TL;DR<\/h2>\n\n- CAC = Total Sales and Marketing Spend \/ New Customers Acquired.<\/strong> That includes ad spend, salaries, agency fees, software, and content production. Most companies undercount by leaving out salaries and overhead. A DTC brand spending $50,000 on ads with a $30,000\/month marketing team that acquires 400 customers has a true CAC of $200, not the $125 from counting ad spend alone.<\/li>\n
- CAC has risen 60% industry-wide over the past five years.<\/strong> According to Genesys Growth research<\/a>, the median SaaS CAC ratio increased 14% in 2024 alone, reaching $2.00 per $1 of new ARR. Ecommerce brands now lose $29 on every new customer after marketing costs and returns. Profitability depends on repeat purchases, where profits average $39 per transaction.<\/li>\n
- Bad attribution distorts CAC by 20-50%.<\/strong> When platforms double-count conversions, your customer count looks higher than reality, making CAC appear lower. When attribution misses conversions (cookie expiration, ad blockers, cross-device gaps), customer count looks lower, inflating CAC. Either error leads to wrong budget allocation. Hyros tracks 20-50% more sales than ad platforms alone.<\/li>\n<\/ul><\/div>\n\n\n\n
What Is Customer Acquisition Cost?<\/h2>\n\n\n\n![\"Chalkboard](\"https:\/\/hyros.com\/updates\/wp-content\/uploads\/2026\/08\/m2-03-what-belongs-in-cac-scaled.png\")
<\/figure>\n\n\n\nCustomer acquisition cost (CAC) measures the total investment required to convert a prospect into a paying customer. It is calculated by dividing total sales and marketing expenses over a given period by the number of new customers acquired during that same period. CAC is one of the two numbers (alongside customer lifetime value) that determines whether a business model is fundamentally viable. If it costs more to acquire a customer than that customer will ever be worth, the business loses money on every sale and cannot scale its way to profitability.<\/p>\n\n\n\n
The concept applies across every business model. A DTC ecommerce brand calculates CAC by totaling Meta Ads spend, Google Ads spend, influencer fees, agency costs, and the marketing team’s salaries, then dividing by orders from new customers. A B2B SaaS company includes all of that plus SDR salaries, demo tooling, CRM costs, trade show expenses, and content production. A coaching business includes ad spend, webinar platform costs, call center payroll, and any affiliate commissions.<\/p>\n\n\n\n
The formula is the same in every case. What changes is the scope of the numerator (what counts as an acquisition cost) and the accuracy of the denominator (how many customers were actually acquired, and which channels drove them).<\/p>\n\n\n\n
For a related metric that measures advertising efficiency at the campaign level, see our guide on how to calculate ROAS<\/a>. ROAS measures revenue return per ad dollar. CAC measures total cost per customer across all channels.<\/p>\n\n\n\nHow Do You Calculate CAC Step by Step?<\/h2>\n\n\n\n![\"Chalkboard](\"https:\/\/hyros.com\/updates\/wp-content\/uploads\/2026\/08\/m2-03-ad-spend-only-vs-true-cac-scaled.png\")
<\/figure>\n\n\n\n\nCAC = Total Sales and Marketing Spend \/ New Customers Acquired<\/strong><\/p>\n<\/blockquote>\n\n\n\nHere is the calculation broken into five steps.<\/p>\n\n\n\n
Step 1: Define Your Time Period<\/h3>\n\n\n\n
Pick a consistent measurement window. Monthly CAC is useful for spotting trends. Quarterly CAC smooths out seasonal fluctuations. Annual CAC gives the most stable long-term view. Whatever period you choose, apply it consistently to both the numerator and denominator.<\/p>\n\n\n\n
The time period matters more than most companies realize. A SaaS company that spends $100,000 in January on marketing and acquires 50 customers in January might calculate a $2,000 CAC. But if those 50 customers actually came from campaigns launched in November and December (and January’s spend will not produce customers until March), the $2,000 number is meaningless. This is the lag problem, and it gets worse with longer sales cycles.<\/p>\n\n\n\n
Step 2: Total All Acquisition Costs<\/h3>\n\n\n\n
Add up every dollar spent on acquiring new customers during your time period. Include:<\/p>\n\n\n\n
Direct costs:<\/strong>
\n– Ad spend across all platforms (Meta Ads, Google Ads, TikTok Ads, LinkedIn, etc.)
