---|---|---|---|
| Doesn't wake up / vibration weak | 14 | 20.3% | Fixed | New vibration motor |
| Connectivity / app / technical | 13 | 18.8% | Fixed | Modern Bluetooth chipset |
| No reason / general dissatisfaction | 9 | 13.0% | Partial | Lower price reduces buyer's remorse |
| Wristband comfort | 6 | 8.7% | Fixed | Redesigned wristband |
| Hardware defect (button, battery) | 6 | 8.7% | Fixed | New factory, modern components |
| Feature / sleep tracking depth | 6 | 8.7% | Roadmap | V2 platform enables richer app data |
| Lifestyle not right fit | 6 | 8.7% | N/A | Expected churn |
| Price / value perception | 5 | 7.2% | Fixed | V2 at $179 removes objection |
| Gifted / recipient doesn't want | 4 | 5.8% | N/A | Gift seasonality |
| TAVO V1 alarm | $289 |
| TAVO V2 | not included |
| TAVO V1 alarm | $289 | $239 |
| TAVO V2 pre-order | $289 | $199 |
| You save | $140 |
| TAVO V2 alarm | included |
| Redesigned app | included |
Launch strategy: the bundle converts existing V1 customers into V2 pre-orders without a return, generating $438 in immediate revenue and a committed V2 sale. The V2 pre-order at $199 captures new buyers at an entry price point 31% below anchor. Both offerings build committed demand before V2 ships.
All three products sell independently of the TAVO hardware. The Better Breathing Bundle's 74% repeat rate is the strongest retention signal — nearly 3 out of 4 customers reorder.
Biggest opportunity: 4,570 people added to cart but didn't initiate checkout. At V2's 84% GM, converting 20% via email + paid retargeting = ~$137K gross profit at well-below-average CAC — warm audience, established intent.
| Segment | Size | V2 role |
|---|---|---|
| All customers (placed order) | 3,281 | Core upgrade list |
| Engaged last 60 days | 3,246 | Active during supply gap |
| V1 — needs wristband | 548 | Pre-built upgrade segment |
| Ordered consumables | 535 | Consumable reorder target |
| Non-buyer newsletter | 1,205 | Price-sensitive warm leads |
| Cancelled subscriptions | 91 | Win-back at launch |
| SMS consent | 960 | Launch day push |
Amber = above-average AOV states. Virginia ($220) and Washington ($207) punch above their order weight — high-value customer profile.
| City | Orders | Revenue | AOV |
|---|---|---|---|
| New York, NY | 77 | $15,574 | $202 |
| Chicago, IL | 51 | $8,250 | $162 |
| Houston, TX | 43 | $8,721 | $203 |
| Dallas, TX | 39 | $7,515 | $193 |
| Los Angeles, CA | 30 | $5,750 | $192 |
| Austin, TX | 26 | $4,681 | $180 |
| Nashville, TN | 16 | $3,443 | $215 |
| Seattle, WA | 14 | $2,962 | $212 |
| Washington DC | 13 | $3,260 | $251 |
| Phoenix, AZ | 11 | $2,577 | $234 |
4% international with zero international ad spend. Untapped market for V2 launch.
866 subscription orders across 491 cities. Two dedicated Google Shopping campaigns drive consumable reorders at 2.6× ROAS — with no Meta spend behind consumables at all. At a $29 AOV, the effective reorder CAC is ~$11. A profitable consumable channel before any optimisation at scale.
| City | Orders | AOV |
|---|---|---|
| Chicago, IL | 16 | $37 |
| Los Angeles, CA | 11 | $31 |
| Dallas, TX | 9 | $25 |
| Wellesley, MA | 8 | $43 |
| San Francisco, CA | 8 | $28 |
| Miami, FL | 8 | $26 |
| Denver, CO | 7 | $30 |
| New York, NY | 6 | $23 |
| Brooklyn, NY | 6 | $26 |
| Pompano Beach, FL | 5 | $45 |
| Austin, TX | 5 | $34 |
| Las Vegas, NV | 5 | $31 |
77% of all purchases come from the 25–44 band — broader than originally assumed.
38% are heavy sleepers — exactly who struggles most with traditional alarms.
65% live with a partner or family — silent alarm use case confirmed at scale.
Core 25–44 confirmed across surveys, Meta ads, and Shopify. All three sources agree.
No single occupation dominates — TAVO's pain point (waking groggy, disturbing a partner) is universal across income levels, industries, and life stages. The breadth confirms a wide-TAM product with no narrow-ICP dependency.
