By
Maria Lerkin
July 18, 2024
•
6
min read
In the labyrinthine world of digital marketing, attribution is the holy grail, the elusive treasure that marketers seek to understand the true impact of their efforts. It's the art of giving credit where credit is due, of understanding which marketing channels and touchpoints are responsible for driving conversions. But like a cryptic riddle, attribution can be a perplexing puzzle, with multiple paths leading to the same destination. So, let's grab our magnifying glasses and embark on a quest to decipher the mysteries of multi-touch attribution.
Before we unravel the secrets of attribution, let's explore why it's such a conundrum in the first place.
The customer journey isn't a straight line; it's a winding path with twists, turns, and unexpected detours. Customers might discover your brand through a social media post, visit your website multiple times, read a few blog articles, and maybe even abandon their cart a time or two before finally making a purchase. Attributing that final conversion to a single touchpoint is like trying to solve a Rubik's Cube blindfolded - it's possible, but highly improbable.
In today's digital age, customers interact with brands across a multitude of channels, from social media and email to search engines and display ads. Each of these touchpoints plays a role in the customer journey, but determining their relative importance can be a real head-scratcher. It's like trying to untangle a plate of spaghetti - you know all the strands are connected, but figuring out which one is the most important is a messy affair.
Many marketers fall into the trap of attributing all credit to the last touchpoint before a conversion. This is known as the "last click" attribution model, and while it's simple and easy to understand, it's also woefully inaccurate. It's like giving all the credit for a symphony to the final note - sure, it's important, but it wouldn't exist without all the notes that came before it.
Fear not, fellow marketers, for there are tools and models at your disposal to help you crack the attribution code.
This model gives all the credit to the first touchpoint in the customer journey. It's like giving all the credit for a relay race to the first runner - they might get the team off to a good start, but they wouldn't win without the rest of the team.
As we mentioned earlier, this model gives all the credit to the last touchpoint before a conversion. While it's simple, it's also overly simplistic and doesn't accurately reflect the complexity of the customer journey. It's like giving all the credit for a meal to the dessert - sure, it's the last thing you eat, but it wouldn't be nearly as enjoyable without the appetizer, main course, and drinks that came before it.
This model spreads the credit equally across all touchpoints in the customer journey. It's like dividing a pizza into equal slices - everyone gets a piece, but no one gets a bigger slice than anyone else.
This model gives more credit to touchpoints that occur closer to the conversion. The logic is that recent interactions are more likely to influence a customer's decision to purchase. It's like a fading memory - the most recent events are the clearest in your mind.
The recency bias is a cognitive bias that leads us to give more weight to recent events or information. In the context of attribution, this means we tend to overvalue the last touchpoint before a conversion, even if earlier touchpoints played a significant role.
The most sophisticated approach to attribution involves creating custom models that are tailored to your specific business and marketing goals. This requires a deep understanding of your customers and their journey, as well as the ability to analyze data and draw meaningful insights. It's like having a tailor-made suit - it fits you perfectly and makes you look and feel your best.
Now that you have a better grasp on attribution, it's time to put that knowledge to work. After all, data is only valuable if it helps you make smarter decisions.
By understanding which channels are driving the most valuable conversions, you can allocate your budget more effectively. It's like playing Robin Hood with your marketing dollars - taking from the underperforming channels and giving to the high-performing ones. This can lead to a higher return on investment (ROI) and a more efficient marketing strategy overall.
Don't just throw money at every marketing channel and hope for the best. Use attribution data to identify which channels are most effective at each stage of the customer journey. This allows you to optimize your spending and focus your efforts where they'll have the biggest impact. It's like a chef adjusting the ingredients in a recipe to create the perfect dish - you want to use just the right amount of each ingredient to achieve the desired flavor.
In the movie "Moneyball," the Oakland A's used data to revolutionize baseball and build a winning team on a shoestring budget. You can apply the same principles to your marketing efforts. By using data to identify undervalued channels and tactics, you can outperform your competitors without breaking the bank.
Attribution data can also help you personalize the customer experience. By understanding how different customers interact with your brand, you can tailor your messaging and offers to their specific needs and interests. This can lead to increased engagement, higher conversion rates, and a more loyal customer base. It's like having a personal shopper for every single customer, guiding them towards the products they're most likely to love.
Attribution might seem like a complex and daunting task, but it doesn't have to be. Our team of ecommerce experts can help you navigate the attribution labyrinth, choose the right tools and models, and develop a data-driven marketing strategy that delivers real results. We'll help you understand your customers, optimize your campaigns, and ultimately, achieve your ecommerce goals. Contact us today for a free consultation and let us help you crack the attribution code.