Artyz Furniture · v4.0 · 2026-05-14
Four tiers. Stress-test the math live. Pick the level of investment that matches Artyz's appetite for the next year.
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Live controls · stress-test the math
Drag the sliders. Toggle the scenario. Watch every number recalculate in real time.
Mid-band of verified India 2026 benchmarks. The defensible default.
Tier 2 · Standard
₹58L · 12 months
Channels active
5 of 8
Influencer layers active
2 of 4
Pre-Puja sprint sustained
Yes (8 weeks)
What this returns
Attributable revenue (full year)
₹2.9 Cr
Band: ₹2.1Cr → ₹3.8Cr
Walk-ins / month (D90)
30
+19 over baseline
Sales / month (D90)
3.3
at 11% close
Blended ROAS (steady)
5.5×
Band: 4.5× → 7.0×
Pre-Puja sprint peak
8.5×
Aug 10 – Oct 5 window
Account growth (followers)
38 → 1,400 by D90
12-mo target 4,500 qualified
Spend leads, revenue follows (~6 weeks)
The ₹78L (or whichever tier) doesn't go out as a single cheque — it phases monthly. Revenue trails by ~6 weeks. Break-even crossover is the moment cumulative revenue overtakes cumulative spend.
Break-even month
Month 4
Peak monthly revenue
₹28L
in Month 9 (Pre-Puja)
Cumulative 12-mo profit*
₹2.3Cr
*assuming 50% gross margin
vs preceding tier
Median scenario · default close · default AOV
| Metric | Tier 1 · Lean | Tier 2 · Standard | Tier 3 · Aggressive | Tier 4 · Premium |
|---|---|---|---|---|
| Annual investment | ₹42L | ₹58L | ₹78L | ₹98L |
| Marginal spend | baseline | +₹16L | +₹20L | +₹20L |
| Walk-ins per month (D90) | 22 | 30 | 42 | 52 |
| Sales per month (D90) | 1.8 | 3.3 | 5.5 | 7.3 |
| Monthly revenue (D90) | ₹9.9L | ₹18L | ₹30L | ₹40L |
| 12-month attributable revenue | ₹1.7Cr | ₹2.9Cr | ₹5.3Cr | ₹7.1Cr |
| Marginal revenue | baseline | +₹1.2Cr (7.5× marginal) | +₹2.4Cr (12× marginal) | +₹1.8Cr (9× marginal) |
| Blended ROAS (steady) | 4.0× | 5.5× | 7.5× | 8.5× |
| Pre-Puja sprint peak ROAS | 6× | 8.5× | 11× | 13× |
| IG followers (D90) | ~800 | ~1,400 | ~3,200 | ~5,500 |
| Editorial placements (12mo) | 0 | 1 | 2 | 3 |
| Tollywood / celebrity Reel drops | 0 | 0 | 1 | 2 |
All numbers assume Phase 0 (MCA + GST + DPDPA + TRAI) is cleared before spend begins. AOV ₹5.5L baseline, walk-in attribution SOP live, sales-team uplift programme funded from Tier 2 onward. Numbers are mid-band defensible projections from verified 2026 India Meta benchmarks (Superads $3B dataset, AdAmigo, Lebesgue, DigitalApplied) — not best-case claims.
Every tier upgrade buys a step-change, not a linear bump. The marginal rupee buys more revenue at Tiers 2 → 3 than anywhere else — that's where Tollywood + editorial + uplift programme compound.
Tier 1 → 2
+₹16L spend
+₹1.2Cr revenue
Marginal ROAS · 7.5×
LinkedIn captures one architect; uplift programme adds 3pp close rate
Tier 2 → 3 · best step
+₹20L spend
+₹2.4Cr revenue
Marginal ROAS · 12×
Jisshu/Rituparna Reel + editorial + Tssifira bridal event compound
Tier 3 → 4
+₹20L spend
+₹1.8Cr revenue
Marginal ROAS · 9×
Diminishing returns — Kolkata premium audience saturates; brand-building > pure ROAS
Recommendation: if budget allows, Tier 3 is the sweet spot. Tier 2 → Tier 3 buys the highest marginal return in the plan. Tier 4 is for category-defining ambition, not pure revenue lift.
Meta is 60% of the ad budget — ₹1,20,000/month at steady state, scaling to ₹1,80,000 during the Pre-Puja sprint. Its job: take someone in Alipore who has never heard of Artyz and move them, over a few weeks, to standing on the Topsia showroom floor. It runs as a three-stage relay — three ads, each handing off to the next.
Ad 1 · Discover
₹30K/mo
Get discovered
Short Reels that stop the scroll. One goal — get the right Kolkata people to look at the Artyz profile.
Why: 38 followers today. Before anyone can buy, they have to discover you exist. Uses Meta's 2026 Maximise Profile Visits objective.
Ad 2 · Convert · biggest slice
₹60K/mo
Find the real buyers
Meta's AI, fed with your actual showroom sales. When someone walks in and buys, Meta learns "find more people like that."
Why: Without this, Meta wastes spend on window-shoppers. With it, it hunts for people who behave like real buyers. Advantage+ Sales — the single biggest upgrade over v3.
Ad 3 · Close
₹24K/mo
Bring them in
Goes only to people who already showed interest. One button — start a WhatsApp chat, or get directions to Topsia.
Why: A ₹5L purchase is never one click. This catches the ready ones at the moment of intent — no form, no website, just a chat.
Plus ₹6,000/month to test new ad ideas before committing real budget. Total ₹1,20,000/month = 60% of the ₹2L monthly ad spend. The mix shifts over the year — discover-heavy in Months 1-3 while there's no audience yet, then bring-them-in-heavy from Month 4 once there's a warm pool to harvest.
