Philip Kingsley

Philip Kingsley’s Meta Ad Strategy

Tracked since Aug 2025 · General

● Tracked over time
Total ads tracked
120
Active now
100
Longest-running ad
400 days
Avg ad lifespan
86 days

Ad volume over time

the data competitors don’t show

Philip Kingsley went from 3 to 120 active ads (40.0×) between Aug '25 and Sep '26.

Aug '25Sep '25Oct '25Nov '25Dec '25Jan '26Feb '26Mar '26Apr '26May '26Jun '26Jul '26Aug '26Sep '26120

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.)

Running 231 days
{{product.name}} · since Feb 2026
Running 230 days
{{product.name}} · since Feb 2026
Running 134 days
{{product.name}} · since May 2026
Running 134 days
Philip Kingsley · since May 2026
Running 110 days
{{product.name}} · since Jun 2026
Running 110 days
{{product.name}} · since Jun 2026
Running 110 days
{{product.name}} · since Jun 2026
Running 110 days
{{product.name}} · since Jun 2026
Running 104 days
Subscribe & Save · since Jun 2026

Format mix

Studio Product40%
Text Overlay32%
Ugc Talking Head16%
Ugc Lifestyle12%

Hook types

Direct Offer39%
Problem Agitation30%
Authority17%
Social Proof4%
Story4%
Testimonial4%

Recently launched

Sep 2026
Sep 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 Philip Kingsley running?
Philip Kingsley has 100 active ads right now, out of 120 tracked since Aug 2025.
What is Philip Kingsley's longest-running ad?
Their longest-running ad has stayed live 400 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 Philip Kingsley 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.