Ads cut entirely May 5. This is the cleanest read of the underlying business ever captured — no paid traffic, no CAC, pure organic. The unit economics held up far better than expected.
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 | 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 |
The most important data TAVO has ever produced. No ads. No retargeting. No CAC. 15 consecutive days of pure organic demand — showing exactly what the business is worth when the paid engine is off. Revenue held, new customers kept arriving, and the new all-time profit record fell on day 14.
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.
Best days show the unit economics at work — high-intent buyers, lean spend, $0 returns. ROAS = Revenue ÷ Ad Spend. Returns are tracked separately — they are a product/logistics outcome, not a marketing metric.
Bars = revenue by phase · Line = ROAS (Revenue ÷ Ad Spend — returns excluded) · Dashed markers = catalyst events
Green = profitable · Red = loss · Amber bars = V1 defect returns (non-recurring, shown separately from profit)
~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 | Profit | ROAS | Ad spend | V1 Returns | Notes |
|---|