CALPAK’s Meta Ad Strategy
Tracked since Feb 2021 · General
Total ads tracked
120
Active now
100
Longest-running ad
2028 days
Avg ad lifespan
348 days
Ad volume over time
the data competitors don’t showCALPAK went from 20 to 120 active ads (6.0×) between Feb '21 and Aug '26.
Signal: started testing video creative around Feb '21.
Proven winners — ranked by days running
our honest performance proxyThe longer an ad runs, the more it’s working. (We never invent CTR or ROAS.)
● Live
Running 22 days
{{product.name}} · since Aug 2026
● Live
Running 22 days
{{product.name}} · since Aug 2026
● Live
Running 19 days
default_collection_headline · since Aug 2026
● Live
Running 16 days
{{product.name}} · since Aug 2026
● Live
Running 16 days
{{product.name}} · since Aug 2026
● Live
Running 16 days
{{product.name}} · since Aug 2026
● Live
Running 16 days
{{product.name}} · since Aug 2026
● Live
Running 16 days
{{product.name}} · since Aug 2026
● Live
Running 15 days
{{product.name}} · since Aug 2026
Format mix
Studio Product80%
Text Overlay16%
Ugc Lifestyle4%
Hook types
Direct Offer33%
Curiosity Gap21%
Social Proof21%
Authority17%
Problem Agitation4%
Question4%
Recently launched
Aug 2026
Aug 2026
Aug 2026
Aug 2026
Aug 2026
Aug 2026
Frequently asked
How many Meta ads is CALPAK running?
CALPAK has 100 active ads right now, out of 120 tracked since Feb 2021.
What is CALPAK's longest-running ad?
Their longest-running ad has stayed live 2028 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 CALPAK 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.
Your AI marketing agent
Run ad research on autopilot
AdWhispr is an AI agent inside Claude & ChatGPT. Research any brand’s ads, clone the winners, and run campaigns across Meta, Google & TikTok.
Try the AdWhispr agent for freeBased on the public Meta Ad Library. Ad-volume trend reconstructed from each ad’s first/last-seen dates.