Grow Dashboard — Grow Fragrance

Headline Metrics — 2025

📈 Orders per Day — Monthly

🔄 Net Revenue by Month — Shopify vs Amazon Datahub

Customer data note: Unique customer counts (LTV, frequency, totals) are accurate after Session 35 hash consolidation. New vs returning classification is approximate for pre-2024 cohorts: Shopify Admin shows 9,436 new customers in 2024H1 vs our 11,147 (1.18x). The ~1,711 over-count comes from customers whose first order was before Dec 2022, outside our data coverage. Tiles marked ≈ APPROX depend on new/returning classification.
Accurate: All revenue, order counts, AOV, contribution margin, ad spend, ROAS, unique customer counts, LTV, and frequency metrics.
Remaining gap: need pre-Dec-2022 Shopify customer history to fully resolve new/returning split.

Customer Analytics — Shopify

New Customer Revenue period

—

Returning Customer Revenue period

—

Returning Order Rate period

—

Customer LTV all-time

—

Median Reorder Time all-time

—

Pareto (Top 20%) all-time

—

New vs Returning Revenue period

New Customers

— —

Returning Customers

— —

Total Period Revenue —

— new orders

— returning orders

🛒 AOV by Order Number period

1st Order · 65,934 orders$50.300%

2nd Order · 18,846 orders$58.690%

3rd Order · 8,860 orders$61.670%

4th Order · 5,029 orders$64.330%

5th Order · 3,040 orders$64.670%

6th Order · 1,947 orders$66.030%

7th Order · 1,261 orders$67.820%

8th Order · 843 orders$72.200%

9th Order · 581 orders$73.890%

10th Order · 411 orders$71.220%

11–15th · 885 orders$90.890%

16–20th · 239 orders$140.990%

21+ · 208 orders$361.530%

Total · 108,084 orders$55.63100%

AOV climbs steadily from $50 (1st) → $72 (10th) → $362 (21+). Repeat customers spend 7× more per order by their 21st purchase.

📊 Customer Order Frequency period

1 order

52,240

75.7%

2 orders

9,976

14.4%

3 orders

3,476

5.0%

4-5 orders

2,303

3.3%

6-10 orders

954

1.4%

11+ orders

107

0.2%

107 "superfans" (11+ orders) generate $172K — avg LTV $1,611 each.

🎯 Revenue Concentration (Pareto)

Top 20% of customers generate 54% of revenue. Top 40% generate 74%. Bottom 20% generate just 4.7%.

Retention & Behavioral Analysis — All-Time Metrics

👥 Cohort Retention Heatmap — Shopify Customers Datahub ≈ APPROX

Pre-2024 cohort (9,191 customers backdated from archives) shows 100% return rate and $159 LTV — these are confirmed repeat buyers. 2024-Q1 has the highest post-archive return rate at 35.4% with 4.96 avg orders. Newer cohorts trend lower (expected — less time to reorder).

🔄 New vs Returning Revenue by Month — 2025

Returning customer revenue exceeds new customer revenue in Jul–Sep and Nov. August is the peak returning month ($98K), likely driven by fall launch reorders from established customers.

New Customer Acquisition — Shopify period ≈ APPROX

New Customers

—

New Customer %

—

Cost Per New Customer

—

Meta + Google spend / new customers

New Customer Revenue

—

📈 New Customer Rate + Ad Spend

Amazon note: Amazon orders have no customer identity in our data — we can't split them into new vs returning. This is a platform limitation (Amazon doesn't share buyer emails). The Meta pixel NC/RC question has been escalated to Canopy. Once configured, Meta will report new vs returning at the ad level. Shopify data only. New customer counts may be slightly overstated for pre-2024 date ranges — 2023 is ~90% backfilled; Jan–Dec 21 2022 (≈11% of pre-2024 orders) lacks customer identity.

Repurchase Behavior — from Reorder Analysis

⏱️ Repurchase Timing Distribution NEW

62% of repeat purchases happen within 90 days. The critical marketing window is 15-60 days post-purchase (33% of all reorders). Median reorder time: 67 days.

