Understanding and implementing proper attribution models for marketing is crucial for success.
In today’s complex digital landscape, where customer journeys involve multiple touch points and interactions across various channels, attribution modelling has become an essential tool for marketers to accurately measure the effectiveness of their campaigns.
There are numerous ways in which attribution is – well – attributed.
We’re going to focus on two: the multi-touch attribution model and marketing mix modelling.
What is Multi-Touch Attribution Modelling?
In simple terms, attribution modelling is the process of assigning credit or value to different marketing touch points that contribute to a conversion. It helps marketers understand which channels and campaigns are driving the most conversions and revenue.
For example, if a customer first discovers your brand through a Facebook ad, then later sees a Google ad and makes a purchase, attribution modelling would analyse the impact of both of these touch points in the customer’s journey to conversion.
What Channels Can Be Included in Attribution Modelling?
- Social media ads
- Paid search (Google Ads)
- Display/banner ads
- Email marketing campaigns
- Organic search (SEO)
- Direct Mail
- Doordrops
Indirect channels can also be included in attribution modelling, such as:
- TV commercials
- Print ads
- Radio ads
For this to be possible, Econometrics (or MMM) must be used.
Why is Attribution Modelling Important?
Effective attribution modelling allows marketers to make data-driven media buying decisions and allocate their budget more efficiently. By understanding which channels and campaigns are most effective, marketers can optimise their strategies to drive better results.
Moreover, attribution modelling also helps in identifying and eliminating any ineffective or underperforming marketing efforts. This not only saves time and resources but also ensures a higher marketing ROI.
Plus, having a better understanding of how customers behave and interact with different touch points can also help in creating more targeted and personalised marketing campaigns.
By neglecting proper attribution modelling, marketers risk wasting valuable resources and missing out on potential conversions.
Why Marketing Attribution is a Critical Success Factor
Types of Attribution Models
We have an entirely separate article delving into the different theories behind attribution, but in this article, we’ll briefly discuss two commonly used models: multi-touch attribution and marketing mix modelling.
Multi-Touch Attribution Model
The multi-touch attribution model assigns weighted ‘credit’ to all the touch points leading up to a conversion.
For example…A customer sees an Instagram ad, clicks on it but decides not to make a purchase. Later, they see and click on a Google ad and revisit the next day by directly typing in the website URL and making a purchase.
The multi-touch attribution model would credit all touch points involved in this customer journey: Instagram ad, Google ad, and direct visit.
There are different variations of the multi-touch attribution model, some of which include:
- Linear Attribution: Every touch point receives equal credit for a conversion.
- Time Decay Attribution: The touch points closest to the conversion receive more credit.
- U-Shaped Attribution: The first and last touch points receive higher credit, with the remaining evenly distributed among the middle touch points.
Here at UniFida, we use a time-based attribution model that assigns credit the closer a touch point is to the next touch point or to conversion. When combined with machine learning, this method produces near-real-time results, making it easier to optimise campaigns and budgets.
In short, multi-touch attribution allows for a more holistic understanding of the customer journey and how different touch points impact conversions.
Learn Multi-Touch Marketing Attribution Theory & Models In 10 Minutes
Marketing Mix Modelling
Marketing mix modelling (MMM) is also known as Econometric modelling. Unlike the multi-touch model, MMM takes into account both indirect and direct marketing channels alongside external factors like seasonality and economic conditions.
It uses statistical techniques to analyse historical data and measure the impact of different marketing channels on sales.
Machine learning algorithms are also often incorporated to improve the accuracy and efficiency of MMM, much like in the UniFida Marketing Attribution solution.
For example, MMM would consider not only the Instagram and Google ads from the previous example but also factors like TV commercials and seasonality to determine their impact on sales and conversions.
For large companies that use a combination of direct and indirect marketing channels, MMM can provide a more accurate and comprehensive understanding of their overall marketing performance.
2024 Marketing Attribution Trends to Monitor & Implement Into Next Year & Beyond
What is the Problem with Other Attribution Models?
When we compare both MTA and MMM to traditional attribution models like first-touch or last-click, the problem becomes apparent – they only give credit to one touch point.
First-touch only considers the initial interaction a customer has with a brand, while last-click attributes all credit to the final touch point before conversion.
This simplistic approach fails to capture the complexity of today’s customer journeys and often leads to overvaluing or undervaluing certain touch points.
Moreover, traditional attribution models do not take into account external factors like seasonality or offline marketing efforts, making them even less accurate.
While these may be somewhat appropriate for small startups with simple marketing strategies, they are not suitable for companies with diverse and complex customer journeys.
What is the Most Accurate Attribution Model for Marketing?
Therefore, the most accurate attribution model for marketing is a combination of multi-touch attribution and marketing mix modelling, a thoroughly data-driven approach.
By using machine learning and advanced analytics, this model takes into account all touch points and external factors to provide a more accurate understanding of marketing performance.
Our attribution solution is based on this approach, allowing businesses to accurately measure their marketing efforts and make data-driven decisions for better results.
Download our Free Marketing Attribution eBook
How is Attribution Modelling Implemented?
Implementing attribution modelling can be complex and time-consuming, especially for companies with multiple marketing channels and complex customer journeys.
It requires a considerable amount of data collection, integration, and analysis, needing dedicated time and resources. Neither of which are readily available in the majority of today’s marketing teams.
But, with the help of advanced analytics platforms and attribution solutions, marketers can streamline this process and get actionable insights in near-real-time.
Our attribution covers indirect and direct online and offline channels, combining MMM and MTA into a single solution tailored to your business.
Our algorithms are trained on your data as opposed to generalised data models, making it an incredibly accurate and efficient solution.
Conclusion
Attribution modelling is a crucial aspect of modern marketing that cannot be ignored. It allows businesses to accurately measure the impact of their marketing efforts and make data-driven decisions for better results.
By understanding the different types of attribution models and their advantages, businesses can choose the most suitable model for their needs.
Moreover, with the help of advanced analytics and attribution solutions, implementing attribution modelling can be made more efficient and accurate.
Want to learn more about how our attribution solution can help your business? Contact us today and we’ll be more than happy to talk you through it.
FAQs
Jo is a leading expert in the field of marketing measurement, particularly in integrating marketing attribution and econometrics for holistic customer journey mapping and optimised marketing returns. Jo actively promotes best practices in media measurement and sustainable marketing within the wider business community. Jo co-wrote the marketing attribution book ‘The key to proving the true value of marketing’.
