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Qinglan Meng Google Ads Strategy & Creative Analysis

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Preview mode shows 10 results on the first screen, with visible dates capped at 2026-05-09. This search actually matched 26 results. Upgrade to membership to view the full set.
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Advertiser Info
NameCountry
Qinglan Meng CN
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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 Qinglan Meng 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 Qinglan Meng.

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 Qinglan Meng.

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
26
Preview Creative ID Format Stability First Seen (Beijing Time) Last Seen (Beijing Time) Landing Domain
CR11023441776055681025 Image
355 days
Stable
2024-08-02 2025-07-22 sixt.co.uk Detail
CR14582035571946815489 Image
579 days
Very Stable
2023-11-04 2025-06-04 Waiting for landing-page parsing Detail
CR08962023723569774593 Image
577 days
Very Stable
2023-11-06 2025-06-04 Waiting for landing-page parsing Detail
CR07838036760801050625 Image
579 days
Very Stable
2023-11-04 2025-06-04 Waiting for landing-page parsing Detail
CR03043706107060027393 Image
579 days
Very Stable
2023-11-04 2025-06-04 Waiting for landing-page parsing Detail
CR01233202792785510401 Image
577 days
Very Stable
2023-11-06 2025-06-04 Waiting for landing-page parsing Detail
CR16657914968296914945 Image
576 days
Very Stable
2023-11-06 2025-06-03 Waiting for landing-page parsing Detail
CR15396461684524580865 Image
576 days
Very Stable
2023-11-06 2025-06-03 Waiting for landing-page parsing Detail
CR09491014487273111553 Image
575 days
Very Stable
2023-11-07 2025-06-03 Waiting for landing-page parsing Detail
CR09376470612886683649 Image
582 days
Very Stable
2023-10-31 2025-06-03 Waiting for landing-page parsing Detail
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Page Summary Currently not ideal for indexing

Qinglan Meng currently matches 26 displayable creatives in public Google Ads data; the historical archive also maps this advertiser to 5 landing domains.

  • Latest visible activity: 2025-07-22.
  • Sample recurring landing domains: asaptickets.com, bandolierstyle.com, sixt.co.uk.
  • 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 2025-07-22, which makes this page historical page with weaker recent activity.
Landing Domain Pattern
This advertiser currently maps to at least 5 landing domains, including asaptickets.com, bandolierstyle.com, sixt.co.uk.
Stability Signal
The page currently matches 26 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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