India CAC & payback benchmarks — 2026 dataset across 11 verticals

Most CAC benchmark reports are useless for Indian operators. They're either US-skewed (where a ₹5,000 CAC is "low" — try selling it to a D2C founder in Pune), or pulled from a self-selecting agency cohort small enough to mean nothing.

This is different. The numbers below come from 500+ ad accounts we've personally run, audited, or inherited across the last six years. INR primary, USD overlay (₹83/USD). Where the spread is too wide for a single number, we show a range plus a note on what moves you within it.

If you're new to your category, use these as a sanity check on your current performance and on any agency proposal you're being pitched. If you're outside the band, there's usually a specific, identifiable reason.

How to read the numbers

Three definitions that matter:

• CAC = total fully-loaded paid spend ÷ new paying customers (not leads). We deliberately ignore "cost per lead" because it inflates with bad-fit traffic.
• LTV:CAC = customer lifetime value ÷ CAC. Below 3:1 is a money-losing business at scale; 3–5:1 is healthy; above 7:1 usually means you're underspending.
• Payback = months to recover CAC in gross-margin dollars. Below 6 months = aggressive growth, 6–12 = healthy, 12+ = capital-intensive.

Numbers below are blended (paid + organic where applicable). Pure-paid CAC tends to run 30–60% higher.

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D2C — fashion, beauty, home

| Metric | Range | Healthy band | |---|---|---| | CAC | ₹400 – ₹1,800 ($5 – $22) | ₹600 – ₹900 | | LTV:CAC | 1.8 – 6:1 | 3.5:1 | | Payback | 3 – 14 months | 6 months |

What moves you within the band:

• Repeat rate is the lever. A 35% 90-day repeat rate halves effective CAC. Brands stuck below 20% repeat almost always have a product-market fit problem masquerading as an ad problem.
• AOV under ₹800 makes Meta near-impossible to scale profitably without a tripwire offer or a strong upsell.
• D2C food and supplements run higher CAC (₹900–₹1,800) but compound faster on subscription.

D2C — eCommerce (mid-AOV ₹2k–₹8k)

| Metric | Range | Healthy band | |---|---|---| | CAC | ₹800 – ₹3,500 ($10 – $42) | ₹1,200 – ₹2,000 | | LTV:CAC | 2.5 – 7:1 | 4:1 | | Payback | 4 – 11 months | 7 months |

This is the sweet spot for most direct-to-consumer brands in India — high enough margin to absorb meaningful CAC, low enough AOV to keep purchase frequency healthy. The brands that win here ship 30+ creative concepts per quarter and treat retention as a product problem, not an email problem.

D2C — high-AOV (jewellery, furniture, premium electronics, AOV ₹15k+)

| Metric | Range | Healthy band | |---|---|---| | CAC | ₹3,000 – ₹15,000 ($36 – $180) | ₹5,000 – ₹8,000 | | LTV:CAC | 2 – 5:1 | 3.5:1 | | Payback | First-purchase positive (typical) | — |

High-AOV usually means first-purchase profitable, so payback isn't the constraint. CAC scales with consideration time — jewellery has a 14–60 day decision window, which means lead nurture (WhatsApp/email/retargeting) often does more work than the top-of-funnel ad.

B2B SaaS — SMB (₹5k–₹30k MRR ACV)

| Metric | Range | Healthy band | |---|---|---| | CAC | ₹15,000 – ₹80,000 ($180 – $960) | ₹25,000 – ₹40,000 | | LTV:CAC | 3 – 12:1 | 5:1 | | Payback | 8 – 24 months | 12 months |

The biggest CAC compression we see in this segment comes from product-led signup paths. Brands that move from "book a demo" to "free trial + activation milestone" cut CAC by 40–60%, even when paid spend stays flat. The reason is simple — the bottleneck shifts from "qualified pipeline" to "in-product activation", which is cheaper to fix.

B2B SaaS — mid-market & enterprise (₹50k+ MRR ACV)

| Metric | Range | Healthy band | |---|---|---| | CAC | ₹1.5L – ₹10L ($1,800 – $12,000) | ₹2.5L – ₹5L | | LTV:CAC | 3 – 8:1 | 4:1 | | Payback | 12 – 30 months | 18 months |

At this ACV band, paid ads is rarely the dominant channel — it's outbound, partnerships, and category content. Brands that try to scale enterprise sales purely through Meta + Google waste 9–12 months learning that the buying committee doesn't click ads.

