Markwayne Mullin US Inactive
MULLIN FOR CONGRESS
Donate Here >>
Click here to make your contribution.
Ad copy
With the Coronavirus, my team has had to cancel important meetings and fundraising events. However, the 2020 election is still happening and we must reclaim the House majority. Now more than ever, we are relying on online support. Can you donate $5 today and help continue our conservative movement?
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 28.0/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 43.0 · 4.1 · 65.1 |
| Spend range | <USD 99 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 14.14 |
| Est. audience size | 50,001 – 100,000 |
| Days live | 16 (2020-04-06 → 2020-04-22) |
| Created | 2020-04-06 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | OK — Markwayne Mullin |
| Surfaced by | “senate:Markwayne Mullin” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | professional |
| Who pictured | candidate |
| Symbols | us flag |
| Call to action | donate |
| Standout element | Bold red MULLIN campaign logo against American flag backdrop with direct-gaze candidate portrait |
| Tactic | COVID disruption is leveraged as urgency trigger to pivot in-person fundraising to online small-dollar donations, reinforcing conservative identity framing to motivate base giving. |
Where it ran (delivery by region)
| Oklahoma | 25.4% |
| Texas | 7.9% |
| Florida | 7.6% |
| New York | 3.6% |
| Pennsylvania | 3.4% |
| California | 3.1% |
| Ohio | 3.0% |
Who saw it (delivery)
| 45-54 · unknown | 0.1% |
| 65+ · unknown | 0.3% |
| 35-44 · unknown | 0.2% |
| 65+ · female | 38.3% |
| 55-64 · female | 13.6% |
| 18-24 · male | 1.3% |
| 65+ · male | 15.9% |
| 25-34 · female | 2.1% |
| 45-54 · female | 5.5% |
| 55-64 · male | 7.8% |
| 35-44 · male | 3.0% |
| 45-54 · male | 4.7% |
| 35-44 · female | 3.2% |
| 25-34 · male | 3.0% |
| 55-64 · unknown | 0.3% |
| 18-24 · female | 0.7% |
