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IGOR DA SILVA FERNANDES Google Ads Strategy & Creative Analysis

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Preview mode shows 10 results on the first screen, with visible dates capped at 2026-05-03. This search actually matched 30 results. Upgrade to membership to view the full set.
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Advertiser Info
NameCountry
IGOR DA SILVA FERNANDES BR
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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 IGOR DA SILVA FERNANDES 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 IGOR DA SILVA FERNANDES.

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 IGOR DA SILVA FERNANDES.

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
30
Preview Creative ID Format Stability First Seen (Beijing Time) Last Seen (Beijing Time) Landing Domain
CR16793501949050748929 Image
371 days
Very Stable
2025-04-28 2026-05-03 netshoes.com.br Detail
CR09463350809078005761 Image
277 days
Stable
2025-07-31 2026-05-03 liveoficial.com.br Detail
CR04435642163732152321 Image
359 days
Stable
2025-04-29 2026-04-22 Waiting for landing-page parsing Detail
CR09364966714783039489 Image
177 days
Consistent
2025-09-13 2026-03-08 Waiting for landing-page parsing Detail
CR00721266004184793089 Image
169 days
Consistent
2025-09-15 2026-03-02 ellus.com Detail
CR00185214915542253569 Image
18 days
New
2025-12-16 2026-01-02 Waiting for landing-page parsing Detail
CR08894044097900183553 Image
2 days
New
2025-12-16 2025-12-17 Waiting for landing-page parsing Detail
CR05902126586236239873 Image
68 days
Growing
2025-10-02 2025-12-08 lacoste.com Detail
CR11908473697825980417 Image
45 days
Growing
2025-10-20 2025-12-03 Waiting for landing-page parsing Detail
CR01540228306601771009 Image
5 days
New
2025-11-29 2025-12-03 Waiting for landing-page parsing Detail
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Page Summary

IGOR DA SILVA FERNANDES currently matches 30 displayable creatives in public Google Ads data; the historical archive also maps this advertiser to 16 landing domains.

  • Latest visible activity: 2026-05-26.
  • Sample recurring landing domains: acer.com, cabinzero.com, diesel.com.
  • 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 2026-05-26, which makes this page active within the last 30 days.
Landing Domain Pattern
This advertiser currently maps to at least 16 landing domains, including acer.com, cabinzero.com, diesel.com.
Stability Signal
The page currently matches 30 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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