Chances are, your customers have more than one touchpoint between their first interaction with your brand and their eventual purchase. While a strategy like first- or last-touch attribution might work for smaller companies with immediate conversion paths (e.g., an Amazon FBA brand), more complex purchase journeys require a more sophisticated approach.
That’s when you turn to the multi-channel attribution model.
What is multi-channel attribution?
Multi-channel attribution is the practice of assigning value to multiple touchpoints in the customer journey. This can include everything from a Google search, to viewing an ad on social media, clicking a link in an email, and ultimately making a purchase.
Unlike single-point attribution models (e.g., first-touch or last-touch), multi-channel attribution distributes credit among all touchpoints that influenced the customer’s decision to convert. The goal is to accurately understand which marketing channels are driving conversions and how they work together to achieve results.
By analyzing how each touchpoint influences the customer’s path to conversion, multi-channel attribution provides a more nuanced view of marketing effectiveness. It allows you to better understand which channels and strategies are working well and how they interact with each other to drive conversions.
Types of multi-channel attribution
Multi-channel attribution encompasses various models that assign credit to different marketing channels and touchpoints throughout a customer’s journey. These models can range from simple rule-based to complex algorithmic approaches, each with its unique way of distributing credit among touchpoints.
Here’s an overview of the key types:
- Linear attribution distributes credit evenly across all touchpoints in the customer journey, treating each interaction as equally influential in the conversion process.
- Time decay attribution assigns more credit to touchpoints that occur closer to the conversion, under the assumption that these later interactions are more influential.
- U-shaped (position-based) attribution gives 40% of the credit to key touchpoints, typically the first and last interactions, while distributing the remaining 20% credit among the touchpoints in between. The idea is to emphasize the importance of the initial engagement and the lead conversion event while acknowledging the role of middle touchpoints.
- W-shaped attribution is similar to the U-shaped model but adds additional emphasis to a significant middle interaction, where a lead becomes an opportunity. It assigns 30% credit to the first interaction, the opportunity creation, and the last interaction before the sale, with the remaining 10% distributed among other touchpoints.
- Fractional attribution uses machine learning to analyze all touchpoints and assign fractional credit to each based on their impact on the conversion. It offers a highly nuanced view of how each interaction contributes to the end goal.
- Incremental attribution focuses on the incremental impact of each touchpoint, measuring the lift that each interaction provides to the conversion rate. It helps determine not just where to allocate budget, but also how much to allocate by identifying the most effective campaigns, creatives, and placements.
Why is multi-channel attribution important?
Without proper multi-channel attribution, it can be challenging to understand the true performance of your marketing efforts. Single-point attribution models like first-click or last-click tend to overvalue certain touchpoints, such as the first one that introduces the customer to your brand or the final one that leads to a conversion.
By not considering all touchpoints in between, you miss out on valuable insights and potentially misassign credit for conversions. This can lead to inaccurate data and ineffective decision-making when it comes to allocating your marketing budget.
Multi-channel attribution, on the other hand, offers a more comprehensive and accurate view of how each touchpoint contributes to conversions. It allows you to optimize campaigns by understanding which channels and strategies are working together to drive results and where adjustments should be made for maximum impact.
How to set up multi-touch attribution
Setting up multi-touch attribution can be complex, but we’ll provide a simplified step-by-step guide to help you understand the process:
1. Define your goals.
Before diving into multi-touch attribution, clearly define what you want to achieve. Are you looking to understand which channels drive awareness, engagement, conversions, or all of the above?
2. Gather your data.
Collect data from all your marketing channels. This includes web analytics, CRM data, advertising platforms, email marketing systems, social media analytics, and any other relevant sources.
3. Choose an attribution model.
Decide on the multi-touch attribution model that best suits your business needs. This will primarily depend on the complexity of your customer journey and the nature of your business. A SaaS company, for instance, might use W-shaped attribution because of the way its sales cycle is structured (there are clear milestones for opportunity creation).
4. Implement a tracking mechanism.
Ensure you have proper tracking in place across all your channels. Use UTM parameters for digital campaigns to track the source, medium, campaign, content, and keywords. This will allow you to attribute conversions back to the specific touchpoints.
5. Integrate your data.
Consolidate data from different sources into a central platform where you can analyze it. This might involve using a customer data platform (CDP), marketing attribution software, or a robust analytics tool like Google Analytics.
6. Analyze and assign credit.
Apply your chosen attribution model to distribute credit among the touchpoints. This can be done manually if you have a simple setup and are using a straightforward model like linear or time decay. For more complex models like fractional or W-shaped, you’ll need specialized software that can process large datasets and apply sophisticated algorithms.
Final thoughts
Multi-channel attribution is crucial for marketing teams with multiple touchpoints. It provides a better understanding of how channels and tactics drive conversions, enabling data-driven decision-making for optimized campaigns. Implementing proper attribution helps identify effective marketing efforts and improve ROI.
