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EMERALD COAST Google Ads Strategy & Creative Analysis

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Preview mode shows 10 results on the first screen, with visible dates capped at 2026-05-15. This search actually matched 500 results. Upgrade to membership to view the full set.
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Advertiser Info
NameCountry
EMERALD COAST FR
Preparing landing-page details /
How To Extract Value From This Page

This page can be analyzed from three angles:

1. If you notice the same landing domain appearing repeatedly, search that domain in the landing-domain filter to see how many ads EMERALD COAST runs to it. In most cases, the more ads a domain receives, the higher the ROI is likely to be, and the more likely it is to be a core offer for EMERALD COAST.

2. Filter by recent activity to find ads that were still active within the last three days. That usually means the ad is still generating profit for EMERALD COAST.

3. Filter by campaign duration to identify ads that have survived for more than 30 days, 90 days, or even a full year. Combined with the two signals above, this helps you quickly judge both profitability and stability.

Ad Creatives
500
Preview Creative ID Format Stability First Seen (Beijing Time) Last Seen (Beijing Time) Landing Domain
CR18418853071485403137 Image
1352 days
Very Stable
2022-09-02 2026-05-15 dcshoes.es Detail
CR18350835736002953217 Image
1424 days
Very Stable
2022-06-22 2026-05-15 dcshoes.co.uk Detail
CR18286334192029532161 Display
1391 days
Very Stable
2022-07-25 2026-05-15 dcshoes.fr Detail
CR18265633961491300353 Image
1384 days
Very Stable
2022-08-01 2026-05-15 dcshoes.de Detail
CR18252138246534332417 Image
1384 days
Very Stable
2022-08-01 2026-05-15 dcshoes-switzerland.ch Detail
CR18176966114012037121 Image
1535 days
Very Stable
2022-03-03 2026-05-15 dcshoes.co.uk Detail
CR18095099261346643969 Image
976 days
Very Stable
2023-09-13 2026-05-15 dcshoes.fr Detail
CR18092262693145673729 Image
1384 days
Very Stable
2022-08-01 2026-05-15 dcshoes.de Detail
CR18015248260171563009 Image
1357 days
Very Stable
2022-08-28 2026-05-15 dcshoes.es Detail
CR17985827905992654849 Image
1337 days
Very Stable
2022-09-17 2026-05-15 dcshoes.it Detail
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Page Summary

EMERALD COAST currently matches 500 displayable creatives in public Google Ads data; the historical archive also maps this advertiser to 16 landing domains.

  • Latest visible activity: 2026-06-14.
  • Sample recurring landing domains: dcschoes-austria.at, dcschoes-netherlands.nl, dcshoes-austria.at.
  • Use this page to judge whether the advertiser is expanding activity, reusing the same landing network, or worth deeper brand-protection and affiliate investigation.
Activity Trend
The latest visible activity is 2026-06-14, which makes this page active within the last 30 days.
Landing Domain Pattern
This advertiser currently maps to at least 16 landing domains, including dcschoes-austria.at, dcschoes-netherlands.nl, dcshoes-austria.at.
Stability Signal
The page currently matches 500 creatives. Higher creative volume makes it easier to judge whether this is a short-lived test or a stable advertising program.
Investigation Value
This page is best for competitor monitoring, brand protection, and affiliate review: first check whether the same domains repeat, then decide whether the pattern looks like a brand site, an agency network, or a traffic bridge.
Recommended Next Steps

How advertiser search works

Advertiser search is designed for starting from a brand name, company name, or agency name and viewing that advertiser’s public Google Ads footprint. Compared with a generic creative library, it is better suited for search-ad and brand-bidding research because it connects advertisers with landing domains.

For competitor analysis, start with the primary advertiser and then branch into domain searches using the landing domains they promote most often.

Common use cases

  • Brand bidding monitoring: identify who consistently advertises around your brand terms or related landing pages.
  • Creative research: observe whether a given advertiser’s creative volume or recency has changed sharply.
  • Agency detection: use repeated patterns across multiple brands to infer whether the same agency or network is operating them.

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