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Marketing attribution models explained for B2B

Ask each ad platform who produced last quarter's leads and the totals add up to more than the leads you had. Each platform credits itself, and each analytics report credits by its own rule. Attribution models are those rules. This guide explains the common models in plain terms, what Google Analytics 4 offers today according to Google's documentation, why B2B attribution is harder, and a practical way to share credit that a finance team will accept. It is part of our GA4 setup checklist.

Reviewed by Benjamin SardarUpdated 12 Nov 20263 min read

The short answer

What are marketing attribution models?

Marketing attribution models are rules for sharing the credit for a lead or sale between the marketing touches that came before it. First-touch gives all credit to the first interaction, last-touch to the last, linear splits it equally, time decay favors recent touches, position-based favors the first and last, and data-driven models assign credit from patterns in the data. Google Analytics 4 now offers data-driven and last-click models; Google removed first click, linear, time decay and position-based in November 2023.

Key takeaways
  • Attribution models share credit for a lead or sale between earlier marketing touches.
  • Rule-based models (first, last, linear, time decay, position-based) apply a fixed rule; data-driven models learn from your data.
  • GA4 now offers data-driven, paid and organic last click, and Google paid channels last click.
  • B2B buying paths are long and involve several people, so web attribution misses much of what happens.
  • Measure against pipeline and revenue in your CRM; count leads as people in your lead record.

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Attribution models compared

How each model shares credit, what it shows and whether GA4 offers it today. Availability from Google's help page; the rest is our own working guide.

Availability: Google Analytics Help, attribution models (first click, linear, time decay and position-based removed November 2023). Use: our own working guide.
ModelHow credit is sharedShowsIn GA4 today
First touchAll to the first interactionWhat starts the buying pathNo
Last touchAll to the last interactionWhat closesYes (last click models)
LinearEqually across all touchesEvery channel's partNo
Time decayMore to recent touchesWhat pushes toward the endNo
Position-basedMost to first and lastOpeners and closersNo
Data-drivenFrom patterns in your dataLearned contributionYes

Attribution models share credit for a lead or sale between earlier touches: first touch, last touch, linear, time decay, position-based or data-driven. GA4 now offers data-driven and last-click models only. For B2B, measure channels against pipeline and revenue in your CRM, add a "how did you hear about us" field, and use attribution to compare channels.

The common attribution models

Each model is a rule, and each rule answers a different question:

  • First touch: all credit to the first interaction. Shows what starts the buying path.
  • Last touch: all credit to the last interaction before the lead or sale. Shows what closes.
  • Linear: credit split equally across every touch.
  • Time decay: more credit to touches closer to the conversion.
  • Position-based (U-shaped): most credit to the first and last touches, the rest spread between.
  • Data-driven: credit assigned from patterns in your own conversion data.

What GA4 offers now

Google's attribution help page lists three models available in Google Analytics 4: data-driven, paid and organic last click, and Google paid channels last click. It also states that the first click, linear, time decay and position-based models are no longer available as of November 2023. Credit applies to your key events, and key events can be imported into Google Ads as conversions, where the same model shapes bidding.

Why B2B attribution is harder

Web attribution sees only part of a B2B purchase:

  • Long cycles: months between first visit and signed deal, longer than most tracking windows.
  • Several people: the researcher, the user and the approver each touch different channels.
  • Offline steps: calls, meetings, events and referrals that analytics never sees.
  • Dark social: links shared in messages and private groups arrive as direct traffic.
  • Consent and privacy: visitors who decline tracking leave no trail.

A practical approach for B2B

Six steps that give credit a finance team will accept:

  1. Count leads as people in your lead record or CRM, never as analytics events.
  2. Capture source on every lead: first-touch and last-touch channel and campaign in hidden form fields.
  3. Ask: a "how did you hear about us?" field catches what tracking cannot.
  4. Follow leads to revenue: report channels on qualified leads, pipeline and closed revenue.
  5. Compare models, do not crown one: look at first touch and last touch side by side, and use data-driven where you have enough volume.
  6. Test where you can: pause or add a channel in one region or period and watch pipeline.

Choosing a model

Use first touch to see what starts the buying path, last touch to see what closes deals, and data-driven when you have enough conversions for it to learn from. No model is the truth; each is a lens. Decisions about budget belong to the combination of attribution, self-reported source and tests, judged on pipeline and revenue. Our strategy work helps turn that into a budget plan.

Common attribution mistakes

The faults that move budgets the wrong way:

  • Adding up platform-reported conversions. Each platform credits itself, so totals overlap.
  • Counting analytics events as leads. Leads are people in your records.
  • Judging B2B channels on form fills. Pipeline and revenue tell a different story.
  • Cutting channels that start buying paths because last-touch reports never credit them.

Conclusion

Attribution models share the credit for a lead or sale between earlier touches: first touch, last touch, linear, time decay, position-based or data-driven. GA4 now offers data-driven and last-click models only, having removed the others in November 2023. For B2B, count leads as people in your CRM, capture source on every lead, ask how buyers heard of you, report on pipeline and revenue, and treat each model as a lens rather than the truth.

PromotEdge International is an international strategy, technology, marketing and design company, and our delivery team is in India. Our analytics team connects ad platforms, GA4 and your CRM so channel credit is measured against real pipeline.

Facts we rely on: see our company facts for what we state about ourselves and where each fact comes from.

Common questions

  • A rule for sharing the credit for a lead or sale between the marketing touches that came before it. First touch credits the first interaction, last touch the last, linear splits evenly, time decay favors recent touches, position-based favors first and last, and data-driven learns from your data.

  • Google's help page lists data-driven, paid and organic last click, and Google paid channels last click. It states that first click, linear, time decay and position-based models are no longer available as of November 2023.

  • No single model. Look at first touch and last touch side by side, use data-driven where you have enough conversions, add a self-reported source field, and judge channels on pipeline and revenue in your CRM. Long cycles and offline steps mean web attribution sees only part of the buying path.

  • Each platform credits itself for any conversion it touched, using its own rules and windows, so their totals overlap. Count leads once, as people in your lead record, and use attribution to compare channels rather than adding platform reports together.

  • Asking buyers directly how they heard about you, usually with a field on the form or a question in the first call. It catches referrals, events, podcasts and links shared privately, which tracking misses, and is especially useful in B2B where much of the buying path happens offline.

  • Yes. Our analytics team captures source on every lead, connects ad platforms, GA4 and your CRM, and reports channels on qualified leads, pipeline and revenue. We quote after reviewing your channels and CRM, and publish no rate card.

Sources

Each figure in this guide comes from one of these, read on the date shown.

  1. Google Analytics Help: attribution models, read 12 Nov 2026
  2. Google Analytics Help: Mark events as key events, read 12 Nov 2026
  3. Google Analytics Help: Link Google Ads and Analytics, read 12 Nov 2026

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