🏷️ Discount Impact on Retention NEW

With Discount

31.9%

26.4K

No Discount

19.7%

42.6K

+12.2pp lift. Customers acquired with a discount repeat at 31.9% vs 19.7% without. Discount-acquired customers are NOT "junk" — they're significantly stickier. This is a strong signal that introductory offers drive long-term value.

🚪 Gateway Conversion by Format — Which First Purchase Leads to Repeat? NEW

Format (First Order)	First-Order Customers	Became Repeat	Gateway %
6.5 oz Candle	14,067	4,333	30.8%
Vessel	10,026	2,766	27.6%
Car Freshener	20,679	5,405	26.1%
5 oz Spray	52,353	12,747	24.3%
2 oz Pack	8,004	1,891	23.6%
3-Wick Candle	5,884	1,131	19.2%

6.5oz candle-first buyers convert at 30.8% — 6.5pp higher than spray-first (24.3%). The 8oz candle is the weakest gateway at 19.2% (higher price point may attract gift/one-time buyers). Sprays are the volume gateway (52K customers) but candles are the quality gateway.

🟢 Best Gateway Products (200+ buyers)

Fragrance	Format	Custs	Gateway %
Pear Cider	6.5oz Candle	806	50.0%
Autumn Heirloom	Car Fresh	1,319	46.8%
Autumn Heirloom	6.5oz Candle	1,624	46.6%
Ginger Pumpkin	6.5oz Candle	1,165	45.5%
Pear Cider	5oz Spray	2,437	41.0%
Forest Fern	5oz Spray	2,908	39.2%
Autumn Heirloom	5oz Spray	4,409	36.4%

Pear Cider candle converts 1 in 2 first-time buyers into repeat customers. Seasonal candles dominate the top of this list.

🔴 Weakest Gateways (200+ buyers)

Fragrance	Format	Custs	Gateway %
Vanilla Peppermint	5oz Spray	1,828	9.2%
Vanilla Peppermint	Car Fresh	428	9.3%
Palo Santo Pine	8oz Candle	334	10.2%
Pacific Driftwood	Car Fresh	647	11.1%
Pine Forest	5oz Spray	4,817	15.0%
Coastal Tide	Car Fresh	2,149	16.5%
Coastal Tide	8oz Candle	267	17.6%

Vanilla Peppermint spray: 1,828 first-order customers but only 9.2% convert. Pine Forest at 15% with 4,817 customers = high-volume retention dead end. These products are acquisition magnets but retention failures.

Cross-Year Retention ≈ APPROX

17.5%

6,690 of 38,303 2024 customers returned in 2025

Same-Product Reorder

52.9%

Of repeat customers, 53% rebuy the same product

Cross-Format Buyers

51.0%

51% buy same fragrance in a different format (e.g. spray→candle)

🔀 Scent Migration — Where Do Customers Go on Reorder? Datahub

📊 Order Frequency Distribution Datahub

Orders	Customers	% Cust	Revenue	% Rev	Avg/Cust

71.5% of customers order once, but repeat buyers (28.5%) drive 61.6% of revenue. The 285 customers with 11+ orders average $1,180 each.

🎯 First-Order Variety → Repeat Rate NEW

First Order Contents	Customers	Became Repeat	Gateway %	Avg 1st AOV
1 product (single SKU)	22,039	4,333	19.7%	$21.59
2 products	16,077	4,125	25.7%	$33.14
3 products	9,434	2,482	26.3%	$54.94
4-5 products	15,195	4,045	26.6%	$67.51
6+ products	6,311	1,831	29.0%	$104.25

Variety drives loyalty. Customers who try 6+ products on their first order repeat at 29.0% vs 19.7% for single-SKU buyers — a 9.3pp gap. Multi-fragrance tells the same story: 1 fragrance = 19.8%, 3 fragrances = 28.3%. Every additional scent sampled increases the odds of coming back. Bundle-forward acquisition (homepage bundles, "build your own" in paid ads) is the highest-leverage retention tactic.