\n– Agency fees and management costs
\n– Affiliate and referral commissions
\n– Content production (blog posts, videos, podcasts created for acquisition)
\n– Event and trade show costs
\n– Software and tooling (CRM, marketing automation, attribution platforms)<\/p>\n\n\n\nPersonnel costs:<\/strong>
\n– Marketing team salaries and benefits (pro-rated for time spent on acquisition vs. retention)
\n– Sales team salaries and commissions (for teams that close new business)
\n– Customer success costs related to onboarding new customers<\/p>\n\n\n\nOverhead allocation:<\/strong>
\n– Office space, equipment, and supplies for marketing and sales teams
\n– Training and development costs<\/p>\n\n\n\nMost companies undercount. They include ad spend but forget agency fees. They include agency fees but forget the marketing director’s salary. They include the marketing director but forget the CMO’s pro-rated time. Every cost you leave out of the numerator makes your CAC look artificially low, which makes you think your acquisition engine is more efficient than it actually is.<\/p>\n\n\n\n
Step 3: Count New Customers Only<\/h3>\n\n\n\n
Your denominator is new paying customers acquired during the period. Not leads. Not trials. Not demo requests. Paying customers.<\/p>\n\n\n\n
Exclude:
\n– Returning customers (they were already acquired)
\n– Free trial users who did not convert
\n– Upsells and expansions from existing customers (those belong in LTV calculations)<\/p>\n\n\n\n
The definition of “customer” must match your business model. For ecommerce, it is a first-time purchaser. For SaaS, it is a new subscriber who completed at least one payment. For a coaching business, it is a client who signed a contract or made a payment.<\/p>\n\n\n\n
Step 4: Adjust for Time Lag<\/h3>\n\n\n\n
If your sales cycle is longer than your measurement period, you need to offset the numerator and denominator. A B2B SaaS company with a 90-day sales cycle should compare Q1 marketing spend against Q2 customer acquisitions, not Q1 spend against Q1 customers.<\/p>\n\n\n\n
The lag adjustment is not optional for businesses with considered purchases. When your sales cycle exceeds 45 days and you are not adjusting for time lag, the CAC number you produce is fiction. You are dividing this month’s costs by last month’s customers (or next month’s customers) and calling it a metric.<\/p>\n\n\n\n
Let’s imagine you run a SaaS tool with a 60-day average sales cycle. You spend $80,000 on marketing in January. You bring in 40 paying customers in January. Your spreadsheet says $2,000 CAC. Looks clean. But those 40 customers signed up because of your November campaigns, which cost $50,000. Your real CAC from November’s spend is $1,250. Meanwhile, January’s $80,000 is going to produce customers in March. When March comes in light, you’ll cut the budget thinking January’s campaigns failed. They didn’t. You just measured them wrong.<\/p>\n\n\n\n
Step 5: Divide and Interpret<\/h3>\n\n\n\n
Divide total acquisition costs by new customers. The result is your CAC.<\/p>\n\n\n\n
Example: DTC ecommerce brand<\/strong>
\n– Monthly Meta Ads: $40,000
\n– Monthly Google Ads: $15,000
\n– Agency fee: $5,000
\n– Marketing manager salary (allocated): $7,000
\n– Software (Shopify, Klaviyo, Hyros): $2,000
\n– Total: $69,000<\/strong>
\n– New customers acquired: 350
\n– CAC: $197.14<\/strong><\/p>\n\n\n\nCompare this to the version most brands calculate: $55,000 in ad spend \/ 350 customers = $157.14 CAC. The $40 difference per customer adds up to $14,000 per month in hidden costs that never appear in the “CAC” reported to investors or used in scaling decisions.<\/p>\n\n\n\n
What Is a Good CAC by Industry?<\/h2>\n\n\n\n![\"Chalkboard](\"https:\/\/hyros.com\/updates\/wp-content\/uploads\/2026\/08\/m2-03-cac-benchmarks-by-segment-scaled.png\")
<\/figure>\n\n\n\nCAC benchmarks vary dramatically by industry, business model, and average deal size. The following benchmarks are sourced from multiple 2025-2026 industry reports.<\/p>\n\n\n\n
Ecommerce<\/h3>\n\n\n\n
What Is Customer Acquisition Cost?<\/h2>\n\n\n\n<\/figure>\n\n\n\nCustomer acquisition cost (CAC) measures the total investment required to convert a prospect into a paying customer. It is calculated by dividing total sales and marketing expenses over a given period by the number of new customers acquired during that same period. CAC is one of the two numbers (alongside customer lifetime value) that determines whether a business model is fundamentally viable. If it costs more to acquire a customer than that customer will ever be worth, the business loses money on every sale and cannot scale its way to profitability.<\/p>\n\n\n\n
