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See Tickets AG Google Ads Strategy & Creative Analysis

Relevant suggestions appear first; direct submit searches by the entered name and shows the results
Preview mode shows 10 results on the first screen, with visible dates capped at 2026-05-25. This search actually matched 139 results. Upgrade to membership to view the full set.
Remaining guest searches today: 5 / 6
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Advertiser Info
NameCountry
See Tickets AG CH
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 See Tickets AG 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 See Tickets AG.

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 See Tickets AG.

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
139
Preview Creative ID Format Stability First Seen (Beijing Time) Last Seen (Beijing Time) Landing Domain
CR12482848178355306497 Image
1357 days
Very Stable
2022-08-13 2026-04-30 seetickets.com Detail
CR15566174525497278465 Image
60 days
Growing
2026-02-09 2026-04-09 seetickets.com Detail
CR09763513317342576641 Image
4 days
New
2026-04-06 2026-04-09 seetickets.com Detail
CR05912701439964086273 Image
15 days
New
2026-03-26 2026-04-09 seetickets.com Detail
CR01907114609278451713 Image
11 days
New
2026-03-30 2026-04-09 seetickets.com Detail
CR00786721606423543809 Image
18 days
New
2026-03-23 2026-04-09 seetickets.com Detail
CR10938158972691021825 Image
8 days
New
2026-04-01 2026-04-08 seetickets.com Detail
CR04330815369385082881 Image
8 days
New
2026-04-01 2026-04-08 seetickets.com Detail
CR13000035882302963713 Image
30 days
Growing
2026-03-07 2026-04-05 seetickets.com Detail
CR13701200357210718209 Image
20 days
New
2026-03-16 2026-04-04 seetickets.com Detail
129 more creatives are hidden
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Page Summary Currently not ideal for indexing

See Tickets AG currently matches 139 displayable creatives in public Google Ads data; the historical archive also maps this advertiser to 1 landing domains.

  • Latest visible activity: 2026-04-30.
  • Sample recurring landing domains: seetickets.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 2026-04-30, which makes this page active within the last 90 days.
Landing Domain Pattern
This advertiser currently maps to at least 1 landing domains, including seetickets.com.
Stability Signal
The page currently matches 139 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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