Profit-first growth, without the dashboard theatre.

Cost-per-purchase in Ads Manager is not your CAC. RTO, COD, returning buyers and GST all sit between the dashboard and the truth. Here's the honest formula with a worked example.

Not forty charts — ten numbers, each with a target and a question attached. The Monday dashboard that catches problems while they're still cheap to fix.

Nobody — they're answering different questions. A field guide to the attribution gap: where it comes from, how to measure yours, and the UTM + server-side setup that closes it.

Agents that watch metrics, diagnose funnels and draft budget moves are real. Agents that autonomously run your ad account are mostly a liability. A field guide to the line between.

Shopify, GA4, Meta and your BI tool will give you four different revenues for the same month — every time. The cause is definitional, not technical. The fix is a semantic layer.

Most D2C brands lose money on the first order — that's fine, if you know exactly when the customer pays you back. The cohort math, the formulas, and the point where retention says 'stop acquiring'.

Attribution assigns credit. Incrementality measures causation — what happens when the ads stop. The test designs that work at D2C scale, the iROAS math, and when testing is overkill.

MMM is having a revival — privacy killed the pixel, so statistics are back. But below a certain scale, a mix model mostly redecorates your assumptions. An honest sizing guide.

The browser pixel now misses 20–40% of your conversions — in India, payment-gateway redirects make it worse. What the Conversions API actually is, the setup options, and how to verify it's working.

Blended averages are where truths go to hide. Three cohort views — by month, by first product, by channel — that show whether your brand is compounding or quietly decaying.