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Attribution Features

Shopify attribution & tracking, made simple

Switch between Last / First / Linear / Time-decay and instantly see how ROAS, cost per purchase and total sales move when you change budget and channel mix. Perfect for answering “what if we move 20% from Meta to Google?” without touching a single live campaign.

Last Click

Protects brand and retargeting — gives most credit to the final click before someone buys.

First Click

Finds true top-of-funnel winners — rewards the first ad that brought the customer in.

Linear

Keeps everyone honest — shares credit across all steps when journeys are long and messy.

Time-decay

Leans into recency — closer touches to purchase get slightly more credit, without ignoring earlier steps.

Model playground
Answer “what if we…” in seconds.
ROAS (blended)
3.15• 0% vs base
Dollars back for each $1 spent.
Cost per Purchase
$18.78• 0% vs base
Average ad cost to get one purchase.
Estimated purchases
1,065• 0% vs base
Based on today’s inputs (not a promise).
What the chart hints at
Taller bars = more expected impact for this split. Blue leans New customers, green leans Returning customers.
Budget mix — how you split spend
65% Returning • 35% New
Returning = people who already know you (cheaper, higher ROAS). New = people who haven’t met you yet (pricier, growth).
Monthly ad budget
USD
Estimated revenue
$62,954
Split across platforms
Meta (FB/IG)
50% of budget
Warm ROAS 3.4
Warm CPP $17
New ROAS 2.4
New CPP $26
Google
35% of budget
Warm ROAS 3.8
Warm CPP $16
New ROAS 2.6
New CPP $24
TikTok
15% of budget
Warm ROAS 2.8
Warm CPP $19
New ROAS 2
New CPP $28
Tip: drag any slider — we’ll keep the others balanced so everything still adds up to 100%.
Attribution model

Models don't change the cash in your bank — they change how you tell the story of which touchpoints get credit. Use them to pressure-test plans and defend budget decisions.

Assumptions (plain language)
  • Returning customers (warm): already know you → cheaper, higher ROAS and more predictable performance.
  • New customers (prospecting): don't know you yet → pricier, lower ROAS in the short term, but this is where future growth comes from.
  • Platform defaults here are demos. In your workspace, Attribix uses your real tracking data so these curves reflect your brand, not a generic template.

What this unlocks for you

  • See how different models change which channels look “good” — before you make big budget decisions.
  • Understand the balance between Returning vs New customers and how that mix impacts ROAS, CPP and total purchases.
  • Walk into budget meetings with screenshots and stories, not gut feeling — “Here is what happens if we shift 15% more into prospecting.”

Tracking Layer

Better tracking, not just prettier reports

Attribix sits between your store and the ad platforms. We combine first-party cookies, server-side events and clean IDs so you see sales that pixels miss — and your attribution models are built on real data, not guesswork.

First-party IDs

First-party identifiers help maintain more consistent measurement across sessions where browser-based tracking is limited.

Server-side events

Purchases and key events sent via CAPI with smart deduping against your pixels.

Model-ready data

Clean, joined event stream so Attribix can run attribution models and reports instantly, tightly integrated with your store.