Marketing attribution is how marketers determine which customer journey touchpoints were responsible for achieving a goal (requesting a quote, making a sale, etc.). These touchpoints could be online ads, email newsletters, or any other marketing interaction.
With attribution data, marketers can understand what's working, optimize campaigns, and earn a greater ROI for their clients.
This article covers the basics of this foundational marketing principle:
Marketing attribution is simply giving specific marketing interactions credit for reaching a goal.
Was it your Google ad that led to a sale? The weekly newsletter? Or was it an especially informative blog post?
Attribution data lets you see which touchpoints are driving action and which aren't.
A few ways you can quantify marketing attribution are:
The best way for marketing agencies to show value is by putting their attribution in terms of revenue or quote value. However, the main focus should be on your data speaking your client's language of success.
That said, it isn't always clear which marketing deserves the attribution credit. Should it be where a lead first interacted with your marketing? Or where they actually converted? What about all the touchpoints in between?
For example, if you look in the WhatConverts Lead Manager, you'll see that many leads have customer journeys with tons of touchpoints spanning a long timeline.
Like this:
So which of these 30 touchpoints should get credit? This is where things can get tricky.
That's why marketers use different models to apply attribution credit:
More on the pros and cons of these models in a bit.
To be effective at their jobs, marketers need to understand who leads are, where they came from, and what they want. Marketing attribution lets you see the "where".
Beyond just the "where" though, proper marketing attribution is a must for a few other reasons.
How do you measure marketing attribution?
With a single touchpoint (e.g., a Google Ad that leads directly to a sale), attribution is simple—any sale should be attributed to that touchpoint.
But things get a little trickier when the customer journey is more complex.
For example, if a lead…
…which of these touchpoints should get credit for the conversion?
That's where attribution models come in.
Let's look at some of the most popular, along with pros/cons and use cases for each.
Also known as "first touch" or "first interaction attribution," first click attribution gives full credit to the first piece of marketing a visitor touches before becoming a lead.
So take the customer journey of the lead below shown inside WhatConverts.
You can see:
In this situation, the Google ad would get credit for the conversion since it was the first interaction the lead had with our marketing.
Pros | Cons |
Great for showing value of your marketing (this piece started the customer journey) | Doesn't provide insights on full customer journey (just the first step) |
When to Use the First Click Attribution Model
When you want to see which marketing is best at bringing new visitors into your pipeline.\
With last click, the last piece of marketing a visitor touches before converting gets all the credit.
So in the instance below…
The "/pricing" page would get full attribution for the lead because it was the last page a visitor was on before converting to a lead.
Pros | Cons |
Useful for getting conversion insights | Also ignores the full customer journey (leads could have interacted with 15 different pages before converting) |
When to Use the Last Click Attribution Model
When you want to see which marketing is best at converting visitors to leads.
Linear attribution gives equal weight to all touchpoints on the customer journey.
So if a visitor…
…each of those marketing steps will receive 25% of the attribution credit.
Linear attribution is a type of multi-touch attribution model, which gives weight to more than one touchpoint.
Pros | Cons |
An easy-to-use model that accounts for the full customer journey | Since all touchpoints are valued the same, offers little optimization opportunities for specific outcomes (e.g., conversion, lead gen, etc.) |
When to Use the Linear Attribution Model
When you want to give credit to multiple marketing touchpoints on the customer journey (a.k.a. multi-touch attribution) in a simple, easy-to-understand way.
Another type of multi-touch attribution, time-decay gives more credit to touchpoints closer to the conversion.
In the example above, the breakdown of attribution credit might look like this:
So whereas linear attribution gives equal credit to every marketing touchpoint, time decay favors touchpoints that are further down the funnel.
Pros | Cons |
May be the best model for conversion optimization | Minimizes the importance of the first marketing touchpoint |
When to Use the Time Decay Model
When you want multi-touch attribution that favors high-converting marketing over marketing that brings in new leads.
This model is similar to the last click model, but ignores direct traffic.
For example, say a picture-perfect potential customer clicks on your ad, browses through your Pricing page, and then clicks off your site.
A week later, she types in your site URL and converts right on your homepage.
With last click attribution, your homepage would get the attribution credit because that's where the visitor converted.
But without the pricing page, she never would have returned to your site in the first place.
In this scenario, the last non-direct attribution model would give your Pricing page credit, not the homepage.
You can see the difference in the WhatConverts Lead Manager.
Last Click Attribution
See all those "(direct)" and "(none)" instances under Source and Medium?
Now let's look at when we change the attribution model.
Last Non-Direct Attribution
Pros | Cons |
Lets you see which marketing led to conversions without being distracted by direct traffic | Still overlooks the importance of multiple touchpoints in the customer journey |
When to Use the Last Non-Direct Model
When you want to identify which marketing influences conversion for visitors but want to exclude direct traffic.
Also known as "U-shaped attribution," position based attribution strikes a happy medium between first click, last click, and multi-touch attribution models.
It values the first and last click equally (usually 40% each) and splits the remaining 20% among the in-between touchpoints.
This highlights marketing that brought leads in, drove conversions, and nurtured prospects along the way.
So with the earlier example, a position based model would assign credit like this:
Pros | Cons |
Multi-touch attribution; favors both the top and bottom of the funnel | May undervalue critical touchpoints between the first and last click (e.g., remarketing campaigns, email nurture cycles, etc.) |
When to Use the First Click Model
When you want a multi-touch model that favors both top and bottom funnel marketing.
As you can see, there are pros and cons to every marketing attribution model. And the insights you can get from each will vary.
So, why not use multiple models instead?
In WhatConverts, you can compare results from different models in both the Lead Manager and in your reporting.
Lead Manager
Reporting
Doing so in reporting is especially useful because you can see different attribution models side by side.
So if I wanted to see which lead source was the best at bringing in leads (first click attribution) versus which was the best at converting those leads (last click attribution), I could compare the two models and see something like this:
With a report like this, you could get insights like:
Don't feel tied down by any one marketing attribution model. Instead, use them together to get the insights you need to make better marketing decisions.
Having accurate attribution data is essential for marketers.
Without it, you can't:
And while there are many different models to choose from, the best approach is using multiple alongside one another—not sticking with only one.
Ready to get more from your first-party data? Try WhatConverts for free for 14 days!
Alex Thompson is a professional copywriter and content writer with a passion for turning complex ideas into digestible, educational content that keeps readers engaged. He specializes in content marketing, SEO, and B2B marketing.
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