SUCCESS STORIES 63 brands · 27 case studies · real data

₹134 Cr in Amazon revenue. Across 63 brands.

Real numbers from real client accounts. 27 case studies below — each one a brand we actively manage. Pick a category, see the work, decide if we're the right team for yours.

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Portfolio aggregate · real numbers

5.35x

Blended ROAS

18.7%

Blended ACOS

1M+

Orders Shipped

2.29 Bn

Impressions

Amazon Revenue

₹134 Cr+

Ad-Attributed Sales

₹55 Cr+

Brands Managed

63

Case Studies

27

Industries we manage
Dry FruitsPlant-Based F&BFashion & ApparelHome DécorTech AccessoriesPhone AccessoriesIndustrial HardwareB2B ComponentsHardware ToolsAuto AccessoriesReal EstateBeauty AcademiesAviation TrainingAstrologyNon-Profit

The work

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★ Featured · Full Portfolio · 63 brands

₹134.49 Cr in Amazon Revenue Across 63 Brands

ATIL managed Amazon advertising for 63 brands — generating ₹134.49 Cr in total Amazon revenue, 1M+ orders, at 18.7% blended ACOS and 5.35x ROAS. ₹55.19 Cr ad-attributed sales. 143,897 new-to-brand customers acquired.

Read the full portfolio breakdown →

₹134.49 Cr

Total Amazon Revenue

₹55.19 Cr

Ad-Attributed Sales

₹10.32 Cr

Total Ad Spend Managed
Automaze: Conversion Rate 3.12% → 3.6% (+15.4%), Ad Sales ₹1.65 Cr → ₹1.91 Cr (+15.8%)
Automotive Accessories Amazon Ads

Automaze: Conversion Rate 3.12% → 3.6% (+15.4%), Ad Sales ₹1.65 Cr → ₹1.91 Cr (+15.8%)

Automotive accessories Vendor Central account. Thin per-SKU margin meant standard scaling tactics (lift ACOS to drive volume) would destroy profitability. Brand needed volume expansion at flat ACOS — a structurally harder requirement than the typical 'pay more, sell more' play.

3.12% → 3.6%

Conversion Rate

₹1.65 → ₹1.91 Cr

Ad Sales

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Casa Metallic: NTB% 22.8% → 56.9% (+149.6%), Conversion Rate 0.98% → 1.54% (+57.1%)
Home & Décor Amazon Ads

Casa Metallic: NTB% 22.8% → 56.9% (+149.6%), Conversion Rate 0.98% → 1.54% (+57.1%)

New-ish home-décor brand competing with established players. Conversion rate stuck at 0.98% on visual-first category. Existing buyers were the bulk of orders — only 22.8% of orders were new customers. Needed to break out of the 'retention-only' growth trap while holding margin.

22.8% → 56.9%

New-to-Brand %

0.98% → 1.54%

Conversion Rate

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D2C Multi-Category: 9.55× ROAS, ₹4.60 Cr Amazon Revenue
D2C / Multi-Category Amazon Ads

D2C Multi-Category: 9.55× ROAS, ₹4.60 Cr Amazon Revenue

Multi-SKU D2C catalogue with strong organic discovery on Amazon. Risk: existing customers kept buying through brand search — ad spend was mostly farming retention, not building new-customer acquisition. Brand needed audience expansion without breaking the unit economics.

9.55×

Blended ROAS

₹4.60 Cr

Total Amazon Revenue

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Fitinc Apparels: CTR 0.25% → 0.43% (+72%), Total Amazon Revenue ₹0.88 Cr → ₹1.14 Cr (+29.5%)
Fashion / Apparel Amazon Ads

Fitinc Apparels: CTR 0.25% → 0.43% (+72%), Total Amazon Revenue ₹0.88 Cr → ₹1.14 Cr (+29.5%)

Fashion category on Amazon India: 20–30% return rates (vs 8–12% other categories), brutal image-relevance ranking, and 4–6 week demand cycles. Brand needed click-quality lift + total-revenue expansion — without the typical fashion-category ACOS blowout.

