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David Green Google Ads Strategy & Creative Analysis

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Preview mode shows 10 results on the first screen, with visible dates capped at 2026-04-30. This search actually matched 35 results. Upgrade to membership to view the full set.
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Advertiser Info
NameCountry
David Green US
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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 David Green 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 David Green.

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 David Green.

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
35
Preview Creative ID Format Stability First Seen (Beijing Time) Last Seen (Beijing Time) Landing Domain
CR13722637956324261889 Display
616 days
Very Stable
2024-08-23 2026-04-30 No parsing needed for non-image creatives Detail
CR09226461810557714433 Image
55 days
Growing
2026-03-07 2026-04-30 Waiting for landing-page parsing Detail
CR07862758541017219073 Image
188 days
Stable
2025-10-25 2026-04-30 Waiting for landing-page parsing Detail
CR07810433710364295169 Image
1649 days
Very Stable
2021-10-25 2026-04-30 Waiting for landing-page parsing Detail
CR05343177240232329217 Display
1649 days
Very Stable
2021-10-25 2026-04-30 No parsing needed for non-image creatives Detail
CR14965028921106497537 Image
576 days
Very Stable
2024-10-02 2026-04-30 Waiting for landing-page parsing Detail
CR10144887833198854145 Display
176 days
Consistent
2025-11-06 2026-04-30 No parsing needed for non-image creatives Detail
CR00723510296395644929 Display
938 days
Very Stable
2023-10-06 2026-04-30 No parsing needed for non-image creatives Detail
CR13837910884229316609 Image
36 days
Growing
2026-03-26 2026-04-30 Waiting for landing-page parsing Detail
CR12559649014015852545 Image
188 days
Stable
2025-10-25 2026-04-30 Waiting for landing-page parsing Detail
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Page Summary

David Green currently matches 35 displayable creatives in public Google Ads data; the historical archive also maps this advertiser to 1 landing domains.

  • Latest visible activity: 2026-05-10.
  • Sample recurring landing domains: amazon.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 2026-05-10, which makes this page active within the last 30 days.
Landing Domain Pattern
This advertiser currently maps to at least 1 landing domains, including amazon.com.
Stability Signal
The page currently matches 35 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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