Linear Attribution Model Example: How to Apply It in Salesforce & HubSpot

A linear attribution model splits the credit for a deal equally across every touchpoint that led to it. Four touchpoints on a €12,000 deal earn €3,000 each, whether the touch was a Google Ads click or a demo request.

That simplicity is the point. Linear attribution won’t tell you which campaign mattered most. It does give finance a split they can check with a calculator. Content teams also get back the credit that last-touch reporting takes away.

New to the model? Our linear attribution model guide covers the basics. This article is the hands-on version, with worked examples and the exact settings in Salesforce and HubSpot.

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What Is Linear Attribution? (And How Does It Calculate Credit?)

Linear attribution distributes conversion credit equally across all touchpoints in a customer journey. No weighting. No favoritism. Every interaction gets the same slice of the pie.

The formula couldn't be simpler:

Revenue Credit = Opportunity Value ÷ Number of Touchpoints

Consider a €12,000 deal with four touchpoints. Each touchpoint receives €3,000 in credit. A prospect who clicked a Google Ad, read your blog, downloaded a whitepaper, and booked a demo? Each of those interactions earns 25% of the revenue.

Salesforce calls the same model Even Distribution. It’s one of the extra Campaign Influence models that come with Account Engagement. Sales Cloud on its own doesn’t include it. Teams without Account Engagement can rebuild the even split as a custom model.

Why does this matter? Because when your CFO asks which campaign drove that enterprise deal, you can point to data rather than gut instinct. Linear attribution won't tell you which touchpoint mattered most. But it will show you that every touchpoint mattered equally in the eyes of the model.

3 Linear Attribution Examples for B2B Marketing

Theory only gets you so far. Let's look at how linear attribution plays out in real B2B scenarios with actual revenue figures.

Example 1: Standard B2B Digital Journey (4 Touchpoints)

Scenario: A SaaS marketing intelligence platform closes a €12,000 annual deal. The prospect interacted with four marketing touchpoints before converting.

What this reveals: Linear attribution ensures your SEO content and nurturing campaigns receive the same credit as paid ads. For content teams fighting to justify investment, this visibility is invaluable. Your blog post didn't just "support" the deal. It earned €3,000 of credit.

The limitation: That initial ad click receives identical weight to the demo booking. Yet intuitively, we know someone requesting a demo signals stronger intent than someone clicking an ad. Linear attribution treats them as equals.

Example 2: Long B2B Sales Cycle with Offline Conversion (5 Touchpoints)

Scenario: An enterprise marketing platform closes a €20,000 deal after a six month sales cycle. The journey spans both digital and offline touchpoints.

What this reveals: CMOs defending organic investment love this view. That initial SEO visit? It contributed €4,000 to a €20,000 deal. Without linear attribution, first touch credit might vanish entirely in a long sales cycle.

The limitation: The model treats a passive blog visit and an active sales conversation as equivalent contributions. Most sales leaders would argue that their demo meeting carried more weight than a prospect skimming an article. Linear attribution disagrees.

Example 3: Salesforce Campaign Influence Setup (Even Distribution)

Scenario: Three Salesforce Campaigns influence a single Opportunity worth €5,000 in first year revenue.

Critical prerequisite: This example only works if your team maintains Contact Roles on every Opportunity. Here's what trips up most Salesforce orgs: if your Decision Maker isn't linked to the Opportunity via their Contact Role, their associated Campaign receives zero influence credit. Even with linear attribution enabled.

The system relies on the relationship between Contact Roles and Campaign Members. Break that link, and your attribution data falls apart.

Campaign Influence only credits campaigns a contact belongs to. An SEO visit or an ad click before the form fill never becomes a campaign membership. Even Distribution has nothing to give a share to.

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When to Use Linear Attribution (And When to Avoid It)

Linear attribution isn't universally right or wrong. It's right for specific situations and wrong for others. Here's how to decide.

Use linear attribution when:

You're early in attribution maturity. If your team has never measured multi-touch attribution, linear offers a simple starting point. The math is defensible. The logic is easy to explain. Start here before graduating to weighted models.

Your sales cycle involves many touchpoints with unclear importance. When you genuinely don't know which interactions matter most, equal distribution makes sense. Better to credit everything equally than guess wrong about weights.

You want mid-funnel content to receive credit. Linear attribution protects your SEO team, your content writers, and your nurturing campaigns from being overshadowed by paid acquisition. If proving content ROI matters to your organization, this model delivers.

Your team lacks bandwidth for custom models. Maintaining weighted attribution models requires ongoing analysis and adjustment. Linear attribution runs itself. Set it once and let it calculate.

Avoid linear attribution when:

You have clear evidence that certain touchpoints outperform others. If your data shows demo requests convert at 10x the rate of whitepaper downloads, treating them equally misrepresents reality. Consider W-shaped or custom models instead.

Your sales cycle is short. One or two touchpoints don't need equal distribution. Last click attribution tells you what you need to know in a direct response scenario.

You need to prioritize budget toward high-impact channels. Linear attribution won't surface your best performers. It treats a viral LinkedIn post and a forgettable banner ad as equals. For optimization decisions, you need models that differentiate.

You're running complex ABM plays. Account-based marketing often requires position-based models that weight first touch and opportunity creation more heavily. Linear attribution ignores these strategic milestones.

The decision framework

Ask yourself one question: What's my primary goal?

If you want every channel to show up in revenue reports, linear attribution does that job well. Moving budget toward your best channels is a different job. For that, use a weighted multi-touch model such as W-shaped, or a data-driven model once you have enough closed deals to train it.

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Linear Attribution vs. Other Models: A Quick Comparison

Words only go so far. Let's see how the same €12,000 deal with four touchpoints looks under different attribution models.

