Long windows.
High tickets.
Real revenue.

Consideration runs weeks, purchase is emotional and seasonal, and last-click attribution will misread almost all of it. Catalogue depth and retargeting discipline decide the outcome.

6.96x
Verified ROAS
D2C jewellery brand
₹1.42Cr
Attributed revenue
Wedding-season window
−28%
Cost per purchase
Against prior period
01Sector challengesWhat actually breaks

Where jewellery and high-ticket retail campaigns usually fail.

01
Attribution windows

A purchase considered for six weeks will not attribute cleanly to a seven-day click window. Reporting has to reflect the real cycle.

02
Seasonal concentration

Wedding and festival demand compresses the year. Creative and budget have to be ready before the window, not during it.

03
Catalogue quality

Feed attributes, titles and imagery do more for retail performance than bid strategy ever will.

04
Trust at high ticket

Certification, exchange terms and provenance are conversion variables, not brand copy.

02What we runScope

The system we deploy here.

StrategyUnit economics

Target CAC modelled from margin and repeat value before spend.

MediaPaid acquisition

Meta and Google structured around this sector's intent pattern.

ConversionPages & qualification

Campaign pages and forms that filter as they collect.

IntelligenceCRM & attribution

Spend traced through to confirmed revenue in your records.

03FAQEditable in CMS

Performance marketing for jewellery and high-ticket retail.

How do you handle offline purchases?

Store visits and offline sales are imported back as conversions where the CRM supports it, so bidding sees the real revenue.

Meta or Google for jewellery?

Meta for discovery and catalogue retargeting, Search for high-intent capture. Most brands need both, weighted by season.

Do you need product photography?

Existing assets are usually enough to start. We will tell you where a shoot would materially change performance.

Next stepNo obligation

Ready to make acquisition accountable to revenue?

Send us your current numbers and we'll tell you where the system leaks — the target CAC you should be working to, and whether your economics support scaling at all. You keep the findings either way.

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