Drop your Shopify export. See cohorts, returns, channel ROAS, and inventory forecasts — with the SQL behind every chart.
Where spreadsheets fail you
No cohort analysis — no idea which acquisition channels retain customers
Cohort retention curves built from your order data in one query
Return rates visible only at month-end in a manual spreadsheet
Real-time anomaly alerts when return rates spike above baseline
ROAS numbers from ad platforms don't match actual revenue in your books
Channel ROAS calculated from your own transaction data — no platform bias
What WorkLiq does for D2C founders
Ask "show retention by acquisition month" — WorkLiq builds the cohort table from your order history, groups by join month, and plots drop-off curves. SQL shown. No spreadsheet required.
Which cities generate your highest-margin orders? Which zipcodes are high-return risk? Drill by city, region, or pincode in plain English. Get the bar chart and the SQL simultaneously.
If orders drop 40% on a Tuesday or returns spike on a product, WorkLiq detects it automatically and queues a WhatsApp alert — before your ops team notices.
ARIMA forecasting on SKU-level demand using your own order history. Next-month predictions with confidence intervals. Seasonal pattern detection included.
Case study
Riya Mehta, Co-founder at NestNook
D2C home decor brand, Pune — 3,000 orders/month across 4 channels
"Our Meta ROAS looked great in Ads Manager. WorkLiq showed us that after returns and cancellations, our actual net ROAS on Meta was 1.4x — we were effectively losing money. Shifted budget to organic and Google Shopping. Within 6 weeks margins improved by ₹3.2L. I now run this every Monday morning — takes 10 minutes instead of a full day."
₹3.2L
margin recovery in 6 weeks
1 day
weekly analysis cut to 10 min
4x
channels tracked without a BI tool
CSV, Excel, or JSON. Full cohort and ROAS analysis in under 60 seconds. No account required for the demo.
Try with sample data →Pre-loaded with D2C retail data. No signup required.