When you run multi-channel marketing, every campaign wants credit for the sale. Linear attribution is the model that says: everyone gets a share.
Understanding how linear attribution works, when it helps, and where it falls short can sharpen how you interpret your marketing data — especially if you’re running attribution on WordPress.
What Is the Linear Attribution Model?
Linear attribution distributes credit for a conversion equally across every touchpoint in the customer journey.
If a lead touched five channels before converting — a Google ad, a blog post, a retargeting ad, a cold email, and a LinkedIn post — each one gets 20% of the credit.
It is one of the core multi-touch attribution models alongside time-decay, position-based, first-touch, and last-touch.
How Linear Attribution Works
Say a customer completes this journey before requesting a demo:
- Clicks a Google Search ad
- Reads a blog post two days later
- Sees a Facebook retargeting ad
- Opens a cold email
- Submits the demo form after clicking a LinkedIn post
Under linear attribution, each touchpoint receives 20% of the conversion credit.
What it tells you: every channel that touched this lead contributed. None is privileged as the “originator” or the “closer.”
That equal split is linear attribution’s main value — and its main limitation.
Linear Attribution vs Other Models
| Model | How credit is distributed |
|---|---|
| First-touch | 100% to the first touchpoint |
| Last-touch | 100% to the final touchpoint |
| Linear | Equal split across all touchpoints |
| Time-decay | More credit to touchpoints closer to conversion |
| Position-based (U-shaped) | 40% each to first and last, 20% split across middle |
| Data-driven | Machine learning distributes based on actual conversion patterns |
First-touch attribution tells you what drives awareness. Last-touch tells you what closes deals. Linear is the middle road: no channel is penalized, no channel gets outsized credit.
See the complete attribution modeling guide for a deeper comparison.
When Linear Attribution Is Useful
Linear attribution works best when:
All your channels genuinely contribute at every stage. If your marketing touchpoints span a long sales cycle and each channel (email, content, retargeting, paid search) plays a distinct supporting role, linear attribution reflects that contribution more honestly than single-touch models.
You are auditing channel coverage, not optimizing spend. Linear attribution answers “which channels are in the path?” rather than “which channel drives the final decision?” It is a diagnostic tool, not a budget-allocation tool.
You are moving away from last-touch without committing to a complex model. Linear is simpler to explain to clients and leadership than time-decay or position-based, and it still shows more nuance than any single-touch model.
Where Linear Attribution Falls Short
The equal-credit assumption is also its weakness:
- A newsletter touchpoint that barely nudged a lead gets the same credit as a high-intent search click the day before conversion.
- It under-rewards your best-performing channels and over-rewards passive ones.
- It gives you channel presence data, not channel impact data.
If you need to make real budget decisions, time-decay attribution or a position-based model typically provides more actionable signal because it weights the touches that matter most.
Linear Attribution on WordPress
Most WordPress marketers are stuck with single-touch data because their stack is stitched together: Google Ads sees one click, GA4 sees another session, the CRM sees only the form fill. There is no unified path.
To use any multi-touch model — including linear — you need to capture every touchpoint at the person level and tie them all to the same lead, not just the same session.
That means:
- Tracking the first anonymous touch when a visitor arrives (UTM source, referrer, campaign).
- Storing that data first-party so it survives cookie expiration and cross-session gaps.
- Associating every subsequent visit to the same person when they return.
- Tying the full path to the form submission (or phone call, or booked appointment).
- Pushing that data to your CRM or Google/Meta so you can close the loop to revenue.
Sales Provenance captures this path natively on WordPress. When a lead converts, the full touchpoint history — every source, campaign, and channel — is attached to that lead record. You can view it as first-touch, last-touch, or linear depending on what question you are answering.
For service businesses where the sale happens offline, that attribution path also gets pushed back to Google Ads as an offline conversion, so your Smart Bidding trains on real revenue, not just form submissions.
The Right Attribution Model Depends on the Question
Linear attribution is not better or worse than other models — it answers a different question.
| Question | Best model |
|---|---|
| Where does awareness come from? | First-touch |
| What closes deals? | Last-touch |
| Which channels are in the path? | Linear |
| Which recent channels push leads over the line? | Time-decay |
| What opens and closes the funnel? | Position-based |
| What actually drives conversions? | Data-driven (if you have volume) |
Use linear when you want to audit channel presence across a long buying cycle. Combine it with a closing-focused model (last-touch or time-decay) before cutting any channel from your mix.
Next Steps
- Read the attribution modeling overview to see all six models side by side.
- Compare time-decay vs position-based attribution for the most common multi-touch alternatives.
- See how Sales Provenance tracks multi-touch paths on WordPress without moving off your existing stack.