It’s fairly easy to see what you spend on marketing each month. Your Google Ads dashboard shows your cost per click, your agency invoice shows the retainer, and the billboard contract spells out the monthly rate. What’s harder to see is whether any of that spend brought in a new customer. Marketing effectiveness measurement helps connect spending to results, so you can invest more into what works and cut what doesn’t.
This guide covers the key metrics ecommerce brands use to measure marketing effectiveness, how to track channels that are hard to attribute, and the tools that make measurement easier.
What is marketing effectiveness?
Marketing effectiveness is a measure of how well your marketing strategy achieves your business objectives. It goes beyond impressions and follower counts to determine whether your marketing campaigns contribute to revenue growth. The goal is to get results at a cost you can sustain, from customers who are worth the investment.
For ecommerce brands, measuring marketing effectiveness means connecting each channel—i.e., paid advertising, email marketing, influencer partnerships, content marketing—back to revenue and profit.
Key metrics for marketing effectiveness measurement
- Return on ad spend (ROAS)
- New customer return on ad spend (NC ROAS)
- Customer acquisition cost (CAC) and customer lifetime value (CLV)
- Cost per thousand impressions (CPM) and click-through rate (CTR)
- Email marketing KPIs
- Storefront metrics
- Post-purchase surveys and earned media value
The marketing metrics you choose to track will depend on your ecommerce business model, marketing channels, and the maturity of your company. A new brand spending its first $500 on Instagram ads has different priorities than one managing a seven-figure marketing budget across 10 channels. A few categories of essential metrics help you monitor campaign performance:
Return on ad spend (ROAS)
ROAS is a marketing efficiency metric that shows how much revenue you generate for every dollar of ad spend. If you spend $1,000 on ads that produce $3,000 in sales, then your ROAS is 3:1.
Sean Frank, CEO of the accessories brand Ridge, says on the Shopify Masters podcast that the cost of reaching people on platforms like Meta has risen as more advertisers compete for the same inventory. Where early Facebook advertisers might have seen a 10-times return, Frank says most brands now are happy to see a three times return.
To improve your ROAS, test new ad creative to determine what is working, tighten your audience targeting, or work on improving your landing page conversion rates.
New customer return on ad spend (NC ROAS)
NC ROAS measures ROAS only for first-time buyers. This metric matters most when you’re actively spending to grow your customer base as opposed to marketing to people who’ve already bought from you.
Ryan Bartlett, founder of the men’s apparel brand True Classic, measures NC ROAS daily and considers it his number-one metric. As he says on an episode of Shopify Masters, “If it’s 0.7, I know we overspent this morning. If I wake up and it’s one and a half? We’re like, ‘Wow, today’s gonna be wildly profitable.’”
To improve NC ROAS, Ryan regularly tests new creative assets to see which types of ads get the most engagement. He and his team have found success with static ads that include social proof indicators like review counts.
Customer acquisition cost (CAC) and customer lifetime value (CLV)
CAC is your total ad spend divided by the number of new customers it produced. CLV estimates the total net profit a company can generate from a customer over their entire relationship.
Tracking CAC alongside CLV tells you whether your marketing investments are profitable across the entire customer relationship. Neil Hoyne, chief strategist at Google, says on an episode of Shopify Masters that customer lifetime value will tell you how much each relationship is worth to your business going forward. He also says it can indicate how many times you expect the customer to come back, and how much they will spend.
The CAC to CLV ratio is especially useful when you’re evaluating whether to scale a campaign. A campaign attracting high-CLV customers, for instance, could be your most profitable channel even if the acquisition costs are high.
A ratio below 1:1 means you’re losing money on acquisition. Between 1:1 and 3:1, there’s room to improve. Lower CAC by investing in organic channels like search engine optimization (SEO) and referral programs. Increase CLV by implementing post-purchase email flows, loyalty programs, or subscription options.
Cost per thousand impressions (CPM) and click-through rate (CTR)
CPM reflects how much the ad platform charges to show your ad. CTR tells you the percentage of people who are clicking on an ad. These key performance indicators (KPIs) help you diagnose marketing performance.
Nik Sharma, founder of the growth and marketing agency Sharma Brands, says on Shopify Masters that a low CPM and high CTR mean both the platform and audience are responding well to an ad. But if CTR is high and on-site add-to-cart rates are low, this means the ad is working but the landing page isn’t. If the marketing funnel breaks after customers click, the landing page headline, imagery, and offer may not match what the ad promised.
Email marketing KPIs
Email is one of the highest-return marketing channels for ecommerce. According to a Litmus survey, email generates an average of $36 for every $1 spent. The core email marketing metrics to track are:
Open rate
The percentage of recipients who open your email. It’s a proxy for subject line effectiveness and deliverability (whether your emails reach inboxes or land in spam). Test subject lines and remove inactive subscribers to improve your open rate.
Click-through rate
For email, this is the percentage of recipients who click a link in the email. It tells you if the content and call to action inside were compelling enough to drive action. Experiment with call to action (CTA) placement, email length, and content that supports the subject line.
