Blog Post

Why Attribution Models Don’t Always Recognize the True Value of CRM Marketing

29 November 2024

Attribution models have become a cornerstone in digital marketing, helping businesses understand which touchpoints or channels contribute most to conversions and customer actions. These models are invaluable for evaluating the effectiveness of marketing campaigns and guiding future investments. However, when it comes to relationship marketing, attribution models can fall short in recognizing the true value of long-term customer relationships. Here’s why.


Understanding Attribution Models


Attribution models are used to determine how credit for sales and conversions is assigned to various marketing channels or touchpoints in a customer’s journey. Whether it’s a first-touch, last-touch, or multi-touch attribution model, these systems analyse customer interactions with your brand—such as ads, emails, social media, and website visits—to determine which efforts led to the final conversion.


While attribution models are great for measuring the immediate effectiveness of campaigns, they tend to focus on short-term actions and measurable outcomes like clicks and conversions. This approach works well for transaction-driven marketing campaigns but can overlook the more subtle, long-term influence of CRM Marketing strategies.


What is Relationship Marketing?


Relationship marketing goes beyond transactional interactions and focuses on building long-term connections with customers. The goal is to create a positive customer experience that fosters loyalty, trust, and engagement over time, ultimately leading to repeat purchases, referrals, and brand advocacy.


Rather than focusing solely on short-term sales, relationship marketing builds value through continuous communication, personalized offers, exceptional customer service, and other loyalty-building activities. It’s about nurturing customers throughout their journey, making them feel valued and understood.


Why Attribution Models Struggle to Recognise the True Value of Relationship Marketing


1. Short-Term Focus vs. Long-Term Relationships


Attribution models are built to track direct, measurable actions that lead to immediate conversions. For instance, a last-click attribution model will assign full credit to the final touchpoint before a sale (say, a paid search ad). While this works for short-term campaigns with clear conversion paths, it fails to account for the earlier interactions that might have built trust or influenced a customer’s decision to convert—especially those built through CRM Marketing efforts like email nurturing, loyalty programs, or customer service interactions.


Relationship marketing, by nature, is designed for long-term value. It’s about creating sustained engagement over time, not necessarily prompting an immediate action. However, attribution models may attribute success to the final marketing campaign, rather than recognizing the ongoing relationship-building that contributed to a customer’s decision.


2. Missed Impact of Non-Transactional Interactions


Attribution models typically prioritize direct transactions as key metrics of success, but relationship marketing involves non-transactional activities that nurture customer relationships in less measurable ways. For example, a customer might engage with your brand on social media, participate in a loyalty program, or receive a personalized email offering useful content. These actions don’t always result in immediate sales, but they create trust, increase brand loyalty, and keep your business top-of-mind for when the customer is ready to buy.


Unfortunately, traditional attribution models struggle to capture the true value of these “soft” touchpoints that don’t directly lead to a sale but contribute significantly to a customer’s overall perception of the brand.


3. Delayed Conversions


Relationship marketing often leads to delayed conversions, meaning the actions that result in a sale may happen long after a series of nurturing touchpoints. For instance, a customer might first engage with a brand through a social media post, then receive follow-up emails offering helpful advice, and maybe later call customer service to resolve a query. Eventually, they make a purchase, but it might not be directly linked to any of those earlier touchpoints.


Attribution models typically favour immediate conversions or the last action before a sale, overlooking the cumulative effect of relationship marketing. In reality, these earlier touchpoints play a critical role in shaping the customer’s decision-making process, but the value of those interactions is often lost in the attribution analysis.


4. Customer Loyalty and Retention Effects


Another challenge is that attribution models tend to focus on acquisition (getting new customers) rather than retention. Relationship marketing is all about fostering customer loyalty and repeat business, which is difficult to quantify in traditional attribution models.


The true value of relationship marketing lies in its ability to retain and nurture customers over time. Loyal customers not only spend more, but they’re also more likely to recommend your brand to others. Unfortunately, most attribution models fail to account for the lifetime value of a loyal customer or the compounding effect of positive customer relationships. In essence, relationship marketing pays dividends over time, but attribution models often fall short of capturing that long-term impact.


5. Complex and Multi-Channel Customer Journeys


In today’s omnichannel world, customers interact with brands across multiple platforms and devices before making a purchase decision. A potential buyer might discover a brand through an Instagram ad, browse on a mobile website, and eventually convert via an email offer on their desktop. At each stage, they are influenced by various touchpoints, some of which may be part of a relationship marketing strategy (such as personalized emails, loyalty rewards, or community engagement).


Traditional attribution models often struggle to track and assign proper value to interactions across different channels, especially when those interactions are not directly tied to an immediate transaction. Relationship marketing, which involves long-term, multichannel engagement, often gets reduced to a single touchpoint or excluded entirely from the attribution process.


