CLV as a Marketing Growth Strategy, with Russell McAthy
- CLV counts the full value a customer brings over their lifetime: repeat purchases, referrals, loyalty, and advocacy, not only the first order.
- Privacy regulation, cookie deprecation, and multi-touch journeys make traditional attribution models increasingly unreliable.
- Cohort analysis by acquisition channel, purchase behavior, or demographics shows which customer groups create the most value over time.
- Tactics that win in the short term can hurt lifetime value: constant discounts can train customers to buy only on discount.
- A CLV strategy does not drop acquisition; it points acquisition at high-value, loyal customers instead of the lowest CPA.
Customer lifetime value (CLV) becomes a growth strategy when you use it to make marketing decisions, instead of first-order ROI or last-click attribution. To get there, you need to fix attribution, analyze customers in cohorts, and balance short-term results against long-term growth. Then CLV tells you where to spend, who to spend on, and which customers to keep.
Perhaps one of the most prevalent challenges in the marketing world is having to prove the value of your efforts. C-levels and managers want to see tangible returns. The pressure to deliver can be overwhelming.
But what if you had a "secret weapon" in your arsenal, one that can transform the way you approach marketing and unlock unprecedented growth for your business?
You don't.
What you do have is a proven methodology that can help grow a business sustainably, a methodology not yet accepted as the norm in the industry: growing customer lifetime value.
This article looks at why CLV is the most coveted marketing metric and how you can use it to make better, more informed decisions. For the formulas and calculation itself, see the complete guide to customer lifetime value. This piece is about what you do with the number.
Why is CLV so powerful as a marketing metric?
CLV has been on the radar of marketing and finance teams for many years, yet people frequently fail to see its actual potential.
Some marketers regard it as "the holy grail." They have worked hard to understand this metric, and they believe that once they get it, they can use it as the foundation for all of their decisions.
Because it goes beyond the conventional focus on quick returns or last-touch attribution, CLV is incredibly potent. It looks at the big picture: the full value a customer brings to your business over their lifetime. This includes not just their initial purchase, but also any subsequent transactions, referrals, and the potential for long-term loyalty and advocacy.
You can make far better business decisions if you know the full lifetime value of your clients. You take a more dependable approach when you can decide based on factors other than the immediate return on investment.
You know that keeping customers is important; ideally, they return for more purchases. It is crucial to understand that putting short-term profits ahead of future sales potential can have negative effects.
How do you overcome attribution challenges?
Attribution comes with a major caveat: determining which marketing touchpoints and channels contribute to a customer's journey and eventual conversion.
Keep in mind that you operate in a world of data privacy regulations, cookie deprecation, and multi-touch customer journeys. In this context, traditional attribution models are becoming increasingly unreliable. (If you need a refresher on how rules-based models differ, see first-click vs last-click vs data-driven attribution.)
I believe that, for this particular issue in a digital-first business, the winning approach is a machine learning model that is trained on all touchpoints.
This smart attribution model considers user interactions and micro-events that happen during the customer journey, in addition to channels and touchpoints. By examining more detailed data, the model can give a far more reliable picture of which campaigns actually generate conversions and future income.
Building on that base, you reaffirm the value proposition and concentrate on the activities that result in multiple conversions and more income. Marketing management becomes simple and efficient when these components are fully integrated.
How does cohort analysis unlock CLV?
Think about it: you can't even breathe without someone telling you about the importance of knowing your audience and your customers. At the same time, you're told to be wary of the individualism and uniqueness of your customer base.
In this case, your safest bet is to segment your customer base into cohorts based on factors such as:
- acquisition channel,
- purchase behavior, or
- even demographics.
Only after segmentation can you be certain you'll extract accurate insights into how different groups of customers contribute to your business over time. Your future (smarter) decisions come from learning from the past and applying that knowledge to almost predict the future.
This cohort-based approach lets you identify your most valuable customer segments and tailor your marketing efforts accordingly. For instance, you may find that the CLV of clients you get through Google Ads is much higher than that of clients you get from other sources. With this information, you can reallocate resources away from less successful acquisition channels and concentrate on the high-performing one.
| Cohort dimension | What it reveals | How to act on it |
|---|---|---|
| Acquisition channel | Which channels bring customers who keep buying, not only customers who buy once | Shift budget toward channels whose cohorts show the highest CLV over time |
| Purchase behavior | How recency, frequency, and spend differ between groups (the basis of RFM segmentation) | Protect high-value segments; nudge first-time buyers toward a second order |
| First product bought | Which entry products lead to repeat purchases and which lead to one-time buyers | Promote strong entry products in acquisition; review weak ones with the product team |
| Demographics | Whether customer value varies by who the customer is or where they live | Use as a secondary cut once channel and behavior cohorts are clear |
For the mechanics of behavior-based segments, see the RFM segmentation guide.
How do you balance short-term and long-term growth?
The current emphasis among marketers is mostly on last-touch attribution and immediate rewards, which makes it challenging to defend investments in long-term strategy.
We're in a situation where we need to evaluate our approach. Take a moment to reflect on the actions we want to see in our audience. If we keep offering discounts, for instance, we can be training people to only buy when discounts are available.
The secret is to change your perspective from a narrow concentration on immediate results to a more comprehensive understanding of customer value.
