13:22 min
Introduction to Marketing Measurement
eCom brands pour 20 to 25% of revenue into marketing, which makes every daily budget call high-stakes, and measurement genuinely hard. This opening chapter lays out why there's no single provable truth for which channel drove a sale, why tool vendors are incentivised to make their own numbers shine, and introduces the five lenses you'll spend the rest of the course mastering.
Introduction to Marketing Measurement3:22
→ Why there's no single source of truth→ The five methods, mapped→ Speed as a structural edge
25:21 min
Platform Attribution
The numbers Meta, Google and TikTok report about themselves are convenient, free, and structurally biased. You'll see how default windows (Meta's 7-day click / 1-day view) inflate impact, why every platform happily claims the same purchase, and where opaque “modelled conversions” quietly fill the gaps. Essential for feeding the algorithms; dangerous as your only scoreboard.
Platform Attribution5:21
→ Attribution windows, decoded→ Double-counting across platforms→ When to trust it, when not to
KlarThis is the exact problem Klar exists to fix: an independent, platform-agnostic view that doesn't grade its own homework.
34:58 min
Post-Purchase Surveys
The cheapest signal you're probably not using. One question on the order-confirmation page, “Where did you first hear about us?”, captures the podcast, the friend, the creator that never fired a pixel. You'll get the full setup: placement, 6 to 10 randomised options, follow-ups to kill ambiguity, and why to treat the data as directional, not gospel.
Post-Purchase Surveys4:58
→ The one question that works→ 20 to 50% response rates→ Immune to privacy changes
48:35 min
Multi-Touch Attribution (MTA)
The workhorse for day-to-day creative and campaign calls. Good MTA stitches the full journey with first-party and server-side tracking, resolves identity across devices, and weights credit intelligently instead of dumping it all on the last click. You'll learn why sloppy tracking silently loses 20 to 40% of conversions, and why even great MTA still under-credits awareness.
Multi-Touch Attribution8:35
→ First-party beats last-click→ Weighting credit, not splitting it→ The click-based blind spot
KlarKlar's MTA uses a Lifetime Visitor ID to stitch journeys with no lookback window, and feeds credit all the way down to ad-level CM3, not just ROAS.
58:44 min
Marketing Mix Modeling (MMM)
When click-based tracking goes blind on brand, TikTok and offline, modeling steps in. MMM reads aggregate spend and revenue to estimate each channel's true contribution, separates baseline sales from marketing-driven ones, and maps saturation curves so you know what the next euro actually buys. Privacy-safe, full-funnel, and increasingly daily thanks to Bayesian methods.
Marketing Mix Modeling8:44
→ Baseline vs. incremental revenue→ Saturation & the next-euro question→ No cookies, no pixels
KlarKlar's MMM (in Beta) runs your marketing and sales data through ML models to surface the full-funnel effect of each channel.
67:16 min
Incrementality Testing
The closest thing to scientific proof. Geo-holdout tests run a channel in some regions and withhold it in others, then compare against a synthetic control to read true lift. You'll see how one brand proved an €850k awareness campaign drove a 6 to 7% incremental bump in new-customer revenue, and why results are snapshots, not universal laws.
Incrementality Testing7:16
→ Geo-holdouts & synthetic control→ Is retargeting actually incremental?→ Snapshots, not transferable truths
KlarKlar's geo-based incrementality testing (Beta / coming soon) feeds its learnings straight back into your MTA and MMM.
75:35 min
Unified Attribution
No single method wins, so you combine them. Unified attribution uses MTA as the daily backbone, folds in survey data, redistributes unattributed revenue to awareness channels via MMM, and anchors the whole thing to incrementality tests as a “truth prior.” Disagreement between methods becomes signal, not noise. The result: one model that's daily, full-funnel, and still actionable at the ad level.
Unified Attribution5:35
→ A confidence score per journey→ Disagreement as signal→ Daily · full-funnel · ad-level
KlarThis is Klar's Unified Measurement Engine in a nutshell. It is the approach that helped one brand cut acquisition costs ~25% while scaling from $30M to $100M+.
82:43 min
Conclusion & Summary of Methods
A clear map of which method to trust, when, and why, matched to your stage of growth. Early brands start with platforms and surveys; multi-channel brands add independent MTA; brands investing in awareness need MMM; at scale, geo-tests settle the big budget bets. The throughline: better questions beat false certainty, and that's how you see through marketing's half-truths.
Conclusion & Summary2:43
→ Match method to maturity→ Granularity vs. the full picture→ Better questions, better budgets
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