You're running six ad platforms. You still can't tell which one made you money.

The root cause is attribution windows and deduplication. Google Ads defaults to a 30-day click window. Meta uses a 7-day click / 1-day view window. Both claim the same conversion. Add in Klaviyo, direct traffic, and organic, and the sum of claimed conversions is 2-3x your actual order count. Your CFO sees this and stops trusting the marketing team's numbers entirely. The fix isn't a better attribution model inside one platform — it's a warehouse where you define conversion once, deduplicate across channels, and apply consistent attribution logic you control.

We've seen agencies where a team of four spends 10+ hours a week on reporting that could be fully automated. The cycle is always the same: export from Google, export from Meta, export from LinkedIn, paste into a master Google Sheet, fix the date formatting, reconcile the numbers that don't match, build the slides, send to the client, answer the follow-up questions about why a number changed since last week. A warehouse-backed dashboard eliminates every step except the strategic interpretation — which is what clients are actually paying for.

This question is deceptively hard because it requires joining advertising data (spend, impressions, clicks) with downstream business data (leads, opportunities, revenue). These datasets live in different systems with different identifiers and different update cadences. Google Ads doesn't know what happened in your CRM. Your CRM doesn't know where the lead came from. The warehouse is the only place where both sides of the equation can meet, with UTM parameters, lead source, and closed revenue all mapped to the same timeline.