0.25% → 0.43%

CTR

₹0.88 → ₹1.14 Cr

Total Revenue (per window)

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GoVegan: ROAS 7.34x → 8.78x (+19.6%), Total Amazon Sales ₹2.46 Cr → ₹6.7 Cr (+172.4%)
Plant-Based Food & Beverage Amazon Ads

GoVegan: ROAS 7.34x → 8.78x (+19.6%), Total Amazon Sales ₹2.46 Cr → ₹6.7 Cr (+172.4%)

Plant-based F&B brand competing in a category dominated by established players. ACOS was holding at 13.6%, but TACOS pressure was building — organic sales not keeping pace with ad-driven volume. Needed to expand the total Amazon footprint, not just the ad-attributed slice.

7.34x → 8.78x

ROAS

₹2.46 → ₹6.70 Cr

Total Amazon Revenue

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Handicrafts Brand: ₹1.42 Cr Revenue at 3.67× ROAS
Handicrafts Amazon Ads

Handicrafts Brand: ₹1.42 Cr Revenue at 3.67× ROAS

Handicrafts on Amazon is a long-tail category — hundreds of low-volume SKUs, each with distinct buyer intent. Traditional campaign structures don't work; brand needed automation to maintain breadth without losing efficiency.

3.67×

Blended ROAS

₹1.42 Cr

Total Amazon Revenue

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Health Drinks D2C: ₹5.57 Cr Amazon Revenue at 4.41× ROAS
Beverage / Health Drinks Amazon Ads

Health Drinks D2C: ₹5.57 Cr Amazon Revenue at 4.41× ROAS

Health-drinks brand entering a saturated category dominated by 4–5 incumbents. Needed scale + ROAS together — most challenger brands in beverage burn cash on impression-led plays. The brief: prove that disciplined ad spend can compound revenue without breaking the cost structure.

₹5.57 Cr

Total Amazon Revenue

₹2.25 Cr

Ad-Attributed Sales

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Home & Living Brand: 8.11× ROAS, ₹3.49 Cr Amazon Revenue
Home & Living Amazon Ads

Home & Living Brand: 8.11× ROAS, ₹3.49 Cr Amazon Revenue

Home category has long consideration cycles + visual-decision dynamics. Most brands in the space either over-spend on Sponsored Display retargeting or under-invest in lifestyle creative. Brand needed both, balanced.

8.11×

Blended ROAS

₹3.49 Cr

Total Amazon Revenue

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Hospitality Brand: 4.44× ROAS, ₹2.32 Cr Amazon Revenue
Hospitality / Travel Amazon Ads

Hospitality Brand: 4.44× ROAS, ₹2.32 Cr Amazon Revenue

Hospitality / travel category on Amazon is unusual — most SKUs are accessories (luggage, travel gear) with strong seasonal patterns. The category has lower NTB% than D2C food/personal-care, but higher AOV. The brief: sustain ROAS through seasonality without overspending in pre-peak periods.

4.44×

Blended ROAS

₹2.32 Cr

Total Amazon Revenue

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Industrial Hardware Brand: 4.68× ROAS at Tight ACOS
Industrial Hardware Amazon Ads

Industrial Hardware Brand: 4.68× ROAS at Tight ACOS

Industrial hardware on Amazon has narrow buyer intent — buyers usually know exactly what they need. Ad spend gets wasted on broad reach. Brand needed precision targeting + heavy reliance on the halo effect to scale total Amazon revenue.

4.68×

Blended ROAS

₹2.05 Cr

Total Amazon Revenue

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JADEMECH: 31.6% NTB Orders at 6.59x ROAS — ₹2.37 Cr Total Amazon Revenue
Hardware / Tools Amazon Ads

JADEMECH: 31.6% NTB Orders at 6.59x ROAS — ₹2.37 Cr Total Amazon Revenue

Mid-stage hardware brand. Existing customers kept buying — easy ACOS, no compounding growth. Brand needed to break out of the retention ceiling without ACOS blowout. Hardware/tools categories cluster at 8–15% NTB rates; pushing past that requires disciplined audience expansion.

6.59x

ROAS

31.6%

New-to-Brand Orders

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Lifestyle & Gifts Brand: 5.54× ROAS on Amazon
Lifestyle & Gifts Amazon Ads

Lifestyle & Gifts Brand: 5.54× ROAS on Amazon

Gifting categories on Amazon are 70%+ festival-concentrated — Diwali, Raksha Bandhan, Valentine's, Mother's/Father's Day, weddings. Off-season spend rarely pays back. The brief: maximise festival window ROAS, minimise off-season burn.