💡 Reorder Analysis — Key Insight

The format gateway matters more than the fragrance. 6.5oz candles convert first-time buyers into repeat customers at 30.8% — 6.5pp above sprays. Seasonal candles (Pear Cider, Autumn Heirloom, Ginger Pumpkin) are the strongest gateways at 45-50%. Meanwhile, high-volume spray acquisitions (Pine Forest, Vanilla Peppermint) bring in thousands of one-and-done customers. Cross-sell spray buyers into candles — 51% of repeat customers already buy the same fragrance in a different format. The post-purchase flow should target 15-60 days (the peak reorder window) with a candle cross-sell for spray buyers and a replenishment reminder for candle buyers. And variety matters independently: customers who sample 3+ fragrances on their first order repeat at 28%+ regardless of format.

Within-Year Repeat Rate — 2024 ≈ APPROX

18.0%

6,913 of 38,303 customers reordered within 2024

Within-Year Repeat Rate — 2025 ≈ APPROX

23.5%

8,813 of 37,443 customers · +5.5pp YoY

Recommendations — Customer & Retention

Action

🔔 Build a 0–90 Day Post-Purchase Flow

62% of repeat purchases happen within 90 days. The peak reorder window is 15–60 days (33% of all reorders). Recommended cadence: Day 7 (product tips) → Day 14 (satisfaction check + cross-sell) → Day 30 (replenishment reminder) → Day 45 ("try a new scent" with incentive) → Day 60 (urgency + bundle offer) → Day 90 (win-back with stronger discount). This alone could move repeat rate 3–5pp based on industry benchmarks.

Action

📦 Lead Acquisition with Multi-Product Bundles

Customers who buy 6+ products on their first order repeat at 29.0% vs 19.7% for single-SKU buyers — a 9.3pp gap. Multi-fragrance sampling is the strongest predictor of loyalty. Make "build your own bundle" the default offer on homepage and in paid ads. Every customer moved from single-SKU to multi-product first order is dramatically more likely to return.

Action

🕯️ Cross-Sell Sprays → Candles in Retention Flows

6.5oz candle-first buyers repeat at 30.8% vs sprays at 24.3%. And 51% of repeat customers already buy the same fragrance in a different format. The post-purchase email for spray buyers should feature the candle version of their purchased fragrance. Candles are the stickiest format — seasonal candles (Pear Cider 50%, Autumn Heirloom 47%, Ginger Pumpkin 46%) are the strongest gateways in the entire product line.

Watch

⚠️ High-Volume Retention Dead Ends

Vanilla Peppermint spray: 1,828 first-order customers but only 9.2% gateway conversion — worst in the product line. Pine Forest spray: 4,817 first-buyers, 15.0% conversion. These are acquisition magnets pulling in thousands of one-and-done customers. If these are prominent in paid ads, you may be spending significant CAC on customers with very low probability of returning. Consider deprioritizing in acquisition channels or pairing with a bundle offer.

Strategic

🔄 Subscription / Loyalty Program Expansion

Prior analysis found Insiders program members repeat at 94.7% (small sample: 262 customers). With 4,769 customers at 5+ orders and 903 at 10+, there's a meaningful superfan base not being formally recognized. Target 15–20% of revenue from subscription within 12 months. Start with sprays (clearest replenishment cycle) and build a tiered loyalty program to move 3-4x buyers into the 5+ tier.

Product Intelligence — 2025

🔧 Product Format Filters

Bar colors by season: Classic Spring Summer Fall Holiday

💰 Revenue by Fragrance

📊 Units by Fragrance

🏆 Fragrance Scoreboard — Revenue per Day, 2025 NEW

Fragrance	Launch Year	Units	Revenue	$/Day
Woodland Sage	2023	26,555	$337,254	$924
Blondewood	2022	21,701	$270,700	$742
Golden Grove	2024	20,277	$226,504	$621
Lavender Blossom	2018	11,275	$116,676	$320
Cabana ★	2025	8,766	$112,519	$308
Flannel + Leaves ★	2025	7,301	$100,006	$274
Pine Forest	2018	6,854	$96,310	$264
Bamboo	2018	6,762	$85,136	$233
Cucumber Aloe ★	2025	6,966	$84,826	$232
Autumn Heirloom	2024	6,140	$82,839	$227
Vanilla Peppermint	2021	5,664	$82,373	$226
Coconut Pineapple	2024	6,606	$81,367	$223
Ginger Pumpkin	2019	5,788	$77,840	$213
Coastal Tide	2022	6,345	$77,397	$212

★ = 2025 launch. Woodland Sage ($924/day) and Blondewood ($742/day) dominate. Three 2025 launches (Cabana, Flannel + Leaves, Cucumber Aloe) all performing above $230/day — healthy new product contribution.

