Joe Tate US Inactive
TATE FOR MICHIGAN
Donate to Democrat Joe Tate
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Ad copy
Donald Trump and Republicans are cutting taxes for the wealthy and well-connected, and they’re stacking the deck against everyday Michiganders. It’s clear: politics as usual isn’t working. So, I’m running for Senate to show up, fight back, and be a leader who will get things done for Michiganders. I know it won’t be easy, but just like on the battlefield and the football field, I’ve never backed down from a fight. If you’re with me, please chip in any amount today to become a Founding Donor of this campaign.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 19.9/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 24.3 · 4.1 · 51.2 |
| Spend range | <USD 99 |
| Impressions | 100 – 999 |
| CPM (≈ $/1k impr) | USD 90.08 |
| Est. audience size | — |
| Days live | 16 (2025-06-10 → 2025-06-26) |
| Created | 2025-06-10 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MI — Joe Tate |
| Surfaced by | “senate:Joe Tate” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | contrast comparison |
| Message type | fundraising |
| Emotional appeal | anger |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | capitol statue |
| Call to action | donate |
| Standout element | Candidate staring intensely into camera with microphone wire visible, projecting raw authenticity and fighter's resolve |
| Tactic | The ad uses a classic contrast frame — painting Republican tax cuts as rigged against everyday people — while leveraging the candidate's military and athletic background to establish toughness and credibility, anchored by a direct-to-camera fundraising ask. |
Where it ran (delivery by region)
| California | 17.6% |
| Michigan | 15.0% |
| New York | 5.8% |
| Texas | 5.4% |
| Florida | 4.8% |
| Massachusetts | 3.5% |
| Illinois | 3.2% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 18-24 · male | 1.6% |
| 25-34 · female | 0.3% |
| 25-34 · male | 0.6% |
| 25-34 · unknown | 0.3% |
| 35-44 · female | 2.9% |
| 35-44 · male | 2.6% |
| 35-44 · unknown | 0.3% |
| 45-54 · female | 4.8% |
| 45-54 · male | 3.8% |
| 55-64 · female | 11.2% |
| 55-64 · male | 8.0% |
| 65+ · female | 37.7% |
| 65+ · male | 24.6% |
| 65+ · unknown | 0.6% |
