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Industry solution

In high-AOV, the most expensive thing isn’t the click — it’s the anonymous high-intent visitor you lose.

They watched your video, came back to compare, even added to cart — then vanished from your reports and your remarketing. Attribuly brings invisible impact and recoverable intent back into an execution loop you can scale.

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Fast setup • Privacy-safe tracking • Built for multi-touch journeys

A high-value consumer product
1,200+/day
New captured emails
-38%
Remarketing CPA
2.1×
Overall ROI uplift

The 3 moments you recognize immediately

The impression that created intent… gets zero credit

Video, display, and creator content can be the first real push — but last-click reporting won’t recognize it.

The highest-intent shoppers stay anonymous

High-AOV buyers rarely convert on the first visit. If they leave without a reachable identity, you can’t recover them.

Budget decisions are forced to follow the wrong “answer”

When assist touchpoints are under-credited, spend drifts toward channels that look good short-term — not the ones that create demand.

Multi-touch journey illustration

Why high-AOV is uniquely easy to misread

Because the journey is multi-touch by nature.

Shoppers revisit, compare, and switch devices before buying.

Assist touchpoints (video, display, creators) often aren’t the “final click,” but they’re the real driver of incremental conversions.

If you treat them as “ineffective,” you’ll keep reallocating budget away from what actually grows revenue.

What it feels like before measurement becomes reliable

GA4 vs backend revenue gap
30%
Orders shown as “Direct”
50%+
Ad ROI uplift
20%
Email share uplift
10%
Dashboard preview
Customer review when Attribuly was awarded as the "Best Tech Solution".
Background
We relied on Google Analytics (GA) 4 and multiple tools to attribute traffic across search, social, and creators. The result was three recurring problems: revenue discrepancy (GA4 vs Shopify backend revenue differed by ~30%), conflicting attribution logic across tools, and poor journey visibility (over 50% of orders showed as “Direct”).
What we changed
We introduced Attribuly to redefine attribution with an AI + unified data + full-funnel tracking approach: consolidate touchpoints across channels, support multiple attribution views (first/last/linear), and use privacy-safe server-side tracking to send compliant signals back to ad platforms. We also reconstructed “Direct” into real first-touch sources (organic social, creator referrals) and turned anonymous visitors into operable leads.
Results
Budget optimization got faster. Ad ROI increased by 20%, and email-driven conversions increased by 10%.

How Attribuly fixes it (in 4 steps)

1) Capture: make intent reachable

Enrich emails for high-intent anonymous visitors so you can actually follow up.

2) Server-Side Tracking: keep the journey intact

Use privacy-safe server-side tracking so your measurement doesn’t collapse under browser restrictions.

3) Full Impact: restore assist value

Quantify view-through and assist touchpoints so video/display/influencers stop being under-credited.

4) AllyClaw: turn insights into actions

Run a weekly budget loop: diagnose what’s working, scale what gains credit, cut waste with guardrails.

What changes after you implement it

Email list growth
8k → 18k in 3 months
Klaviyo email ROI
1:42
Remarketing CPA
-38%
Waste reduced
-41%

Two case stories

A smart cleaning device
Mini case story

Case 1 — Smart cleaning device

Before
Video spend created demand, but last-click made it look ineffective. High-intent add-to-cart shoppers left anonymously.
Turning point
We realized the biggest money leak wasn’t the ad cost — it was the recoverable intent that stayed unreachable.
What changed
  • Capture: enrich emails for anonymous high-intent visitors.
  • Full Impact: restore assist value for video/display.
  • Conversion Feed: send richer identifiers to Meta/Google/Klaviyo.
After
  • 1,200+ new valid emails per day.
  • Remarketing CPA down 38%.
  • Video budget share increased with stronger ROI.
Copy this
  • Create a high-intent audience tier (viewed product + add-to-cart).
  • Feed View Product / Add to Cart / Purchase back to platforms.
  • Compare Full Impact vs last-click weekly before reallocating budget.
An electric mobility product
Mini case story

Case 2 — Electric mobility product

Before
Influencers + social + search all contributed, but attribution couldn’t tell which touchpoints actually drove conversions. High-intent visitors stayed anonymous.
Turning point
The problem wasn’t “too many channels” — it was missing the cross-touchpoint truth needed to cut waste confidently.
What changed
  • Capture across browse and cart stages.
  • Model comparisons: Position-based + Full Impact to clarify contribution.
  • Event-level feeds to improve remarketing audience quality.
After
  • 2,800+ high-quality emails captured per month.
  • Remarketing contributed ~34% of total orders.
  • Overall ROI improved after cutting low-efficiency spend.
Copy this
  • Use two models side-by-side to guide decisions, not one “truth.”
  • Build segmented remarketing by intent tier.
  • Review a weekly budget memo: scale/cut/test — and why.

Playbook checklist you can copy

Day 1 — Get reliable signals
  • Verify event collection (View Product / Add to Cart / Purchase).
  • Enable conversion feed with clean, deduped signals.
  • Baseline model comparison (Full Impact vs last-click).
Day 7 — Recover intent at scale
  • Build high-intent audience tiers for remarketing.
  • Launch segmented messages (browse vs cart vs repeat visitors).
  • Identify channels under-credited by last-click.
Day 30 — Make budget decisions repeatable
  • Reallocate budget with small experiments and guardrails.
  • Run a weekly review loop with a written decision log.
  • Document learnings and refine your best-performing loops.

FAQ

Ready to make high-intent visitors reachable?

Start with the checklist, then iterate with a weekly budget loop.

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