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Farhang Nikakhtar Google Ads Strategy & Creative Analysis

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Preview mode shows 10 results on the first screen, with visible dates capped at 2026-05-10. This search actually matched 36 results. Upgrade to membership to view the full set.
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Advertiser Info
NameCountry
Farhang Nikakhtar AU
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 Farhang Nikakhtar 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 Farhang Nikakhtar.

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 Farhang Nikakhtar.

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
36
Preview Creative ID Format Stability First Seen (Beijing Time) Last Seen (Beijing Time) Landing Domain
CR14581522280405270529 Display
91 days
Consistent
 2026-02-09 2026-05-10 No parsing needed for non-image creatives Detail
CR07989283080646950913 Image
53 days
Growing
 2026-03-19 2026-05-10 AI parsing service failed Detail
CR06071520010491133953 Image
955 days
Very Stable
 2023-09-29 2026-05-10 AI parsing service failed Detail
CR15773625775221112833 Display
53 days
Growing
 2026-03-19 2026-05-10 No parsing needed for non-image creatives Detail
CR15129947710993465345 Image
955 days
Very Stable
 2023-09-29 2026-05-10 AI parsing service failed Detail
CR13846175638257401857 Image
51 days
Growing
 2026-03-21 2026-05-10 AI parsing service failed Detail
CR11201438612509949953 Image
5 days
New
 2026-05-06 2026-05-10 AI parsing service failed Detail
CR08198635317255733249 Display
51 days
Growing
 2026-03-21 2026-05-10 No parsing needed for non-image creatives Detail
CR07843332489836756993 Image
766 days
Very Stable
 2024-04-05 2026-05-10 AI parsing service failed Detail
CR18305231738894286849 Image
951 days
Very Stable
 2023-09-29 2026-05-06 AI parsing service failed Detail
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Page Summary Currently not ideal for indexing

Farhang Nikakhtar currently matches 36 displayable creatives in public Google Ads data; the historical archive also maps this advertiser to 1 landing domains.

  • Latest visible activity: 2026-06-10.
  • Sample recurring landing domains: eventbrite.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 2026-06-10, which makes this page active within the last 30 days.
Landing Domain Pattern
This advertiser currently maps to at least 1 landing domains, including eventbrite.com.
Stability Signal
The page currently matches 36 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
eventbrite.com Open
Open this recurring landing domain first to inspect the advertiser’s wider landing-page network.
Open brand bidding guide Open
Use this when you need a clearer workflow for brand-bidding and brand-protection review.
Open competitor analysis page Open
Pair this advertiser page with the strategy page to judge whether the pattern is normal or aggressive.
See pricing and trial Open
Use this when you need deeper history, broader domain coverage, or repeat monitoring.

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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