Why attribution shows what actually works in Digital Marketing - Visual Breakdown

Concept Flow - Why attribution shows what actually works

User sees Ad 1

↓

User clicks Ad 1

↓

User visits website

↓

User sees Ad 2

↓

User clicks Ad 2

↓

User makes purchase

↓

Attribution model assigns credit

↓

Marketer sees which ads helped

This flow shows how a user interacts with multiple ads before buying, and how attribution assigns credit to each ad to reveal what truly influenced the purchase.

Execution Sample

Digital Marketing

User sees Ad1 -> clicks Ad1 -> visits site -> sees Ad2 -> clicks Ad2 -> buys -> attribution assigns credit

This sequence tracks user actions and how attribution models assign credit to ads that led to the purchase.

Analysis Table

Step	User Action	Ad Interaction	Attribution Credit Assigned	Result
1	Sees Ad 1	Ad 1 viewed	No credit yet	User notices Ad 1
2	Clicks Ad 1	Ad 1 clicked	Partial credit to Ad 1	User visits website
3	Sees Ad 2	Ad 2 viewed	No credit yet	User notices Ad 2
4	Clicks Ad 2	Ad 2 clicked	Partial credit to Ad 2	User proceeds to buy
5	Makes Purchase	Conversion	Credit split between Ad 1 and Ad 2	Sale completed
6	Marketer reviews data	Attribution report	Shows which ads influenced sale	Informs marketing decisions

💡 User completes purchase; attribution assigns credit to ads that influenced the decision.

State Tracker

Variable	Start	After Step 2	After Step 4	Final
User Awareness	Low	Medium (Ad 1 clicked)	High (Ad 2 clicked)	Converted
Attribution Credit Ad 1	0%	50%	50%	50%
Attribution Credit Ad 2	0%	0%	50%	50%

Key Insights - 2 Insights

Why does attribution assign credit to multiple ads instead of just the last one?

Because users often interact with several ads before buying, attribution models split credit to show all ads that helped, as seen in steps 2 and 4 of the execution_table.

What happens if we only look at the last ad clicked?

We might wrongly think only the last ad caused the sale, ignoring earlier ads that built interest, which attribution corrects by assigning credit to all relevant ads.

Visual Quiz - 3 Questions

According to the execution_table, at which step does the user make a purchase?

A Step 4

B Step 3

C Step 5

D Step 6

💡 Hint

Look at the 'User Action' column in the execution_table for the purchase event.

What percentage of attribution credit does Ad 1 have after step 4 according to variable_tracker?

A 50%

B 0%

C 100%

D 25%

💡 Hint

Check the 'Attribution Credit Ad 1' row after step 4 in variable_tracker.

If the user did not click Ad 1, how would the attribution credit change?

A Ad 1 would get full credit

B Ad 2 would get full credit

C Credit would be split equally

D No credit assigned

💡 Hint

Consider that attribution assigns credit only to ads the user interacted with, as shown in the execution_table.

Concept Snapshot

Attribution tracks user interactions with ads before a purchase.
It assigns credit to all ads that influenced the sale.
This helps marketers see what really works.
Credit can be split between multiple ads.
Avoids blaming only the last ad clicked.

Full Transcript

Attribution in digital marketing shows what actually works by tracking how users interact with multiple ads before making a purchase. The process starts when a user sees and clicks an ad, visits the website, then may see and click another ad before buying. Attribution models assign credit to each ad that helped influence the purchase, not just the last one. This way, marketers understand which ads contributed to the sale and can make better decisions. The execution table traces each user action and how credit is assigned step-by-step. Variable tracking shows how user awareness and attribution credit change over time. Key moments clarify why credit is shared and why looking only at the last ad is misleading. The visual quiz tests understanding of when purchase happens, credit percentages, and effects of missing clicks. Overall, attribution reveals the true impact of marketing efforts by showing what actually works.