Placed order rate
The percentage of recipients who make a purchase after receiving the email. This metric connects your email marketing directly to revenue and can help you determine whether a campaign was effective. If clicks are high but orders are low, look at the product page or checkout experience that the email links to.
Revenue per recipient
The total revenue generated by a campaign divided by the number of recipients. This is the bottom-line metric for email; it accounts for open rates, click rates, and order values in a single number.
Track these metrics over time against your own historical data. Since your email list size, price point, and sending frequency are unique to your business, your own trends will tell you more than industry benchmarks.
Storefront metrics
The following three metrics cut across channels to measure marketing success across your entire storefront:
Average order value (AOV)
AOV is the average amount a customer spends per order. Increase it by offering product bundles, upselling, or setting free shipping thresholds.
Conversion rate
Track conversion rates by channel and by landing page to find where your marketing touchpoints are the strongest and where shoppers drop off. A landing page with high traffic but a low conversion rate is a sign that the page doesn’t match what attracted the visitor.
Cart abandonment rate
A high cart abandonment rate can signal a gap between your marketing message and the checkout experience. Maybe the ad implied free shipping, but fees appear at checkout. Common fixes include simplifying checkout, showing total costs earlier, and sending cart recovery emails.
Post-purchase surveys and earned media value
When ad platforms can’t track customer data across devices and sessions, information customers share directly, like survey responses, fills the gap. Toral Patel, VP of marketing at the body care brand Kopari Beauty, shares the brand’s post-purchase tactic on an episode of Shopify Masters. After checkout, the brand sends a simple survey asking, “How did you hear about us?” The responses help the marketing team attribute sales to specific influencers or experiences.
Toral also tracks earned media value (EMV), video views, and engagement, then cross-references those numbers with spikes in direct or organic website traffic. For example, a spike in EMV and direct traffic might correlate with multiple surveys attributing brand awareness to the same influencer.
Shopify tools for measuring marketing effectiveness
- Channel and landing page performance reports
- Attribution models and cross-device reporting
- Customer reports and segmentation
Shopify’s native marketing measurement capabilities include channel and landing page performance reports, attribution models, and customer segmentation tools:
Channel and landing page performance reports
Shopify’s performance reports show ROAS, CAC, CTR, and conversion rates at the channel level. These allow your marketing team to compare performance across marketing campaigns and make informed decisions about budget allocation.
“Shopify’s analytics are the most in-depth that I’ve ever seen,” says Adam Davis from Magnolia Bakery on Shopify Masters. “I can spend all day just sitting in the analytics tab of our Shopify dashboard and coming up with a list of things that we should test and learn.” As the senior marketing manager, Adam and his team use those analytics to improve the checkout experience, product recommendations, product images, and category-specific landing pages.
“Making the smallest adjustment could make a huge difference in your online sales,” Adam says.
Nik Sharma of Sharma Brands adds that the reports tab lets you examine conversion rate per landing page—a feature he calls “probably one of the more underutilized reporting features in Shopify.”
Attribution models and cross-device reporting
Shopify supports multiple attribution models: first click, last click, last non-direct click, linear, and any click. If you’re trying to understand which touchpoint first introduced a customer to your brand, first-click attribution gives credit to that initial ad or link. If you want to know what closed the sale, last-click gives you that visibility.
Linear attribution splits credit evenly across every touchpoint, which is useful for understanding the full path to purchase across multiple channels. Cross-device reporting adds another layer, giving a more complete picture of the buyer’s journey. For example, it may show you that a customer discovered your brand on Instagram, researched it on a laptop, and made a purchase on their phone a week later.
Customer reports and segmentation
Use Shopify to see new versus returning customer breakdowns and run cohort analysis to track how groups of customers behave over time. You could also do a recency, frequency, monetary (RFM) analysis to automatically sort customers into segments like “loyal,” “at risk,” or “needs attention” based on their purchase history. You can then build targeted audience segments using these filters and market to them directly through Shopify Messaging.
This same data can also inform your paid ad strategy. If your data shows that your highest-CLV customers are women aged 25 to 34 who found you through Instagram, you can weight your ad spend toward that audience rather than spreading it evenly.
Marketing effectiveness measurement FAQ
What is the 3-3-3 rule in marketing?
The 3-3-3 rule encourages marketers to build a focused strategy for each campaign by crafting three key messages, targeting three audience segments, and prioritizing three marketing channels.
What is the 70-20-10 rule in marketing?
The 70-20-10 rule is a framework for marketing budget allocation. It suggests putting 70% of your budget toward proven strategies that drive consistent results, 20% toward newer initiatives that show promise, and 10% toward experimental, higher-risk marketing activities.
What are the five marketing metrics every business should track?
While the right marketing metrics vary by business, five widely used metrics for measuring marketing effectiveness are: customer acquisition cost (CAC), customer lifetime value (CLV), return on ad spend (ROAS), conversion rates, and revenue attributed to marketing.
