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2025 Full Year vs Prior Year (2024) Data source: DuckDB
πŸ“ˆ Orders per Day β€” Monthly
πŸ”„ Net Revenue by Month β€” Shopify vs Amazon DuckDB
Repeat Purchase Rate
24.3%
16,816 of 69,056 customers
Median Reorder Time
67 days
Avg 97 days Β· 31K reorder events
All-Time LTV
$73.30
$5.06M across 69K customers
Pareto (Top 20%)
54.0%
Top quintile = 54% of all revenue
πŸ›’ AOV by Order Number
1st Order Β· 69,056 orders$46.1863%
2nd Order Β· 16,816 orders$53.5618%
3rd Order Β· 6,840 orders$57.528%
4th+ Order Β· 8,112 orders$71.3511%
AOV increases 54% from 1st to 4th+ order. Repeat customers spend significantly more.
πŸ“Š Customer Order Frequency
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 β€” 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%.
πŸ‘₯ Cohort Retention β€” Shopify Customers DuckDB
CohortCustomers3-Month6-Month9-Month12-MonthLTV/Customer
2024-Q16,77816.4%0.3%β€”β€”$69.83
2024-Q29,4470.1%β€”β€”β€”$50.96
2024-Q311,18036.7%31.1%26.0%19.6%$115.33
2024-Q410,89827.0%22.4%16.6%9.1%$81.65
2025-Q15,99321.1%14.8%6.9%β€”$71.68
2025-Q28,49113.8%6.7%β€”β€”$64.48
2025-Q36,8218.9%β€”β€”β€”$65.37
2025-Q49,448β€”β€”β€”β€”$53.43
2024-Q3 is the strongest cohort: $115 LTV, 36.7% return at 3 months, 19.6% still active at 12 months. 2024-Q1 and Q2 show unusually low retention β€” investigate whether order date coverage is incomplete for those periods.
πŸ”„ New vs Returning Revenue by Month β€” 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.
⏱️ 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" β€” they're significantly stickier. This is a strong signal that introductory offers drive long-term value.
πŸšͺ Gateway Conversion by Format β€” Which First Purchase Leads to Repeat? NEW
Format (First Order)First-Order CustomersBecame RepeatGateway %
6.5 oz Candle14,0674,33330.8%
Vessel10,0262,76627.6%
Car Freshener20,6795,40526.1%
5 oz Spray52,35312,74724.3%
2 oz Pack8,0041,89123.6%
3-Wick Candle5,8841,13119.2%
6.5oz candle-first buyers convert at 30.8% β€” 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)
FragranceFormatCustsGateway %
Pear Cider6.5oz Candle80650.0%
Autumn HeirloomCar Fresh1,31946.8%
Autumn Heirloom6.5oz Candle1,62446.6%
Ginger Pumpkin6.5oz Candle1,16545.5%
Pear Cider5oz Spray2,43741.0%
Forest Fern5oz Spray2,90839.2%
Autumn Heirloom5oz Spray4,40936.4%
Pear Cider candle converts 1 in 2 first-time buyers into repeat customers. Seasonal candles dominate the top of this list.
πŸ”΄ Weakest Gateways (200+ buyers)
FragranceFormatCustsGateway %
Vanilla Peppermint5oz Spray1,8289.2%
Vanilla PeppermintCar Fresh4289.3%
Palo Santo Pine8oz Candle33410.2%
Pacific DriftwoodCar Fresh64711.1%
Pine Forest5oz Spray4,81715.0%
Coastal TideCar Fresh2,14916.5%
Coastal Tide8oz Candle26717.6%
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
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)
🎯 First-Order Variety β†’ Repeat Rate NEW
First Order ContentsCustomersBecame RepeatGateway %Avg 1st AOV
1 product (single SKU)22,0394,33319.7%$21.59
2 products16,0774,12525.7%$33.14
3 products9,4342,48226.3%$54.94
4-5 products15,1954,04526.6%$67.51
6+ products6,3111,83129.0%$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 β€” 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.
πŸ’‘ Reorder Analysis β€” Key Insight
The format gateway matters more than the fragrance. 6.5oz candles convert first-time buyers into repeat customers at 30.8% β€” 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 β€” 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 β€” 2024
18.0%
6,913 of 38,303 customers reordered within 2024
Within-Year Repeat Rate β€” 2025
23.5%
8,813 of 37,443 customers Β· +5.5pp YoY
Action
πŸ”” 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) β†’ Day 14 (satisfaction check + cross-sell) β†’ Day 30 (replenishment reminder) β†’ Day 45 ("try a new scent" with incentive) β†’ Day 60 (urgency + bundle offer) β†’ Day 90 (win-back with stronger discount). This alone could move repeat rate 3–5pp based on industry benchmarks.