🔁 Most Reordered Products (Shopify, 100+ buyers min) NEW

Fragrance	Format	Repeat Buyers	Total Buyers	Reorder %
Woodland Sage	5 oz Spray	1,746	13,775	12.7%
Forest Fern	6.5 oz Candle	125	1,061	11.8%
Autumn Heirloom	6.5 oz Candle	239	2,236	10.7%
Pear Cider	6.5 oz Candle	115	1,130	10.2%
Autumn Heirloom	5 oz Spray	602	6,063	9.9%
Palo Santo Pine	6.5 oz Candle	179	1,818	9.8%
Pear Cider	5 oz Spray	322	3,275	9.8%
Golden Grove	5 oz Spray	890	9,263	9.6%
Blondewood	5 oz Spray	1,394	14,881	9.4%
Woodland Sage	6.5 oz Candle	331	3,504	9.4%

Candles show higher reorder rates than sprays for the same fragrance (e.g., Autumn Heirloom candle 10.7% vs spray 9.9%). Woodland Sage 5oz spray leads in absolute repeat buyers (1,746).

⚠️ Least Reordered Products (Shopify, 100+ buyers min) NEW

Fragrance	Format	Repeat Buyers	Total Buyers	Reorder %
Holiday Hearth	8 oz Candle	0	173	0.0%
Ginger Pumpkin	8 oz Candle	6	251	2.4%
Linen	Car Freshener	4	128	3.1%
Green Tea Matcha	Car Freshener	23	731	3.1%
Cabana	6.5 oz Candle	14	397	3.5%
Coastal Tide	8 oz Candle	14	372	3.8%
Snowscape	8 oz Candle	19	474	4.0%
Linen	5 oz Spray	26	642	4.0%
Bamboo	8 oz Candle	10	253	4.0%
Ginger Pumpkin	Car Freshener	33	806	4.1%

8oz candles dominate the bottom. Holiday Hearth: 173 buyers, zero reorders. Ginger Pumpkin 8oz at 2.4% while its 6.5oz candle sits at 10.2% in the top list — same fragrance, very different retention by format. The 8oz price point may attract gift buyers who never return. Car fresheners also cluster low (Linen 3.1%, Green Tea Matcha 3.1%, Ginger Pumpkin 4.1%).

Recommendations — Products & Sales

Prioritize

✅ SKU Health: Invest More

High revenue + high gateway/reorder rates — these earn their shelf space and should receive more marketing investment: Pear Cider (50% gateway candle, 41% spray), Autumn Heirloom (47% candle, 36% spray), Golden Grove (35% candle), Forest Fern (42% candle, 39% spray), Ginger Pumpkin (46% candle). All seasonal candles in the 6.5oz format are consistently top-tier gateways.

Evaluate

🔍 SKU Health: Reposition or Deprioritize

High acquisition volume but low retention — these bring in one-and-done customers: Vanilla Peppermint spray (9.2% gateway, 1,828 first-buyers), Pine Forest spray (15.0% gateway, 4,817 first-buyers), 3-Wick Candles across all fragrances (19.2% gateway — worst format). If these are featured in paid acquisition, the CAC is being spent on customers unlikely to return. Options: deprioritize in ad creative, pair with bundle offers, or reposition as cross-sell rather than acquisition products.

Investigate

🔬 Discovery Set Gateway Underperformance

Prior analysis found the Everyday Favorites Discovery Set at 37% repeat — it underperforms mix-and-match bundles at 50%+. For a product whose purpose is to create repeat customers, this is below expectations. Possible causes: wrong fragrance selection, price point doesn't create commitment, or post-purchase follow-up for set buyers needs work. Worth a dedicated deep-dive. (Backlogged — needs Discovery Set variant data for full analysis.)