The Need for a Holistic Approach to Attribution


Attribution models are invaluable tools for understanding how marketing efforts contribute to conversions, but they need to evolve to better recognize the full impact of relationship marketing. The focus should shift from simply attributing sales to last-click or specific touchpoints to understanding the holistic value of the customer journey.


To do this, businesses can:

1. Adopt Multi-Touch Attribution Models: Instead of focusing on one or two key touchpoints, multi-touch attribution gives more credit to all of the customer interactions that contributed to the conversion. This approach better recognizes the ongoing influence of relationship-building activities.

2. Incorporate Customer Lifetime Value (CLV) Metrics: Shift the focus from just immediate sales to long-term metrics like customer lifetime value and customer retention rates. Relationship marketing’s true value lies in nurturing repeat buyers and turning customers into advocates, which is harder to measure through traditional attribution.

3. Integrate Qualitative Insights: Relationship marketing often involves emotional connections, trust, and customer satisfaction, which are hard to quantify. Using customer surveys, net promoter scores (NPS), and sentiment analysis can help provide a clearer picture of how relationship-building efforts are influencing customer behaviour over time.

4. Use Advanced AI and Predictive Analytics: Advanced technologies like AI can help businesses predict customer behaviour more accurately, offering deeper insights into the value of relationship marketing efforts. These tools can track long-term engagement and give businesses a more comprehensive view of how relationship-building strategies impact customer behaviour.


Conclusion


While attribution models are invaluable for measuring short-term marketing success, they often fail to capture the long-term, non-transactional benefits of relationship marketing. CRM Marketing is about building lasting customer loyalty, creating trust, and fostering engagement—goals that are often difficult to quantify with traditional attribution methods.


To truly recognize the value of relationship marketing, businesses need to adopt more holistic, multi-touch, and customer-centric attribution models. By doing so, they can gain a deeper understanding of how nurturing long-term customer relationships contributes to sustainable growth, retention, and brand advocacy over time.


CRM MARKETING BLOGS

Customer Segmentation: Should You Start with Data or Qualitative Research?
5 December 2024
In this blog, we’ll explore the benefits and drawbacks of starting your segmentation process with customer data versus qualitative research, helping you determine the best path for your CRM Marketing strategy.
Why Open Rates Can No Longer Be Trusted as an Accurate Measure of Email Engagement
4 December 2024
Email open rates are becoming increasingly unreliable as a measure of engagement, it’s time to reconsider how we assess the effectiveness of email campaigns. Here’s why open rates no longer paint the full picture—and why businesses should start looking beyond this metric to truly understand how their emails are performing.
The Challenge of Measuring Always-On CRM Marketing Programmes
4 December 2024
In today’s hyper-connected world, always-on CRM Marketing has become a key strategy for brands looking to build long-lasting relationships with their customers. However, while the benefits of maintaining ongoing, personalised communication with customers are clear, measuring the effectiveness of these programs can be quite challenging.
High-Value Customers May Not Be Loyal – What to Do About It
4 December 2024
High-value customers may not always be loyal. In fact, some of your best spenders may be the ones most at risk of jumping ship. Why is that? And what can businesses do to ensure these high-value customers remain loyal and continue to drive revenue?
Is Share of Wallet the Best Indicator of Loyalty for UK Supermarkets?
4 December 2024
While share of wallet can offer valuable insights into purchasing behaviour and customer retention, the question remains: is it the best indicator of loyalty for UK supermarkets?
Can a Customer Truly Be Loyal, or Do We Need to Redefine What Loyalty Means?
4 December 2024
Gone are the days when a loyal customer was someone who bought from the same brand year after year, no matter what. The modern consumer has more options, more access to information, and more power than ever before. So, the question we need to ask ourselves is: Can a customer truly be loyal anymore? Or do we need to rethink what loyalty actually means?
The Single Customer View: The Holy Grail of CRM Marketing That Few Companies Achieve
4 December 2024
In this blog, we’ll explore why the Single Customer View {SCV} in CRM Marketing remains an elusive goal for many businesses, why it’s so important, and how companies can get closer to realising it.
Can a Customer Have a Relationship with a Bottle of Bleach? Exploring the Limits of CRM Marketing
4 December 2024
Can CRM Marketing truly work for all products, or are there limits to the types of products that can spark genuine emotional engagement? For instance, can a customer develop a relationship with something as utilitarian and seemingly impersonal as a bottle of bleach?
How to Use Multiple Channels (Not Just Email) in CRM Marketing
3 December 2024
In this blog, we’ll explore why it’s essential to go beyond email and how you can effectively incorporate a range of channels to engage customers, drive loyalty, and improve your overall marketing performance.
Why Excluding Single-Purchase Customers Gives a True Picture of a Company’s Customer Base
3 December 2024
In this blog, we’ll explore why excluding single-purchase customers is crucial for better insights and smarter business decisions. So-called single-purchase customers—those who buy once and never return—can distort the true picture of a company’s customer base.
Show More
Share by: