Myprotein’s Meta Ad Strategy
Tracked since Jan 2025 · Health App
Total ads tracked
120
Active now
100
Longest-running ad
588 days
Avg ad lifespan
93 days
Ad volume over time
the data competitors don’t showMyprotein went from 2 to 120 active ads (60.0×) between Jan '25 and Aug '26.
Signal: started testing video creative around Jul '25.
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 418 days
{{product.name}} · since Jul 2025
● Live
Running 418 days
{{product.name}} · since Jul 2025
● Live
Running 257 days
{{product.name}} · since Dec 2025
● Live
Running 236 days
{{product.name}} · since Jan 2026
● Live
Running 160 days
{{product.name}} · since Mar 2026
● Live
Running 151 days
{{product.name}} · since Mar 2026
● Live
Running 140 days
{{product.name}} · since Apr 2026
● Live
Running 137 days
Download the Myprotein App Today · since Apr 2026
● Live
Running 135 days
Download the Myprotein App Today · since Apr 2026
Format mix
Studio Product68%
Text Overlay24%
Ugc Lifestyle8%
Hook types
Direct Offer76%
Authority20%
Curiosity Gap4%
Recently launched
Aug 2026
Aug 2026
Aug 2026
Aug 2026
Aug 2026
Aug 2026
Frequently asked
How many Meta ads is Myprotein running?
Myprotein has 100 active ads right now, out of 120 tracked since Jan 2025.
What is Myprotein's longest-running ad?
Their longest-running ad has stayed live 588 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 Myprotein 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.