So you’ve carefully strategized each step of your customer interaction. Now, you’re looking to gauge how effective it is, and the impact it’s having on ROI. Sounds simple enough. But in reality, this is not always easy to do.
Enter customer journey attribution reporting—an intensive customser journey analysis approach. It involves assessing multiple touchpoints and marketing channels to track a specific conversion: be it an individual who is making their first purchase with you or someone who is downloading an ebook from your website.
In this article, we’ll take an in-depth look at customer journey attribution reporting. We’ll analyze its benefits and limitations, and see how it compares with marketing contribution.
An average customer doesn’t purchase a product on a whim. They go on a journey of interacting with your brand through multiple channels and touchpoints before making up their mind. And this journey isn’t the same for every customer.
For example, when you post an ad on Facebook, chances are some potential customers might fill up the registration form right after visiting your landing page. In the same vein, some might check out your social media and multiple other channels before making a decision.
And even when your marketing strategy works out in the end, the timelines can differ massively. Some customers might want to conduct heavy research before deciding to purchase. Others might end up making their first purchase after following you for a significant period.
That makes it difficult to understand which marketing actions lead to that specific conversion. Knowing what worked best is critical, especially when you’re on a tight marketing budget. This is where attribution reporting helps you see where to invest your marketing budget for the best ROI.
“It helps in understanding which marketing efforts are working and which aren’t, allowing for better allocation of resources. We’ve seen improved ROI, as we can fine-tune campaigns based on data-driven insights, and ultimately, it leads to a more personalized customer experience.”—Vladimir Terekhov, CEO at Attract Group
Overcoming the challenges of complex customer journeys with attribution
Here’s how customer journey attribution can help:
“Understand that customer journey attribution is not quite going to be an exact science. With so many different platforms and tools being in the mix, it will feel like you are stitching together a quilt from different fabric patches. But if you use the right tools, it can be easier to understand the behaviors in your journey and get a better understanding of your customers.”—Joe Carasin, Owner at Karasin PPC
The first model you can make use of as you aim to puzzle out attribution is the first touch model. This model attributes all of the conversion credit to the customer’s first-ever interaction with a brand. For example, if a customer finds you through search, SEO will get 100% conversion credit. This is regardless of whether the real conversion happens a month later through an offer you sent to them via email.
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Similar to the first touch attribution model, the last touch also credits one touchpoint for conversion. Except in this case, it’s given to the final touchpoint that directly leads to the sale.
Say a customer purchases a smartphone by clicking on a Facebook ad despite discovering the same phone through a Google search initially. In this case, the Facebook ad gets all the credit for the conversion.
It’s often a good idea to combine both first and last-touch models to gain a more comprehensive understanding of customer behavior and make more informed marketing decisions. Another option is to combine a last-touch and multi-touch model, as done by Attract Group:
“The main limitation is the complexity of tracking every interaction, especially with cross-device usage and offline touchpoints. To account for this, we use a combination of last-touch and multi-touch attribution models, depending on the campaign and the customer journey stage. We also incorporate qualitative data from customer feedback to fill in the gaps that quantitative data can’t cover,” says CEO Vladimir Terekhov.
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The linear attribution model assigns equal credits to all the touchpoints throughout the customer journey. For example, if a customer follows you through word-of-mouth marketing and then later decides to purchase from you after reading your blogs, both channels will get 50% credit each.
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In this model, you assign credit for conversion to the touchpoints that are closer in time to the conversion.
Consider this: A customer saw a display ad for your product three months ago. A month later, they found a review of your product on YouTube and ended up watching it. After that, they started following you on social media. About a week ago, they signed up for your email newsletter and ended up purchasing your product yesterday.
In this case, your email newsletter and social media will receive more credit for conversion than the display ad and YouTube review they initially saw.
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The position-based attribution model distributes the credit to all the touchpoints, including first, last, and intermediate touchpoints. Here’s how.
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Despite its benefits, the customer journey attribution approach has some flaws.
“Customer journey attribution is difficult for a few reasons. Sometimes it is hard to track across different devices (a customer clicks an ad on their desktop, then a few hours later makes a purchase from their mobile device, for example).
Customer journeys have also become much more complex, with even low-cost purchase decisions requiring more and more effort on the part of brands, and to make this harder, attribution models aren’t really helpful as each channel will have its own way of measuring conversions.
When analyzing customer journeys, you need to have a good way to incorporate clean data, which isn’t always easy to do.”—Joe Carasin, Owner at Karasin PPC
Given these limitations, instead of allocating your marketing resources by crediting individual touchpoints like the attribution model, you can try to measure the impact of your marketing efforts as a whole.
You can achieve this using marketing contribution. This concept is similar to attribution but focuses on customer behavior at each touchpoint, rather than conversion. Instead of asking, “Which sources lead to revenue?” contribution asks, “What patterns in behavior result in our desired outcome?”
Customer journey contribution is a broader concept that looks at the overall impact of marketing—the relative impact of different marketing efforts on conversion and revenue events.
While the attribution approach tells you where to spend your money and where you shouldn’t, contribution tells you this, and everything else that comes in between.
Attribution models can become complex, especially when dealing with multiple touchpoints and interactions. Marketing contribution simplifies the analysis by looking at the overall impact, making it easier for decision-makers to understand.
For example, imagine a retail chain planning its marketing budget for the upcoming year. They’d aim to allocate resources to high-impact marketing strategies. Depending on their goals and their customers’ needs, these strategies could be online advertising, in-store promotions, or a loyalty program.
While customer journey contribution is the clear winner when it comes to gaining a big-picture perspective and assessing the long-term impact of marketing efforts, it can still go hand in hand with attribution.
Particularly when dealing with long and complex sales cycles, attribution makes sense when looking to identify the effective touchpoints and see the contributions different marketing efforts make to your business’s bottom line.
Funnelytics helps you map this complex set of information on a visual canvas—so you don’t have to keep switching between tools to capture customer data. Visualize all parts of your customer journeys with ease, so you can move forward with an impactful and data-driven marketing strategy.
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Founder & CEO @ Funnelytics Inc.
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