Action
πŸ“¦ 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 β€” 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
πŸ•―οΈ Cross-Sell Sprays β†’ 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 β€” 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 β€” 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
πŸ”„ 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.
πŸ“¦ Revenue by Format
5 oz Spray
$2.34M
63.7%
3-Wick Candle
$460K
12.5%
6.5 oz Candle
$340K
9.2%
Car Freshener
$282K
7.7%
2 oz Pack
$134K
3.7%
Vessel
$53K
1.4%
🌿 Revenue by Fragrance Family (All-Time, Pack-Attributed)
πŸ† Fragrance Scoreboard β€” Revenue per Day, 2025 NEW
FragranceLaunch YearUnitsRevenue$/Day
Woodland Sage202326,555$337,254$924
Blondewood202221,701$270,700$742
Golden Grove202420,277$226,504$621
Lavender Blossom201811,275$116,676$320
Cabana β˜…20258,766$112,519$308
Flannel + Leaves β˜…20257,301$100,006$274
Pine Forest20186,854$96,310$264
Bamboo20186,762$85,136$233
Cucumber Aloe β˜…20256,966$84,826$232
Autumn Heirloom20246,140$82,839$227
Vanilla Peppermint20215,664$82,373$226
Coconut Pineapple20246,606$81,367$223
Ginger Pumpkin20195,788$77,840$213
Coastal Tide20226,345$77,397$212
β˜… = 2025 launch. Woodland Sage ($924/day) and Blondewood ($742/day) dominate. Three 2025 launches (Cabana, Flannel + Leaves, Cucumber Aloe) all performing above $230/day β€” healthy new product contribution.
πŸ” Most Reordered Products (Shopify, 100+ buyers min) NEW
FragranceFormatRepeat BuyersTotal BuyersReorder %
Woodland Sage5 oz Spray1,74613,77512.7%
Forest Fern6.5 oz Candle1251,06111.8%
Autumn Heirloom6.5 oz Candle2392,23610.7%
Pear Cider6.5 oz Candle1151,13010.2%
Autumn Heirloom5 oz Spray6026,0639.9%
Palo Santo Pine6.5 oz Candle1791,8189.8%
Pear Cider5 oz Spray3223,2759.8%
Golden Grove5 oz Spray8909,2639.6%
Blondewood5 oz Spray1,39414,8819.4%
Woodland Sage6.5 oz Candle3313,5049.4%
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).
Prioritize
βœ… SKU Health: Invest More
High revenue + high gateway/reorder rates β€” 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
πŸ” SKU Health: Reposition or Deprioritize
High acquisition volume but low retention β€” 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 β€” 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
πŸ”¬ Discovery Set Gateway Underperformance
Prior analysis found the Everyday Favorites Discovery Set at 37% repeat β€” 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 β€” needs Discovery Set variant data for full analysis.)
πŸ“ˆ Monthly MER β€” Spend as % of Net Revenue DuckDB
Lower = more efficient. Nov is typically the most efficient month (BFCM).
πŸ’° Monthly Ad Spend by Channel
πŸ“… Monthly Performance DuckDB
MonthNet RevMetaGoogleAz AdsTotal SpendSpend %MER
Total Revenue (MTD)
$166,100
Shopify API $123.6K + Amazon $42.5K
Run rate: $271K Β· Mar '25: $265K (+2.3%)
Total Ad Spend (MTD)
$38,827
Meta 77% Β· Google 15% Β· Amazon 8%
Run rate: $63K Β· Mar '25: $74K (βˆ’15%)
MER (MTD)
4.28x
β–² +20% vs Mar '25 (3.57x)
TW validated: 4.52x (within 5%)
GA4 CVR
6.29%
β–² +34% vs Mar '25 (4.71%)
Fewer visitors, better conversion
πŸ“‘ Channel ROAS β€” March 2026 MTD (Mar 1–19) ADZVISER LIVE
ChannelSpendConv ValueROASPurchasesCPCCTR
Meta Ads$29,933$121,2264.05x2,215$2.991.0%
Google Ads$5,661$34,6456.12x392$2.365.9%
Amazon Ads$3,233$18,2165.63x553$0.950.9%
🌐 GA4 Web Analytics β€” March MTD NEW β€” LIVE
Active Users19,820βˆ’60% YoY
Sessions26,862βˆ’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.
