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HOME / CASE STUDIES / BEAUTY & SKINCARE · NATURAL COSMETICS MANUFACTURER · UKRAINE
B2B BEAUTY MANUFACTURER

Generated B2B leads for a Ukraine cosmetics manufacturer

A 10-year natural cosmetics manufacturer (body / face / hair) had seen ROAS collapse from 500%+ to 230% after three months of unattended in-house Google Ads.

CLIENT
Beauty & Skincare · Natural Cosmetics
ENGAGEMENT
Google Ads recovery + scale partner
TIMELINE
2023 / 2024
RESULTS VERIFIED IN MONTHLY REPORTING
Beauty & Skincare · Natural Cosmetics Manufacturer · Ukraine case study hero
1 / 4 CASE SNAPSHOT · 2023 / 2024
CLIENT SNAPSHOT
FOUNDED 10+ years
SECTOR Natural cosmetics · body · face · hair
HQ Ukraine
PLATFORM Google Ads · Shopping + PMax
STACK Google Ads · Google Standard Shopping
RECOGNITION Established natural cosmetics manufacturer
BACKGROUND

A 10-year natural cosmetics manufacturer selling body, face, and hair products, strong omnichannel presence, paid ads

A natural cosmetics manufacturer with 10+ years of presence, selling body, face, and hair products through ecommerce, offline stores, retail chains, and aggregator platforms.

Google Ads had been managed in-house and ran cleanly at 500%+ ROAS for years. Then a brief pause, an unattended restart, and three months later ROAS had collapsed to 230%. They came to Redefine Web to recover the account and rebuild a sustainable target of 400%+.

CHALLENGE

ROAS collapsed from 500%+ to 230% under auto-recommendations + unattended

B2B

Manufacturer, not a retailer

A cosmetics manufacturer needed B2B distributor and retailer leads, not direct consumer purchases.

BUDGET

Small paid budget to prove

Founders wanted evidence a paid channel could produce qualified leads before scaling the investment.

MARKETS

Cross-border demand tests

Interest had to be tested in nearby markets to see where the product story would land hardest.

APPROACH

Strip the noise. Regroup the structure. Monitor every dollar.

Disabled Google auto-recommendations

Stopped the silent acceptance of margin-eroding recommended changes.

Exact + phrase match only

Removed broad-match keywords that were burning budget on irrelevant traffic.

Shopping + PMax regrouped

Segmented around margin tiers rather than the prior catch-all structure.

Weak campaigns shut, not patched

Identified unprofitable campaigns and closed them rather than burning more spend on rescue attempts.

Omnichannel-aware monitoring

Every scale decision checked against offline + retail + aggregator revenue to avoid channel cannibalization.

Program action

Standing workstream inside the engagement.

RESULTS

What the numbers show

A 10-year brand whose paid program had silently slipped into the red was profitable again by month 2 and at 800% ROAS

800%
ROAS

ROAS recovered from 230% to 800% over four months through structural Google Ads rebuild.

+247%
MONTHLY LEADS

Monthly lead volume grew 247% on a stable budget as wasted spend was redirected to profitable segments.

Month 2
RECOVERY SPEED

Target ROAS of 400%+ hit by the second month of engagement, then doubled by month four.

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