"Political content" is not one category. Treating it like one is the same mistake as keyword blocking, just one level up. A campaign attack ad, a climate policy explainer, and a hyperpartisan opinion piece all get filed under "politics," and they carry entirely different levels of risk and opportunity depending on who is buying against them.
The smart advertisers navigating 2026 are not asking whether to touch political content, they are asking which parts of it matter to their specific campaign or brand, and building controls around that.
Before an advertiser gets to specific issues, there is a foundational layer: what kind of political environment is this, and does it belong anywhere near this campaign.
Peer39 structures this as a small set of suitability categories rather than a single on/off political switch:
This is the foundation, not the finish line. A brand that wants zero political adjacency and a campaign that wants to avoid misinformation-adjacent inventory are both making a suitability decision, they are just making different ones. Neither is served by a single blocklist trying to do both jobs at once.
Suitability tells an advertiser what kind of environment to avoid. Issue-level categories tell them which conversations to activate around or steer clear of, and this is where a campaign or brand's actual strategy shows up.
Peer39 organizes political issue content into four groups:
A campaign running on a cost-of-living platform has a direct reason to activate around Inflation & Economy content, and that contextual alignment works the way it is supposed to. A campaign in a district where immigration is not a deciding issue has just as much reason to ignore that category rather than spend against it by default.
For brands, the same categories work in reverse. A brand does not need to avoid political content wholesale to protect itself from the one or two issues most likely to create a negative association with its specific audience. Excluding Abortion and Immigration content while remaining open to Inflation & Economy or Climate coverage is a materially different, and far less costly, decision than blocking political content as a single category.
Not every brand or campaign fits neatly into a standard issue taxonomy. A campaign running on a hyperlocal ballot measure, or a brand with a specific reputational sensitivity tied to a past controversy, needs categories built around that exact situation rather than the closest standard match.
Peer39 supports custom categories built to a specific audience, market, or messaging priority, so the category structure adapts to the advertiser rather than the other way around.
The same category infrastructure runs underneath both playbooks:
For political campaigns, issue-level categories become an activation tool. Campaigns can align creative and spend with the specific policy conversations their audience is already engaged with, across CTV and web, without having to guess at topic-level targeting or overspend against every political environment indiscriminately.
For non-political campaigns, the same categories become an exclusion tool. Instead of a single "avoid politics" switch that removes far more inventory than the actual risk warrants, brands can exclude the specific issues that carry adjacency risk for them while keeping the rest of the addressable market in play.
In both directions, the controls apply pre-bid, before the impression is bought, and consistently across CTV and web rather than channel by channel. That consistency matters: a category structure that behaves differently on streaming than it does on the open web is not actually giving either side of the market a reliable answer.
The decision every advertiser is actually making this cycle is not whether to engage with political content. It is which specific slice of it deserves attention, spend, or exclusion, and which parts are simply noise that a broader category label was catching by accident.
That decision gets easier once "political content" stops being treated as one thing and starts being treated as the dozen or so distinct conversations it actually is.
See the full category framework, including geographic and demographic signals that pair with issue-level targeting, at Politics in 2026.