The concept applies across every business model. A DTC ecommerce brand calculates CAC by totaling Meta Ads spend, Google Ads spend, influencer fees, agency costs, and the marketing team’s salaries, then dividing by orders from new customers. A B2B SaaS company includes all of that plus SDR salaries, demo tooling, CRM costs, trade show expenses, and content production. A coaching business includes ad spend, webinar platform costs, call center payroll, and any affiliate commissions.<\/p>\n\n\n\n
The formula is the same in every case. What changes is the scope of the numerator (what counts as an acquisition cost) and the accuracy of the denominator (how many customers were actually acquired, and which channels drove them).<\/p>\n\n\n\n
For a related metric that measures advertising efficiency at the campaign level, see our guide on how to calculate ROAS<\/a>. ROAS measures revenue return per ad dollar. CAC measures total cost per customer across all channels.<\/p>\n\n\n\nHow Do You Calculate CAC Step by Step?<\/h2>\n\n\n\n<\/figure>\n\n\n\n\nCAC = Total Sales and Marketing Spend \/ New Customers Acquired<\/strong><\/p>\n<\/blockquote>\n\n\n\nHere is the calculation broken into five steps.<\/p>\n\n\n\n
Step 1: Define Your Time Period<\/h3>\n\n\n\n
Pick a consistent measurement window. Monthly CAC is useful for spotting trends. Quarterly CAC smooths out seasonal fluctuations. Annual CAC gives the most stable long-term view. Whatever period you choose, apply it consistently to both the numerator and denominator.<\/p>\n\n\n\n
The time period matters more than most companies realize. A SaaS company that spends $100,000 in January on marketing and acquires 50 customers in January might calculate a $2,000 CAC. But if those 50 customers actually came from campaigns launched in November and December (and January’s spend will not produce customers until March), the $2,000 number is meaningless. This is the lag problem, and it gets worse with longer sales cycles.<\/p>\n\n\n\n
Step 2: Total All Acquisition Costs<\/h3>\n\n\n\n
Add up every dollar spent on acquiring new customers during your time period. Include:<\/p>\n\n\n\n
Direct costs:<\/strong>
\n– Ad spend across all platforms (Meta Ads, Google Ads, TikTok Ads, LinkedIn, etc.)
\n– Agency fees and management costs
\n– Affiliate and referral commissions
\n– Content production (blog posts, videos, podcasts created for acquisition)
\n– Event and trade show costs
\n– Software and tooling (CRM, marketing automation, attribution platforms)<\/p>\n\n\n\nPersonnel costs:<\/strong>
\n– Marketing team salaries and benefits (pro-rated for time spent on acquisition vs. retention)
\n– Sales team salaries and commissions (for teams that close new business)
\n– Customer success costs related to onboarding new customers<\/p>\n\n\n\nOverhead allocation:<\/strong>
\n– Office space, equipment, and supplies for marketing and sales teams
\n– Training and development costs<\/p>\n\n\n\nMost companies undercount. They include ad spend but forget agency fees. They include agency fees but forget the marketing director’s salary. They include the marketing director but forget the CMO’s pro-rated time. Every cost you leave out of the numerator makes your CAC look artificially low, which makes you think your acquisition engine is more efficient than it actually is.<\/p>\n\n\n\n
Step 3: Count New Customers Only<\/h3>\n\n\n\n
Your denominator is new paying customers acquired during the period. Not leads. Not trials. Not demo requests. Paying customers.<\/p>\n\n\n\n
Exclude:
\n– Returning customers (they were already acquired)
\n– Free trial users who did not convert
\n– Upsells and expansions from existing customers (those belong in LTV calculations)<\/p>\n\n\n\n
The definition of “customer” must match your business model. For ecommerce, it is a first-time purchaser. For SaaS, it is a new subscriber who completed at least one payment. For a coaching business, it is a client who signed a contract or made a payment.<\/p>\n\n\n\n
Step 4: Adjust for Time Lag<\/h3>\n\n\n\n
If your sales cycle is longer than your measurement period, you need to offset the numerator and denominator. A B2B SaaS company with a 90-day sales cycle should compare Q1 marketing spend against Q2 customer acquisitions, not Q1 spend against Q1 customers.<\/p>\n\n\n\n