What the ads look like — 5 formats in rotation
Hard rule on every single ad: no price on screen, ever. Price discovery happens in the WhatsApp chat or the showroom — where it can be framed with craft and customisation, not flinched at mid-scroll.
Who sees them — 3 filters
What we deliberately don't do
The one-line version: Meta's money does three jobs in sequence — get strangers to discover you, let Meta's AI learn who your real buyers are from actual showroom sales, then make it one tap for the ready ones to start a chat or get directions. Everything aimed at footfall, nothing at vanity.
Layers grey out below your selected tier
Influencers aren't all one thing. Four layers, four jobs. The tighter a creator's audience match to "Kolkata person furnishing a home," the higher and more reliable the return.
Honest note: influencer return is less precise than ad return. Layer 1 is the tightest match and the highest confidence. Layer 3 is broad reach + credibility — lower direct return, but it feeds the warm audience that Meta then harvests. Per-creator figures are indicative per-engagement rates; the per-tier total below reflects how many are activated and how often across the year.
Influencer spend at Tier 2
₹5.5L / year
Blended influencer return
4-6×
@design.on.the.go
Neha Jhunjhunwala · ~80K Kolkata
@interiorjagat
Ashish Kumar · ~76K Kolkata
@decorholics_abode
Neha Anindya Singh · ~69K Kolkata
@throughmypinkwindow
Papri Ganguly · ~230K Kolkata
Aisha
Forbes India Top 100 Digital Stars · ~1M+
@MrittikaBhunia
~863K · verify Kolkata share first
@senguptajisshu ★ recommended
Jisshu U Sengupta · ~460K
@rituparnaspeaks
Rituparna Sengupta · ~900K
@watchanish
Anish Bhatt · ~1.9M
@mimichakraborty not recommended
~3.6M
@calcuttahouses
~21K · heritage architecture
Tssifira Weddings
Top-10 Kolkata luxury wedding planner
As you move up tiers, total influencer spend rises but blended return softens — because higher layers buy broader reach and brand credibility, not just tight-match conversion. That is by design: Layer 1 converts, Layer 3 builds the name that makes everything else cheaper to convert later.
Critical · operator action this week
External adversarial audit (Gemini Deep Research, 2026-05-13) cites Tracxn + IndiaFilings sources claiming Furnest Decor Pvt Ltd has pending MCA filings (AOC-4, MGT-7) with accumulated penalties ~₹5.47L. If true, this may also block GST Input Tax Credit on advertising spend — costing ₹4.68L on the ₹26L Meta commit alone.
If clean
Proceed
All tiers viable as priced
If MCA defaults
~₹5.5L fix
Add to budget; clear filings before spend
If GST ITC blocked
−₹4.68L
18% of ₹26L Meta is unrecoverable
Action: 30-minute call with CA. This is the only thing blocking the plan from starting.
| # | Decision | Required from |
|---|---|---|
| D1 | Phase 0 compliance verification with CA | Tier 1+ |
| D2 | Phone number lock (9903221792 vs 91473 67153) | Tier 1+ |
| D3 | Choose tier · sign annual commit | Tier 1+ |
| D4 | Sales-team uplift programme ₹75K + ₹40K/mo | Tier 2+ |
| D5 | CRM + Meta CAPI integration (Zoho/Salesforce) | Tier 1+ |
| D6 | WABA chatbot (WATI / Interakt) | Tier 1+ |
| D7 | 2-day production shoot (₹40K) | Tier 1+ |
| D8 | Designer-in-Residence subsidy (₹50K cost-of-goods × 2) | Tier 1+ |
| D9 | Showroom events (1 / 2 / 3 / 4 per tier) | Tier 1+ |
| D10 | Layer 2 lifestyle influencer activation | Tier 2+ |
| D11 | Editorial PR placement (1 / 2 / 3 outlets per tier) | Tier 2+ |
| D12 | Tollywood celebrity Reel (Jisshu Sengupta recommended) | Tier 3+ |
| D13 | Tssifira Weddings bridal-registry event at Topsia | Tier 2+ |
| D14 | Bengali bilingual relaxation (VO/subtitles in influencer Reels) | Tier 1+ |
| D15 | Customer permission policy for in-home BOFU creative | Tier 1+ |
| D16 | Brand film production (₹30K, evergreen) | Tier 2+ |
My recommendation
Tier 2 → Tier 3 is the highest-marginal-return step in the plan (₹12 of revenue per additional ₹1 of spend). Tier 3 buys you Jisshu Sengupta's Bengali-HNI audience, two editorial placements, the full sales-uplift programme, and the WABA-CRM infrastructure that makes ROAS attribution defensible. At Tier 2 the brand still grows; at Tier 4 you spend ₹20L extra for an additional ₹1.8 Cr because Kolkata's premium audience starts saturating. Tier 3 is where the math is sharpest.
If cash flow constrains the decision, Tier 2 is honest and defensible. v3 of this plan (dated 2026-05-13) projected ROAS at 15-22× — that number was rejected by both Gemini and Perplexity adversarial audits as built on broken assumptions. v4 numbers above are what the audits agreed is defensible. Best-in-class for a 38-follower premium furniture brand in India 2026 is 5-8× steady, 8-12× during a festive sprint. Anything higher than that, in any pitch from anyone, is a lie.
— Rohit, YKC Media · 2026-05-14
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Every marketing term Chirag might pause on, in plain English. No ad-agency speak.
Costs & metrics
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Meta features & products
Compliance & Indian regulation
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