Channel Performance & Media Efficiency — 2025 (Historical)

📈 Monthly MER — Spend as % of Net Revenue Datahub

Lower = more efficient. Nov is typically the most efficient month (BFCM).

💰 Monthly Ad Spend by Channel

Monthly Detail — 2025

📅 Monthly Performance Datahub

Month	Net Rev	Meta	Google	Az Ads	Total Spend	Spend %	MER

March 2026 MTD — Adzviser MCP (last pulled Mar 19)

Total Revenue (MTD)

$166,100

Shopify API $123.6K + Amazon $42.5K

Run rate: $271K · Mar '25: $265K (+2.3%)

Total Ad Spend (MTD)

$38,827

Meta 77% · Google 15% · Amazon 8%

Run rate: $63K · Mar '25: $74K (−15%)

MER (MTD)

4.28x

▲ +20% vs Mar '25 (3.57x)

TW validated: 4.52x (within 5%)

GA4 CVR

6.29%

▲ +34% vs Mar '25 (4.71%)

Fewer visitors, better conversion

📡 Channel ROAS — March 2026 MTD (Mar 1–19) ADZVISER LIVE

Channel	Spend	Conv Value	ROAS	Purchases	CPC	CTR
Meta Ads	$29,933	$121,226	4.05x	2,215	$2.99	1.0%
Google Ads	$5,661	$34,645	6.12x	392	$2.36	5.9%
Amazon Ads	$3,233	$18,216	5.63x	553	$0.95	0.9%

🌐 GA4 Web Analytics — March MTD NEW — LIVE

Active Users19,820−60% YoY

Sessions26,862−56% YoY

Purchase Revenue$92,224

Transactions1,689

Engagement Rate46.9%+3.5pp

CVR6.29%+1.6pp

Avg Session Duration2:14+24s

⚠️ Traffic down significantly but conversion quality way up. Less top-of-funnel, more intent-driven visitors.

📡 GA4 Traffic Channels — March MTD NEW — LIVE

Unassigned

$35,237

38%

Paid Search

$19,227

21%

Direct

$14,778

16%

Paid Social

$10,787

12%

Organic Search

$6,365

Organic Social

$3,041

⚠️ "Unassigned" is #1 revenue channel — likely untagged Klaviyo email. Paid Search has highest CVR (13.1%).

📅 March YoY Comparison Datahub

Metric	Mar '26 MTD (Mar 1–19)	Mar '25 (full)	Mar '26 Run Rate	YoY Pace
Total Revenue	$166,100	$264,851	$271,005	+2.3%
Shopify (API)	$123,603	$182,653	$201,668	+10.4%
Amazon	$42,497	$82,198	$69,311	−15.7%
Total Ad Spend	$38,827	$74,182	$63,349	−14.6%
MER	4.28x	3.57x	4.28x	+19.9%
GA4 Sessions	26,862	61,120	43,830	−28.3%
GA4 CVR	6.29%	4.71%	—	+33.5%

Story: With corrected Shopify API revenue, March is pacing +2.3% above Mar '25. MER improved 20% YoY (3.57x→4.28x). Spend down 15%, CVR up 34%. More efficient — significantly less spend, better conversion, growing revenue. Validated within 5% of Triple Whale.

Media Efficiency Insights — from MER Analysis

🚀 Meta as Launch Engine MER

Meta ↔ Revenue Correlation

r = 0.81

Strong — Meta spend is the primary revenue driver

Non-launch baseline$13.7K/wk

Launch windows get ~40% of annual Meta budget

Launch Window Efficiency (2025)

Holiday (Nov) — best21.1%

Summer II (Aug–Sep)24.5%

Spring (Feb)26.1%

Fall (Aug–Sep)27.3%

Non-launch avg26.2%

🔗 Amazon Halo Effect MER

Meta ↔ Amazon Revenue Correlation

r = 0.66

Same-week — Meta spend lifts Amazon revenue

High-Meta weeks: Amazon net$9,236/wk

Low-Meta weeks: Amazon net$7,827/wk

Halo lift+18%

Annualized unattributed Amazon revenue~$73K

Rule: Don't cut Meta when platform ROAS looks marginal. Add ~18% to true blended return. Min Meta floor: $35K/month to maintain ~$38–40K/month Amazon revenue.