Allocating your marketing budget and resources more strategically is another way to optimize your business model. Realizing your customers' true lifetime value is the natural starting point for this approach.
How can you use CLV to improve your marketing?
1. Rethink channel allocation
Somewhere along the road, marketing managers became "spending managers," hyper-focused on putting budget into Meta, Google, or TikTok.
However, there's a better approach: a CLV-oriented one. It shows you where to spend your money and who to spend it on.
CLV lets you understand the long-term value of customers acquired through different channels. With that understanding, you can make more informed decisions about where to invest your marketing budget. Channels that seemed less effective in the short term could prove to be powerful drivers of CLV.
2. Optimize the customer journey
The customer journey doesn't end when the product reaches the customer. It ends when the customer achieves the progress they were hoping to achieve with your help.
Until you understand the distinction, you shouldn't even dream about customer retention. (The idea of "progress" comes from the Jobs to Be Done school of thinking.)
This phase involves a cohort analysis of your customers to determine which touchpoints and experiences matter most for fostering loyalty and repeat business. Use that information to improve your customer journey and produce more engaging, personalized experiences that deliver tangible outcomes.
3. Give priority to customer retention
The obvious problem is that there's little use in gaining clients who don't come back.
CLV doesn't mean completely ignoring acquisition, but it does make room for tactics that protect and grow your most precious clientele. These could include individualized communications, loyalty plans, and special offers on products or services. For a full playbook, see customer retention strategy.
4. Make your products and services better
Marketing cannot fix a defective product.
By keeping a careful eye on the CLV of different customer categories, you get important insight into the features, products, or services your audience responds to most favorably. Use this data to inform your product roadmap so you keep improving the value you offer to clients.
5. More informed acquisition tactics
Knowing the true lifetime value of your clients leads to strategic decisions about your customer acquisition efforts.
Think about it: isn't prioritizing the channels and campaigns that draw in high-value, loyal customers a better option than concentrating only on the lowest CPA? (More on this trade-off in how to optimize customer acquisition cost.)
What does a CLV-driven mentality look like?
Customer lifetime value ultimately has the capacity to change the way you think about your company and your clients.
Growth can be unlocked by rejecting a limited focus on short-term measures and adopting a more comprehensive, long-term perspective.
This is why lifetime value is regarded as the gold standard of metrics: tracking it and analyzing it by customer segment lets you make better decisions. It goes beyond basic conversion numbers to give a more comprehensive picture of overall customer behavior.
To put it succinctly, adopting CLV means making data-driven decisions instead of continuing to guess.
Frequently Asked Questions
It means you judge marketing by the full value a customer brings over their lifetime, not by the first order or the last click. That value includes repeat purchases, referrals, and long-term loyalty and advocacy. Budget, channel, retention, and acquisition decisions then follow the customers who are worth the most over time.
Immediate ROI and last-touch attribution only see the first transaction. CLV sees the whole relationship. A channel or campaign that looks weak on first-order return can bring customers who buy again and again, and a cheap channel can bring customers who never come back. Deciding on lifetime value is the more dependable method.
Data privacy regulations, cookie deprecation, and multi-touch customer journeys all remove or fragment the signals that rules-based models such as last click depend on. The model then credits the wrong touchpoints. Russell McAthy argues that, for a digital-first business, a machine learning model trained on all touchpoints and micro-events gives a far more reliable picture.
Cohort analysis groups customers by a shared trait, such as acquisition channel, purchase behavior, or demographics, and tracks each group's value over time. It shows which groups contribute the most to the business, so you can move budget toward the channels and segments that bring high-CLV customers and away from those that do not.
Look at the behavior your tactics teach customers, not only the revenue they bring this month. Constant discounts, for example, can train people to buy only when there is a discount. Keep acquisition running, but judge it against lifetime value and allocate budget to the activity that grows value over time.
No. CLV does not mean ignoring acquisition. It changes what acquisition aims for: channels and campaigns that bring in high-value, loyal customers instead of only the lowest cost per acquisition. It also makes room for retention tactics that protect and grow your most valuable customers.
No. Marketing cannot fix a defective product. Tracking CLV by customer segment shows which products, features, or services customers respond to most, and that data should feed the product roadmap so the value you offer keeps improving.
A common simple formula is average order value multiplied by purchase frequency multiplied by customer lifespan, often adjusted for gross margin. For a strategy, the calculation matters less than the cut: compare CLV by cohort and channel. The Omniconvert guide to customer lifetime value covers the formulas and worked examples in detail.
Overcoming attribution issues, embracing cohort analysis, and balancing short-term and long-term thinking are critical to unlocking the full potential of CLV. Built into your marketing strategy, they help you optimize channel allocation, improve the customer journey, and make better acquisition decisions. This does not necessarily mean getting higher-value customers at a lower cost. It does mean you will attract higher-quality customers and create an environment in which they are more inclined to stay with your company. Adopting CLV is a constant process, but the rewards are well worth the effort.
Make CLV the basis of your marketing decisions
Nexus by Omniconvert calculates CLV by RFM segment and cohort, shows which acquisition channels bring your most valuable customers, and pushes those segments directly to Meta Ads, Google Ads, and Klaviyo.