Every top feature request from open-text responses maps directly to V2.
| Customer feedback theme | Frequency | V2 status |
|---|---|---|
| "I want to see my sleep cycles overnight" | 8+ responses | Fixed — V2 app |
| "Alarm only fires at end of window — not detecting light sleep" | 4 responses | Fixed — new Bluetooth chip |
| "Connectivity drops / app crashes" | 5 responses | Fixed — new chipset |
| "Need recurring alarms — tired of resetting nightly" | 3 responses | Fixed — V2 app |
| "Sleep score layout is confusing" | 2 responses | Fixed — redesigned UI |
| "Wristband comfort" | 3 responses | Fixed — redesigned band |
| "Please support Android" | 2 responses | Roadmap |
| Year | Batch 1 units | Batch 2 units | Price ($) | Cons. attach (%) | Sub attach (%) | Ad spend (% rev) | Fixed opex ($K/mo) |
|---|---|---|---|---|---|---|---|
| Year 1 | |||||||
| Year 2 | |||||||
| Year 3 | |||||||
| Year 4 | |||||||
| Year 5 |
Seasonal distribution applied automatically — units/year × monthly weight. COGS tiers: ≤850=$25 · ≤5K=$22 · ≤20K=$20 · >20K=$18 · Cons. attach = % of cumulative base reordering each year · YoY growth baked into unit counts above
Every hardware sale triggers the consumable attach chain. This panel shows the full economics per customer acquired — from first sale through lifetime consumable reorders.
As consumable attach grows, LTV compounds while CAC holds steady. Ratio improves every year.
All costs are monthly. Loan balance: $200K total. Credit card balance: $80K total. Both are being serviced from operating cash flow alongside the raise.
| Cost line | Y1 | Y2 | Y3–5 | Notes |
|---|---|---|---|---|
| Founder | $3,000 | $4,000 | $5,000 | Ramps as revenue supports it |
| Employee 1 | $4,000 | $4,500 | $5,000 | Core ops / marketing |
| Employee 2 | $2,000 | $3,500 | $4,000 | |
| Employee 3 | $2,000 | $3,500 | $4,000 | |
| Employee 4 | — | — | $4,000 | Added Y3 |
| Employee 5 | — | — | $4,000 | Added Y3 |
| Engineering Agency | $2,000 | $2,500 | $2,500 | Firmware, app, backend |
| Customer Support | $400 | $500 | $600 | Scales with order volume |
| Accounting & Tax | $800 | $800 | $800 | Bookkeeping + annual filing |
| Warehousing & 3PL | $2,000 | $3,000 | $6,000 | Scales with unit volume |
| Software & Tools | $2,000 | $2,500 | $2,500 | Klaviyo, Shopify, analytics, etc. |
| Fees (banking, legal, misc) | $2,000 | $2,500 | $2,500 | Bank fees, IP, compliance |
| Loan repayment | $2,000 | $2,000 | $2,000 | $200K total balance |
| Credit card repayment | $4,000 | $4,000 | $4,000 | $80K total balance |
| Total monthly fixed opex | $26,200 | $33,300 | $46,900 | Used in all forecast models |
Loan and credit card repayments are included in fixed opex and baked into all scenario models. Founder compensation is already active at reduced rate — not deferred. All numbers flow directly into the Y1 monthly model, annual summary, and cash waterfall above.
Batch 1 (850 units) ships ~Month 1. Batch 2 (3,400 units) ordered ~Month 3, arrives ~Month 4. Hardware revenue front-loaded; consumable revenue builds through the year as the installed base grows.
| Month | Units sold | HW rev | Cons rev | Total rev | COGS | Gross profit | GM% | Ad spend | Fixed opex | Net | Cash |
|---|
| V2 inventory — 3,000–5,000 units @ $22–25 | $66–110K |
| Engineering completion (firmware, iOS, backend) | $38K |
| 3–6 months operating runway @ $10K/mo | $30–60K |
| Marketing — reactivation + launch ads | $60K |
| Legal, IP, admin | $20K |
| 20% buffer — hardware transitions have surprises | $58K |
| Total — Tranche 1 | $350K |
| V2 inventory — Batch 2 (5,000 units @ $22) | $110K |
| Marketing scale — $15K → $35K/mo paid ads | $240K |
| 2–3 team hires (12 months) | $210K |
| Operations & 3PL scaling | $50K |
| Working capital buffer | $40K |
| Total — Tranche 2 | $650K |
| Milestone | Tranche | Timeline | Capital |
|---|---|---|---|
| Complete V2 firmware, iOS, backend | T1 | Month 1–2 | $38K engineering |
| V2 Batch 1 ships (850 units) | T1 | Month 1–2 | $21K inventory |
| Retarget 10,467 ATC + email 5,500 subscribers | T1 | Day 1 of launch | Low-CAC — warm audience |
| Revenue restores to $30–50K MRR | T1 | Month 2–4 | Funded by gross profit |
| Tranche 2 trigger milestone | T2 | TBD with investors | Agreed at close |
| V2 Batch 2 (5,000 units) ordered | T2 | Post-trigger | $110K inventory |
| Marketing scaled to $25–40K/month | T2 | Post-trigger | $240K over 12 mo |
| 2–3 team hires onboarded | T2 | Post-trigger | $210K payroll |
| $1M ARR run-rate | T2 | Month 8–12 | Funded by revenue |
| Batch 4 (100K units) — self-funded from GP | ✓ | Month 21–45 | No further capital needed |
| Scenario | Method | Pre-money | Post-money | Equity for $1M |
|---|---|---|---|---|
| Conservative | Y1 revenue × 2.5× | $1.6M | $2.6M | 38.2% |
| Y1 gross profit × 4× | $2.0M | $3.0M | 32.8% | |
| Y3 revenue × 3× (discounted) | $3.2M | $4.2M | 23.6% | |
| Average | $4.1M | $5.1M | 19.5% | |
| Base case | Y1 revenue × 2.5× | $2.2M | $3.2M | 30.9% |
| Y1 gross profit × 4× | $2.9M | $3.9M | 25.7% | |
| Y3 revenue × 3× (discounted) | $4.5M | $5.5M | 18.0% | |
| Average | $4.9M | $5.9M | 16.9% | |
| Aggressive | Y1 revenue × 2.5× | $4.1M | $5.1M | 19.6% |
| Y1 gross profit × 4× | $5.6M | $6.6M | 15.2% | |
| Y3 revenue × 3× (discounted) | $9.1M | $10.1M | 9.9% | |
| Average | $7.6M | $8.6M | 11.6% | |
| Cross-scenario average | $5.6M | $6.6M | 15.2% | |
Three standard valuation methods applied: revenue multiple, gross profit multiple, and forward revenue discounted. Comparable seed rounds for DTC hardware: $8–12M pre-money. All figures are pre-money; equity dilution = $1M ÷ (pre-money + $1M).
| Valuation cap | Equity for $1M | Implied post-money | Context |
|---|---|---|---|
| $5M | 16.7% | $6M | Conservative avg pre-money — below base case |
| $7.5M | 11.8% | $8.5M | Mid-point — aligns with prior bridge planning |
| $10M | 9.1% | $11M | Base/aggressive average — strong anchor |
| $12M | 7.7% | $13M | Aggressive scenario — justified if V2 launches well |
| $15M | 6.2% | $16M | Ceiling — only justified if Batch 2 already selling |
A SAFE with a $7.5–10M cap gives investors 9–12% equity for $1M — fair for both sides at this stage. The $15M cap referenced in prior bridge planning would give investors 6.2%, which is aggressive for a pre-launch raise but defensible once V2 is live.
| Y1 inventory | 20K units ($400K) |
| Y1 units sold (~600/mo) | 7,200 |
| Y1 revenue | $1.43M |
| Y1 net profit | +$449K |
| Y5 revenue est. | ~$6–8M |
| Y3 pre-money (6× ARR) | ~$15M |
| $5M raised at Y3 | 24.6% equity |
| vs $5M raised today | 40.0% equity |
| Units unlocked at Y3 | 200K+ @ $18 |
| Y5 revenue est. | ~$20–40M |
| Raise amount | If raised today (pre-launch) | If raised at Y3 (6× ARR) | Dilution saved by waiting |
|---|---|---|---|
| $3M | 28.6% @ $7.5M cap | 16.3% @ $15M pre | 12.3% saved |
| $4M | 34.8% @ $7.5M cap | 20.7% @ $15M pre | 14.1% saved |
| $5M | 40.0% @ $7.5M cap | 24.6% @ $15M pre | 15.4% saved |
While TAVO V2 launches online, two new offline distribution channels have been secured simultaneously. These are not future plans — the clinic is already selling and the 7-Eleven retail pilot package is in active development. Both channels serve the same strategic purpose: building brand awareness at zero ad cost while seeding a low-cost acquisition funnel for the TAVO system.
Three days from the past two weeks show the unit economics at work when ROAS is healthy and returns are zero. All three occurred with lean or zero V2 ad spend.
Bars = revenue by phase · Line = ROAS · Dashed markers = catalyst events
Green = profitable · Red = loss · Amber = V1 hardware returns dragging profitable days negative
~62% drop post-Apr 16 — same or better output at fraction of the cost
| Day | Spend | Purchases | Value | CPA |
|---|---|---|---|---|
| Apr 27 | $77 | 1 | $199 | $77 |
| Apr 28 | $157 | 1 | $199 | $157 |
| Apr 29 | $62 | 3 | $816 | $21 |
| Apr 30 | $0 | 4 | $975 | organic |
| Total | $296 | 9 | $2,189 | ~$33 avg |
$199 product · $59 avg CPA · profitable from day 1 · Apr 29 improving fast
| Day | Spend | Clicks | Notes |
|---|---|---|---|
| Apr 26 | $15 | 13 | Campaign launched |
| Apr 27 | $38 | 15 | |
| Apr 28 | $25 | 8 | |
| Apr 29 | $21 | 6 | |
| Total | $99 | 42 |
Directing existing V1 buyers to pre-order V2. Email blast not yet sent — the major conversion catalyst still ahead.
Warranty = V1 customers paying $93 to lock in a free V2 upgrade — organic pre-V2 demand before the launch was announced
| Date | Phase | Revenue | Orders | AOV | Net profit | ROAS | Ad spend | Returns | Notes |
|---|