5.54×

Blended ROAS

₹1.25 Cr

Total Amazon Revenue

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LuxuryKase: ACOS 16.8% → 10.5% (−37%), ROAS 5.94x → 9.53x (+60%)
Phone Accessories Amazon Ads

LuxuryKase: ACOS 16.8% → 10.5% (−37%), ROAS 5.94x → 9.53x (+60%)

Saturated phone-case category with thousands of nearly-identical competitors. ACOS had drifted to 16.8% with high click-spend on low-intent broad-match traffic eroding margin. No defensive brand coverage. Bid uniformity across devices despite very different CVRs.

16.8% → 10.5%

ACOS

5.94x → 9.53x

ROAS

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Nutraj: ROAS 6.0x → 6.89x (+14.8%), ACOS 16.7% → 14.5% (−13.2%), Ad Sales +8.7%
Food & Dry Fruits Amazon Ads

Nutraj: ROAS 6.0x → 6.89x (+14.8%), ACOS 16.7% → 14.5% (−13.2%), Ad Sales +8.7%

Large multi-category catalog (dry fruits, nuts, seeds, spices) needed campaign management at a frequency no human team could sustain. Manual bid optimisation was leaving 12–18% margin on the table per month. ROAS was holding at 6.0x but ACOS pressure was rising on competitive keywords.

6.0x → 6.89x

ROAS

16.7% → 14.5%

ACOS

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Phone Accessories Brand: 6.48× ROAS on Amazon
Phone Accessories Amazon Ads

Phone Accessories Brand: 6.48× ROAS on Amazon

Phone-accessories on Amazon India is brutally competitive — thousands of look-alike SKUs, aggressive pricing, frequent device-launch demand spikes. Brand needed precision targeting + match-type discipline to avoid burning spend on low-intent traffic.

6.48×

Blended ROAS

₹1.80 Cr

Total Amazon Revenue

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Synergy Etrade: 9.62x ROAS — Best in Our Portfolio — 10.4% ACOS, ₹3.09 Cr Ad Sales
Industrial / B2B Components Amazon Ads

Synergy Etrade: 9.62x ROAS — Best in Our Portfolio — 10.4% ACOS, ₹3.09 Cr Ad Sales

B2B industrial-component category with high-consideration buying cycles. ROAS targets needed to be exceptional to justify Amazon advertising spend over direct B2B channels. Consumer playbooks (broad reach, retargeting flush, discount stacking) actively underperform in this category.

9.62x

ROAS

₹3.09 Cr

Ad-Attributed Sales

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Synergy International: Conversion Rate 6.07% → 11.2% (+84.5%), Ad Sales ₹0.64 Cr → ₹1.65 Cr (+157.8%)
Industrial Hardware Amazon Ads

Synergy International: Conversion Rate 6.07% → 11.2% (+84.5%), Ad Sales ₹0.64 Cr → ₹1.65 Cr (+157.8%)

Industrial hardware brand. Existing campaigns ran at 16.7% ACOS, 5.98x ROAS, 6.07% conversion rate. Long category consideration windows blocked NTB acquisition. Brand needed conversion lift + audience expansion — without raising ACOS.

6.07% → 11.2%

Conversion Rate

5.98x → 9.18x

ROAS

Read story →
Techhark: Conversion Rate 11.38% → 14.26% (+25.3%), Orders 5,423 → 8,115 (+49.6%)
Tech Accessories Amazon Ads

Techhark: Conversion Rate 11.38% → 14.26% (+25.3%), Orders 5,423 → 8,115 (+49.6%)

Tech accessories category with cyclical demand patterns (new device launches trigger demand spikes), frequent SKU churn, and aggressive competitor pricing. Needed a system that scaled volume during demand windows without breaking the blended ACOS ceiling.

11.38% → 14.26%

Conversion Rate

5,423 → 8,115

Orders

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Anjan Fashion: ₹21 Cost per Messaging Conversation — 4,039 WhatsApp Chats from ₹86k Spend
Fashion / Apparel Meta Ads

Anjan Fashion: ₹21 Cost per Messaging Conversation — 4,039 WhatsApp Chats from ₹86k Spend

Fashion D2C brand selling through WhatsApp catalogue + agent-led closing — no Shopify checkout. Every customer touch starts with a Meta-driven WhatsApp conversation. Cost per conversation drives the entire unit economic. Pre-engagement: ₹38/conversation, click quality drifting downward as audiences saturated.

