In today’s marketing world, measuring performance has never been more complex, or more crucial. Rising customer acquisition costs, AI-driven campaigns, and shifting consumer behaviors make it difficult for marketers to know exactly where to spend their next dollar. The key? Multi-KPI testing.
Let’s dive into why multi-KPI testing is essential for marketers in 2026 and how it can help brands get a clearer, more accurate picture of their marketing efforts.
Why Incrementality Alone Isn’t Enough Anymore
According to LoyaltyLion, customer acquisition costs (CAC) are increasing every year, particularly in the world of eCommerce. We cover the reasons for rising costs in detail in part one, but let’s just highlight the fact that acquisition costs have surged by 60% since 2019 due to rising ad platform costs coupled with growing skepticism amongst marketers about where and how their ad spend is performing.
Incrementality testing, measuring the purchases or conversions that wouldn’t have happened without a specific marketing effort, has been a go-to method for measuring channel effectiveness for smart marketing organizations. However, heading into 2026, this approach alone is no longer adequate to fully understand your marketing performance and its implications for budgeting.
You might know how many incremental sales each channel drives, but do you understand the mix of new vs. existing customer purchases? Do you understand what type of lift that marketing channel drives in KPIs further up the consideration cycle, like leads, visits, or awareness? Do you know which of your channels more effectively drives higher LTV product sales? Multi-KPI testing allows marketers to evaluate performance across multiple dimensions, e.g., new versus returning customers, the efficiency of each channel in driving product category sales, or boosting awareness or consideration.
What is Multi-KPI Testing?
Multi-KPI testing involves measuring more than just incremental orders. It’s about evaluating the total performance of a marketing channel across multiple key performance indicators (KPIs). These KPIs should include total orders, new customer acquisition, high-value product purchases, leads, traffic, organic search volume, and even brand awareness metrics.
Are you accounting for the long-term impact of marketing and the awareness building that you need to fuel your brand’s growth? Your testing needs to account for how marketing vehicles drive incremental lift in awareness and consideration further up in the funnel, not just near-term sales. Consideration lift carries value that purchase-only incrementality experiments won’t capture.
Let’s look at an example. Say you’re running Facebook ads. Instead of just tracking how many incremental orders are coming through, you should also ask:
- What percentage of those orders are from new customers?
- How does that compare to what Google Ads is driving?
- Are those new customers buying high-LTV products, or are they purchasing one-off, lower-value items?
- Are those ads driving lift in brand awareness and consideration?
The ability to test and, more importantly, optimize your media spend across multiple KPIs gives marketers a more comprehensive view of what’s working and what’s not, allowing them to make smarter decisions about where to allocate their budget that drive healthy and profitable long-term growth.
The Importance of Testing for High-Lifetime Value Customers
One critical KPI that should be part of your Multi-KPI testing is customer lifetime value (LTV). Post-pandemic, many brands saw a surge in new customers thanks to deep discounts on promotional products. But here’s the catch: many of those customers didn’t stick around. They were drawn in by a deal, but they didn’t become repeat buyers.
When running Multi-KPI tests, focus on whether your channels are driving incremental lift in customers who buy high-LTV products and baskets. These are the customers who are likely to make repeat purchases and drive long-term revenue for your brand, not just one-and-done buyers.
Ask yourself:
- Am I attracting customers who will continue to purchase from my brand over time?
- Are my marketing channels driving high-value, repeat customers, or are they just bringing in low-value deal-hunters?
Navigating the Confusion of AI Campaigns
AI-driven campaigns, such as Facebook’s Advantage+ Shopping Campaigns (ASC) and Google’s PMAX, add a layer of complexity to marketing measurement. These campaigns can handle multiple functions - like prospecting, retargeting, and retention, all within a single ad campaign across multiple ad products. This makes it hard to tell exactly what each campaign is doing.
Before AI, you could run separate campaigns for prospecting new customers, retargeting existing visitors, and nurturing awareness. Today, AI campaigns bundle all these functions together, causing overlap with your existing traditional campaigns and making it harder to get a clear read on actual performance. Measured recommends a best practice of beginning measurement journeys for AI campaigns by establishing multi-tactic baseline performance before using those insights to delve deeper into campaign performance.
To effectively measure the impact of AI campaigns, you need to test carefully, monitor closely, and ultimately consider a measurement roadmap to verify performance continually and evolve strategy. Based on Measured’s experience, many brands often discover that their AI campaigns aren’t doing what they think they are, which can confuse reads and skew insights.
Key takeaways for AI campaigns:
1) Create measurement journeys starting with multi-tactic tests to establish a baseline.
2) Set up tests carefully and closely monitor AI and standard campaign behavior during testing to ensure you're getting a clean signal.
3) Measure AI campaign performance via testing with multiple tests over the course of the year and use observations to evolve and hone strategy and campaign settings.
4) Expect that these AI campaigns, whether or not they’re effective, are very likely not doing what you think they're doing.
Building a Holistic Framework for Multi-KPI Testing
Running Multi-KPI tests is just the start. Once you’ve gathered insights from your testing, you need to build a framework that connects these findings to decision-making and financial outcomes.
Here’s how you can structure this framework:
- Measurement Framework: Use your Multi-KPI testing to feed into your media mix model, which helps determine the long-term impact of upper-funnel channels like awareness campaigns. This should, in turn, inform your attribution models, giving you a clear view of how each channel performs across multiple KPIs.
- Financial Framework: Use the insights from your testing to guide monthly budgeting and campaign optimizations. Use testing and modeling to build a bridge with your finance team that aligns marketing toward clear goals. Are you trying to hit a specific revenue target? Perhaps every marketing dollar needs to hit a defined contribution margin. Or perhaps you’re aiming for a specific customer acquisition cost defined by customer lifetime value and time to pay back guided by your brand’s financial strategy?
- Decision Framework: Define your budget to achieve these goals and align your budget allocation to maximize outcomes. Ultimately, your tests should help you answer questions like:
- How do I set the right budget based on these performance insights?
- What am I willing to pay for a new customer based on their projected LTV?
- How am I pacing towards goals, and how can I make adjustments as needed?
By implementing this framework, you’ll be able to leverage your Multi-KPI testing to not only understand your channel performance but also make informed financial decisions that drive growth.
Conclusion
The marketing landscape today is complex, but Multi-KPI testing provides a powerful solution for cutting through the confusion and getting a clearer picture of your marketing performance. By testing across multiple KPIs and building a robust decision-making framework, you’ll be better equipped to optimize your budget and drive long-term growth. To find out more, book a demo with a Measured expert today.