Edtech — K-12 + test prep

| Metric | Range | Healthy band | |---|---|---| | CAC | ₹600 – ₹3,500 ($7 – $42) | ₹1,200 – ₹2,000 | | LTV:CAC | 2 – 6:1 | 3.5:1 | | Payback | 2 – 8 months | 5 months |

Highly seasonal — June/July (admissions) and Jan/Feb (board exam prep) dominate. CAC compresses 30–50% during peak windows because intent volume spikes, but agencies that don't pre-build creative inventory miss the window entirely. We typically lock peak-season creative 10 weeks ahead.

Edtech — upskilling / professional courses

| Metric | Range | Healthy band | |---|---|---| | CAC | ₹800 – ₹6,000 ($10 – $72) | ₹1,500 – ₹3,000 | | LTV:CAC | 1.5 – 4:1 | 2.8:1 | | Payback | First-purchase positive (typical) | — |

The tighter LTV:CAC band reflects how this category actually works — most students take one course, finish (or don't), and don't return. Brands that build a multi-course path or a community subscription (Bootcamp + Pro tier) can lift LTV:CAC into the 3.5–5 range, but it's an explicit product decision.

Real estate — residential, lead-gen-driven

| Metric | Range | Healthy band | |---|---|---| | CAC (per booked site visit) | ₹1,500 – ₹6,000 ($18 – $72) | ₹2,500 – ₹3,500 | | Site-visit-to-booking conversion | 4 – 18% | 8 – 12% | | Payback (per project sale) | First-sale positive | — |

The real metric in real estate isn't CAC, it's CAC per booked site visit × site-visit-to-booking conversion. Most teams optimise the wrong half. Lowering site-visit cost from ₹3,000 to ₹2,000 sounds like a win, but if the conversion drops from 10% to 6%, the actual cost-per-booking went up.

For more on this category specifically, see our real estate marketing playbook.

Fintech — credit, lending, insurance

| Metric | Range | Healthy band | |---|---|---| | CAC (per approved customer) | ₹400 – ₹3,500 ($5 – $42) | ₹800 – ₹1,500 | | LTV:CAC | 2.5 – 8:1 | 4:1 | | Payback | Variable (regulatory) | 6 – 18 months |

Compliance constraints widen the CAC band more than any other category. Brands with strong RBI/IRDAI standing can run channels closed to competitors (search, broad audience targeting), which compresses CAC dramatically. The other half of the band is everyone else fighting over compliance-permissive inventory.

Healthcare — clinics, diagnostics, telemedicine

| Metric | Range | Healthy band | |---|---|---| | CAC | ₹500 – ₹2,500 ($6 – $30) | ₹900 – ₹1,400 | | LTV:CAC | 3 – 9:1 | 5:1 | | Payback | 2 – 6 months | 3 months |

Healthcare CAC is geographically tight — a 5km radius around a clinic is the real audience, not the city. Brands that try to scale by widening the geo-fence usually hit a wall because intent doesn't follow them. The lever here is trust velocity — testimonials, doctor profiles, before-after content — which lowers consideration time 30–50%.

Hospitality & travel

| Metric | Range | Healthy band | |---|---|---| | CAC (per direct booking) | ₹800 – ₹5,000 ($10 – $60) | ₹1,500 – ₹2,500 | | LTV:CAC | 1.5 – 4:1 | 2.5:1 | | Payback | First-booking positive (typical) | — |

The competitive set is OTAs (MakeMyTrip, Booking) — direct-booking brands have to either match price + add experience, or compete on a niche OTAs don't serve well (boutique stays, weekend trips, micro-categories). Most brands lose this fight. The ones that win usually have a strong content/SEO moat that outranks OTAs for category terms.

What this dataset doesn't include

A few categories where our sample is too small to publish responsibly:

• Quick commerce (Blinkit-style): we've run a handful but the unit economics shift monthly
• Web3/crypto: unstable, regulation-dependent
• Defence/aerospace B2B: pipeline length too long to attribute cleanly

We'll add these once we have enough accounts to filter the noise.

How to use these numbers

Three honest applications:

1. Sanity check your current CAC. If you're 50% above the healthy band, there's almost certainly a fixable pattern (bad creative testing cadence, leaky tracking, contaminated audiences). If you're 50% below, you may be undercounting attribution.
2. Stress-test agency proposals. Anyone promising a CAC well below the band's floor is either mis-attributing or about to be wrong. Push them to define how they're counting.
3. Plan ahead. Use the healthy band to set your ad budget, not the floor. Floor-band CAC requires near-perfect execution from day one — almost no brand achieves it without 6+ months of structured optimisation.

These benchmarks update once a year. If you want the methodology breakdown or have a vertical you want added, send us a note.