Notice how dramatically the numbers shift. Under first-touch, your SEO blog and whitepaper earn nothing. This highlights the fundamental difference between first-touch and multi-touch attribution approaches. Under time decay, your paid ad receives the least credit because it happened earliest. Under W-shaped, key conversion moments receive boosted weight.

Linear attribution gives every touch the same share, which makes it the easiest model to defend in a budget review. W-shaped suits B2B teams that track lead creation and opportunity creation reliably, because it weights those two milestones. Still unsure? Our guide to choosing the best attribution model for B2B SaaS walks through the decision criteria.

The Pre-Lead Tracking Gap (What Salesforce & HubSpot Don't Show You)

Native CRM attribution can only split credit across touchpoints the CRM recorded. In Salesforce, that usually means touchpoints after a lead exists.

Think about what that means. A prospect visits your website five times via organic search. They click three paid ads across two weeks. They watch your YouTube video. Then, finally, they fill out a form.

What does Salesforce Campaign Influence see? The form submission. That's it.

HubSpot does better here. Its tracking code logs website visits before a contact exists and attaches them once the visitor converts, as long as the visits came from a browser HubSpot already recognizes. Research done on another device still won’t appear.

For long B2B sales cycles, that blind spot is large. 6sense’s 2025 Buyer Experience Report surveyed nearly 4,000 B2B buyers and found they first contact a seller 61% of the way through their buying journey. Most of that research leaves no trace in Salesforce.

What this means for linear attribution: The model can only distribute credit among touchpoints it knows about. If pre-lead touches aren't captured, they're excluded from the equation entirely. Your linear attribution report might show three touchpoints earning 33% each. But in reality, there were eight touchpoints. Five of them simply don't exist in your data.

To get a complete picture, you need technology that captures anonymous touchpoints through UTMs, page visits, and ad clicks. Then stitches that data to the lead record at conversion. Without it, you're running attribution on incomplete information.

Heeet records touchpoints before and after conversion and stores them in Salesforce or HubSpot. A linear model can then split credit across visits and ad clicks the CRM never logged on its own. Our guide to cookieless tracking explains how that data gets captured.

Setting Up Linear Attribution in Your CRM

Salesforce Campaign Influence

Salesforce calls linear attribution Even Distribution. It’s one of the Additional Campaign Influence Models, which need Account Engagement alongside Sales Cloud. To turn it on:

1. In Setup, search for Campaign Influence Settings and enable Campaign Influence
2. Edit the settings again and turn on Additional Campaign Influence Models (if you don’t see the option, ask your Salesforce account executive to provision it)
3. Open Model Settings, activate Even Distribution, and make it the default model if you want it in standard reports
4. Add the Campaign Influence related list to your Opportunity and Campaign page layouts

No Account Engagement? You can still recreate an even split as a custom model. You’ll have to populate the influence records yourself with Flow, Apex or the API.

The critical step most teams miss: Ensure every Opportunity has proper Contact Roles assigned. Without Contact Roles linking Contacts to Opportunities, Campaign Influence has no way to connect Campaign Members to revenue. Your reports will show blanks.

For a full walkthrough, see how to set up Campaign Influence in Salesforce. The pros and cons of Salesforce Campaign Influence and our Salesforce marketing attribution guide cover the wider picture.

HubSpot Attribution Reporting

HubSpot includes Linear as a standard model in its attribution reports. Contact Create Attribution reports come with Marketing Hub Professional. Deal Create and Deal Revenue Attribution need Marketing Hub Enterprise.

1. Go to Reporting > Reports and click Create report
2. Choose Attribution report, then pick the Contacts, Deals or Revenue data source
3. Set the attribution model to Linear
4. Add dimensions and filters, then save the report

HubSpot’s linear model splits credit evenly across every interaction on the contact’s conversion path. That path starts with the first visit HubSpot’s tracking code recorded. Earlier research on other devices or third-party sites stays outside the model.

Linear attribution FAQ

What is a linear attribution model?

A linear attribution model gives every touchpoint in a buyer’s journey an equal share of the credit for a conversion or deal. Four touchpoints on a €12,000 deal earn €3,000 each.

Is linear attribution the same as Even Distribution in Salesforce?

Yes. Salesforce calls it Even Distribution. It’s one of the Additional Campaign Influence Models, which need Account Engagement alongside Sales Cloud.

Does HubSpot support linear attribution?

Yes. Linear is a standard model in HubSpot attribution reports. Contact Create reports come with Marketing Hub Professional. Deal Create and Deal Revenue reports need Enterprise.

When shouldn’t you use linear attribution?

Skip it when some touchpoints clearly convert better than others, or when deals close after one or two touches. A weighted model such as W-shaped fits better there.

Is linear attribution the right model for your team?

Linear attribution gives you a defensible, easy-to-explain view of how several touchpoints add up to revenue. That’s often enough to get marketing and finance reading the same report.

The model works best when you want every channel visible in pipeline reports. It struggles when you need to rank your top performers. And in Salesforce especially, it misses the anonymous research that happens before lead creation unless something else records it.

For most B2B marketing teams, linear attribution serves as an excellent starting point. It protects mid-funnel content from being overlooked. It gives every campaign a fair shot at proving value. And it provides numbers you can confidently share with finance.

Ready to move beyond guesswork? Start by enabling Even Distribution in Salesforce or Linear in HubSpot. Run reports for your closed-won opportunities. See which campaigns consistently appear across multiple deals.

Then ask yourself: is equal distribution telling the whole story? Or do certain touchpoints deserve more credit than others?

That question will guide your next step toward attribution maturity.

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