Customer LTV Calculator

Why should contractors care about LTV?

Bidding to acquire customers on first-job value alone is common, and it can leave money on the table. With the calculator's defaults — a $2,500 first job, 20% of customers booking one $1,500 repeat job, and a 15% chance of a $3,000 referral — expected revenue per customer is $2,500 + $300 + $450 = $3,250, or 1.3x the first job. At a 40% margin that's $1,300 of lifetime gross profit, so a plan of about a quarter ($325) and a ceiling of half ($650) per new customer, against $250–$500 on the first job alone.

How do I measure repeat rate accurately?

Pull your last 24 months of invoices. Count unique customers who booked 2+ jobs. Divide by total customers in that window. That's your repeat rate. For recurring services (pest control, HVAC maintenance), repeat rate is much higher than one-time installs.

What's a realistic referral rate?

There's no reliable published figure for home services, so measure your own: ask every new customer how they heard about you, and count how many name an existing customer. If you don't know yet, run the calculator at a cautious guess and again at double it to see how much it matters. The biggest lever: ask every happy customer for a review + referral at time of completion. Contractors who ask for referrals systematically get noticeably more of them than those who wait for referrals to happen on their own.

Should LTV replace cost per booked job as my primary metric?

No — they're complementary. CPBJ tells you unit-economic efficiency. LTV tells you how much you can afford to pay for that efficiency. Use CPBJ to optimize campaigns daily; use LTV to set your max bid + decide whether a campaign is profitable long-term.

Does LTV vary by lead source?

Yes — meaningfully. Referral customers often turn out to be worth more over time than paid-ad customers (warmer intro, higher trust, more likely to refer back). Directory leads (HomeAdvisor/Thumbtack) tend to have the lowest LTV because they're price-shoppers already comparing. Track LTV per source so you can bid smarter per channel — the same CPA on referrals vs. cold ads isn't equal profit.

How do I increase LTV without adding services?

Three levers that compound: (1) REQUEST reviews systematically — a stronger rating and steady reviews make every future customer easier to win; (2) FOLLOW-UP campaigns — email/SMS customers 30/60/90 days after work completion with maintenance tips (increases repeat rate); (3) REFERRAL incentives — $50-$100 credit per referred customer, paid when new customer books. These 3 compound: better reviews drive more referrals, follow-up keeps you top-of-mind, incentives activate it all.

Should I include the value of negative referrals in LTV?

Yes — implicitly. A bad customer (1-star reviewer, vocal complainer, negative word-of-mouth) can cost you more in lost future business than they ever paid you. When projecting LTV, focus on your TYPICAL happy customer, not your average customer (which includes the negative tail). Better positioning: 'LTV of well-served customers' = the right number. Use it to justify investing in service quality + customer experience, not just acquisition.

What's the difference between gross LTV and net LTV — and which should I use for ad bidding decisions?

Gross LTV = total revenue per customer across their lifetime. Net LTV = gross LTV minus job costs (materials and direct labour, including subs) — lifetime gross profit, before overhead. Set your bidding ceiling from Net LTV (gross profit), never from revenue. Example: a $3,200 gross LTV customer with 35% gross margin has $1,120 net LTV — the absolute break-even before overhead; plan on about a quarter of it ($280) and don't go past half ($560). Over-bidding usually comes from using gross LTV without subtracting job costs. The discipline: when scaling, always bid against Net LTV. When measuring agency performance, look at Gross LTV-driven ROAS. Two different numbers, two different uses.

How do I project LTV for a brand-new contractor business with no historical data?

Start from a conservative planning assumption, not gut feel. Three-step approach: (1) Pick a rough retention assumption for your trade — for example, roofing replacement is usually one job per customer (LTV ≈ first job value), while HVAC and pest control have repeat or subscription revenue that can multiply first-job value (these are planning assumptions, not published medians); (2) Reduce by, say, 20-30% (a rule of thumb) to account for first-year-business operational gaps (no review system yet, no referral process); (3) Recalculate every 6 months as you collect actual data. Year 1: your projection is directional. Year 2: calibrate against actuals. Year 3: trust your own data. The mistake new contractors make: assuming 'industry standard' applies to them on day 1 and bidding aggressively against unproven LTV. Be conservative until you've measured 50+ closed customers across 12+ months.

How does customer LTV connect to my Meta Ads bidding ceiling — what's the math?

Your acquisition budget per customer comes out of Net LTV (lifetime gross profit), using the same rule as this site's other tools: plan on about a quarter of it, and treat half as a hard ceiling, because overhead also has to come out. Example: Net LTV is $1,500 (gross LTV $3,000 × 50% margin), so plan on about $375 per paying customer and don't exceed $750. The calculator shows both figures for your inputs. Many contractors bid against first-job revenue without realizing LTV math may justify bidding higher. The discipline: calculate this number annually using your own LTV data; share it with your agency or in-house team as the formal bidding ceiling; revisit when offer + economics change. Many find their real bidding ceiling is well above the cost per booked job they've been targeting — meaning they could be acquiring more customers profitably and just haven't done the math.

