Which touchpoint actually deserves the credit?
All traffic looks like "direct" — guesswork.
source/medium/campaign tagged on every link — real channel performance.
UTM convention:
| Link | utm_source | utm_medium | utm_campaign |
|---|---|---|---|
| Meta mock-test ad | paid_social | ielts_mocktest_2026_11 | |
| Welcome email Day 5 | newsletter | welcome_flow | |
| Influencer Story | influencer | riya_mocktest_2026_11 |
One journey, three views. Sita sees a Meta ad (Monday), searches "pathshala tutors" organically (Wednesday), then clicks a Google ad and books (Friday).
| Model | Meta | Organic | Google Ads |
|---|---|---|---|
| Last click | 0 | 0 | 1 |
| First click | 1 | 0 | 0 |
| Linear | 0.33 | 0.33 | 0.33 |
Under last click, Meta looks worthless and might be cut, even though it started the journey.
Insight memo (extract): "Google Ads drives 50% of last-click leads, but 40% of those leads had a Meta touch earlier. Recommendation: keep Meta at NPR 5,000 and shift NPR 2,000 from broad-match search to brand and remarketing. Expected impact: CPL down from NPR 500 to about 430 within 6 weeks."
Full walkthrough in the session note.
Recall the education PPC case as a data baseline for a real optimization cycle.
Direct input into your Session 23 stakeholder report.
Apply it: A customer clicks an Instagram ad, opens two emails, and converts via an organic search. Allocate credit under last-click, first-click and linear models, and discuss which channel is at risk of being under-funded.