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Игорь Василенко Google Ads Strategy & Creative Analysis

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Preview mode shows 10 results on the first screen, with visible dates capped at 2026-05-13. This search actually matched 12 results. Upgrade to membership to view the full set.
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Advertiser Info
NameCountry
Игорь Василенко UA
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 Игорь Василенко 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 Игорь Василенко.

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 Игорь Василенко.

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
12
Preview Creative ID Format Stability First Seen (Beijing Time) Last Seen (Beijing Time) Landing Domain
CR11914289581760970753 Image
1094 days
Very Stable
2022-08-13 2025-08-10 payoneer.com Detail
CR17058596624869097473 Image
1093 days
Very Stable
2022-08-13 2025-08-09 payoneer.com Detail
CR10990799251511967745 Image
935 days
Very Stable
2023-01-17 2025-08-08 payoneer.com Detail
CR09420601676730990593 Image
980 days
Very Stable
2022-11-27 2025-08-02 sms-activate.io Detail
CR05051524067203481601 Image
727 days
Very Stable
2023-08-02 2025-07-28 tradernet.com Detail
CR06975910208857964545 Image
465 days
Very Stable
2024-04-19 2025-07-27 hostiq.ua Detail
CR07551867797152727041 Image
1068 days
Very Stable
2022-08-24 2025-07-26 topcashback.com Detail
CR02087506456935923713 Image
1078 days
Very Stable
2022-08-13 2025-07-25 adspower.net Detail
CR12970331123979649025 Image
918 days
Very Stable
2023-01-16 2025-07-21 payoneer.com Detail
CR08202844239176925185 Image
1074 days
Very Stable
2022-08-13 2025-07-21 capitalist.net Detail
2 more creatives are hidden
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Page Summary Currently not ideal for indexing

Игорь Василенко currently matches 12 displayable creatives in public Google Ads data; the historical archive also maps this advertiser to 9 landing domains.

  • Latest visible activity: 2025-08-10.
  • Sample recurring landing domains: adspower.net, capitalist.net, hostiq.ua.
  • 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 2025-08-10, which makes this page historical page with weaker recent activity.
Landing Domain Pattern
This advertiser currently maps to at least 9 landing domains, including adspower.net, capitalist.net, hostiq.ua.
Stability Signal
The page currently matches 12 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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