⚖️ Break-Even Scenario Modeler Interactive channel_pnl

Drag the sliders to model different scenarios. The P&L updates live. Baseline is all-time actuals from channel P&L data.

Annual Net Revenue $3.85M

$2.0MCurrent: $3.23M$8.0M

COGS as % of Net Revenue 28%

15%Current: 28%40%

MER (Ad Spend as % of Revenue) 27%

15%Current: 32%45%

Fixed Costs (G&A + Office Labor) $947K

$500KCurrent: $947K$1.5M

Scenario P&L

Net Revenue$3.85M

COGS-$1.08M

Platform Fees (~13%)-$501K

Shipping (~15%)-$578K

Warehouse Labor (~8%)-$308K

Contribution Margin$1.38M36%

Ad Spend (MER)-$1.04M

G&A + Office Labor-$947K

Operating Income-$607K

Operating Margin-15.8%

Break-Even Revenue

$4.12M

At these costs, you need $4.12M net revenue to break even.

vs Current

+$141K

Revenue to Break-Even

$890K more

🗺️ Path to Profitability Roadmap 2026 Plan

Milestone targets for the 2026 Plan scenario. Check off as each is achieved.

✓

Q1 2026 Baseline Established

Break-even modeler live. Current state: $3.22M trailing revenue, 28% COGS, 32% MER.

Q2 2026 COGS → 25% Pending

Negotiate raw material pricing, optimize formulations. Currently at 28% — need 3pp reduction. Saves ~$97K/yr at current revenue.

Q2 2026 MER → 30% Pending

Canopy optimizes Meta/Google efficiency. From 32% → 30%. Saves ~$65K/yr. Focus: higher-ROAS campaigns, Meta launch engine.

Q3 2026 Revenue → $3.85M run rate Pending

Spring + Summer launches drive growth. Gap: $630K above current trailing. Requires 19% growth via seasonal launches + returning customer base.

Q3 2026 MER → 27% Pending

Continued ad efficiency gains. From 30% → 27% target. Combined with revenue growth, moves operating income to ~break-even.

Q4 2026 COGS → 22% (stretch goal) Pending

Bulk purchasing at scale, new supplier contracts. Additional $115K/yr savings vs 25%. Moves break-even revenue down to ~$5.3M.

Q4 2026 Break-Even / Profitability Pending

Holiday season at 2026 Plan cost structure. At $3.85M / 25% COGS / 27% MER: operating income ~-$167K. At $4.5M / 22% / 25%: +$200K. Holiday Q4 surge could tip full year positive.

Progress

1/7

🎯 2026 MER Targets & Spend Budget MER Framework

Month	2025 MER	2026 Target	Rev Target	Spend Budget	Posture
Jan	31.2%	25%	$165K	$41K	Harvest
Feb	33.1%	28%	$260K	$73K	Invest
Mar	30.6%	26%	$275K	$72K	Maintain
Apr	33.1%	30%	$330K	$99K	Invest
May	35.9%	30%	$340K	$102K	Invest
Jun	31.7%	26%	$310K	$81K	Hold
Jul	33.8%	25%	$235K	$59K	Harvest
Aug	31.4%	28%	$345K	$97K	Invest
Sep	31.5%	27%	$375K	$101K	Moderate
Oct	37.1%	28%	$330K	$92K	Pre-BFCM
Nov	26.4%	23%	$565K	$130K	BFCM Peak
Dec	32.5%	26%	$320K	$83K	Wind Down
2026 Total	32.0%	27.0%	$3.85M	$1.03M	+14% rev, –5% spend