The lag adjustment is not optional for businesses with considered purchases. When your sales cycle exceeds 45 days and you are not adjusting for time lag, the CAC number you produce is fiction. You are dividing this month’s costs by last month’s customers (or next month’s customers) and calling it a metric.<\/p>\n\n\n\n
Let’s imagine you run a SaaS tool with a 60-day average sales cycle. You spend $80,000 on marketing in January. You bring in 40 paying customers in January. Your spreadsheet says $2,000 CAC. Looks clean. But those 40 customers signed up because of your November campaigns, which cost $50,000. Your real CAC from November’s spend is $1,250. Meanwhile, January’s $80,000 is going to produce customers in March. When March comes in light, you’ll cut the budget thinking January’s campaigns failed. They didn’t. You just measured them wrong.<\/p>\n\n\n\n
Step 5: Divide and Interpret<\/h3>\n\n\n\n
Divide total acquisition costs by new customers. The result is your CAC.<\/p>\n\n\n\n
Example: DTC ecommerce brand<\/strong>
\n– Monthly Meta Ads: $40,000
\n– Monthly Google Ads: $15,000
\n– Agency fee: $5,000
\n– Marketing manager salary (allocated): $7,000
\n– Software (Shopify, Klaviyo, Hyros): $2,000
\n– Total: $69,000<\/strong>
\n– New customers acquired: 350
\n– CAC: $197.14<\/strong><\/p>\n\n\n\nCompare this to the version most brands calculate: $55,000 in ad spend \/ 350 customers = $157.14 CAC. The $40 difference per customer adds up to $14,000 per month in hidden costs that never appear in the “CAC” reported to investors or used in scaling decisions.<\/p>\n\n\n\n
What Is a Good CAC by Industry?<\/h2>\n\n\n\n<\/figure>\n\n\n\nCAC benchmarks vary dramatically by industry, business model, and average deal size. The following benchmarks are sourced from multiple 2025-2026 industry reports.<\/p>\n\n\n\n
Ecommerce<\/h3>\n\n\n\n
<\/figure>\n\n\n\nCustomer acquisition cost (CAC) measures the total investment required to convert a prospect into a paying customer. It is calculated by dividing total sales and marketing expenses over a given period by the number of new customers acquired during that same period. CAC is one of the two numbers (alongside customer lifetime value) that determines whether a business model is fundamentally viable. If it costs more to acquire a customer than that customer will ever be worth, the business loses money on every sale and cannot scale its way to profitability.<\/p>\n\n\n\n
The concept applies across every business model. A DTC ecommerce brand calculates CAC by totaling Meta Ads spend, Google Ads spend, influencer fees, agency costs, and the marketing team’s salaries, then dividing by orders from new customers. A B2B SaaS company includes all of that plus SDR salaries, demo tooling, CRM costs, trade show expenses, and content production. A coaching business includes ad spend, webinar platform costs, call center payroll, and any affiliate commissions.<\/p>\n\n\n\n
The formula is the same in every case. What changes is the scope of the numerator (what counts as an acquisition cost) and the accuracy of the denominator (how many customers were actually acquired, and which channels drove them).<\/p>\n\n\n\n
For a related metric that measures advertising efficiency at the campaign level, see our guide on how to calculate ROAS<\/a>. ROAS measures revenue return per ad dollar. CAC measures total cost per customer across all channels.<\/p>\n\n\n\n CAC = Total Sales and Marketing Spend \/ New Customers Acquired<\/strong><\/p>\n<\/blockquote>\n\n\n\n Here is the calculation broken into five steps.<\/p>\n\n\n\n Pick a consistent measurement window. Monthly CAC is useful for spotting trends. Quarterly CAC smooths out seasonal fluctuations. Annual CAC gives the most stable long-term view. Whatever period you choose, apply it consistently to both the numerator and denominator.<\/p>\n\n\n\n The time period matters more than most companies realize. A SaaS company that spends $100,000 in January on marketing and acquires 50 customers in January might calculate a $2,000 CAC. But if those 50 customers actually came from campaigns launched in November and December (and January’s spend will not produce customers until March), the $2,000 number is meaningless. This is the lag problem, and it gets worse with longer sales cycles.