One profit-aware view of your store.
Across every channel. On your own warehouse.
1max replaces Shopify Reports + GA4 + Triple Whale with a single BigQuery-native analytics hub. Cohort retention, POAS, nCAC, anomaly alerts, AI recommendations — all in your own GCP project. You own the data. We bring the dbt models, the dashboards and the weekly narrative.
No credit card · 14-day refund · Built on patterns from real $2–5M Shopify stores
Cohort retention M0–M24
Goldratt theory of constraints applied — one weak month determines whole cohort. Track 12 cohorts × 24 months.
POAS & nCAC per channel
What Meta says vs how many new customers actually came. Inflation ratio surfaces the gap.
BQML anomaly alerts
ARIMA_PLUS detects revenue / CR / CPM anomalies (z > 3) → Slack notification with likely cause.
AI weekly narrative
Claude reads your dbt marts every Monday and writes a 6-paragraph "what changed and why" digest.
Built on patterns from real client work, not whiteboards.
Every dbt model in 1max ships from a real $2–5M ecom store we already audited. The Money Leaks, won/transit logic, attribution canon, hour×day heatmap, ABC margin classification — all validated for 6+ months before we abstract them.
Executive Dashboard
Revenue, gross profit, MER, POAS, nCAC, active customers — one screen, daily/weekly/monthly toggles.
Cohort heatmap + LTV
12 monthly cohorts × M0–M24. Cumulative revenue per cohort. Payback period overlay per acquisition channel.
Channel attribution
Last-touch CRM + first-touch GA4 (Medica canonical). nCAC vs blended CAC. POAS gradient. BEROAS guardrail.
Anomaly Slack alerts
BQML ARIMA_PLUS daily forecast → flag revenue / CR / CPM deviations. Note generated per alert.
Loss breakdown
Daily × channel × reason. Cart abandon vs payment fail vs OOS vs return. Surface the fix worth most $.
Hour × day heatmap
When customers buy. Inform ad scheduling and CS staffing. Detect "Friday-night promo" spikes.
Manager performance
If you have a sales-rep CRM (Salesdrive, OneBox), 1max scores reps on won-rate, response time, upsell.
SKU ABC + margin
Pareto classification of every SKU. Contribution margin per item. Stockout impact per A-class.
AI Recommendations
Prioritized by $ impact. "Pause Google Brand-Broad-Generic — POAS 0.71, save $2.4k/mo."
From signup to first insight · 7 days
Connect
You bring GCP project. We deploy our dbt repo + connectors (Fivetran trial). 90 min onboarding call. Day 0–1
Sync
Connectors back-fill 12 months. dbt builds staging → intermediate → marts. We validate Shopify-vs-GA4 revenue diff < 5%. Day 2–4
Read
Open hub. Money Leaks Panel sits above the fold. Pick one to fix this week. AI writes the weekly narrative. Day 5+
Pricing
Monthly subscription. Customer owns the BigQuery project. Cancel anytime, BQ stays yours.
Starter $149/mo
For $1–2M ARR brands, founder-led, base metrics.
- ✓ 5 dashboards · core marts
- ✓ 1M GA4 events / mo
- ✓ Self-service onboarding
- ✓ Email support 48h
- — No AI weekly narrative
- — No anomaly Slack
Growth $400/mo
For $2–5M ARR brands, team of 2–3.
- ✓ Everything in Starter
- ✓ AI weekly narrative
- ✓ Anomaly Slack alerts
- ✓ Predictive LTV (BQML)
- ✓ Custom calc-fields
- ✓ 5M GA4 events / mo
- ✓ Slack support
Pro $1,200/mo
For $5M+ ARR brands or multi-brand operations.
- ✓ Everything in Growth
- ✓ Multi-brand SKU classification
- ✓ Custom dbt adjustments (5/mo)
- ✓ Priority support 12h
- ✓ Quarterly business review
- ✓ 20M GA4 events / mo
Add-on: Setup project $2,500–$5,000 if you can't self-onboard. We deploy BQ + GA4 export + Shopify/CRM connectors + dbt. 2-week handover.
See the hub in 30 seconds.
No signup. The demo is pre-loaded with anonymized data from a real $2.4M ARR Shopify store.
Open live demo →