Automotive Accessories

Automotive Accessories Brand: ₹2.80 Cr From a 830-Campaign Account

Confidential automotive accessories brand, Amazon India vendor account. 4.22× ROAS, 11.21% TACoS, ₹1.38 Cr ad sales across 90.9M impressions. How a full-funnel SP+SB+SD structure is actually run.

₹2.80 Cr

Total Amazon Revenue

₹1.38 Cr

Ad-Attributed Sales

4.22×

Blended ROAS

11.21%

TACoS

830

Active Campaigns

90 days, Jun–Aug 2026

Period

Under NDA

Client Name

Live vendor account + Amazon Sales & Traffic

Data Source

Automotive Accessories Brand: ₹2.80 Cr From a 830-Campaign Account

The Challenge

A catalogue this wide — hundreds of fitment-specific SKUs across vehicle makes and models — cannot be advertised with a handful of campaigns. Every part fits some cars and not others, so broad targeting wastes spend on shoppers who cannot buy the item. The account needed granularity without becoming unmanageable.

Quick answer

An automotive accessories brand on Amazon India ran 830 active campaigns across Sponsored Products, Brands and Display, producing ₹2.80 Cr of total revenue in 90 days from ₹31.35 L of spend — a 4.22× ROAS at 11.21% TACoS, with roughly half of revenue (50.7%) arriving organically.

Fitment-driven catalogues need campaign granularity that would be absurd in most categories. This is what that looks like when it is run properly.

The numbers

MetricValue
Total Amazon revenue₹2.80 Cr
Ad-attributed sales₹1.38 Cr
Ad spend₹31.35 L
ROAS4.22×
TACoS11.21%
Organic share50.7%
Impressions90.9 M
Clicks7,44,724
Click-through rate0.82%
Sponsored Brands ROAS5.45×
Sponsored Display ROAS6.96×

Period: 4 June – 1 September 2026, settled through 31 August. Live vendor account, not estimated.

Why the name is withheld

Client name protected under NDA. All metrics from the live account.

What we did

1. Granularity matched to fitment, not to convenience

In automotive, a keyword is only valuable to the shopper whose vehicle it fits. Campaign structure follows fitment — make, model, year, part type — because that is the only way bid and budget can respond to how demand actually differs. 830 active campaigns is not complexity for its own sake; it is one control surface per real buying situation.

2. Ran the full funnel, and measured each part separately

Sponsored Display returned 6.96× and Sponsored Brands 5.45×, both ahead of Sponsored Products. That ordering is only visible if the three are budgeted and judged independently rather than blended into one number — and it is the signal that tells you where the next rupee should go.

3. Accepted a working TACoS

At 11.21%, this account is buying share, not defending it. That is the correct posture for a catalogue still expanding its fitment coverage, and it is why the TACoS here is five times higher than a mature account’s — deliberately.

4. Kept 830 campaigns manageable with automation

Bid and budget changes at this count cannot be manual. Software handles the adjustments; the team decides structure, sequencing and which parts of the catalogue deserve investment next.

What a 0.82% CTR tells you

Above the Amazon India average for accessories, and it matters more than it looks: in fitment categories a high CTR usually means the targeting is reaching people whose vehicle actually matches. Low CTR in automotive is rarely a creative problem — it is a fitment-targeting problem.

Is 4.22× ROAS good for automotive accessories?

For a brand actively expanding catalogue coverage, yes. Mature single-SKU accounts in less competitive categories reach far higher, but they are not doing the same job. The number to judge is TACoS against growth stage, not ROAS in isolation.

Free Amazon audit — we will run the same diagnostic on your account.

Result

₹2.80 Cr total Amazon revenue at 11.21% TACoS. 4.22× ROAS on ₹31.35 L of spend, with Sponsored Display returning 6.96× and Sponsored Brands 5.45%.

₹2.80 Cr

Total Amazon Revenue

₹1.38 Cr

Ad-Attributed Sales

4.22×

Blended ROAS

11.21%

TACoS

830

Active Campaigns

90 days, Jun–Aug 2026

Period

Under NDA

Client Name

Live vendor account + Amazon Sales & Traffic

Data Source

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