Tops Thailand - ท็อปส์ ไทยแลนด์

Tops Thailand - ท็อปส์ ไทยแลนด์’s Meta Ad Strategy

Tracked since Jul 2025 · Saas

● Tracked over time
Total ads tracked
104
Active now
100
Longest-running ad
393 days
Avg ad lifespan
79 days

Ad volume over time

the data competitors don’t show

Tops Thailand - ท็อปส์ ไทยแลนด์ went from 3 to 104 active ads (34.7×) between Jul '25 and Aug '26.

Jul '25Aug '25Sep '25Oct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26104

Signal: started testing video creative around Aug '25.

Proven winners — ranked by days running

our honest performance proxy

The longer an ad runs, the more it’s working. (We never invent CTR or ROAS.)

● Live
Running 393 days
{{product.name}} · since Jul 2025
● Live
Running 393 days
{{product.name}} · since Jul 2025
● Live
Running 393 days
{{product.name}} · since Jul 2025
● Live
Running 283 days
{{product.name}} · since Nov 2025
● Live
Running 283 days
{{product.name}} · since Nov 2025
● Live
Running 232 days
{{product.name}} · since Jan 2026
● Live
Running 226 days
{{product.name}} · since Jan 2026
● Live
Running 226 days
{{product.name}} · since Jan 2026
● Live
Running 225 days
{{product.name}} · since Jan 2026

Format mix

Studio Product92%
Text Overlay8%

Hook types

Direct Offer100%

Recently launched

Aug 2026
Aug 2026
Aug 2026
Aug 2026
Aug 2026
Aug 2026

Frequently asked

How many Meta ads is Tops Thailand - ท็อปส์ ไทยแลนด์ running?
Tops Thailand - ท็อปส์ ไทยแลนด์ has 100 active ads right now, out of 104 tracked since Jul 2025.
What is Tops Thailand - ท็อปส์ ไทยแลนด์'s longest-running ad?
Their longest-running ad has stayed live 393 days. The longer an ad runs, the more it's likely working — AdWhispr uses ad longevity as an honest proxy for performance, and never invents CTR or ROAS.
Where does this Tops Thailand - ท็อปส์ ไทยแลนด์ ad data come from?
The public Meta Ad Library, tracked daily. We reconstruct ad-volume trends and creative-format shifts over time from each ad's first- and last-seen dates.
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Based on the public Meta Ad Library. Ad-volume trend reconstructed from each ad’s first/last-seen dates.