Food & Dry Fruits

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

Multi-category dry fruits brand. ROAS climbed 14.8% while ACOS dropped 13.2%. Orders grew from 67,704 to 76,046. Total ad sales: ₹14.94 Cr. Here's exactly what we did and what each action produced.

6.0x → 6.89x

ROAS

16.7% → 14.5%

ACOS

₹3.68 → ₹4.0 Cr

Ad Sales

67,704 → 76,046

Orders

₹46.04 Cr

Total Amazon Revenue (full account)

₹14.94 Cr

Total Ad Sales (full account)

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

The Challenge

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.

What the brand looked like before we engaged

Multi-category dry fruits + nuts + seeds + spices catalog. 280+ active SKUs. Campaigns ran at:

  • ROAS: 6.0x
  • ACOS: 16.7%
  • CTR: 0.95%
  • CVR: 23.4%
  • Ad sales: ₹3.68 Cr (first window)
  • Orders: 67,704

The catalog was too large for manual bid management — bids fell behind market by 24–48 hours, leaking spend to over-bidding on declining keywords.

Exact action → exact result

Action 1: Hourly bid management on top 80 SKUs via ScaleSkus

Replaced manual bid optimisation (weekly cadence) with ScaleSkus hourly automation across the top revenue SKUs. Bid floors + ceilings set per SKU based on margin, inventory health, and keyword competitiveness.

Result: ACOS dropped from 16.7% → 14.5% (−13.2%). Same revenue, lower spend.

Action 2: Search-term harvesting into auto-→manual promotion flow

Auto campaigns harvested converting search terms, which were promoted to manual exact-match campaigns within 48 hours of crossing a CVR threshold. The auto-discovery → manual-exploitation pipeline ran continuously.

Result: Orders climbed from 67,704 → 76,046 (+12.3%) on a falling ACOS. CTR lifted 0.95% → 1.02% (+7.4%) — tighter targeting on harvested terms.

Action 3: Negative-keyword automation

Negatives applied to 22,000+ low-intent matches automatically. Spend leakage on terms like “free shipping,” “cheap,” “discount” — eliminated.

Result: Wasted spend (clicks that historically converted at under 0.5%) cut by ~18%. The savings funded the ROAS expansion.

Action 4: Seasonal pre-pacing for festival windows

Diwali, Independence Day Sale, Holi — budget pre-loaded 2–3 weeks before each demand spike. Most agencies land mid-event; we ran into events with full inventory + maximum bid coverage.

Result: ROAS climbed from 6.0x → 6.89x (+14.8%). Top revenue months were the festival pre-windows.

Overall result on the Nutraj account

  • ROAS: 6.0x → 6.89x (+14.8%)
  • ACOS: 16.7% → 14.5% (−13.2%)
  • Ad sales: ₹3.68 Cr → ₹4.0 Cr (+8.7%)
  • Orders: 67,704 → 76,046 (+12.3%)
  • CTR: 0.95% → 1.02% (+7.4%)
  • Total ad sales delivered (full account): ₹14.94 Cr
  • Total Amazon revenue (full account): ₹46.04 Cr
  • Active SKUs managed: 280+
  • Bid adjustments automated per day: 2,400+

What ATIL takes from the Nutraj account

  1. Automation pays back in ACOS reduction, not headline growth. The ROAS lift is the visible win — the hidden win is the 13% ACOS reduction on a ₹14.94 Cr ad spend window.
  2. Large catalogs require hourly bid cadence. Weekly bid management on 280 SKUs is structurally lossy. Software has to do this work.
  3. Festival pre-pacing is the biggest single revenue lever. A 14-day budget pre-load before Diwali outperforms any other optimisation we’ve measured.

Free Amazon audit — we’ll size the automation opportunity on your catalog.

Result

ROAS 6.0x → 6.89x (+14.8%). ACOS 16.7% → 14.5% (−13.2%). Ad sales ₹3.68 Cr → ₹4.0 Cr (+8.7%). Orders 67,704 → 76,046 (+12.3%). Click-through rate 0.95% → 1.02% (+7.4%).

6.0x → 6.89x

ROAS

16.7% → 14.5%

ACOS

₹3.68 → ₹4.0 Cr

Ad Sales

67,704 → 76,046

Orders

₹46.04 Cr

Total Amazon Revenue (full account)

₹14.94 Cr

Total Ad Sales (full account)

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