Customer acquisition cost, written as CAC, is the total amount a business spent acquiring a paying customer over a defined period, divided by the number of new paying customers acquired in that same period. For a Calgary home-service contractor, the numerator typically includes paid media, design and print costs for any physical assets, sales labour attributable to the campaign, and (in some accounting conventions) a share of overhead. The denominator is the count of customers who actually paid an invoice — not leads, not bookings, but realized revenue.
CAC is mathematically related to cost per lead by the close rate: CAC equals CPL divided by close rate. A $30 CPL with a 50% close rate produces a $60 CAC. The same $30 CPL with a 25% close rate produces a $120 CAC. The arithmetic makes the link between marketing and sales explicit and is why operators who track only CPL routinely under-invest in their phone-handling and quoting process — fixing the close rate halves the CAC at zero additional marketing cost.
Calgary home-service benchmarks for CAC vary widely by trade and lead source. A junk-removal operator with strong same-day phone handling can close 50% to 70% of door-hanger leads, putting CAC in the $30 to $60 range against a $20 CPL. The same operator running Google Ads on a $45 CPL with a 40% close rate sees CAC near $115 — a structurally different unit economics. Roofing CAC is much higher because the close rate on cold leads is lower (10% to 25% for unsigned inspections) and the per-job ticket justifies the spend; an unhelpful CAC of $400 on a $12,000 roof replacement is excellent.
CAC is the input to two downstream comparisons that determine whether a marketing channel is worth running. The first is the CAC-to-LTV ratio: customer lifetime value divided by CAC. Healthy home-service businesses target an LTV-to-CAC ratio of 3:1 or higher — every dollar spent acquiring a customer should return at least three dollars in lifetime margin. The second is the CAC payback period: how many billing cycles it takes for the gross margin from one customer to recoup the CAC. Subscription businesses obsess over this; for one-shot trades like junk removal, payback is collapsed to a single transaction and the metric reduces to "is this job profitable after the marketing line".
CAC is sometimes confused with CPA (cost per acquisition, which is platform-side ad terminology for the same thing) and with CPL (one stage upstream). The clearest mental model is funnel-based: an impression generates a click at CPC, a click generates a lead at CPL, a lead becomes a paying customer at CAC. Each step adds dropout and each step compounds the cost. Door hangers compress the funnel by collapsing the impression and click stages into a single physical exposure — there is no auction to lose and no click to fail, just a phone call or no phone call — which is why mature operators report better unit economics on physical channels even when the per-impression cost looks higher.
Also known as
- customer acquisition cost
- CPA
- cost per acquisition
- cost per customer
Related terms
- CPL (Cost Per Lead)
The total marketing spend on a campaign divided by the number of qualified leads it produced. CPL is the canonical KPI for home-service contractors because it isolates marketing efficiency before the effects of pricing, close rate, or job margin.
- CPC (Cost Per Click)
The price an advertiser pays each time someone clicks a paid ad on platforms like Google Ads or Meta Ads. CPC is set by a real-time auction against competing advertisers bidding on the same keyword or audience and varies sharply by industry, geography, and intent.
- ROAS (Return On Ad Spend)
Revenue produced by an advertising campaign divided by the amount spent on that campaign. ROAS of 4 means every dollar of ad spend returned four dollars of revenue. It does not account for cost of goods or profit margin — only top-line revenue against ad spend.
- Proximity Response Rate
The lift in response rate observed when an advertisement reaches homes close to addresses that are already customers. The effect is driven by visible work in progress, neighbor word-of-mouth, and a trust premium attached to local recognition.
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