Linear television is often treated as the legacy side of an increasingly digital advertising market, but buying national TV inventory still involves forecasting rates, evaluating clearance and finding efficient placements. SoClean’s new national campaign puts that process in focus, using Marketing Architects’ AI-powered media-buying platform Annika to plan and optimize television inventory for its CPAP cleaning device.
SoClean has launched a national TV campaign for its SoClean 3+ CPAP cleaning device in partnership with Marketing Architects, with the agency using its Annika AI platform to determine where the campaign should run.
The technology is the more significant AdTech component of the announcement. According to Marketing Architects, Annika forecasts network rates, clearance and performance to identify television inventory that aligns with SoClean’s target audience.
The campaign is aimed primarily at adults aged 50 and older, an audience with a strong connection to the company’s sleep-apnea use case. Rather than relying exclusively on consumers already searching for a CPAP cleaning product, the strategy uses national linear TV to introduce the category and product to potential buyers.
That distinction illustrates why linear television continues to occupy a role in performance-oriented advertising strategies. Search and social advertising can capture existing demand, but they are less effective when consumers are unaware of a product category or solution. Television can create that initial awareness at scale, provided advertisers can manage the cost and efficiency of inventory.
Marketing Architects is attempting to bring more automation into that traditionally manual process. Annika is designed to evaluate TV inventory before and during campaign planning, using predicted network rates and performance considerations to help determine where advertising dollars should be allocated.
The approach sits between conventional media planning and the increasingly automated buying systems familiar from programmatic advertising. Platforms such as Google Ads and Meta automate significant portions of digital campaign targeting and optimization, while programmatic TV and CTV platforms bring similar principles to connected television. Linear TV remains structurally different, with inventory, schedules and network relationships creating constraints that require specialized buying systems.
That makes AI-assisted forecasting potentially useful. If an advertiser can identify inventory likely to deliver against a particular demographic more efficiently, the media team can spend less time evaluating individual placements and more time managing overall campaign strategy.
The creative itself takes a deliberately unconventional approach. Marketing Architects developed a character named Barry, portrayed as a bacterium arguing against consumers purchasing SoClean 3+. The character is intended to give the campaign a recurring identity rather than functioning as a one-off commercial device.
For AdTech teams, however, the creative is secondary to the media infrastructure behind it. The interesting question is whether AI can make national linear television buying more measurable and efficient without requiring advertisers to abandon the reach that makes TV attractive in the first place.
That is increasingly relevant as marketers divide budgets among linear TV, CTV, social video, search and programmatic media. Amazon, Google and other major advertising platforms are expanding automated media buying and optimization, while specialist providers are attempting to apply similar intelligence to traditional television.
For enterprise advertisers, AI-powered linear TV buying could offer a practical bridge between older and newer media systems. The value will ultimately depend on how accurately platforms forecast inventory performance and whether those predictions translate into incremental reach, lower media costs or stronger business outcomes.
SoClean’s campaign is therefore more than a new television commercial. It provides a small example of how AI is being applied to one of advertising’s oldest channels—making television planning increasingly resemble the data-driven decisioning already expected across digital media.
Market Landscape
Television advertising is increasingly split between linear TV and connected TV, creating different buying and measurement requirements for advertisers.
CTV provides digital targeting and programmatic buying capabilities, while linear TV continues to offer broad reach through established network programming. AI-powered planning tools such as Annika are attempting to improve the efficiency of linear inventory by applying forecasting and predictive analysis to rates, availability and expected performance.
The broader advertising market is moving toward automated decisioning across channels. Google, Meta and Amazon have invested heavily in machine-learning systems that automate targeting, bidding and optimization, while CTV platforms are extending similar capabilities into streaming inventory.
The opportunity for linear TV is to adopt some of that intelligence without losing its scale. For advertisers, the key measure will be whether predictive buying improves efficiency rather than simply adding another layer of technology to the media-planning stack.
Top Insights
- Marketing Architects is using its Annika AI media-buying platform to forecast television rates, clearance and performance for SoClean’s national linear TV campaign.
- The strategy targets adults aged 50 and older, using television to create awareness among potential CPAP users who may not actively search for solutions.
- AI-assisted linear TV planning brings predictive decisioning into a channel traditionally managed through human negotiations, schedules and network-level media planning.
- The campaign illustrates how advertisers are combining traditional television reach with data-driven optimization as budgets increasingly span linear TV, CTV and digital media.
- For enterprise advertisers, the technology’s value will depend on whether predictive inventory selection produces measurable improvements in cost efficiency, reach and campaign outcomes.
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