₹38 → ₹15

Cost per Conversation

4,039

Conversations Delivered

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Carloginn: ROAS 4.12x → 5.37x (+30%), Cost per Purchase ₹187 → ₹142 (−24%) on Meta Ads
Auto Accessories / D2C Meta Ads

Carloginn: ROAS 4.12x → 5.37x (+30%), Cost per Purchase ₹187 → ₹142 (−24%) on Meta Ads

Carloginn — car accessories D2C brand (key covers, car curtains, metal alloy items). Account spending ₹10L+ per month on Meta Ads at 4.12x ROAS with cost per purchase drifting to ₹187. Funnel was leaking at every stage: ATC rate stuck at 9–11%, retargeting CAs underperforming, no Advantage+ Shopping coverage.

₹5.77 Cr

Total Meta Ads Revenue

₹1.21 Cr

Total Spend

Read story →
Casa Trance: 9,353 Leads + 3,201 WhatsApp Conversations at ₹198 CPL — Real Estate Meta Ads
Real Estate / Property Meta Ads

Casa Trance: 9,353 Leads + 3,201 WhatsApp Conversations at ₹198 CPL — Real Estate Meta Ads

Real estate lead generation is one of the hardest Meta categories — high consideration cycles, expensive intent signals, broad-targeting that wastes spend on low-quality leads. Casa Trance was running pure lead-form campaigns with CPL drifting upward and no messaging-conversation channel.

9,353

Leads Delivered

3,201

Messaging Conversations

Read story →
IXE Aviation: 564 Pilot-Training Leads at ₹65 CPL — High-Ticket B2C Lead Gen on Meta
Aviation Training Meta Ads

IXE Aviation: 564 Pilot-Training Leads at ₹65 CPL — High-Ticket B2C Lead Gen on Meta

Aviation training is one of the highest-ticket B2C categories in India — course fees range ₹15–40 L per programme. Lead intent is critical; broad lead-gen campaigns produce volumes of unqualified clicks. IXE needed a programme that delivered low-volume, high-intent leads matched to the course fee economics.

564

Leads Delivered

₹65 blended

Cost per Lead

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Master Makeup Academy: 17,597 WhatsApp Conversations + 3,837 Leads — Cost per Message ₹47 → ₹24 (−49%)
Beauty / Education Meta Ads

Master Makeup Academy: 17,597 WhatsApp Conversations + 3,837 Leads — Cost per Message ₹47 → ₹24 (−49%)

Beauty/makeup academy selling admissions to working professionals + students. Long consideration cycle (3–8 weeks from inquiry to enrollment), high-touch sales process. Volume-led ad spend was generating clicks but not enough conversations to feed the admissions team. Cost per message at ₹47 was acceptable but blocking scale.

17,597

Messaging Conversations

₹47 → ₹24

Cost per Message

Read story →
Astrowala Belagavi: Desktop PageSpeed Hits 90
Astrology / Consulting Web Perf

Astrowala Belagavi: Desktop PageSpeed Hits 90

Astrowala's NPR-affiliated WordPress site had 315 images, mostly large JPGs exported from Canva, eating 111 MB of bandwidth per page load and pushing PageSpeed scores into the red zone.

90/100

Desktop PageSpeed

0.8s

Desktop LCP

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PageSpeed 100 on Desktop, 99 on Mobile for Anjan Fashion Design
Fashion / Apparel Web Perf

PageSpeed 100 on Desktop, 99 on Mobile for Anjan Fashion Design

Anjan Fashion Design's WordPress + Elementor site was slow to load product imagery — a problem for a fashion brand where visual presentation is the whole pitch.

100/100

Desktop PageSpeed

99/100

Mobile PageSpeed

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PageSpeed 67 → 88 for Sathya Trust: 90% Faster LCP
Non-Profit / Charity Web Perf

PageSpeed 67 → 88 for Sathya Trust: 90% Faster LCP

Sathya Trust's Astra + Elementor WordPress site was scoring 60 on mobile PageSpeed and 67 on desktop. Largest Contentful Paint took 27 seconds on mobile — donation CTAs were invisible when users needed them most.

67 → 88

Desktop PageSpeed

60 → 75

Mobile PageSpeed

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Methodology

How we report these numbers.

Source

Direct exports from Amazon Ads Console + Seller Central + Brand Analytics. No estimates, no platform aggregates.

Window

Continuous window across all 63 brands. Same accounts across the full window — no cherry-picking of best months, no selective brand exclusions.

Disclosure

Client names public only where we have written permission. Numbers cross-verified during onboarding for prospective clients on request.

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