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All projects·From: AI-Powered Attribution: Moving Beyond Last-Click to Algorithmic Models
MiniAudit· 30 minutes

Last-Click vs. Data-Driven: Auditing Where the Credit Really Goes

Go Digit General Insurance

Objective: Given a synthetic 6-channel conversion export showing both last-click credit and data-driven attribution (DDA) credit side by side, apply the lesson's framework to identify which channels are under-credited by last-click and recommend a specific budget reallocation.

You're the growth analyst at Go Digit General Insurance, the Bengaluru-based, Nasdaq-listed insurer (NSE: GODIGIT), reviewing a quarter's conversion-path export before the next budget planning meeting.

Compare last-click credit against DDA credit across 6 channels, flag the two most under-credited channels, and size a specific reallocation.

Given both last-click and DDA credit for the same conversions, which channels does last-click undervalue, and how much budget should realistically move?

Marketing Attribution/GA4/Budget Allocation/Data-Driven Attribution

Before you start

What you'll need

  • —Has read the lesson's Last-Click Problem and Data-Driven Attribution sections
  • —Comfortable reading a spreadsheet with percentage columns
Data-driven attribution (DDA)
an algorithmic credit model, trained on your account's actual conversion paths, that infers how much each touchpoint actually contributed instead of applying a fixed rule like last-click.

Free path (everything below is enough to finish)

Google Sheets
FreeBuild the last-click vs. DDA comparison table and compute deltas

Free, sufficient for a 6-row comparison and delta sort

Google Analytics 4
FreeSource of the real last-click and DDA credit percentages in production

DDA is GA4's default attribution model, this is where the real export comes from

The process

1 step

Step 01 of 01

Last-click over-crediting bottom-funnel channels

The lesson explains that last-click credits 100% of a conversion to whichever channel came last, usually retargeting or branded search, starving the channels (YouTube, email nurture, organic) that actually built the awareness and trust behind the sale.

Six channels, last-click credit vs. DDA credit: Retargeting Ads (last-click 38%, DDA 19%), Branded Search (24%, 21%), Email Nurture (9%, 22%), Organic Social (8%, 15%), YouTube (6%, 14%), Direct (15%, 9%). Which two channels does last-click most undervalue?

Google Sheets— A sheet with columns: channel, last_click_pct, dda_pct, delta (dda minus last_click).

Procedure

  1. Enter both credit percentages for all 6 channels
  2. Compute delta = dda_pct - last_click_pct for each row
  3. Sort by delta descending to surface the most under-credited channels
  4. Sort by delta ascending to confirm which channel last-click most over-credits
Sample output
Go Digit, last-click vs. DDA credit (sorted by delta, most under-credited first)

channel            last_click  dda   delta
Email Nurture           9%      22%   +13
YouTube                 6%      14%   +8
Organic Social          8%      15%   +7
Branded Search         24%      21%   -3
Direct                 15%       9%   -6
Retargeting Ads        38%      19%   -19

Healthy

Email Nurture and YouTube are flagged as under-credited (biggest positive deltas) and Retargeting Ads is flagged as over-credited (biggest negative delta).

Unhealthy

Reading only the last-click column and concluding Retargeting Ads deserves 38% of next quarter's budget, exactly the mistake the lesson opens with.

What this means

A +13pt delta on Email Nurture means last-click is hiding almost a third of its true contribution. Retargeting's -19pt delta means it's the channel that 'always comes last' the lesson warns about, not necessarily the channel doing the most work.

So what do I do about it?

SymptomActionEffort
Budget keeps flowing to Retargeting Ads every quarter because it 'converts best'Present the DDA delta table before the next budget meeting and propose shifting a defined percentage from Retargeting into Email Nurture and YouTube30 min
YouYou can do this yourself, no engineering access required.

Final deliverable

A ranked delta table identifying the two most under-credited and one most over-credited channel, plus a one-paragraph reallocation recommendation.

See a reference example
Sample output
Sula Vineyards, last-click vs. DDA credit (excerpt)

channel          last_click  dda   delta
Wine Club Email       11%      24%   +13
Direct                33%      22%   -11

Recommendation: Wine Club Email is under-credited by 13 points under last-click. Shift a portion of the Direct-attributed budget assumption toward funding the nurture sequence that actually builds the repeat-purchase behavior DDA is crediting.

Success criteria

You're done when you can:

  • Correctly computes the delta between last-click and DDA credit for every channel
  • Identifies Email Nurture and YouTube as the two most under-credited channels
  • Names Retargeting Ads as the most over-credited channel, not just the highest last-click number