<\/p>\n\n\n\n Add up every dollar spent on acquiring new customers during your time period. Include:<\/p>\n\n\n\n Direct costs:<\/strong> Personnel costs:<\/strong> Overhead allocation:<\/strong> Most companies undercount. They include ad spend but forget agency fees. They include agency fees but forget the marketing director’s salary. They include the marketing director but forget the CMO’s pro-rated time. Every cost you leave out of the numerator makes your CAC look artificially low, which makes you think your acquisition engine is more efficient than it actually is.<\/p>\n\n\n\n Your denominator is new paying customers acquired during the period. Not leads. Not trials. Not demo requests. Paying customers.<\/p>\n\n\n\n Exclude: The definition of “customer” must match your business model. For ecommerce, it is a first-time purchaser. For SaaS, it is a new subscriber who completed at least one payment. For a coaching business, it is a client who signed a contract or made a payment.<\/p>\n\n\n\n If your sales cycle is longer than your measurement period, you need to offset the numerator and denominator. A B2B SaaS company with a 90-day sales cycle should compare Q1 marketing spend against Q2 customer acquisitions, not Q1 spend against Q1 customers.<\/p>\n\n\n\n The lag adjustment is not optional for businesses with considered purchases. When your sales cycle exceeds 45 days and you are not adjusting for time lag, the CAC number you produce is fiction. You are dividing this month’s costs by last month’s customers (or next month’s customers) and calling it a metric.<\/p>\n\n\n\n Let’s imagine you run a SaaS tool with a 60-day average sales cycle. You spend $80,000 on marketing in January. You bring in 40 paying customers in January. Your spreadsheet says $2,000 CAC. Looks clean. But those 40 customers signed up because of your November campaigns, which cost $50,000. Your real CAC from November’s spend is $1,250. Meanwhile, January’s $80,000 is going to produce customers in March. When March comes in light, you’ll cut the budget thinking January’s campaigns failed. They didn’t. You just measured them wrong.<\/p>\n\n\n\n Divide total acquisition costs by new customers. The result is your CAC.<\/p>\n\n\n\n Example: DTC ecommerce brand<\/strong> Compare this to the version most brands calculate: $55,000 in ad spend \/ 350 customers = $157.14 CAC. The $40 difference per customer adds up to $14,000 per month in hidden costs that never appear in the “CAC” reported to investors or used in scaling decisions.<\/p>\n\n\n\n CAC benchmarks vary dramatically by industry, business model, and average deal size. The following benchmarks are sourced from multiple 2025-2026 industry reports.<\/p>\n\n\n\nHow Do You Calculate CAC Step by Step?<\/h2>\n\n\n\n
<\/figure>\n\n\n\n\n
Step 1: Define Your Time Period<\/h3>\n\n\n\n
Step 2: Total All Acquisition Costs<\/h3>\n\n\n\n
\n– Ad spend across all platforms (Meta Ads, Google Ads, TikTok Ads, LinkedIn, etc.)
\n– Agency fees and management costs
\n– Affiliate and referral commissions
\n– Content production (blog posts, videos, podcasts created for acquisition)
\n– Event and trade show costs
\n– Software and tooling (CRM, marketing automation, attribution platforms)<\/p>\n\n\n\n
\n– Marketing team salaries and benefits (pro-rated for time spent on acquisition vs. retention)
\n– Sales team salaries and commissions (for teams that close new business)
\n– Customer success costs related to onboarding new customers<\/p>\n\n\n\n
\n– Office space, equipment, and supplies for marketing and sales teams
\n– Training and development costs<\/p>\n\n\n\nStep 3: Count New Customers Only<\/h3>\n\n\n\n
\n– Returning customers (they were already acquired)
\n– Free trial users who did not convert
\n– Upsells and expansions from existing customers (those belong in LTV calculations)<\/p>\n\n\n\nStep 4: Adjust for Time Lag<\/h3>\n\n\n\n
Step 5: Divide and Interpret<\/h3>\n\n\n\n
\n– Monthly Meta Ads: $40,000
\n– Monthly Google Ads: $15,000
\n– Agency fee: $5,000
\n– Marketing manager salary (allocated): $7,000
\n– Software (Shopify, Klaviyo, Hyros): $2,000
\n– Total: $69,000<\/strong>
\n– New customers acquired: 350
\n– CAC: $197.14<\/strong><\/p>\n\n\n\nWhat Is a Good CAC by Industry?<\/h2>\n\n\n\n
<\/figure>\n\n\n\nEcommerce<\/h3>\n\n\n\n
![\"Chalkboard](\"https:\/\/hyros.com\/updates\/wp-content\/uploads\/2026\/08\/m2-03-ltv-cac-minimum-healthy-ratio-scaled.png\")
<\/figure>\n\n\n\n