How do I segment LTV by customer acquisition channel — and why does it matter for ad bidding?

Different channels produce customers with structurally different LTVs. Track LTV by source via your CRM source field. A common pattern: referral customers have the highest LTV, because they trust you upfront and refer back; search and LSA customers are intent-driven and often close to average; paid-social customers can come in lower because they were earlier in their decision. Your own data may differ — which is the point. Whichever channel produces higher-LTV customers for you can carry a higher bidding ceiling, and a lower-LTV channel needs a tighter one. Bidding the same against blended LTV over-pays on one and under-pays on the other. Segment-track LTV; segment-set bidding ceilings. The efficiency gain is sitting in the data once you split it by source.

How do I extend customer LTV through tactical post-purchase moves — what actually works for home service trades?

Five tactics that lift LTV over 12-24 months: (1) AUTOMATED POST-JOB CHECK-INS — text customer 30 days after completion: 'Still happy with the [service]? Any concerns?' Catches issues early, drives 5-star reviews, opens door for upsell; (2) ANNUAL MAINTENANCE PROGRAMS — sell a $99-299/year recurring service contract at the END of the first job (highest-trust window). Recurring revenue compounds LTV; (3) BUNDLED REFERRAL INCENTIVES — '$100 credit on your next service for each referral that books with us.' Track how many customers use it; the credit also pulls them back for repeat work; (4) POST-PROJECT EMAIL NURTURE — 6-month + 12-month emails with 'time for [related service]' tied to seasonal patterns; (5) BIRTHDAY/ANNIVERSARY discounts — anniversary of their first job is a great upsell moment, lower psychological resistance than cold offers. Pick 2-3 of these to implement cleanly; doing all 5 mediocrely is worse than doing 2 well.

What customer-data should I track to compute LTV accurately — and what do most contractors miss?

Five data points (4 obvious + 1 critical missed): (1) FIRST JOB date + value — easy, in your CRM; (2) ALL repeat job dates + values — easy if you have a CRM tracking history; (3) REFERRAL count generated — track via your referral form or 'who referred you?' question on new leads; (4) REVIEW count + rating — Google + Yelp data; (5) THE MISSED ONE: lifecycle dropout date — when did you LAST hear from them? A customer who hasn't booked in a few years is probably lost. Without this data point, contractors over-state LTV by counting customers who've effectively churned. Calculate LTV using only customers who are still 'active' (any contact in last 24 months) for accurate forward-looking math. A common mistake is computing LTV against 'all customers ever', which inflates it with long-past repeat work. Better to compute LTV against active cohorts only; that's the realistic number for ad-bidding decisions. Audit your CRM quarterly: tag customers as 'active' (last contact within 24 months), 'dormant' (24-48 months) and 'churned' (over 48 months) — thresholds to adjust for how often your trade's customers normally need you. Compute LTV against active only.

How do I forecast LTV improvements over time as I introduce retention campaigns + customer-experience upgrades?

Track LTV cohort-by-cohort + measure changes between cohorts. Three-step framework: (1) BASELINE COHORT — calculate LTV for customers acquired in 2024. This is your 'before' number; (2) NEW COHORT after intervention — customers acquired AFTER you implemented retention campaigns (automated post-job texts, annual maintenance program, referral incentives). Wait 12-18 months for that cohort to mature; (3) DELTA — compare 2025 cohort LTV to 2024 cohort LTV at the same lifecycle stage. The delta is your retention-improvement ROI. Set improvement targets from your own baseline, measured over 18-24 months of systematic retention work. Retention campaigns often run without anyone measuring cohort LTV, on a feeling that they're working. The cohort framework forces measurement. Without it, retention investments feel like cost centers; with it, you can see whether they're paying back.

What's the right way to use LTV data when negotiating with vendors, agencies, or business partners?

Use LTV as the BIGGEST justification for premium ad spend or agency retainers — but anchor numbers conservatively. Three negotiation contexts: (1) AGENCY NEGOTIATION — when an agency proposes a $2,500/mo retainer, justify it with LTV math: 'Our customers are worth $3,200 average LTV at 35% margin, or $1,120 net each. At 5 booked jobs a month that's $5,600 of lifetime gross profit; the fee plus the ad spend should stay around a quarter of that ($1,400) and never pass half ($2,800), so a $2,500 fee on its own would already be close to the line.' Use gross profit, not revenue, for this math, or the ratio flatters the fee; (2) BUSINESS-PARTNERSHIP discussions (referral fees to plumbers/realtors etc.) — 'Each referred customer is worth $X LTV; I can afford a referral fee of up to about a quarter of that customer's lifetime gross profit' (the same rule as ad spend; a percentage of revenue can quietly take most of the profit); (3) BANK / LENDER applications — 'Our customer LTV of $3,200 with 35% gross margin = $1,120 gross profit per customer × ___ customers/year = $___ business-line earning power'. The pattern: convert LTV math into negotiation leverage. Negotiating from lifetime value gives you a clearer case than cost per job alone. The LTV framing changes how you advocate for your business with anyone you're paying or being paid by.