P&L Structure & Revenue Quality

📋 P&L Anatomy (Mar 2025 – Feb 2026) fact_pnl

Shopify Revenue (Gross)$5.43M

Amazon Revenue (Gross)$2.09M

Wholesale Revenue$196K

COGS — Raw Materials–$1.35M

COGS — Warehouse Labor–$1.07M

COGS — Shipping–$995K

Amazon Fees–$833K

Merchant Fees (Shopify)–$206K

Gross Profit~44%

Media Spend–$1.98M

Office Labor + Benefits–$1.41M

Net Operating Income–$1.12M

🔄 Gross vs Net Revenue — 2025

Channel	Gross Rev	Net Rev	Net/Gross	Fees	Discounts
Shopify	$2.99M	$2.79M	93.4%	$128K	$70K
Amazon	$1.03M	$873K	84.9%	$154K	$1K

MER Analysis Net Factors (P&L-derived)

Shopify net factor×0.92🟡

Amazon net factor (ad spend carved out)×0.563🟡

Net factors are P&L-derived averages. Amazon's factor is lower because it includes referral fees, FBA, returns, and sales tax (but ad spend carved out as separate line for correlation analysis).

📊 Industry MER Benchmarks

Top Tier DTC MER18–22%

Healthy DTC MER22–30%

Growth Stage30–40%

Danger Zone>40%

Grow (2025)29.6%

Home fragrance gross margin norm60–70%

Grow gross margin44%

Grow's MER is at the boundary of healthy/growth-stage. The bigger concern is 44% gross margin vs the 60-70% category norm — that's the COGS 50 Plan lever.

📏 Weekly Execution Rules

Weekly spend ≤ monthly budget ÷ 4.33Even pacing

Weekly MER (rolling 4-wk) ≤ target + 3ppGuardrail

No single campaign > 30% of weekly budgetDiversify

Amazon ad spend ≤ $2,500/week$10K/mo cap

Google ≤ 25% of total media budget~$21K/mo

Klaviyo Attribution (Moderate Scenario ★)

Klaviyo claimed attribution~30% of Shopify

Estimated true incrementality50% of claimed

Owned revenue (Moderate)~15% of Shopify

Three scenarios: Conservative (100% owned), Moderate (50% owned) ★ recommended, Aggressive (35% owned). Full scenario toggle available in the interactive MER dashboard in specs/mer_reference/.

Recommendations — Channels & Spend

Strategic

🎯 Path to 27% MER — Three Levers

Current MER is 29.6% (2025 blended). 2026 target is 27%. Three levers move the needle simultaneously: Lever 1 (Gross Margin): 44% → 50% via COGS 50 Plan = ~$200K impact. Lever 2 (MER): 32% → 27% = ~$170K in reduced spend. Lever 3 (Revenue): $3.31M → $4.2M+ = $56K contribution margin per $100K growth. All three combined at full target = ~$430K operating income. COGS 50 + 25% MER brings break-even to $3.83M — achievable within 2026 plan.

Operational

🚀 Protect Meta Floor — Amazon Halo at Risk Below $35K/mo

Meta spend correlates at r=0.81 with total revenue and r=0.66 with Amazon revenue (halo effect). High-Meta weeks generate +18% more Amazon revenue ($9.2K vs $7.8K/wk). Minimum Meta floor: $35K/month to maintain ~$38-40K/month Amazon revenue. Don't cut Meta when platform ROAS looks marginal — add ~18% to the true blended return.

Investigation

🔬 Klaviyo Holdout Test — Resolve Attribution Uncertainty

The gap between Klaviyo scenarios (Conservative 100% owned vs Aggressive 35% owned) creates a wide band of uncertainty in "true" MER. A 90-day holdout test (free via Klaviyo, requires 400K+ profiles) would definitively answer email incrementality. This is the single highest-value analytics investment available — it resolves whether email is truly driving 30% of Shopify revenue or whether the platform is overclaiming by 40-70% (industry norm).

📎 Deep Dive References

Full interactive MER time-series (105-week, 3 Klaviyo scenarios, scatter plots) and anomaly audit available in dashboards/specs/mer_reference/. The weekly dataset, break-even model, and launch-window analysis were produced by the MER Analysis project (Feb–Mar 2026) and absorbed into this dashboard.

Data Quality: ● Orders, units, revenue (deduped), Klaviyo, customer IDs ● Platform fees, COGS, 2024 Amazon ads ● Shipping cost, inventory, GA4 Grow Datahub Datahub · March 24, 2026