πŸ“‘ GA4 Traffic Channels β€” March MTD NEW β€” LIVE
Unassigned
$35,237
38%
Paid Search
$19,227
21%
Direct
$14,778
16%
Paid Social
$10,787
12%
Organic Search
$6,365
7%
Organic Social
$3,041
3%
⚠️ "Unassigned" is #1 revenue channel β€” likely untagged Klaviyo email. Paid Search has highest CVR (13.1%).
πŸ“… March YoY Comparison LIVE + DuckDB
MetricMar '26 MTD (19d)Mar '25 (full)Mar '26 Run RateYoY 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$69,311βˆ’15.7%
Total Ad Spend$38,827$74,182$63,349βˆ’14.6%
MER4.28x3.57x4.28x+19.9%
GA4 Sessions26,86261,12043,830βˆ’28.3%
GA4 CVR6.29%4.71%β€”+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.
πŸš€ Meta as Launch Engine MER
Meta ↔ Revenue Correlation
r = 0.81
Strong β€” 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) β€” best21.1%
Summer II (Aug–Sep)24.5%
Spring (Feb)26.1%
Fall (Aug–Sep)27.3%
Non-launch avg26.2%
πŸ”— Amazon Halo Effect MER
Meta ↔ Amazon Revenue Correlation
r = 0.66
Same-week β€” 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.
βš–οΈ Three Levers to Break-Even MER Framework
LeverCurrentTargetImpact
1. Gross Margin44%50% (COGS 50 Plan)~$200K at current revenue
2. MER32%27% β†’ 25%~$170K in reduced spend
3. Revenue$3.31M$4.2M+ β†’ $5.0M$56K CM per $100K growth
All three levers combined (COGS 50 + 25% MER + $5M revenue) = ~$430K operating income (McKinsey scenario). Current structure at 32% MER requires $5.95M revenue to break even β€” unreachable. COGS 50 + 25% MER brings break-even down to $3.83M β€” achievable within 2026 plan.
🎯 2026 MER Targets & Spend Budget MER Framework
Month2025 MER2026 TargetRevenueSpend BudgetPosture
Jan31.2%25%$165K$41KHarvest
Feb33.1%28%$260K$73KInvest
Mar30.6%26%$275K$72KMaintain
Apr33.1%30%$330K$99KInvest
May35.9%30%$340K$102KInvest
Jun31.7%26%$310K$81KHold
Jul33.8%25%$235K$59KHarvest
Aug31.4%28%$345K$97KInvest
Sep31.5%27%$375K$101KModerate
Oct37.1%28%$330K$92KPre-BFCM
Nov26.4%23%$565K$130KBFCM Peak
Dec32.5%26%$320K$83KWind Down
2026 Total32.0%27.0%$3.85M$1.03M+14% rev, –5% spend
πŸ“‹ P&L Anatomy (Mar 2025 – Feb 2026) fact_pnl
Shopify Revenue (Gross)$5.43M
Amazon Revenue (Gross)$2.09M
Wholesale Revenue$196K
COGS β€” Raw Materials–$1.35M
COGS β€” Warehouse Labor–$1.07M
COGS β€” 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
πŸ”„ Gross vs Net Revenue β€” 2025
ChannelGross RevNet RevNet/GrossFeesDiscounts
Shopify$2.99M$2.79M93.4%$128K$70K
Amazon$1.03M$873K84.9%$154K$1K
MER Analysis Net Factors (P&L-derived)
Shopify net factorΓ—0.92🟑
Amazon net factor (ad spend carved out)Γ—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).
πŸ“Š 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 β€” that's the COGS 50 Plan lever.
πŸ“ Weekly Execution Rules
Weekly spend ≀ monthly budget Γ· 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 β˜…)
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) β˜… recommended, Aggressive (35% owned). Full scenario toggle available in the interactive MER dashboard in specs/mer_reference/.
Strategic
🎯 Path to 27% MER β€” Three Levers
Current MER is 29.6% (2025 blended). 2026 target is 27%. Three levers move the needle simultaneously: Lever 1 (Gross Margin): 44% β†’ 50% via COGS 50 Plan = ~$200K impact. Lever 2 (MER): 32% β†’ 27% = ~$170K in reduced spend. Lever 3 (Revenue): $3.31M β†’ $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 β€” achievable within 2026 plan.
Operational
πŸš€ Protect Meta Floor β€” 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 β€” add ~18% to the true blended return.
Investigation
πŸ”¬ Klaviyo Holdout Test β€” 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 β€” it resolves whether email is truly driving 30% of Shopify revenue or whether the platform is overclaiming by 40-70% (industry norm).
πŸ“Ž 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 DuckDB Β· March 19, 2026