Silk Touch Laser Epil

Silk Touch Laser Epil’s Meta Ad Strategy

Tracked since Oct 2025 · General

● Tracked over time
Total ads tracked
26
Active now
6
Longest-running ad
367 days
Avg ad lifespan
137 days

Ad volume over time

the data competitors don’t show

Silk Touch Laser Epil went from 1 to 26 active ads (26.0×) between Oct '25 and Oct '26.

Oct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26Oct '2626

Signal: started testing video creative around Nov '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.)

Running 21 days
𝐒𝐊𝐎𝐑𝐙𝐘𝐒𝐓𝐀𝐉 𝐙 𝐎𝐅𝐄𝐑𝐓𝐘 · since Sep 2026
Running 21 days
𝐒𝐊𝐎𝐑𝐙𝐘𝐒𝐓𝐀𝐉 𝐙 𝐎𝐅𝐄𝐑𝐓𝐘 · since Sep 2026
Running 14 days
𝐒𝐊𝐎𝐑𝐙𝐘𝐒𝐓𝐀𝐉 𝐙 𝐎𝐅𝐄𝐑𝐓𝐘 👉🏻 · since Sep 2026
Running 14 days
𝐒𝐊𝐎𝐑𝐙𝐘𝐒𝐓𝐀𝐉 𝐙 𝐎𝐅𝐄𝐑𝐓𝐘 👉🏻 · since Sep 2026
Running 1 days
𝐒𝐊𝐎𝐑𝐙𝐘𝐒𝐓𝐀𝐉 𝐙 𝐎𝐅𝐄𝐑𝐓𝐘 👉🏻 · since Oct 2026
Running 1 days
𝐒𝐊𝐎𝐑𝐙𝐘𝐒𝐓𝐀𝐉 𝐙 𝐎𝐅𝐄𝐑𝐓𝐘 👉🏻 · since Oct 2026
Running 367 days
Gładka skóra bez podrażnień? Teraz to możliwe! · since Oct 2025
Running 339 days
Teraz z rabatem -50% na pierwszą wizytę depilacji laserowej🤍 · since Nov 2025
Running 295 days
𝐒𝐊𝐎𝐑𝐙𝐘𝐒𝐓𝐀𝐉 𝐙 𝐎𝐅𝐄𝐑𝐓𝐘 👉🏻 · since Dec 2025

Format mix

Text Overlay56%
Ugc Lifestyle20%
Before After12%
Ugc Talking Head8%
Slideshow4%

Hook types

Question52%
Direct Offer48%

Recently launched

Oct 2026
Oct 2026
Sep 2026
Sep 2026
Sep 2026
Sep 2026

AdWhispr is not affiliated with or endorsed by the brands shown.

Frequently asked

How many Meta ads is Silk Touch Laser Epil running?
Silk Touch Laser Epil has 6 active ads right now, out of 26 tracked since Oct 2025.
What is Silk Touch Laser Epil's longest-running ad?
Their longest-running ad has stayed live 367 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 Silk Touch Laser Epil 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.