The short version Incrementality testing told you whether one channel was real. You turned Meta off in a few cities and read the gap. But you can only test one channel at a time, and you can't turn off the ones that matter most for a growing brand:
Every ad platform you pay is graded on a test it writes, marks, and reports itself. Meta decides which sales to claim credit for, then hands you a ROAS built on that claim.
By now you have accepted the hard part. Your own site knows your customer. Blinkit, Swiggy and Amazon know a SKU and a sales number, never a person. Stitching sounds like one job. It is really three, and they are not equally trustworthy.
The short version Most D2C brands don't have a tracking problem because they track too little. They have one because they track too much, badly. A dev fires an event every time someone asks for a number, and a year later you're sitting on 200 events,
The short version You've scaled spend and you can finally see per-channel outcomes. Which channel drives trials, which trials convert to paid, which stick around. That's a real milestone, and most teams never get there. Here's the problem waiting on the other side
You're running paid across a few platforms. Google, Meta, maybe TikTok or LinkedIn. You've set up conversion actions, you check each dashboard, and you make budget calls off what they report. Channel looks good, put more in. Channel looks bad, pull back. Here's the
The short version You've hit product-market fit. Thousands of users. You've got a product analytics tool already, Mixpanel or PostHog or Amplitude, plus a CRM, an email tool, and two ad platforms. All of it wired up whenever someone needed a number, none of it
You've launched. You have users. The product is stable. And now you want to stop guessing and actually look at your data. This is the moment almost everyone gets wrong. A team decides to get serious about analytics, spends six months and a good chunk of money, and
The short version Every D2C brand is running ads on Meta and Google. If you're reading their conversion numbers and trusting them, this one's for you. Those numbers are inflated, in two separate ways, and the gap between what the platforms claim and what you actually
The short version Your marketing site and your product live on two subdomains, and most companies never join the data between them. So you can see cost per visitor by channel, but not which channel brings users who signup, activate, retain, and pay. That second number is the one that
The short version On your own website and app, you know who your customer is. You know that Priya came back three times before she bought, that she found you through an Instagram ad, that she abandoned a cart in March and came back in May. That is the layer
Every startup I've worked with has analytics debt. Every single one. Not because they're bad at data. Because they were busy doing the thing that matters more early on. Building a product people want. But here's what happens. You raise your Series A. You